diff --git a/data/data_analyst_20240825.csv b/data/data_analyst_20240825.csv new file mode 100644 index 0000000..944a88d --- /dev/null +++ b/data/data_analyst_20240825.csv @@ -0,0 +1,21259 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +3982555780,https://uk.linkedin.com/jobs/view/data-analyst-at-deliveroo-3982555780?position=1&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=cXAg7w%2Fs1AIOldQuEBsc0g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Deliveroo,"London, England, United Kingdom","The Role + +At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. + +We are looking for a Data Analyst that is passionate about metrics and telling the stories behind the data. We have several roles open across different teams (grocery, loyalty, restaurants). Data Analysts at Deliveroo report into our data science management team. + +You will be a professional in insights storytelling, communication and visualisation and know how to create action from metrics. Crafting effective intelligent benchmarks, understanding performance, caring about data quality, enabling automation and creating phenomenal visualisations and stories are things that drive you. + +What you'll be doing + + + +Work closely with commercial stakeholders to create value and business impact through better data availability, visualisation and analysis +Discover, analyse, and interpret trends or patterns in complex datasets to perform ad-hoc analyses and deliver insights to the executive team and senior management +Understand key drivers of the business and provide data driven guidance on key levers +Identify and specify data needs and quality requirements and work closely with Analytics Engineers to ensure data is available, accurate and corresponds to the business needs +Consolidate and distribute best analytical practices from different teams and countries + + + +Requirements + + + +Experience identifying the root cause of problems, assessing risks/impacts and determining and implementing effective solutions. +A good understanding of querying in SQL and understanding of database structure - you'll be expected to be able to extract the data you need for your analysis. +Compelling story-telling skills, and an eye for powerful visualisations - you'll need to translate your findings for all levels of stakeholder (business and technical) +Good knowledge of Excel/GSheets - depending on the task, there is a good chance that this is where some of your exploratory analysis will take place. Being comfortable with pivot tables and functions will be essential. +Developer experience with a data visualisation tool (Looker, Tableau, Periscope) + + + +Why Deliveroo + +Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. . We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. + +We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. + +Workplace & Benefits + +At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. This role in a Hybrid position. + +Diversity + +At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry. + +We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed. + +Please click here to view our candidate privacy policy. + +Please click here to view our candidate privacy policy. +Show more ","
+ + + + + +
+
+ The Role

At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo.

We are looking for a Data Analyst that is passionate about metrics and telling the stories behind the data. We have several roles open across different teams (grocery, loyalty, restaurants). Data Analysts at Deliveroo report into our data science management team.

You will be a professional in insights storytelling, communication and visualisation and know how to create action from metrics. Crafting effective intelligent benchmarks, understanding performance, caring about data quality, enabling automation and creating phenomenal visualisations and stories are things that drive you.

What you'll be doing


  • Work closely with commercial stakeholders to create value and business impact through better data availability, visualisation and analysis
  • Discover, analyse, and interpret trends or patterns in complex datasets to perform ad-hoc analyses and deliver insights to the executive team and senior management
  • Understand key drivers of the business and provide data driven guidance on key levers
  • Identify and specify data needs and quality requirements and work closely with Analytics Engineers to ensure data is available, accurate and corresponds to the business needs
  • Consolidate and distribute best analytical practices from different teams and countries


Requirements


  • Experience identifying the root cause of problems, assessing risks/impacts and determining and implementing effective solutions.
  • A good understanding of querying in SQL and understanding of database structure - you'll be expected to be able to extract the data you need for your analysis.
  • Compelling story-telling skills, and an eye for powerful visualisations - you'll need to translate your findings for all levels of stakeholder (business and technical)
  • Good knowledge of Excel/GSheets - depending on the task, there is a good chance that this is where some of your exploratory analysis will take place. Being comfortable with pivot tables and functions will be essential.
  • Developer experience with a data visualisation tool (Looker, Tableau, Periscope)


Why Deliveroo

Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. . We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it.

We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.

Workplace & Benefits

At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. This role in a Hybrid position.

Diversity

At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.

We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.

Please click here to view our candidate privacy policy.

Please click here to view our candidate privacy policy. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-13,[] +4004566527,https://uk.linkedin.com/jobs/view/junior-insight-analyst-at-liberty-4004566527?position=2&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=7BM%2By9sx6SR%2F8czZdMY6Fg%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Insight Analyst,Liberty.,"London Area, United Kingdom","The Insight Analyst will be a junior role; supporting Liberty and the Insights & Analytics team by providing actionable insight to help the business deliver an unparalleled customer experience, as well as driving improvement in key business metrics. + + + + +The successful candidate will be someone with excellent communication skills, engaging with stakeholders at all levels of the business. They will play an integral role in influencing both business and customer strategies through quantitative data analysis. + + + + +They will work closely with the Insights & Analytics Manager to develop key analytics strategies and approaches to improving processes within the business. + + + + +Key Responsibilities: + +Communicate with stakeholders to capture requirements and identify key opportunities for improvement +Use analytical and storytelling skills, taking the business owners on a journey to better understand the customer +Ownership of regular and ad-hoc customer insight reports +Work closely with the Insights & Analyst Manager to deliver action orientated insights +Analysis of CRM campaigns across all marketing channels including the post campaign analysis to ensure ROI on activity +Continuously improve existing reporting methods within Liberty +Improve the efficiency of existing reporting methods using data visualisation and techniques in SQL, Microsoft Excel and BI +Help monitor customer data quality and ensure any issues are appropriately resolved or escalated with IT stakeholders. + + + + +Acting as a provider of insights and reporting, the successful candidate will show the ability to work with a wide range of stakeholders across the business. They will show an interest in customer insights, product performance and the entire purchasing journey on the Liberty website and in the Flagship store. They will be willing to use new tools and approaches to insights. + +Knowledge, Skills and Abilities + +Analysing data sets in Excel +Presenting results and key recommendations in Powerpoint (or equivalent tool) +SQL and data interrogation of data sets +Communication with stakeholders +E-commerce analytics experience + + + + +Desirables + +Data Visualisation and BI (eg Power BI, Tableau, Pyramid Analytics) +Google Analytics +Retail and Customer Experience +Marketing campaign analysis +Show more ","
+ + + + + +
+
+

The Insight Analyst will be a junior role; supporting Liberty and the Insights & Analytics team by providing actionable insight to help the business deliver an unparalleled customer experience, as well as driving improvement in key business metrics.


The successful candidate will be someone with excellent communication skills, engaging with stakeholders at all levels of the business. They will play an integral role in influencing both business and customer strategies through quantitative data analysis.


They will work closely with the Insights & Analytics Manager to develop key analytics strategies and approaches to improving processes within the business.


Key Responsibilities:

  • Communicate with stakeholders to capture requirements and identify key opportunities for improvement
  • Use analytical and storytelling skills, taking the business owners on a journey to better understand the customer
  • Ownership of regular and ad-hoc customer insight reports
  • Work closely with the Insights & Analyst Manager to deliver action orientated insights
  • Analysis of CRM campaigns across all marketing channels including the post campaign analysis to ensure ROI on activity
  • Continuously improve existing reporting methods within Liberty
  • Improve the efficiency of existing reporting methods using data visualisation and techniques in SQL, Microsoft Excel and BI
  • Help monitor customer data quality and ensure any issues are appropriately resolved or escalated with IT stakeholders.


Acting as a provider of insights and reporting, the successful candidate will show the ability to work with a wide range of stakeholders across the business. They will show an interest in customer insights, product performance and the entire purchasing journey on the Liberty website and in the Flagship store. They will be willing to use new tools and approaches to insights.

Knowledge, Skills and Abilities

  • Analysing data sets in Excel
  • Presenting results and key recommendations in Powerpoint (or equivalent tool)
  • SQL and data interrogation of data sets
  • Communication with stakeholders
  • E-commerce analytics experience


Desirables

  • Data Visualisation and BI (eg Power BI, Tableau, Pyramid Analytics)
  • Google Analytics
  • Retail and Customer Experience
  • Marketing campaign analysis
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-19,[] +3996220170,https://uk.linkedin.com/jobs/view/data-analyst-marketing-at-bumble-inc-3996220170?position=3&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=KcVGOUsYOq%2BiGAYmgYpuYA%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Analyst, Marketing",Bumble Inc.,"London, England, United Kingdom","Bumble Inc. is seeking an experienced Marketing Analyst to work with our paid marketing stakeholders, take an integrated ecosystem approach and support critical business decisions across all of our apps. This is a unique opportunity for an experienced analyst who enjoys the fast paced environment of a growing company, has experience in marketing and has a passion to contribute to helping the Bumble Inc. mission to foster kind connections. + +You would ideally have an extensive background in marketing analytics at an app based tech company, with proven experience of driving commercial impact through applying analytics to critical business problems.  + +You bring experience of working with complex sources of both Brand and Paid Marketing data and use that knowledge to partner with stakeholders and senior leaders, taking a holistic approach to find answers. You are comfortable challenging priorities and communicating analytical roadmaps. + +You understand the high-level business model of the company and the primary drivers and output metrics to efficiently receive a stakeholder request, draft a project/insights brief and proactively ask for additional scope clarity where necessary. + +Remaining laser-focused on the ""so what"" of the findings, and how the insights support business decisions you take an integrated perspective to analytics, considers all the potential drivers to a problem, reviewing existing knowledge and bringing in expertise for advice from other teams. + +You enjoy efficiently producing insights that inform decision-making as well as providing support for an extensive experimentation program. Passionate about continual improvement, both personally and for the team around you, you always look for feedback to strive for higher quality of deliverables. + + + + +KEY ACCOUNTABILITIES +You will build and deliver analytical roadmaps to support the longer term vision of marketing measurement within the business. This includes reporting, handling of ad-hoc requests and data visibility, experimentation, and ongoing measurement of marketing campaigns +You will provide insights and recommendations which are actionable and relevant to your stakeholders, automating decision-making where necessary, and providing tools and solutions that help enable self-service and scalability.  +You will act as a trusted thought partner as the analytical authority in your domain. You will likely be dedicated to a set of specific initiatives and projects, where you will be expected to act as a representative of the Advanced Data Analytics team, demonstrating our values, capabilities, and competencies.  +You will develop a deep knowledge on the marketing domain, becoming the authority on its limitations, as well as measurement possibilities. You will proactively educate stakeholder functions to further democratise this understanding +You will contribute to data quality as it relates to the domain, proactively working with Data and Analytics Eng. and other teams to improve data collection and modelling +You will build and manage self-serve data products, a knowledge base of insights, and provide direct support, to empower others to fully understand the value of data in their day-to-day work +You will create an environment of utilising data for planning and execution, always keeping in mind alternative and creative solutions of measurement across a variety of marketing initiatives.  + + + + + +REQUIRED EXPERIENCE & SKILLS +Preference for a graduate degree in Mathematics, Engineering, Information Sciences, Economics, Finance, or STEM. PhD and Masters welcome +Preference for experience working in similar dating/social/gaming tech product industries or else app based product +You will have had experience setting up experimentation, measurement, and data collection in the marketing domain +You keep an eye out on the industry, understanding how the wider dating industry influences our pricing and promotional strategy.  +You understand the concept and complexity of marketing measurement and MMM +You will have deep experience of the marketing domain across multiple tactics, including MMM, Churn, LTV and an understanding of the tooling/vendor landscape and opportunities for automation or introduction of genAi.  +You have experience working with complex data infrastructures and have experience partnering and guiding the work of data engineering to help facilitate ingestion, warehousing, and optimisation of databases.   +3+ years experience in commercial analytics, being able to elaborate on the business impact you have driven in your previous experience.  +Strong experience with data engineering and data modelling requirements needed to automate reporting and measurement.  + + + + + +ABOUT YOU +A strong believer in Bumble Inc.’s brand vision and values +Engaging, inspiring and clear communicator. A proven track record of socialising and embedding analytical findings to drive business outcomes, up to exec level.  +Deep commercial understanding and a proven ability of creating impact through the power of customer-led insights +Comfort in operating in ambiguous and complex problem spaces, helping teams you work with to define the questions that help support the business, and confidence in pushing back and saying no when needed.  +A love of collaborating with colleagues and stakeholders to arrive at rounded and balanced perspectives in your work, a strong desire to learn from others   +Commercially minded, with a keen sense of where insights can fuel growth +Strong experience with python/SQL, visualisation tooling such as Looker/Tableau, and machine learning/data science tooling such as Streamlit/Count/Kubeflow +Strong governance and data quality mindset +Understands and can demonstrate machine learning and advanced analytical marketing impact in an organisation.  + + + + + +Show more ","
+ + + + + +
+
+

Bumble Inc. is seeking an experienced Marketing Analyst to work with our paid marketing stakeholders, take an integrated ecosystem approach and support critical business decisions across all of our apps. This is a unique opportunity for an experienced analyst who enjoys the fast paced environment of a growing company, has experience in marketing and has a passion to contribute to helping the Bumble Inc. mission to foster kind connections.

You would ideally have an extensive background in marketing analytics at an app based tech company, with proven experience of driving commercial impact through applying analytics to critical business problems. 

You bring experience of working with complex sources of both Brand and Paid Marketing data and use that knowledge to partner with stakeholders and senior leaders, taking a holistic approach to find answers. You are comfortable challenging priorities and communicating analytical roadmaps.

You understand the high-level business model of the company and the primary drivers and output metrics to efficiently receive a stakeholder request, draft a project/insights brief and proactively ask for additional scope clarity where necessary.

Remaining laser-focused on the ""so what"" of the findings, and how the insights support business decisions you take an integrated perspective to analytics, considers all the potential drivers to a problem, reviewing existing knowledge and bringing in expertise for advice from other teams.

You enjoy efficiently producing insights that inform decision-making as well as providing support for an extensive experimentation program. Passionate about continual improvement, both personally and for the team around you, you always look for feedback to strive for higher quality of deliverables.


KEY ACCOUNTABILITIES
  • You will build and deliver analytical roadmaps to support the longer term vision of marketing measurement within the business. This includes reporting, handling of ad-hoc requests and data visibility, experimentation, and ongoing measurement of marketing campaigns
  • You will provide insights and recommendations which are actionable and relevant to your stakeholders, automating decision-making where necessary, and providing tools and solutions that help enable self-service and scalability. 
  • You will act as a trusted thought partner as the analytical authority in your domain. You will likely be dedicated to a set of specific initiatives and projects, where you will be expected to act as a representative of the Advanced Data Analytics team, demonstrating our values, capabilities, and competencies. 
  • You will develop a deep knowledge on the marketing domain, becoming the authority on its limitations, as well as measurement possibilities. You will proactively educate stakeholder functions to further democratise this understanding
  • You will contribute to data quality as it relates to the domain, proactively working with Data and Analytics Eng. and other teams to improve data collection and modelling
  • You will build and manage self-serve data products, a knowledge base of insights, and provide direct support, to empower others to fully understand the value of data in their day-to-day work
  • You will create an environment of utilising data for planning and execution, always keeping in mind alternative and creative solutions of measurement across a variety of marketing initiatives. 


REQUIRED EXPERIENCE & SKILLS
  • Preference for a graduate degree in Mathematics, Engineering, Information Sciences, Economics, Finance, or STEM. PhD and Masters welcome
  • Preference for experience working in similar dating/social/gaming tech product industries or else app based product
  • You will have had experience setting up experimentation, measurement, and data collection in the marketing domain
  • You keep an eye out on the industry, understanding how the wider dating industry influences our pricing and promotional strategy. 
  • You understand the concept and complexity of marketing measurement and MMM
  • You will have deep experience of the marketing domain across multiple tactics, including MMM, Churn, LTV and an understanding of the tooling/vendor landscape and opportunities for automation or introduction of genAi. 
  • You have experience working with complex data infrastructures and have experience partnering and guiding the work of data engineering to help facilitate ingestion, warehousing, and optimisation of databases.  
  • 3+ years experience in commercial analytics, being able to elaborate on the business impact you have driven in your previous experience. 
  • Strong experience with data engineering and data modelling requirements needed to automate reporting and measurement. 


ABOUT YOU
  • A strong believer in Bumble Inc.’s brand vision and values
  • Engaging, inspiring and clear communicator. A proven track record of socialising and embedding analytical findings to drive business outcomes, up to exec level. 
  • Deep commercial understanding and a proven ability of creating impact through the power of customer-led insights
  • Comfort in operating in ambiguous and complex problem spaces, helping teams you work with to define the questions that help support the business, and confidence in pushing back and saying no when needed. 
  • A love of collaborating with colleagues and stakeholders to arrive at rounded and balanced perspectives in your work, a strong desire to learn from others  
  • Commercially minded, with a keen sense of where insights can fuel growth
  • Strong experience with python/SQL, visualisation tooling such as Looker/Tableau, and machine learning/data science tooling such as Streamlit/Count/Kubeflow
  • Strong governance and data quality mindset
  • Understands and can demonstrate machine learning and advanced analytical marketing impact in an organisation. 


+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-08,[] +3997302339,https://uk.linkedin.com/jobs/view/data-analyst-at-payabl-3997302339?position=5&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=%2BpWR%2F0WEr0nOpMxhsOcLkA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,payabl.,"London, England, United Kingdom","payabl. empowers businesses to grow through payments innovation and banking services. Our ambition is to expand our strong portfolio of global financial services we provide to business and make them all available in one place on our platform we call payabl.one. + +As a licensed financial company with principal membership with card schemes, we specialize in global payments and providing businesses with multi-currency accounts. With offices located in Frankfurt, Amsterdam, Limassol, and London, we are currently undergoing significant expansion and are looking for a Data Analyst to join our team. This role can be in one of our offices in Frankfurt, Limassol, Amsterdam, or London, it can also be remote anywhere in Europe. + +This role is about: + +The Data Analyst role is responsible for collecting, processing data of business information systems to discover useful information, suggest conclusions, and support decision-making. Furthermore you will identify challenges and opportunities within the organization and provide solutions that help achieve the business' goals. Strong technology, analytical and communication skills are must-have traits. You will be a driving force in data systems development, backing up suggestions with evidence. + +You will: + + +Analyse data, outlining challenges, opportunities and solutions based on the internal and external data +Filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance +Use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends +Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable at a glance +Prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes +Work with other departments to understand their data needs and help them make informed decisions based on data insights + + + +What we need: + + +Excellent communication and interpersonal skills +Excellent at presenting data analysis insights to any type of audience in a clear and actionable way +Have a sense of ownership and assume end-to-end responsibility in everything you do +Experience working with senior decision makers +Conduct data analysis with Python (Pandas, Matplotlib, SciPy), SQL, Excel +Experience with data visualization tools (Power BI, Tableau or Qlik) and databases (PostgreSQL, BigQuery, Apache Druid) +Ability to automate data reports, ensuring efficiency and accuracy in data delivery +Familiarity with tools and software that enable scheduling and automatic generation of reports (e.g., cron jobs, Apache Airflow, Microsoft Power Automate) +Experience with Event Tracking, conceptualizing product events, and product analytics tools (Amplitude, Google Analytics, Matomo, etc.) + + + +The perks of being a payabler: + + +🚗 Drive in Style: After your probation, a sleek company car is all yours. +Future-Proof Your Finances: Jump on board, and after your probation period, we'll kickstart your Provident Fund +🌱 Grow Without Limits: Our environment is all about nurturing your talents and fueling your ambition with endless opportunities for professional development. +Speak Like a Local: Greek language classes, offered twice a week for all team members. +💳 Shop and Save: Get exclusive access to a discount card at various local businesses. +🌍Thrive in a multicultural workplace that celebrates diversity and values your unique contributions. Here, every perspective is appreciated, and every voice is heard. +Lead the Charge in Pioneering Projects: Be at the forefront of innovation by playing a key role in groundbreaking projects. +🏝 Max Out Your Downtime: With 25 days off plus public holidays, and an extra 10 days for when you're under the weather, we make sure you have ample time to relax, recharge, and return brighter. +📚 Support for Your Educational Aspirations: We're here to support your educational pursuits because we believe in investing in your growth. +🍔 Wolt Your Way Through Lunch: Enjoy a Wolt lunch allowance of €150 per month + + +Ready to Join Us? + +Let's embark on a journey to redefine the landscape of payments together. We're not just offering a role; we're inviting you to be a part of something bigger. Join our team, and let's innovate, disrupt, and lead the future of payments. Together, we can make an impact that resonates. Welcome to the team! + +If this role seems like a good match, please submit your resume all applications are treated with the strictest confidentiality. Please note that we may keep your CV for a period of one (1) year for future relevant job opportunities. For more information about how we process your data please see our privacy policy at https://www.payabl.com/privacy-policy +Show more ","
+ + + + + +
+
+ payabl. empowers businesses to grow through payments innovation and banking services. Our ambition is to expand our strong portfolio of global financial services we provide to business and make them all available in one place on our platform we call payabl.one.

As a licensed financial company with principal membership with card schemes, we specialize in global payments and providing businesses with multi-currency accounts. With offices located in Frankfurt, Amsterdam, Limassol, and London, we are currently undergoing significant expansion and are looking for a Data Analyst to join our team. This role can be in one of our offices in Frankfurt, Limassol, Amsterdam, or London, it can also be remote anywhere in Europe.

This role is about:

The Data Analyst role is responsible for collecting, processing data of business information systems to discover useful information, suggest conclusions, and support decision-making. Furthermore you will identify challenges and opportunities within the organization and provide solutions that help achieve the business' goals. Strong technology, analytical and communication skills are must-have traits. You will be a driving force in data systems development, backing up suggestions with evidence.

You will:

  • Analyse data, outlining challenges, opportunities and solutions based on the internal and external data
  • Filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance
  • Use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends
  • Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable at a glance
  • Prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes
  • Work with other departments to understand their data needs and help them make informed decisions based on data insights


What we need:

  • Excellent communication and interpersonal skills
  • Excellent at presenting data analysis insights to any type of audience in a clear and actionable way
  • Have a sense of ownership and assume end-to-end responsibility in everything you do
  • Experience working with senior decision makers
  • Conduct data analysis with Python (Pandas, Matplotlib, SciPy), SQL, Excel
  • Experience with data visualization tools (Power BI, Tableau or Qlik) and databases (PostgreSQL, BigQuery, Apache Druid)
  • Ability to automate data reports, ensuring efficiency and accuracy in data delivery
  • Familiarity with tools and software that enable scheduling and automatic generation of reports (e.g., cron jobs, Apache Airflow, Microsoft Power Automate)
  • Experience with Event Tracking, conceptualizing product events, and product analytics tools (Amplitude, Google Analytics, Matomo, etc.)


The perks of being a payabler:

  • 🚗 Drive in Style: After your probation, a sleek company car is all yours.
  • Future-Proof Your Finances: Jump on board, and after your probation period, we'll kickstart your Provident Fund
  • 🌱 Grow Without Limits: Our environment is all about nurturing your talents and fueling your ambition with endless opportunities for professional development.
  • Speak Like a Local: Greek language classes, offered twice a week for all team members.
  • 💳 Shop and Save: Get exclusive access to a discount card at various local businesses.
  • 🌍Thrive in a multicultural workplace that celebrates diversity and values your unique contributions. Here, every perspective is appreciated, and every voice is heard.
  • Lead the Charge in Pioneering Projects: Be at the forefront of innovation by playing a key role in groundbreaking projects.
  • 🏝 Max Out Your Downtime: With 25 days off plus public holidays, and an extra 10 days for when you're under the weather, we make sure you have ample time to relax, recharge, and return brighter.
  • 📚 Support for Your Educational Aspirations: We're here to support your educational pursuits because we believe in investing in your growth.
  • 🍔 Wolt Your Way Through Lunch: Enjoy a Wolt lunch allowance of €150 per month

Ready to Join Us?

Let's embark on a journey to redefine the landscape of payments together. We're not just offering a role; we're inviting you to be a part of something bigger. Join our team, and let's innovate, disrupt, and lead the future of payments. Together, we can make an impact that resonates. Welcome to the team!

If this role seems like a good match, please submit your resume all applications are treated with the strictest confidentiality. Please note that we may keep your CV for a period of one (1) year for future relevant job opportunities. For more information about how we process your data please see our privacy policy at https://www.payabl.com/privacy-policy +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +4004352559,https://uk.linkedin.com/jobs/view/data-analyst-at-sephora-4004352559?position=6&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=sxmrf6O20Qzvve5hnJPYJQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,SEPHORA,"London Area, United Kingdom","The Opportunity + + + + + + + +Analytics is the compass that guides Sephora on its strategic journey, and we are on the lookout for a Data Analyst who can harness the power of data to propel our business forward. As a Data Analyst, you'll play a critical role in analyzing and interpreting customer data to drive business decisions across our digital platforms. Leveraging your strong experience in BigQuery SQL, you'll craft scripts that seamlessly integrate back-end data with Google Analytics 4 for in-depth customer analysis and segmentation. + + + + +Your expertise in data modeling will enable you to map out data structures that support the creation and maintenance of dashboards and reports, tracking key performance indicators (KPIs) related to online engagement, traffic, conversion rates, and marketing effectiveness. In this role, you'll work with data visualization tools like Power BI and Google Data Studio to develop compelling visual reports that convey complex insights in a clear and actionable manner. Additionally, you'll ensure the accuracy and quality of data, while effectively communicating your insights to non-technical stakeholders. + + + + + + + +You will also be responsible for: + +Writing and optimizing BigQuery SQL scripts for GA4 analysis, integrating back-end data to segment and analyze customer data. +Developing and maintaining dashboards and regular weekly/monthly reports to track KPIs related to performance, online engagement, A/B testing, traffic, conversion rates, marketing attribution, and campaign effectiveness. +Using data visualization tools such as Power BI and Google Data Studio to create clear, actionable insights for stakeholders. +Engaging in data modeling to effectively map out data structures that support business goals. +Utilizing digital analytics tools like Google Analytics and Quantum Metric to deliver data-driven recommendations. +Ensuring the accuracy and quality of data while drawing insightful conclusions and making strategic recommendations. + + + + + + + +What You'll Bring + + + + + + + +Your passion for detail is matched by your logical thinking and curiosity. You not only obsess over details but also possess the agility to communicate improvements rapidly and clearly. You thrive in an ever-evolving landscape, where driving innovation and continuous improvement is paramount. We are looking for a detail-oriented Data Analyst with strong analytical skills, capable of working both independently and collaboratively within a dynamic team environment. + +We value ambition paired with a logical mindset—individuals who are curious, inquisitive, and able to articulate suggestions with precision. You will utilize your strong foundation in BigQuery SQL, particularly in GA4 analysis, coupled with hands-on experience in data visualization using tools like Power BI. Your deep understanding of digital analytics, especially within Ecommerce and Retail, will enable you to provide actionable insights that drive business success. Your proficiency in digital analytics tools such as Google Analytics and Quantum Metric will be essential in providing recommendations that optimize performance. + + + + + + + +Our ideal candidate will also possess: + +Proficiency in Google Analytics, Quantum Metric, or similar digital analytics platforms. +Experience with Google Marketing Platform. +Strong communication skills, both written and verbal, for conveying complex data insights to non-technical stakeholders. +An eye for detail and a commitment to data accuracy and quality. +Familiarity with Google Tag Manager, A/B testing tools, competitor research using market share tools, setting up data feed APIs, and UX platforms would be advantageous. + + + + + + + +While at Sephora, You’ll Enjoy... + + + + + + + +The people. You will be surrounded by some of the most talented leaders and teams – people you can be proud to work with. +The learning. We invest in training and developing our teams, and you will continue evolving and building your skills through personalized career plans. +The culture. As a leading beauty retailer within the LVMH family, our reach is broad, and our impact is global. It is in our DNA to innovate and, at Sephora, all 40,000 passionate team members across 35 markets and 3,000 stores, are united by a common goal - to reimagine the future of beauty. +Show more ","
+ + + + + +
+
+

The Opportunity



Analytics is the compass that guides Sephora on its strategic journey, and we are on the lookout for a Data Analyst who can harness the power of data to propel our business forward. As a Data Analyst, you'll play a critical role in analyzing and interpreting customer data to drive business decisions across our digital platforms. Leveraging your strong experience in BigQuery SQL, you'll craft scripts that seamlessly integrate back-end data with Google Analytics 4 for in-depth customer analysis and segmentation.


Your expertise in data modeling will enable you to map out data structures that support the creation and maintenance of dashboards and reports, tracking key performance indicators (KPIs) related to online engagement, traffic, conversion rates, and marketing effectiveness. In this role, you'll work with data visualization tools like Power BI and Google Data Studio to develop compelling visual reports that convey complex insights in a clear and actionable manner. Additionally, you'll ensure the accuracy and quality of data, while effectively communicating your insights to non-technical stakeholders.



You will also be responsible for:

  • Writing and optimizing BigQuery SQL scripts for GA4 analysis, integrating back-end data to segment and analyze customer data.
  • Developing and maintaining dashboards and regular weekly/monthly reports to track KPIs related to performance, online engagement, A/B testing, traffic, conversion rates, marketing attribution, and campaign effectiveness.
  • Using data visualization tools such as Power BI and Google Data Studio to create clear, actionable insights for stakeholders.
  • Engaging in data modeling to effectively map out data structures that support business goals.
  • Utilizing digital analytics tools like Google Analytics and Quantum Metric to deliver data-driven recommendations.
  • Ensuring the accuracy and quality of data while drawing insightful conclusions and making strategic recommendations.



What You'll Bring



Your passion for detail is matched by your logical thinking and curiosity. You not only obsess over details but also possess the agility to communicate improvements rapidly and clearly. You thrive in an ever-evolving landscape, where driving innovation and continuous improvement is paramount. We are looking for a detail-oriented Data Analyst with strong analytical skills, capable of working both independently and collaboratively within a dynamic team environment.

We value ambition paired with a logical mindset—individuals who are curious, inquisitive, and able to articulate suggestions with precision. You will utilize your strong foundation in BigQuery SQL, particularly in GA4 analysis, coupled with hands-on experience in data visualization using tools like Power BI. Your deep understanding of digital analytics, especially within Ecommerce and Retail, will enable you to provide actionable insights that drive business success. Your proficiency in digital analytics tools such as Google Analytics and Quantum Metric will be essential in providing recommendations that optimize performance.



Our ideal candidate will also possess:

  • Proficiency in Google Analytics, Quantum Metric, or similar digital analytics platforms.
  • Experience with Google Marketing Platform.
  • Strong communication skills, both written and verbal, for conveying complex data insights to non-technical stakeholders.
  • An eye for detail and a commitment to data accuracy and quality.
  • Familiarity with Google Tag Manager, A/B testing tools, competitor research using market share tools, setting up data feed APIs, and UX platforms would be advantageous.



While at Sephora, You’ll Enjoy...



  • The people. You will be surrounded by some of the most talented leaders and teams – people you can be proud to work with.
  • The learning. We invest in training and developing our teams, and you will continue evolving and building your skills through personalized career plans.
  • The culture. As a leading beauty retailer within the LVMH family, our reach is broad, and our impact is global. It is in our DNA to innovate and, at Sephora, all 40,000 passionate team members across 35 markets and 3,000 stores, are united by a common goal - to reimagine the future of beauty.
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-21,[] +3996220189,https://uk.linkedin.com/jobs/view/associate-data-analyst-revenue-at-bumble-inc-3996220189?position=7&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=EhblTbRJqbs%2BvXKAaOHeRQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Associate Data Analyst, Revenue",Bumble Inc.,"London, England, United Kingdom","We’re looking for curious analysts interested in being considered for a Data Analyst role in the Advanced Data Analytics team and who are buzzing to solve impactful questions for exciting products in the online dating industry and beyond. + +In this role, you’ll support our stakeholders with data and insights related to a variety of business areas. You’ll be involved in experimentation design and planning, visualisations, trend diagnostics, dashboarding and much, much more.  + + + + +What you’ll do +You’ll have access to the most diverse, varied and complex data sets in the technology world right now (10’s of billions of data points per day!!) +You’ll be doing all the typical day-to-day tasks such as generating practical insights from the data, manipulating complex datasets, helping us understand how to improve and optimise our members experience to facilitate the creation of meaningful, equitable and healthy relationships +Unlock your potential by upskilling in SQL, Python and other essential tools, empowering you to expand your skill set and excel in your career +You will help uncover tactical and strategic insights and support experimentation in a range of areas such as revenue management, operations and strategy. For instance, you could work on testing and validating pricing and promotion based opportunities across our portfolio of apps.  +You will make contributions to the data model and could contribute to building out data pipelines +You’ll collaborate closely with several potential teams including Product Managers, strategists, operations managers, and Data Engineers PLUS, you’ll be building detailed, entrepreneurial and business-minded insights that directly contribute to the successful growth of Bumble Inc + + + + + + + +You are a data analyst with expertise in SQL, data visualisation, A/B testing, statistical knowledge and storytelling, etc, is entrepreneurial, gets excited about building from scratch, and is relentlessly experimenting in pursuit of building a product that members love. You have confidence in the following: +Supporting experimentation analytics (e.g. A/B testing, user group testing): significance analysis, non-parametric methods, bootstrapping, causal inference +Manipulating complex datasets using a range of tools such as SQL and Hive +Building effective self serve tools and visualisations to help optimise decision making +Engaging and collaborating with key stakeholders such as developers, product managers, and senior management +Identifying issues and opportunities, translating business problems into analytical diagnoses and delivering insights that answer the most pressing questions +Supporting engineers and teammates in improving data quality, and specifying requirements for new data collection +Partnering with the wider analytics / data science team to solve business problems +Experience in Python is desirable but not required +Experience with data modelling and make domain-specific data models is a plus + + + + + +Show more ","
+ + + + + +
+
+

We’re looking for curious analysts interested in being considered for a Data Analyst role in the Advanced Data Analytics team and who are buzzing to solve impactful questions for exciting products in the online dating industry and beyond.

In this role, you’ll support our stakeholders with data and insights related to a variety of business areas. You’ll be involved in experimentation design and planning, visualisations, trend diagnostics, dashboarding and much, much more. 


What you’ll do
  • You’ll have access to the most diverse, varied and complex data sets in the technology world right now (10’s of billions of data points per day!!)
  • You’ll be doing all the typical day-to-day tasks such as generating practical insights from the data, manipulating complex datasets, helping us understand how to improve and optimise our members experience to facilitate the creation of meaningful, equitable and healthy relationships
  • Unlock your potential by upskilling in SQL, Python and other essential tools, empowering you to expand your skill set and excel in your career
  • You will help uncover tactical and strategic insights and support experimentation in a range of areas such as revenue management, operations and strategy. For instance, you could work on testing and validating pricing and promotion based opportunities across our portfolio of apps. 
  • You will make contributions to the data model and could contribute to building out data pipelines
  • You’ll collaborate closely with several potential teams including Product Managers, strategists, operations managers, and Data Engineers PLUS, you’ll be building detailed, entrepreneurial and business-minded insights that directly contribute to the successful growth of Bumble Inc



    • You are a data analyst with expertise in SQL, data visualisation, A/B testing, statistical knowledge and storytelling, etc, is entrepreneurial, gets excited about building from scratch, and is relentlessly experimenting in pursuit of building a product that members love. You have confidence in the following:
    • Supporting experimentation analytics (e.g. A/B testing, user group testing): significance analysis, non-parametric methods, bootstrapping, causal inference
    • Manipulating complex datasets using a range of tools such as SQL and Hive
    • Building effective self serve tools and visualisations to help optimise decision making
    • Engaging and collaborating with key stakeholders such as developers, product managers, and senior management
    • Identifying issues and opportunities, translating business problems into analytical diagnoses and delivering insights that answer the most pressing questions
    • Supporting engineers and teammates in improving data quality, and specifying requirements for new data collection
    • Partnering with the wider analytics / data science team to solve business problems
    • Experience in Python is desirable but not required
    • Experience with data modelling and make domain-specific data models is a plus


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +4001571656,https://uk.linkedin.com/jobs/view/data-analyst-at-allica-bank-4001571656?position=10&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=pXWs7GDaAK%2BRzTLyEUZs3Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Allica Bank,"London Area, United Kingdom","About Allica bank + +Allica is the UK’s fastest growing company - and the fastest-growing financial technology (fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers + + + + +Role Description + +Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk, Product and management. This role will be for the Lending Tribe. + + + + +We are looking for ambitious and curious people who can help us understand our data better, contribute to facilitating the discussions between engineering and the data stakeholders and have an impact on the business by telling stories around the insights they generate. + + + + +You will be an integral part of the lending data squad, and the initial focus will be scaling up our ability to deliver analytics/insights that shape our understanding of the business and enhancing our foundations for automated reporting + + + + +Principal Accountabilities + +Understand our products and processes through the data we have or collect +Work with the Lending Tribe and other stakeholders (Ops, risk, etc) to understand their data needs and provide solutions that address the core need (not just the immediate request) +Contribute meaningful insights from our data that proactively drive decisions and new lines of inquiry +Build visualizations and reports that enable the Lending business to service their ongoing data needs and measure KPIs +Develop data knowledge base (definitions, working rhythms etc.) within the team that enables us to become an information hub for the business + + + + +Personal Attributes & Experience + +Previous experience working as a data analyst (in finance is desirable but not essential) +You like to investigate and challenge narratives using data +The ability to write queries in SQL with logic to combine multiple data sources +You work well with stakeholders across the business. +You communicate effectively and are comfortable with learning how to translate technical detail into business and commercial language. +You have a solid foundation in Python programming OR a strong desire to learn + + + + +Don’t tick every box? + +Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you! + + + + +Flexible working + +We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate. + + + + +Diversity + +We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like. + + + + +Additional Information + +Working at Allica Bank + +At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers. + + + + +Our employees are at the heart of everything we do, so our benefits are designed with you in mind: + +Full onboarding support and continued development opportunities +Options for flexible working +Regular social activities +25 days holiday – with the option to Buy/Sell +Pension contributions +Discretionary bonus scheme +Private health cover (with the option to add family members) +Life assurance +Income Protection +Family friendly policies including enhanced Maternity & Paternity leave +Season ticket loans +Show more ","
    + + + + + +
    +
    +

    About Allica bank

    Allica is the UK’s fastest growing company - and the fastest-growing financial technology (fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers


    Role Description

    Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk, Product and management. This role will be for the Lending Tribe.


    We are looking for ambitious and curious people who can help us understand our data better, contribute to facilitating the discussions between engineering and the data stakeholders and have an impact on the business by telling stories around the insights they generate.


    You will be an integral part of the lending data squad, and the initial focus will be scaling up our ability to deliver analytics/insights that shape our understanding of the business and enhancing our foundations for automated reporting


    Principal Accountabilities

    • Understand our products and processes through the data we have or collect
    • Work with the Lending Tribe and other stakeholders (Ops, risk, etc) to understand their data needs and provide solutions that address the core need (not just the immediate request)
    • Contribute meaningful insights from our data that proactively drive decisions and new lines of inquiry
    • Build visualizations and reports that enable the Lending business to service their ongoing data needs and measure KPIs
    • Develop data knowledge base (definitions, working rhythms etc.) within the team that enables us to become an information hub for the business


    Personal Attributes & Experience

    • Previous experience working as a data analyst (in finance is desirable but not essential)
    • You like to investigate and challenge narratives using data
    • The ability to write queries in SQL with logic to combine multiple data sources
    • You work well with stakeholders across the business.
    • You communicate effectively and are comfortable with learning how to translate technical detail into business and commercial language.
    • You have a solid foundation in Python programming OR a strong desire to learn


    Don’t tick every box?

    Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you!


    Flexible working

    We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate.


    Diversity

    We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like.


    Additional Information

    Working at Allica Bank

    At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers.


    Our employees are at the heart of everything we do, so our benefits are designed with you in mind:

    • Full onboarding support and continued development opportunities
    • Options for flexible working
    • Regular social activities
    • 25 days holiday – with the option to Buy/Sell
    • Pension contributions
    • Discretionary bonus scheme
    • Private health cover (with the option to add family members)
    • Life assurance
    • Income Protection
    • Family friendly policies including enhanced Maternity & Paternity leave
    • Season ticket loans
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3996681898,https://uk.linkedin.com/jobs/view/data-analyst-at-handelsbanken-3996681898?position=12&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=sugF9IvAN5jmonwPaT7ibw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Handelsbanken,"London, England, United Kingdom","Job Introduction + +Working within the Risk Models and Data team, part of the banks' 2LOD Risk function, this role as Data Analyst is to work within the Data Analytics workstream of the team. + +This is a great opportunity for an analytics professional to be part of a diverse analytics team and be actively involved in a broad range of initiatives. + +Main Responsibilities + + +Run regular production of MI and ad-hoc requests for data analysis +Support the development of robust data analysis for both ad-hoc and regular management reporting +Support the development of efficient management information (MI) production +Support the resolution of Data Quality issues and the Data Lineage activities of the team +Support the build out of a robust data governance and data quality process within the risk function + + +Ideal Candidate + +Research (by Harvard University) shows that women are particularly likely to second guess themselves and not apply - so if you are worried you don't meet all the criteria, get in touch anyhow and let us do the worrying… + + +A strong communicator who can collaborate cross-functionally +Have relevant experience working with data analysis within financial services +Ideally you will be degree educated, or equivalent, preferably in a STEM subject +Have an intermediate knowledge of SAS and SQL; and be eager to develop further +Have a good understanding of risk/financial terminology and be interested in developing this knowledge further +Be comfortable working with various MS Excel features such as formulas and pivot tables. Knowledge of Power BI is also desirable; but not mandatory + + +Company Information + +Handelsbanken is a relationship bank with a decentralised way of working, a strong local presence thanks to a nationwide network of branches, and a long-term approach to customer relations. Each Handelsbanken branch operates as a local business enabling it to make decisions at a local level and provide a bespoke service. The focus is always on the need of the individual customer and not on the sale of specific products. + +The Bank is deeply committed to embedding good equality and diversity practice into all of our activities. This is so that we are an inclusive, welcoming and inspiring place to work that encourages everyone to apply, regardless of socio-economic background, age, disability, pregnancy and/or parental status, race (including colour, nationality, and ethnic or national origin), veteran status, marital and civil partnership status, religion or belief, sex, gender reassignment or sexual orientation. + +Check our Handelsbanken website for further information + +At Handelsbanken, we deeply value our unique culture and values including trust in and respect for each individual. We take pride in nurturing a work environment where people flourish, and where they are empowered to take decisions in their areas of expertise. We take a long term perspective in everything we do and want each employee who joins us to build a long terms successful career with the Bank. + +What is in it for you? + + +We have a wide range of learning and development available, empowering and enabling our colleagues to take ownership of their own development. +Competitive Salary and an extensive range of benefits is provided, including private medical insurance, income protection and life assurance +A market-leading pension contribution of 15% paid by the bank, which can be invested in a wide range of funds (including ESG and Shariah funds) + + +Application next steps + +Your journey with us begins once you have submitted your application. One of our Handelsbanken recruiters will be reviewing your details and will later organise a phone conversation if you match the role requirements. If there is a mutual fit, we will extend an invitation for you to participate in an interview. + +How can we support you to be your best self? Our Talent Acquisition team will be happy to provide support e.g. if you need additional time to prepare for an interview or you have any requirements for any part of the interview/hiring process – just let us know by email uk_talent@careers.handelsbanken.co.uk . + +This advert will be live for a minimum of two weeks. However, please note that after the two weeks, the closing date could change at any time depending on the number of responses received. + + +Show more ","
    + + + + + +
    +
    + Job Introduction

    Working within the Risk Models and Data team, part of the banks' 2LOD Risk function, this role as Data Analyst is to work within the Data Analytics workstream of the team.

    This is a great opportunity for an analytics professional to be part of a diverse analytics team and be actively involved in a broad range of initiatives.

    Main Responsibilities

    • Run regular production of MI and ad-hoc requests for data analysis
    • Support the development of robust data analysis for both ad-hoc and regular management reporting
    • Support the development of efficient management information (MI) production
    • Support the resolution of Data Quality issues and the Data Lineage activities of the team
    • Support the build out of a robust data governance and data quality process within the risk function

    Ideal Candidate

    Research (by Harvard University) shows that women are particularly likely to second guess themselves and not apply - so if you are worried you don't meet all the criteria, get in touch anyhow and let us do the worrying…

    • A strong communicator who can collaborate cross-functionally
    • Have relevant experience working with data analysis within financial services
    • Ideally you will be degree educated, or equivalent, preferably in a STEM subject
    • Have an intermediate knowledge of SAS and SQL; and be eager to develop further
    • Have a good understanding of risk/financial terminology and be interested in developing this knowledge further
    • Be comfortable working with various MS Excel features such as formulas and pivot tables. Knowledge of Power BI is also desirable; but not mandatory

    Company Information

    Handelsbanken is a relationship bank with a decentralised way of working, a strong local presence thanks to a nationwide network of branches, and a long-term approach to customer relations. Each Handelsbanken branch operates as a local business enabling it to make decisions at a local level and provide a bespoke service. The focus is always on the need of the individual customer and not on the sale of specific products.

    The Bank is deeply committed to embedding good equality and diversity practice into all of our activities. This is so that we are an inclusive, welcoming and inspiring place to work that encourages everyone to apply, regardless of socio-economic background, age, disability, pregnancy and/or parental status, race (including colour, nationality, and ethnic or national origin), veteran status, marital and civil partnership status, religion or belief, sex, gender reassignment or sexual orientation.

    Check our Handelsbanken website for further information

    At Handelsbanken, we deeply value our unique culture and values including trust in and respect for each individual. We take pride in nurturing a work environment where people flourish, and where they are empowered to take decisions in their areas of expertise. We take a long term perspective in everything we do and want each employee who joins us to build a long terms successful career with the Bank.

    What is in it for you?

    • We have a wide range of learning and development available, empowering and enabling our colleagues to take ownership of their own development.
    • Competitive Salary and an extensive range of benefits is provided, including private medical insurance, income protection and life assurance
    • A market-leading pension contribution of 15% paid by the bank, which can be invested in a wide range of funds (including ESG and Shariah funds)

    Application next steps

    Your journey with us begins once you have submitted your application. One of our Handelsbanken recruiters will be reviewing your details and will later organise a phone conversation if you match the role requirements. If there is a mutual fit, we will extend an invitation for you to participate in an interview.

    How can we support you to be your best self? Our Talent Acquisition team will be happy to provide support e.g. if you need additional time to prepare for an interview or you have any requirements for any part of the interview/hiring process – just let us know by email uk_talent@careers.handelsbanken.co.uk .

    This advert will be live for a minimum of two weeks. However, please note that after the two weeks, the closing date could change at any time depending on the number of responses received.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4003527655,https://uk.linkedin.com/jobs/view/consumer-insights-analyst-at-the-lego-group-4003527655?position=13&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=mc%2BCqauT0bFLg7TeWzr5dw%3D%3D&trk=public_jobs_jserp-result_search-card,Consumer Insights Analyst,the LEGO Group,"Slough, England, United Kingdom","Job Description + +Do you have a passion for consumer data? + +Join us to define and drive positive changes to help us remain at the front edge of consumer engagement through an interconnected ecosystem of touchpoints! + +No relocation assistance is offered for this position. + + +Core Responsibilities + + + + + +Drives communication of our consumers’ voice for CSE, Digital Consumer Engagement (DCE) and the LEGO Group through provision of survey and contact analysis +Reviews consumer survey data, including voice and text comments, and creates insights and trend reporting +Produces Product Team reporting into focused areas of consumer insight, utilising CSE contact data in connection with other data sources +Builds consumer journey focused insights and reporting focused on solving issues and supporting improvement initiatives +Works with partner business teams to proactively define analytic questions, scopes of work and align on priorities, all the while challenging status quo beliefs through insights +Collaborate in cross-functional projects using data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimisation opportunities +Analyses performance from a well-rounded view, transforming raw data into measurable insights using data points from Quant and Qual platforms, working across all CSE’s channels/consumer touchpoints +Delivers results of analytical initiatives and insight activities to stakeholders, utilising presentation skills and storytelling to communicate and influence successfully + + + + +Play your part in our team succeeding + +LEGO Consumer & Shopper Engagement (CSE) has the objective of putting the voice of the consumer at the heart of everything we do, providing the insights to drive data-based decision making at all levels. + +We are looking for a Consumer Insights Analyst to bring their skills with data analysis, insights creation and communication to contribute to our growth and development. Our data comes from a wide range of interactions with consumers, from phone calls to chatbots to social media, and is evolving all the time. We have the vision to fully utilise this data to drive consumer-focused decision making across the business, and this position will play a key role in driving the realisation. + +Do you have what it takes? + + + + + +Advanced data analytics, modelling, and visualisation skills, including use of Power BI or Tableau and the delivery of this in-person and remotely +Shown experience delivering consumer focussed deep-dive reports with strong storytelling narratives via presentations that motivate change +Ability to utilise various data sources to synthesise insights +Experience working with databases, producing data analytics, reporting and dashboards to monitor and communicate performance metrics, including the automation of these +Excellent communication and partner management skills, including proactively defining questions, scope, and delivery +Ability to work both independently and in close collaboration with cross-functional project teams +Engagement and understanding of other business areas, data/insights sources, strategies, challenges +Experience with programming languages like SQL or Python would be advantageous + + + + +Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible. + +What’s in it for you? + +Here is what you can expect + +Family Care Leave - We offer enhanced paid leave options for those important times. + +Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind. + +Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity. + +Colleague Discount – We know you'll love to build, so from day 1 you will qualify for our generous colleague discount. + +Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme. + +Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process. + +Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong. + +The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team. + +Research shows that women and people from different minority backgrounds often only apply for a job if they meet 100% of the listed qualifications. If you dream of being a part of our team and you meet many, but not all of our listed qualifications for this role, please apply. + +The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer. + +Thank you for sharing our global commitment to Children’s Rights. + +Just imagine building your dream career. + +Then make it real. + +Join the LEGO® team today. + + +Show more ","
    + + + + + +
    +
    + Job Description

    Do you have a passion for consumer data?

    Join us to define and drive positive changes to help us remain at the front edge of consumer engagement through an interconnected ecosystem of touchpoints!

    No relocation assistance is offered for this position.


    Core Responsibilities



    • Drives communication of our consumers’ voice for CSE, Digital Consumer Engagement (DCE) and the LEGO Group through provision of survey and contact analysis
    • Reviews consumer survey data, including voice and text comments, and creates insights and trend reporting
    • Produces Product Team reporting into focused areas of consumer insight, utilising CSE contact data in connection with other data sources
    • Builds consumer journey focused insights and reporting focused on solving issues and supporting improvement initiatives
    • Works with partner business teams to proactively define analytic questions, scopes of work and align on priorities, all the while challenging status quo beliefs through insights
    • Collaborate in cross-functional projects using data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimisation opportunities
    • Analyses performance from a well-rounded view, transforming raw data into measurable insights using data points from Quant and Qual platforms, working across all CSE’s channels/consumer touchpoints
    • Delivers results of analytical initiatives and insight activities to stakeholders, utilising presentation skills and storytelling to communicate and influence successfully



    Play your part in our team succeeding

    LEGO Consumer & Shopper Engagement (CSE) has the objective of putting the voice of the consumer at the heart of everything we do, providing the insights to drive data-based decision making at all levels.

    We are looking for a Consumer Insights Analyst to bring their skills with data analysis, insights creation and communication to contribute to our growth and development. Our data comes from a wide range of interactions with consumers, from phone calls to chatbots to social media, and is evolving all the time. We have the vision to fully utilise this data to drive consumer-focused decision making across the business, and this position will play a key role in driving the realisation.

    Do you have what it takes?



    • Advanced data analytics, modelling, and visualisation skills, including use of Power BI or Tableau and the delivery of this in-person and remotely
    • Shown experience delivering consumer focussed deep-dive reports with strong storytelling narratives via presentations that motivate change
    • Ability to utilise various data sources to synthesise insights
    • Experience working with databases, producing data analytics, reporting and dashboards to monitor and communicate performance metrics, including the automation of these
    • Excellent communication and partner management skills, including proactively defining questions, scope, and delivery
    • Ability to work both independently and in close collaboration with cross-functional project teams
    • Engagement and understanding of other business areas, data/insights sources, strategies, challenges
    • Experience with programming languages like SQL or Python would be advantageous



    Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.

    What’s in it for you?

    Here is what you can expect

    Family Care Leave - We offer enhanced paid leave options for those important times.

    Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.

    Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.

    Colleague Discount – We know you'll love to build, so from day 1 you will qualify for our generous colleague discount.

    Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme.

    Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.

    Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.

    The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.

    Research shows that women and people from different minority backgrounds often only apply for a job if they meet 100% of the listed qualifications. If you dream of being a part of our team and you meet many, but not all of our listed qualifications for this role, please apply.

    The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.

    Thank you for sharing our global commitment to Children’s Rights.

    Just imagine building your dream career.

    Then make it real.

    Join the LEGO® team today.

     +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3992476863,https://uk.linkedin.com/jobs/view/data-analyst-at-bauer-media-group-3992476863?position=16&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=WzSttbzMZMK3LkGCMY9aOQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Bauer Media Group,"London Area, United Kingdom","Data Analyst + +Bauer Media Audio + +London - Hybrid (1-2 times per month) + + + + +Sadly we are not able to sponsor candidates + + + + +Bauer Media Audio is leading the charge in transforming our digital business, scaling innovative products and services across 9 dynamic territories. We're excited to announce the formation of our Centre of Excellence (CoE) within the Audio Data Organisation, and we are searching for passionate, driven individuals to join us. Be a key player in this pivotal transformation as we evolve our data architecture and engineering solutions, supporting high value implementations for future platforms. Our mission? To enhance user experience, engagement, competitions, and commercial ventures. + + + + +The role: + +As a Data Analyst at Bauer Media Audio, you will play a crucial role in supporting our Marketing, Commercial, and Product teams by enabling them to use data effectively. Your primary focus will be on the Competitions, CRM, Ad, and Finance data domains, acting as the bridge between business needs and the central data organization. You will empower local teams to make actionable decisions based on data insights, ensuring data-driven strategies and operations. + + + + +Key Aspects of the role: + +Act as a liaison between the business units and the central data organization to ensure data solutions meet business needs. +Gather and refine business requirements for data projects and communicate them effectively to the central data team. +Ensure data quality and consistency across different data sources and domains. + + + + + + + +Tech stack: + +Expert in SQL (Postgres, Cloud SQL). +Proficient in Python for data processing and analysis. +Skilled in data segmentation and analysis. +Experience with data segmentation, data analysis, and developing insightful reports. +Confident with BI Platforms like Looker or Power BI. +Experience with web analytics technologies such as Google Analytics (GA4 or UA360) / Firebase +Experience in developing and maintaining dashboards and reports. +Strong problem-solving skills and a flexible attitude to managing projects and engaging with senior stakeholders. + + + + + + + +Why Join Us? + +Exciting Projects: + +Dive into diverse datasets that reveal the journey of our consumers as they interact with our apps, websites, and smart devices. Your work will help define and enhance the relevance and timeliness of our products, services, and messaging. + + + + +Innovative Environment: + +With recent launches like Rayo in the UK, the expansion of our SMS and Competitions business, and ongoing development, there’s always something new and exciting on the horizon. + + + + +Expertise and Growth: + +Our team has access to cutting-edge data, events, and analytics, offering a golden opportunity for you to become an expert and take ownership of the platforms, products, and services you help shape. Be a Part of Something Bigger Join us and be at the heart of the digital transformation at Bauer Media Audio. Together, we’ll craft compelling stories and create impactful experiences for our audience. Don’t miss out on the chance to make a significant impact and grow with us. + + + + +We’d love to hear from you of you bring the following qualities: + +• Challenger Mindset: Thrive in a dynamic environment, always seeking out new challenges and opportunities for growth. + +• Team Player: Excellent communication skills and the ability to work collaboratively across multiple topics and stakeholders. + +• Independent Worker: Self-motivated and capable of working autonomously, driving projects from conception to completion. + + + + +Be part of an innovative team that’s transforming the digital landscape of audio media. If you're ready to take on a challenge and grow your career in a dynamic, fast-paced environment, we want to hear from you. + + + + +Join Bauer Media Audio and help us shape the future of digital audio! + +Show more ","
    + + + + + +
    +
    +

    Data Analyst

    Bauer Media Audio

    London - Hybrid (1-2 times per month)


    Sadly we are not able to sponsor candidates


    Bauer Media Audio is leading the charge in transforming our digital business, scaling innovative products and services across 9 dynamic territories. We're excited to announce the formation of our Centre of Excellence (CoE) within the Audio Data Organisation, and we are searching for passionate, driven individuals to join us. Be a key player in this pivotal transformation as we evolve our data architecture and engineering solutions, supporting high value implementations for future platforms. Our mission? To enhance user experience, engagement, competitions, and commercial ventures.


    The role:

    As a Data Analyst at Bauer Media Audio, you will play a crucial role in supporting our Marketing, Commercial, and Product teams by enabling them to use data effectively. Your primary focus will be on the Competitions, CRM, Ad, and Finance data domains, acting as the bridge between business needs and the central data organization. You will empower local teams to make actionable decisions based on data insights, ensuring data-driven strategies and operations.


    Key Aspects of the role:

    • Act as a liaison between the business units and the central data organization to ensure data solutions meet business needs.
    • Gather and refine business requirements for data projects and communicate them effectively to the central data team.
    • Ensure data quality and consistency across different data sources and domains.



    Tech stack:

    • Expert in SQL (Postgres, Cloud SQL).
    • Proficient in Python for data processing and analysis.
    • Skilled in data segmentation and analysis.
    • Experience with data segmentation, data analysis, and developing insightful reports.
    • Confident with BI Platforms like Looker or Power BI.
    • Experience with web analytics technologies such as Google Analytics (GA4 or UA360) / Firebase
    • Experience in developing and maintaining dashboards and reports.
    • Strong problem-solving skills and a flexible attitude to managing projects and engaging with senior stakeholders.



    Why Join Us?

    Exciting Projects:

    Dive into diverse datasets that reveal the journey of our consumers as they interact with our apps, websites, and smart devices. Your work will help define and enhance the relevance and timeliness of our products, services, and messaging.


    Innovative Environment:

    With recent launches like Rayo in the UK, the expansion of our SMS and Competitions business, and ongoing development, there’s always something new and exciting on the horizon.


    Expertise and Growth:

    Our team has access to cutting-edge data, events, and analytics, offering a golden opportunity for you to become an expert and take ownership of the platforms, products, and services you help shape. Be a Part of Something Bigger Join us and be at the heart of the digital transformation at Bauer Media Audio. Together, we’ll craft compelling stories and create impactful experiences for our audience. Don’t miss out on the chance to make a significant impact and grow with us.


    We’d love to hear from you of you bring the following qualities:

    • Challenger Mindset: Thrive in a dynamic environment, always seeking out new challenges and opportunities for growth.

    • Team Player: Excellent communication skills and the ability to work collaboratively across multiple topics and stakeholders.

    • Independent Worker: Self-motivated and capable of working autonomously, driving projects from conception to completion.


    Be part of an innovative team that’s transforming the digital landscape of audio media. If you're ready to take on a challenge and grow your career in a dynamic, fast-paced environment, we want to hear from you.


    Join Bauer Media Audio and help us shape the future of digital audio!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +4004800831,https://uk.linkedin.com/jobs/view/data-analyst-at-youlend-4004800831?position=17&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=hBppqY2Q5UEk7TxYJ4RyGA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,YouLend,"London, England, United Kingdom","About Us + +YouLend is the preferred global embedded financing platform for many of the world's leading e-commerce sites, tech companies and payment services providers such as Amazon, eBay, Shopify, Mollie, Dojo, Paysafe, Just Eat Takeaway and Takepayments. Our software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base. With YouLend's AI-driven credit risk assessment solutions, more merchants and SMEs than ever can receive fast, flexible and affordable funding. We operate in 9+ geographies across the UK, EU and the US. + +We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future. + +The Role: + +We are seeking a Data Analyst to join our Data Team. The person taking on this role will collaborate with stakeholders in other departments to understand and specify problems within the business. You will navigate our data, conduct transformations and provide insight and analysis. From there you will communicate results and recommendations to stakeholders. You will also create new data assets (data models, dashboards, models) to serve recurring requests for information and insight. + +Requirements + + +Quantitative educational background, particularly mathematical methods and statistics +Previous experience in an analytical role, creating impactful solutions and providing support to the business +Highly skilled in SQL and Python +Strong written & verbal communication skills, particularly in being able to translate detailed data work for non-technical stakeholders and drive towards impact for the business + + + +Essential: + + +Previous experience in the financial services / lending +Experience working with dbt, Snowflake, Metabase and Tableau + + + +Benefits + +Why join YouLend? + + +Award-Winning Workplace: YouLend has been recognised as one of the ""Best Places to Work 2024"" by the Sunday Times for being a supportive, diverse, and rewarding workplace +Award-Winning Fintech: YouLend has been recognised as a ""Top 250 Fintech Worldwide"" company by CNBC + + + +We offer comprehensive benefits package that includes: + + +Stock Options +Private Medical insurance via Vitality +EAP with Health Assured +Enhanced Maternity and Paternity Leave +Modern and sophisticated office space in Central London +Free Gym in office building in Holborn +Subsidised Lunch via Feedr +Deliveroo Allowance if working late in office +Monthly in office Masseuse +Team and Company Socials +Football Power League / Squash Club + + + +Salary Range: £55,000 - 85,000 + 20% annual bonus + +At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law. +Show more ","
    + + + + + +
    +
    + About Us

    YouLend is the preferred global embedded financing platform for many of the world's leading e-commerce sites, tech companies and payment services providers such as Amazon, eBay, Shopify, Mollie, Dojo, Paysafe, Just Eat Takeaway and Takepayments. Our software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base. With YouLend's AI-driven credit risk assessment solutions, more merchants and SMEs than ever can receive fast, flexible and affordable funding. We operate in 9+ geographies across the UK, EU and the US.

    We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future.

    The Role:

    We are seeking a Data Analyst to join our Data Team. The person taking on this role will collaborate with stakeholders in other departments to understand and specify problems within the business. You will navigate our data, conduct transformations and provide insight and analysis. From there you will communicate results and recommendations to stakeholders. You will also create new data assets (data models, dashboards, models) to serve recurring requests for information and insight.

    Requirements

    • Quantitative educational background, particularly mathematical methods and statistics
    • Previous experience in an analytical role, creating impactful solutions and providing support to the business
    • Highly skilled in SQL and Python
    • Strong written & verbal communication skills, particularly in being able to translate detailed data work for non-technical stakeholders and drive towards impact for the business


    Essential:

    • Previous experience in the financial services / lending
    • Experience working with dbt, Snowflake, Metabase and Tableau


    Benefits

    Why join YouLend?

    • Award-Winning Workplace: YouLend has been recognised as one of the ""Best Places to Work 2024"" by the Sunday Times for being a supportive, diverse, and rewarding workplace
    • Award-Winning Fintech: YouLend has been recognised as a ""Top 250 Fintech Worldwide"" company by CNBC


    We offer comprehensive benefits package that includes:

    • Stock Options
    • Private Medical insurance via Vitality
    • EAP with Health Assured
    • Enhanced Maternity and Paternity Leave
    • Modern and sophisticated office space in Central London
    • Free Gym in office building in Holborn
    • Subsidised Lunch via Feedr
    • Deliveroo Allowance if working late in office
    • Monthly in office Masseuse
    • Team and Company Socials
    • Football Power League / Squash Club


    Salary Range: £55,000 - 85,000 + 20% annual bonus

    At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +4002113841,https://uk.linkedin.com/jobs/view/junior-data-analyst-at-pinnacle-group-limited-4002113841?position=18&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=W7gQ1%2FB3lo64z6xtTVPFCw%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst,Pinnacle Group Limited,"London, England, United Kingdom","Pinnacle Group are seeking a motivated Junior Data Analyst to support our dynamic Data Analytics Team. In this role, you will collaborate closely with our Data Engineer and Data Analytics Manager to gather, clean, and analyse data. This position offers a fantastic opportunity to learn and apply various data analysis techniques and tools. + +Our Data Analytics Team operates remotely, with monthly meetings held in Holborn. The team provides valuable insights and key performance indicators (KPIs) through the use of Power BI that enhance operational understanding of business performance and inform strategic decision-making. + +This is a remote based role with monthly meetings at our Head Office in Holborn, the role is full time working Monday to Friday. + +Who We Are + +Pinnacle Group is a leading UK private sector provider of housing and neighbourhood services, managing and maintaining communities where people live, learn, work and play. + +We’re a people-first organisation with a values driven culture that has remained consistent for thirty years; living through how we treat our employees and our customers. + +Who We’re Looking For + +We’re looking for someone who, alongside the key criteria below, will sign up to our values of Trust, Respect, Involve, Challenge and Deliver Excellence and will be determined to maintain the confidence of our clients and communities. + +Key Responsibilities Will Include + + +Actively support the collection of accurate data within critical timelines +Supporting maintenance of Power BI dashboards. (No experience required) +Supporting Carbon Footprint Data Collection +Ensure that data is obtained and processed in a timely fashion +Data Analytics Admin +Providing support for dashboard users +Supporting Data Analytics Manager and other team members + + +Key Requirements + + +Intermediate knowledge of Excel +An aptitude towards data analysis and administration +Willingness to learn +Enthusiastic and self-motivated. +Good written and spoken communication skills + + +Our Offer + +The more diverse our workforce, the better we can adapt to and reflect the needs of our customers. + +We welcome applications from all backgrounds - particularly from those who represent the communities we serve including ex-armed forces personnel and their families. + +As a colleague, you will become part of an inclusive culture, where you will have the opportunity to achieve your full potential and enhance your career through learning and development. + +We offer a wide range of benefits at Pinnacle Group, dependant on your role or business area, these range from additional leave packages to pension plans and discounts at your favourite retailers. + + +Maternity/paternity packages +Flexible Working Arrangements +Life Assurance +Enhanced Pension Scheme +Additional Annual Leave +Private Medical Insurance +Cycle to Work Scheme +Employee Assistance Programme +Retail Discounts +Childcare Assistance +Season Ticket Loans +Sick Pay Schemes +Personal Development Plans +Company Car/Car Allowance +Electric Vehicle Scheme +Show more ","
    + + + + + +
    +
    + Pinnacle Group are seeking a motivated Junior Data Analyst to support our dynamic Data Analytics Team. In this role, you will collaborate closely with our Data Engineer and Data Analytics Manager to gather, clean, and analyse data. This position offers a fantastic opportunity to learn and apply various data analysis techniques and tools.

    Our Data Analytics Team operates remotely, with monthly meetings held in Holborn. The team provides valuable insights and key performance indicators (KPIs) through the use of Power BI that enhance operational understanding of business performance and inform strategic decision-making.

    This is a remote based role with monthly meetings at our Head Office in Holborn, the role is full time working Monday to Friday.

    Who We Are

    Pinnacle Group is a leading UK private sector provider of housing and neighbourhood services, managing and maintaining communities where people live, learn, work and play.

    We’re a people-first organisation with a values driven culture that has remained consistent for thirty years; living through how we treat our employees and our customers.

    Who We’re Looking For

    We’re looking for someone who, alongside the key criteria below, will sign up to our values of Trust, Respect, Involve, Challenge and Deliver Excellence and will be determined to maintain the confidence of our clients and communities.

    Key Responsibilities Will Include

    • Actively support the collection of accurate data within critical timelines
    • Supporting maintenance of Power BI dashboards. (No experience required)
    • Supporting Carbon Footprint Data Collection
    • Ensure that data is obtained and processed in a timely fashion
    • Data Analytics Admin
    • Providing support for dashboard users
    • Supporting Data Analytics Manager and other team members

    Key Requirements

    • Intermediate knowledge of Excel
    • An aptitude towards data analysis and administration
    • Willingness to learn
    • Enthusiastic and self-motivated.
    • Good written and spoken communication skills

    Our Offer

    The more diverse our workforce, the better we can adapt to and reflect the needs of our customers.

    We welcome applications from all backgrounds - particularly from those who represent the communities we serve including ex-armed forces personnel and their families.

    As a colleague, you will become part of an inclusive culture, where you will have the opportunity to achieve your full potential and enhance your career through learning and development.

    We offer a wide range of benefits at Pinnacle Group, dependant on your role or business area, these range from additional leave packages to pension plans and discounts at your favourite retailers.

    • Maternity/paternity packages
    • Flexible Working Arrangements
    • Life Assurance
    • Enhanced Pension Scheme
    • Additional Annual Leave
    • Private Medical Insurance
    • Cycle to Work Scheme
    • Employee Assistance Programme
    • Retail Discounts
    • Childcare Assistance
    • Season Ticket Loans
    • Sick Pay Schemes
    • Personal Development Plans
    • Company Car/Car Allowance
    • Electric Vehicle Scheme
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3984898020,https://uk.linkedin.com/jobs/view/data-analyst-at-janus-henderson-investors-3984898020?position=19&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=Am0eaGjthUHPLAqOIrwliw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Janus Henderson Investors,"London Area, United Kingdom","Why work for us? + +A career at Janus Henderson is more than a job, it’s about investing in a brighter future together. + +Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths, and diversifying where we have the right. + +Our Values are key to driving our success, and are at the heart of everything we do: + +Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust + +If our mission, values, and purpose align with your own, we would love to hear from you! + +Your opportunity + +To join the Investment Data Strategy & Solutions Team - tasked with leading the data analysis on the components of strategic projects associated with the investment community +The Investment Data Strategy & Solutions Team is part of the Investment Management Chief Operating Officer Office (IM COO) working within Investment Management +Identify and analyse data attributes within JHI (Janus Henderson International) systems and document the impact proposed by change through projects or initiatives +Create functional requirements documents detailing current state and proposed changes and be able to clearly articulate these to impacted teams +Liaise with Technology teams, clearly communicating the development changes required for delivery and overseeing testing and sign off with business users +Generate appropriate business requirements, documents, workflows, and process maps +Analyse the usage of core and non-core data, identify opportunities to optimise or align with strategic solutions +Work with centralised Data Management teams to ensure that efforts in the Investment Management community work in synergy with those teams +Creation of repeatable data testing frameworks to ensure requirements built to your specification meet the necessary standards +Facilitate requirements gathering meetings +Leverage emerging technology and techniques to achieve your work goals in a timely manner +Liaise with stakeholders and ensure regular communications with the business, technology, and data teams +Collaborate with Data Architects to ensure all change is clearly documented by updating of conceptual and logical models and ensuring data catalogues, definitions and lineage is all aligned +Carry out other duties as assigned + +What to expect when you join our firm + +Hybrid working and reasonable accommodations +Generous Holiday policies +Excellent Health and Wellbeing benefits including corporate membership to ClassPass +Paid volunteer time to step away from your desk and into the community +Support to grow through professional development courses, tuition/qualification reimbursement and more +All-inclusive approach to Diversity, Equity and Inclusion +Maternal/paternal leave benefits and family services +Complimentary subscription to Headspace – the mindfulness app +All employee events including networking opportunities and social activities +Lunch allowance for use within our subsidised onsite canteen + +Must have skills + +Experience of working on large scale data transformation projects in a Technical Business Analyst or Data Analyst role +Experience of working within a data team or dealing with processing large amounts of data +Experience does not need to be in the Asset Management industry +Experience writing & implementing business requirements, process maps, and user stories. +Good stakeholder management skills +Strong Microsoft Excel skills +Strong SQL & Python (Pandas) skills +Experience with process mapping software applications: Visio, Lucid Charts etc. +Strong technical aptitude +Analytical, structured, and logical in approach +Attention to detail and a delivery focused mind set +Organised & collaborative + +Nice to have skills + +Business knowledge: Asset Management, Equity, Fixed Income, OTC and Exchange Traded Derivatives, Fund Management, Security Analytics, Client Reporting, Performance Measurement and Regulatory reporting +Previous finance experience, especially middle and back-office processes +‘Big data’ analysis experience preferred +Methodologies: Agile +Machine Learning skills preferred +Systems: Charles River Development, S&P EDM (formerly CADIS), EAGLE +Scientific, Mathematical or Computer Science degree or equivalent + +Supervisory responsibilities + +No + +Potential for growth + +Mentoring +Leadership development programs +Regular training +Career development services +Continuing education courses + +You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. + +At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request we’re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com + +Show more ","
    + + + + + +
    +
    +

    Why work for us?

    A career at Janus Henderson is more than a job, it’s about investing in a brighter future together.

    Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths, and diversifying where we have the right.

    Our Values are key to driving our success, and are at the heart of everything we do:

    Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust

    If our mission, values, and purpose align with your own, we would love to hear from you!

    Your opportunity

    • To join the Investment Data Strategy & Solutions Team - tasked with leading the data analysis on the components of strategic projects associated with the investment community
    • The Investment Data Strategy & Solutions Team is part of the Investment Management Chief Operating Officer Office (IM COO) working within Investment Management
    • Identify and analyse data attributes within JHI (Janus Henderson International) systems and document the impact proposed by change through projects or initiatives
    • Create functional requirements documents detailing current state and proposed changes and be able to clearly articulate these to impacted teams
    • Liaise with Technology teams, clearly communicating the development changes required for delivery and overseeing testing and sign off with business users
    • Generate appropriate business requirements, documents, workflows, and process maps
    • Analyse the usage of core and non-core data, identify opportunities to optimise or align with strategic solutions
    • Work with centralised Data Management teams to ensure that efforts in the Investment Management community work in synergy with those teams
    • Creation of repeatable data testing frameworks to ensure requirements built to your specification meet the necessary standards
    • Facilitate requirements gathering meetings
    • Leverage emerging technology and techniques to achieve your work goals in a timely manner
    • Liaise with stakeholders and ensure regular communications with the business, technology, and data teams
    • Collaborate with Data Architects to ensure all change is clearly documented by updating of conceptual and logical models and ensuring data catalogues, definitions and lineage is all aligned
    • Carry out other duties as assigned

    What to expect when you join our firm

    • Hybrid working and reasonable accommodations
    • Generous Holiday policies
    • Excellent Health and Wellbeing benefits including corporate membership to ClassPass
    • Paid volunteer time to step away from your desk and into the community
    • Support to grow through professional development courses, tuition/qualification reimbursement and more
    • All-inclusive approach to Diversity, Equity and Inclusion
    • Maternal/paternal leave benefits and family services
    • Complimentary subscription to Headspace – the mindfulness app
    • All employee events including networking opportunities and social activities
    • Lunch allowance for use within our subsidised onsite canteen

    Must have skills

    • Experience of working on large scale data transformation projects in a Technical Business Analyst or Data Analyst role
    • Experience of working within a data team or dealing with processing large amounts of data
    • Experience does not need to be in the Asset Management industry
    • Experience writing & implementing business requirements, process maps, and user stories.
    • Good stakeholder management skills
    • Strong Microsoft Excel skills
    • Strong SQL & Python (Pandas) skills
    • Experience with process mapping software applications: Visio, Lucid Charts etc.
    • Strong technical aptitude
    • Analytical, structured, and logical in approach
    • Attention to detail and a delivery focused mind set
    • Organised & collaborative

    Nice to have skills

    • Business knowledge: Asset Management, Equity, Fixed Income, OTC and Exchange Traded Derivatives, Fund Management, Security Analytics, Client Reporting, Performance Measurement and Regulatory reporting
    • Previous finance experience, especially middle and back-office processes
    • ‘Big data’ analysis experience preferred
    • Methodologies: Agile
    • Machine Learning skills preferred
    • Systems: Charles River Development, S&P EDM (formerly CADIS), EAGLE
    • Scientific, Mathematical or Computer Science degree or equivalent

    Supervisory responsibilities

    • No

    Potential for growth

    • Mentoring
    • Leadership development programs
    • Regular training
    • Career development services
    • Continuing education courses

    You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.

    At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request we’re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com

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    ",2024-07-30,[] +3996423773,https://uk.linkedin.com/jobs/view/data-analyst-at-morgan-mckinley-3996423773?position=24&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=TwctU1lAF6lMRvRPfZq1Tg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Morgan McKinley,"London Area, United Kingdom","Data Analyst + +Mandatory secondary language (Mossi/Mooré) + +About the Company - This team focuses on safeguarding the billions of users across our clients family of apps from harmful content, malicious actors, and detrimental behaviors. By leveraging cutting-edge technology and collaborating with cross-functional teams worldwide, the team plays a crucial role in creating and upholding a secure and positive environment for the global community. In this organization, you will have the opportunity to make a meaningful impact by promoting integrity and fostering trust among users, businesses, and partners alike. + + + + + + + +About the Role - As a member of this team, your role will involve responding to real-time crises while also proactively recognizing and assessing emerging risks. You will perform risk-related investigations and consider ways to better support our communities through improved strategies and practices. Leveraging your comprehensive knowledge of our clients systems, including tools, products, policies, and processes, you will collaborate closely with cross-functional teams to implement tailored mitigation plans addressing various operational risks across platforms, domains, policies, and regions. This role places you at the center of managing crises, elections, and unconventional issues arising on our platforms, ensuring the continued safety and well-being of our user communities. + + + + +Responsibilities + + + + +Serve as an expert to interpret and enforce our clients’ terms of service. (including but not limited to Community Standards, Advertiser & Commerce Policies and Product specific guidelines) +Investigate and resolve emerging risks that are reported on our clients’ products, such as requests for account support and potentially abusive content including but not limited to graphic images, videos and writings, offensive or derogatory language, and other objectionable material across organic, ads and commerce. +Gather, analyze and utilize data from escalations and content/ad reviews to develop improvements for the overall escalation process, policies, products, and generate operational insights for the supported community +Showcase grace under pressure and ensure effective and timely collaboration with multiple internal stakeholders including but not limited to Public Policy, Core Policy, Legal, Sales, Product and Engineering +Adapt to changing requirements and prioritize escalation requests effectively +Liaise closely with our our clients’ vendor teams to ensure all operational KPIs meet and exceed targets and work collaboratively to improve processes and tools and scale solutions. +Work as part of a 24/7 global team, including the potential for on-call shifts during weekends/after-hours when needed. +Mandatory secondary language (Mossi/Mooré) requirement to use a combination of language and market specific geopolitical knowledge, deep understanding of cultural, language nuances and minority communities, to capture signals and insights to enforce and solve complex risk and operational issues within the region. + + + + +Qualifications + + + + +2 to 4 years of experience in Trust & Safety or Online Operations for a tech company, consulting, operations or similar roles +Strategic thinking with a proven track record of enhancing customer experience through innovation and continuous improvement +Strong communication skills and ability to build relationships and influence stakeholders across functional boundaries and globally +Ability to work with graphic and objectionable content coupled with a broad understanding of our clients’ Community Standards +Ability to make judgments under tight deadlines and competing priorities +Proficiency/ Basic knowledge in analytical tools (e.g., Excel, SQL) for driving analytics, reporting and operational decision-making + + + + + + + +Pay range and compensation package - Approx. £70,000 (Plus Benefits) | London (Hybrid) + +Show more ","
    + + + + + +
    +
    +

    Data Analyst

    Mandatory secondary language (Mossi/Mooré)

    About the Company - This team focuses on safeguarding the billions of users across our clients family of apps from harmful content, malicious actors, and detrimental behaviors. By leveraging cutting-edge technology and collaborating with cross-functional teams worldwide, the team plays a crucial role in creating and upholding a secure and positive environment for the global community. In this organization, you will have the opportunity to make a meaningful impact by promoting integrity and fostering trust among users, businesses, and partners alike.



    About the Role - As a member of this team, your role will involve responding to real-time crises while also proactively recognizing and assessing emerging risks. You will perform risk-related investigations and consider ways to better support our communities through improved strategies and practices. Leveraging your comprehensive knowledge of our clients systems, including tools, products, policies, and processes, you will collaborate closely with cross-functional teams to implement tailored mitigation plans addressing various operational risks across platforms, domains, policies, and regions. This role places you at the center of managing crises, elections, and unconventional issues arising on our platforms, ensuring the continued safety and well-being of our user communities.


    Responsibilities


    • Serve as an expert to interpret and enforce our clients’ terms of service. (including but not limited to Community Standards, Advertiser & Commerce Policies and Product specific guidelines)
    • Investigate and resolve emerging risks that are reported on our clients’ products, such as requests for account support and potentially abusive content including but not limited to graphic images, videos and writings, offensive or derogatory language, and other objectionable material across organic, ads and commerce.
    • Gather, analyze and utilize data from escalations and content/ad reviews to develop improvements for the overall escalation process, policies, products, and generate operational insights for the supported community
    • Showcase grace under pressure and ensure effective and timely collaboration with multiple internal stakeholders including but not limited to Public Policy, Core Policy, Legal, Sales, Product and Engineering
    • Adapt to changing requirements and prioritize escalation requests effectively
    • Liaise closely with our our clients’ vendor teams to ensure all operational KPIs meet and exceed targets and work collaboratively to improve processes and tools and scale solutions.
    • Work as part of a 24/7 global team, including the potential for on-call shifts during weekends/after-hours when needed.
    • Mandatory secondary language (Mossi/Mooré) requirement to use a combination of language and market specific geopolitical knowledge, deep understanding of cultural, language nuances and minority communities, to capture signals and insights to enforce and solve complex risk and operational issues within the region.


    Qualifications


    • 2 to 4 years of experience in Trust & Safety or Online Operations for a tech company, consulting, operations or similar roles
    • Strategic thinking with a proven track record of enhancing customer experience through innovation and continuous improvement
    • Strong communication skills and ability to build relationships and influence stakeholders across functional boundaries and globally
    • Ability to work with graphic and objectionable content coupled with a broad understanding of our clients’ Community Standards
    • Ability to make judgments under tight deadlines and competing priorities
    • Proficiency/ Basic knowledge in analytical tools (e.g., Excel, SQL) for driving analytics, reporting and operational decision-making



    Pay range and compensation package - Approx. £70,000 (Plus Benefits) | London (Hybrid)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +4000496644,https://uk.linkedin.com/jobs/view/business-data-analyst-at-data-idols-4000496644?position=25&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=y%2F1dezTVgfDKxPaYk5%2BSug%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst,Data Idols,"London, England, United Kingdom","Business Data Analyst + + + +Salary: £450 - £550 per day Outside IR35 + + + +Location: Remote + + + +Data Idols is working with a global FMCG who are looking for a Business Analyst to join on a contract basis. Your role will involve collaborating with stakeholders across the company to gather business needs, define data domains, and streamline operational processes. + + + + + + +The Opportunity + + + +In this exciting role, you will be interviewing different stakeholders and managers across the company to help understand what data requirements are needed. + +As a Business Data Analyst, you will be facilitating workshops with various departments to outline the different data fields and understand the framwork in order to replay this back to the development teams. + + + + + + + +Skills and Experience + + +Experience working within a CPG/FMCG +Experience working on data projects +Good stakeholder management + +If you would like to be considered for the role and feel you would be an ideal fit with our team then please send your CV to us by clicking on the Apply button below! + +Show more ","
    + + + + + +
    +
    + Business Data Analyst



    Salary: £450 - £550 per day Outside IR35



    Location: Remote

    Data Idols is working with a global FMCG who are looking for a Business Analyst to join on a contract basis. Your role will involve collaborating with stakeholders across the company to gather business needs, define data domains, and streamline operational processes.




    The Opportunity

    In this exciting role, you will be interviewing different stakeholders and managers across the company to help understand what data requirements are needed.

    As a Business Data Analyst, you will be facilitating workshops with various departments to outline the different data fields and understand the framwork in order to replay this back to the development teams.





    Skills and Experience

    • Experience working within a CPG/FMCG
    • Experience working on data projects
    • Good stakeholder management

    If you would like to be considered for the role and feel you would be an ideal fit with our team then please send your CV to us by clicking on the Apply button below!

    +
    + + + + + + + + + + + + + + + + + + +
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    ",2024-08-15,[] +4002781188,https://uk.linkedin.com/jobs/view/data-analyst-at-hays-4002781188?position=26&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=gsFoK6a2vG8m5J4RuSfiMg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Hays,"London Area, United Kingdom","JOB TITLE –Data Analyst - Marketing + +Location - London + + + + +Your New Company + +With over 244 offices in 33 countries across the globe, Hays are the largest specialist recruitment agency. Hays is recognised in the recruitment sector for its industry leading training & development opportunities. + + + + +Role Objectives + +The Senior Data Analyst works within the UK&I Marketing Department to develop and deliver reporting and insight analysis to all business stakeholders. + + + + + + + +Responsibilities + +Creating dashboards and reports using Excel and Power BI +Support the monitoring of marketing campaign performance across the department +Maintain and deliver monthly KPI and ROI reporting for the UK&I management board and to support the marketing planning team at regional ops meetings +Creating and maintaining documentation for processes and best practices +Improve access to data sets and bring together to automate use where possible. + + + + + + + +Skills and Competencies + +Good understanding of Marketing Principles +Work autonomously, but collaboratively, demonstrating ownership in ALL activities +Demonstrates behaviour which supports the Hays brand values: Expert; Ambitious; Inquisitive; Passionate about People +Capable of interpreting data in order to make sound and timely business decisions +MS Word, Excel and PowerPoint skills essential +Excellent verbal and written communication skills +Ability to work effectively under pressure and to strict deadlines + + + + +Essential + +Proven ability to design visually impactful dashboards and tell a meaningful story +Experience with complex DAX queries +Using Power Query to load, transform, and curate the data +Strong SQL skills for querying and creation of views/tables, functions, and stored procedures +Logical mindset and strong attention to details +Project management skills + + + + +Desirable: + +Proficiency in Excel (pivot tables, formulas, shortcuts etc) +Experience with SFMC automations +Knowledge of Python +Experience with Microsoft Azure platform & service (eg DataFactory, Fabric) +Proficiency in PowerPoint +Experience with Google Analytics/Looker Studio + + + + +What you will get in return + +As a global FTSE 250 business, Hays can offer you all the tools for a successful career. This is the ideal opportunity for someone with minimal experience looking to build a career in Bids and Contracts. You’ll join the team with clear objectives set out for career progression plus all the training and support you could ask for. Hays works on a flexible hybrid basis where you’ll be able to work 50% from home and 50% from our central offices. You’ll also have access to all our wide range of benefits including cycle to work, private healthcare options, buy & sell leave, shopping discounts, dedicated services for mental health support & wellbeing plus a monthly wellbeing hour to use at your own discretion plus our paid volunteering day for all employees under our Working for Your Tomorrow InitiativCulture built on rewarding success and the opportunity to influence your earning potential. + + + + +Best technology in the industry and a renowned training programme to support success and drive rapid career progression and ongoing development +Flexible hybrid working patterns +Opportunity to take your career globally +Incentives and rewards to recognise performance both locally, regionally and nationally +Broad range of employee wellbeing initiatives and benefits +Referral bonus scheme +Community of internal support networks. +Paid volunteering days for all employees under our Working for Your Tomorrow Initiative. + + + + +Life at Hays presents the opportunity for growth, varied career paths, exciting challenges and a culture of inclusion that celebrates diversity. As a committed Disability Confident employer, if you’re thinking of a new tomorrow for your career, whatever your background, let’s work together to create it! + + + + +At Hays, we share a passion for creating a culture of opportunities for our people to flourish and succeed, whatever your background. We know that diversity of perspective and an inclusive approach, which encourages those experiences and views to be heard, is great for business and therefore your career. + +Show more ","
    + + + + + +
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    +

    JOB TITLE –Data Analyst - Marketing

    Location - London


    Your New Company

    With over 244 offices in 33 countries across the globe, Hays are the largest specialist recruitment agency. Hays is recognised in the recruitment sector for its industry leading training & development opportunities.


    Role Objectives

    The Senior Data Analyst works within the UK&I Marketing Department to develop and deliver reporting and insight analysis to all business stakeholders.



    Responsibilities

    • Creating dashboards and reports using Excel and Power BI
    • Support the monitoring of marketing campaign performance across the department
    • Maintain and deliver monthly KPI and ROI reporting for the UK&I management board and to support the marketing planning team at regional ops meetings
    • Creating and maintaining documentation for processes and best practices
    • Improve access to data sets and bring together to automate use where possible.



    Skills and Competencies

    • Good understanding of Marketing Principles
    • Work autonomously, but collaboratively, demonstrating ownership in ALL activities
    • Demonstrates behaviour which supports the Hays brand values: Expert; Ambitious; Inquisitive; Passionate about People
    • Capable of interpreting data in order to make sound and timely business decisions
    • MS Word, Excel and PowerPoint skills essential
    • Excellent verbal and written communication skills
    • Ability to work effectively under pressure and to strict deadlines


    Essential

    • Proven ability to design visually impactful dashboards and tell a meaningful story
    • Experience with complex DAX queries
    • Using Power Query to load, transform, and curate the data
    • Strong SQL skills for querying and creation of views/tables, functions, and stored procedures
    • Logical mindset and strong attention to details
    • Project management skills


    Desirable:

    • Proficiency in Excel (pivot tables, formulas, shortcuts etc)
    • Experience with SFMC automations
    • Knowledge of Python
    • Experience with Microsoft Azure platform & service (eg DataFactory, Fabric)
    • Proficiency in PowerPoint
    • Experience with Google Analytics/Looker Studio


    What you will get in return

    As a global FTSE 250 business, Hays can offer you all the tools for a successful career. This is the ideal opportunity for someone with minimal experience looking to build a career in Bids and Contracts. You’ll join the team with clear objectives set out for career progression plus all the training and support you could ask for. Hays works on a flexible hybrid basis where you’ll be able to work 50% from home and 50% from our central offices. You’ll also have access to all our wide range of benefits including cycle to work, private healthcare options, buy & sell leave, shopping discounts, dedicated services for mental health support & wellbeing plus a monthly wellbeing hour to use at your own discretion plus our paid volunteering day for all employees under our Working for Your Tomorrow InitiativCulture built on rewarding success and the opportunity to influence your earning potential.


    • Best technology in the industry and a renowned training programme to support success and drive rapid career progression and ongoing development
    • Flexible hybrid working patterns
    • Opportunity to take your career globally
    • Incentives and rewards to recognise performance both locally, regionally and nationally
    • Broad range of employee wellbeing initiatives and benefits
    • Referral bonus scheme
    • Community of internal support networks.
    • Paid volunteering days for all employees under our Working for Your Tomorrow Initiative.


    Life at Hays presents the opportunity for growth, varied career paths, exciting challenges and a culture of inclusion that celebrates diversity. As a committed Disability Confident employer, if you’re thinking of a new tomorrow for your career, whatever your background, let’s work together to create it!


    At Hays, we share a passion for creating a culture of opportunities for our people to flourish and succeed, whatever your background. We know that diversity of perspective and an inclusive approach, which encourages those experiences and views to be heard, is great for business and therefore your career.

    +
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    ",2024-08-16,[] +3996237424,https://uk.linkedin.com/jobs/view/marketing-data-analyst-at-adecco-3996237424?position=27&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=JMIZyTTZmW36MyG2Brt%2Bdg%3D%3D&trk=public_jobs_jserp-result_search-card,Marketing Data Analyst,Adecco,"London Area, United Kingdom","Job Title: Marketing Data Scientist + + + + +Location: London 🌆 + + + + +Remuneration: Hourly rate £35.58 💸 + + + + +Contract Details: Temporary, until 28th February 2025 ⌛ + + + + +Working Pattern: Full Time (Hybrid Model) ⏰ + + + + +Are you a talented Marketing Data Scientist looking for an exciting opportunity in the thriving tech industry? Our client, a leading organisation in the tech sector, is seeking a motivated and skilled individual to join their EMEA Marketing team as a Marketing Data Scientist. 📈 + + + + +Responsibilities: + +Manage the workload of a large project or multiple projects to maximise impact and refine timelines in collaboration with stakeholders. +Exercise sound judgement in weighing input against anticipated impact and adapt to changes as needed. +Identify issues for defined problems, navigate unexpected complexity, and propose analytical and technical solutions. +Effectively frame and escalate issues to be addressed by managers and stakeholders. +Serve as a trusted partner within the team and with cross-functional teams, providing guidance and managing relationships with partners, agencies, or TVCs. +Contribute to shared team responsibilities and the broader analyst community, such as conducting interviews or presenting analysis findings. +Utilise expertise in data extraction and manipulation, dashboarding/visualisation, statistical analysis, predictive modelling, and research techniques to drive insights and solutions. +Develop strategies to drive incremental growth by addressing complex business challenges and collaborating with stakeholders across various functions. +Conduct market research and data analysis to influence business decisions, optimise performance, and deliver best-in-class execution. +Champion an inclusive culture, creating a supportive environment, role-modelling inclusive behaviour, and driving diversity change initiatives. +Provide ad-hoc research and data analysis support to senior leaders for specific data requests. + + + + +Skills/Experience/Education: + +Strong knowledge of business operations and driving efficiency and effectiveness within organisations. +Excellent consultative skills to understand stakeholder needs and provide tailored analysis and recommendations. +Proficiency in dashboarding to link, report, and analyse metrics based on available data. +Ability to convert real-world business problems into trackable metrics and generate meaningful insights from data analysis. +Familiarity with experimental design principles and best practises. +Good understanding of the tech industry landscape, including key players and technology trends. +Experience in marketing analysis and applying analytical methods to generate actionable insights. +Project management skills and ability to plan and execute projects effectively. +Knowledge of statistical analysis methods to evaluate data adequacy and draw inferences. +Strong storytelling and presentation skills to communicate data-driven insights in an engaging manner. +Technical acumen and eagerness to learn and apply statistical and mathematical concepts. + + + + +Our client offers excellent perks, including hybrid working arrangements, pension contribution matching, employee discounts, and comprehensive well-being support. 🌟 + + + + +If you are passionate about leveraging data to drive strategies and make an impact in the tech industry, we would love to hear from you. Join our client's innovative team in London, and be a part of shaping the future of EMEA Marketing. Apply now! ✨ + + + + +Please note that only shortlisted candidates will be contacted.💼 + + + + +Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. + +Show more ","
    + + + + + +
    +
    +

    Job Title: Marketing Data Scientist


    Location: London 🌆


    Remuneration: Hourly rate £35.58 💸


    Contract Details: Temporary, until 28th February 2025 ⌛


    Working Pattern: Full Time (Hybrid Model) ⏰


    Are you a talented Marketing Data Scientist looking for an exciting opportunity in the thriving tech industry? Our client, a leading organisation in the tech sector, is seeking a motivated and skilled individual to join their EMEA Marketing team as a Marketing Data Scientist. 📈


    Responsibilities:

    • Manage the workload of a large project or multiple projects to maximise impact and refine timelines in collaboration with stakeholders.
    • Exercise sound judgement in weighing input against anticipated impact and adapt to changes as needed.
    • Identify issues for defined problems, navigate unexpected complexity, and propose analytical and technical solutions.
    • Effectively frame and escalate issues to be addressed by managers and stakeholders.
    • Serve as a trusted partner within the team and with cross-functional teams, providing guidance and managing relationships with partners, agencies, or TVCs.
    • Contribute to shared team responsibilities and the broader analyst community, such as conducting interviews or presenting analysis findings.
    • Utilise expertise in data extraction and manipulation, dashboarding/visualisation, statistical analysis, predictive modelling, and research techniques to drive insights and solutions.
    • Develop strategies to drive incremental growth by addressing complex business challenges and collaborating with stakeholders across various functions.
    • Conduct market research and data analysis to influence business decisions, optimise performance, and deliver best-in-class execution.
    • Champion an inclusive culture, creating a supportive environment, role-modelling inclusive behaviour, and driving diversity change initiatives.
    • Provide ad-hoc research and data analysis support to senior leaders for specific data requests.


    Skills/Experience/Education:

    • Strong knowledge of business operations and driving efficiency and effectiveness within organisations.
    • Excellent consultative skills to understand stakeholder needs and provide tailored analysis and recommendations.
    • Proficiency in dashboarding to link, report, and analyse metrics based on available data.
    • Ability to convert real-world business problems into trackable metrics and generate meaningful insights from data analysis.
    • Familiarity with experimental design principles and best practises.
    • Good understanding of the tech industry landscape, including key players and technology trends.
    • Experience in marketing analysis and applying analytical methods to generate actionable insights.
    • Project management skills and ability to plan and execute projects effectively.
    • Knowledge of statistical analysis methods to evaluate data adequacy and draw inferences.
    • Strong storytelling and presentation skills to communicate data-driven insights in an engaging manner.
    • Technical acumen and eagerness to learn and apply statistical and mathematical concepts.


    Our client offers excellent perks, including hybrid working arrangements, pension contribution matching, employee discounts, and comprehensive well-being support. 🌟


    If you are passionate about leveraging data to drive strategies and make an impact in the tech industry, we would love to hear from you. Join our client's innovative team in London, and be a part of shaping the future of EMEA Marketing. Apply now! ✨


    Please note that only shortlisted candidates will be contacted.💼


    Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3973610555,https://uk.linkedin.com/jobs/view/data-analyst-at-ben-3973610555?position=28&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=xOWxj9282hmi2EWPJYEADw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Ben,"Greater London, England, United Kingdom","Our Mission + +We're not your average benefits platform; we're the unordinary force that uplifts people's lives. Our technology is the link that connects the entire benefits ecosystem, creating better outcomes for employers, employees, brokers, and providers. + +Our mission is clear: we're here to create a world where everything operates at its very best, ensuring that every employee receives the support they need to live life to the fullest, both at work and beyond. + +Your Mission + +As a Data Analyst at Ben, you will be joining at a crucial time in the evolution of our product-engineering organisation as we build out the foundational pillars of our data function. + +This is an incredible opportunity to join a business where we are looking to build out our analytical function from scratch. You will be owning a number of tools and work closely with the product and business teams to define KPIs, perform exploratory analysis and set up reporting that will drive the business towards being truly data-driven. + +Things you will be working on… + + +Be the first port of call for the business in triaging data issues, determining the root cause and resolving where appropriate +Work collaboratively with our Marketplace, Product, Support, Operations, Customer Success and other engineering teams to resolve issues in a timely fashion +Maintain our service levels with customers by ensuring queries are investigated and resolved within SLA timeframes +Support the business in making data driven decisions and carrying out repeatable analysis +Develop reporting and dashboards to enable the business to track trends and perform business-critical analysis at scale +Establish processes to root cause and solve open-ended problems +Be an expert on the product - understand and communicate the underlying concepts within the product, be the point of contact when supporting other business functions in their understanding of the products dataflows + + +You’ll Love This Role If You Have + + +SQL expertise: you can debug complex queries to optimise for both quality and performance +The ability to identify the root cause of data issues and working with engineering teams to resolve them in a timely manner +Experience with a BI/visualisation tools such as Looker, Metabase, Lightdash. You know how to design and build dashboards to enable repeatable analysis +An analytical mindset: you know how to turn raw data into actionable insights. You have experience defining KPIs and building the reporting to measure them +Familiarity with dbt is a nice to have + + +and you... + + +are a self-starter who thrives on autonomy, enjoys a rapid pace and wants to make a difference +have a continuous improvement mindset. You appreciate that there are always ways to do things better and ensure your team does too +have a preference to action-oriented behaviour with just enough analysis, as compared to too much time spent doing analysis with no action +have the ability to make decisions balancing different factors such as business requirements, technical integrity, overall priorities etc. +appreciate the opportunities and challenges of a distributed work environment +are solution-focused with a pragmatic approach to problem-solving + + +Diversity and Culture at Ben + +We are organically growing a brilliantly diverse, inclusive and respectful bunch of people we are extremely proud of. This should go without saying but all applications are very much welcome. If you need any adjustments to support you with your application, just let us know by emailing jobs@thanksben.com. + +Our BENefits + +(... It's all in the name! 😉) + +💰 Competitive base salary and equity, so you own what you build + +💳 £100 monthly personal Ben Balance: for whatever works for you, whether that's Netflix, Spotify, or a really expensive cup of coffee! This allowance will increase by £50 for each year of service until you reach £250 + +🔋 £1000 annual Learning & Personal Development Ben Balance: plus 3 days paid study leave a year to support you with your professional development + +👩🏽‍💻 £500 work from home set up allowance, which you can put towards your home office + +🍔 Weekly lunch provided in office so you can spend quality time with the team over some tasty food! + +🏖 28 days of holidays a year (plus bank holidays, which you have the option of swapping for days of celebration that are significant to you) + +🌴 ...and an option to buy or sell 5 days per year. Also, your holiday entitlement will increase to 30 days at your 3rd year of service! + +🍼 Enhanced parental leave and workplace nursery scheme to support with the cost of childcare in a nursery setting + +🧠 Comprehensive and tailored mental health support through a leading provider + +💪 Access to a Gympass membership! + +❤️ Comprehensive Private Medical Insurance + +🍿 Team activities: we have quarterly team social budgets to support spending time together and we frequently organise company wide events + +📅 Hybrid Working - we work 3 days in the office, 2 days remotely +Show more ","
    + + + + + +
    +
    + Our Mission

    We're not your average benefits platform; we're the unordinary force that uplifts people's lives. Our technology is the link that connects the entire benefits ecosystem, creating better outcomes for employers, employees, brokers, and providers.

    Our mission is clear: we're here to create a world where everything operates at its very best, ensuring that every employee receives the support they need to live life to the fullest, both at work and beyond.

    Your Mission

    As a Data Analyst at Ben, you will be joining at a crucial time in the evolution of our product-engineering organisation as we build out the foundational pillars of our data function.

    This is an incredible opportunity to join a business where we are looking to build out our analytical function from scratch. You will be owning a number of tools and work closely with the product and business teams to define KPIs, perform exploratory analysis and set up reporting that will drive the business towards being truly data-driven.

    Things you will be working on…

    • Be the first port of call for the business in triaging data issues, determining the root cause and resolving where appropriate
    • Work collaboratively with our Marketplace, Product, Support, Operations, Customer Success and other engineering teams to resolve issues in a timely fashion
    • Maintain our service levels with customers by ensuring queries are investigated and resolved within SLA timeframes
    • Support the business in making data driven decisions and carrying out repeatable analysis
    • Develop reporting and dashboards to enable the business to track trends and perform business-critical analysis at scale
    • Establish processes to root cause and solve open-ended problems
    • Be an expert on the product - understand and communicate the underlying concepts within the product, be the point of contact when supporting other business functions in their understanding of the products dataflows

    You’ll Love This Role If You Have

    • SQL expertise: you can debug complex queries to optimise for both quality and performance
    • The ability to identify the root cause of data issues and working with engineering teams to resolve them in a timely manner
    • Experience with a BI/visualisation tools such as Looker, Metabase, Lightdash. You know how to design and build dashboards to enable repeatable analysis
    • An analytical mindset: you know how to turn raw data into actionable insights. You have experience defining KPIs and building the reporting to measure them
    • Familiarity with dbt is a nice to have

    and you...

    • are a self-starter who thrives on autonomy, enjoys a rapid pace and wants to make a difference
    • have a continuous improvement mindset. You appreciate that there are always ways to do things better and ensure your team does too
    • have a preference to action-oriented behaviour with just enough analysis, as compared to too much time spent doing analysis with no action
    • have the ability to make decisions balancing different factors such as business requirements, technical integrity, overall priorities etc.
    • appreciate the opportunities and challenges of a distributed work environment
    • are solution-focused with a pragmatic approach to problem-solving

    Diversity and Culture at Ben

    We are organically growing a brilliantly diverse, inclusive and respectful bunch of people we are extremely proud of. This should go without saying but all applications are very much welcome. If you need any adjustments to support you with your application, just let us know by emailing jobs@thanksben.com.

    Our BENefits

    (... It's all in the name! 😉)

    💰 Competitive base salary and equity, so you own what you build

    💳 £100 monthly personal Ben Balance: for whatever works for you, whether that's Netflix, Spotify, or a really expensive cup of coffee! This allowance will increase by £50 for each year of service until you reach £250

    🔋 £1000 annual Learning & Personal Development Ben Balance: plus 3 days paid study leave a year to support you with your professional development

    👩🏽‍💻 £500 work from home set up allowance, which you can put towards your home office

    🍔 Weekly lunch provided in office so you can spend quality time with the team over some tasty food!

    🏖 28 days of holidays a year (plus bank holidays, which you have the option of swapping for days of celebration that are significant to you)

    🌴 ...and an option to buy or sell 5 days per year. Also, your holiday entitlement will increase to 30 days at your 3rd year of service!

    🍼 Enhanced parental leave and workplace nursery scheme to support with the cost of childcare in a nursery setting

    🧠 Comprehensive and tailored mental health support through a leading provider

    💪 Access to a Gympass membership!

    ❤️ Comprehensive Private Medical Insurance

    🍿 Team activities: we have quarterly team social budgets to support spending time together and we frequently organise company wide events

    📅 Hybrid Working - we work 3 days in the office, 2 days remotely +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-24,[] +3980766744,https://uk.linkedin.com/jobs/view/data-analyst-finance-uk-at-revolut-3980766744?position=29&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=Cdm9Cf%2BWaBRHh6HqWJwIjw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (Finance) - UK,Revolut,"London, England, United Kingdom","About Revolut + +People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 45+ million customers get more from their money every day. + +As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution. + +About The Role + +We approach Data Science at Revolut the same way that we approach everything else. We take complex problems, and create extraordinary solutions that our customers love. Our Data Analysts aren't kept in the background, doomed to never see the impact of their work. They're some of our best and brightest problem solvers, deployed to the front-lines to deliver rock star solutions 🤘 + +We're looking for a superstar Data Analyst with a strong understanding of finance who doesn't believe there's a data task that can be too hard 🦬 + +From digging into our complex databases, looking for the root cause of a problem to designing their own solutions and writing their own code to implement them. In this process, they never stop learning, picking up new skills, and delivering value ✨ + +Up for the challenge? Get in touch 🚀 + +What You’ll Be Doing + + +Understanding our business and its processes through our data +Applying this understanding and knowledge of data to help product and services teams +Designing key metrics to measure different aspects of the business +Creating and maintaining new aggregated views and tables to simplify data querying +Maintaining and creating new dashboards to track metrics and visualise insights +Promoting data literacy across the company, organising and holding workshops + + +What You'll Need + + +Previous experience in an analytical role, creating impactful solutions +Excellent background / education in a quantitative discipline +Great skills with Python, SQL, or other programming languages +Evidence of exceptional mathematical and statistics knowledge +Previous experience in the financial/banking industry + + +Nice to have + + +Advanced degree in a core STEM subject +Experience with additional programming languages (such as: Java, Scala, C++…) +School/University Olympic medal competitions in: Physics, Maths, Economics or Programming +Experience in Accounting + + +Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team. + +Refer to our Data Privacy Statement for Candidates for details on our data handling practices during your application. +Show more ","
    + + + + + +
    +
    + About Revolut

    People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 45+ million customers get more from their money every day.

    As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.

    About The Role

    We approach Data Science at Revolut the same way that we approach everything else. We take complex problems, and create extraordinary solutions that our customers love. Our Data Analysts aren't kept in the background, doomed to never see the impact of their work. They're some of our best and brightest problem solvers, deployed to the front-lines to deliver rock star solutions 🤘

    We're looking for a superstar Data Analyst with a strong understanding of finance who doesn't believe there's a data task that can be too hard 🦬

    From digging into our complex databases, looking for the root cause of a problem to designing their own solutions and writing their own code to implement them. In this process, they never stop learning, picking up new skills, and delivering value ✨

    Up for the challenge? Get in touch 🚀

    What You’ll Be Doing

    • Understanding our business and its processes through our data
    • Applying this understanding and knowledge of data to help product and services teams
    • Designing key metrics to measure different aspects of the business
    • Creating and maintaining new aggregated views and tables to simplify data querying
    • Maintaining and creating new dashboards to track metrics and visualise insights
    • Promoting data literacy across the company, organising and holding workshops

    What You'll Need

    • Previous experience in an analytical role, creating impactful solutions
    • Excellent background / education in a quantitative discipline
    • Great skills with Python, SQL, or other programming languages
    • Evidence of exceptional mathematical and statistics knowledge
    • Previous experience in the financial/banking industry

    Nice to have

    • Advanced degree in a core STEM subject
    • Experience with additional programming languages (such as: Java, Scala, C++…)
    • School/University Olympic medal competitions in: Physics, Maths, Economics or Programming
    • Experience in Accounting

    Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.

    Refer to our <a class=""postings-link"" href=""https://www.revolut.com/legal/data-privacy-for-candidates"">Data Privacy Statement for Candidates for details on our data handling practices during your application.     +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +4004218884,https://uk.linkedin.com/jobs/view/data-analyst-at-enna-4004218884?position=33&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=HPaAkFp%2FCtZF%2FXUXyJNNOQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,enna,"London, England, United Kingdom","Enna is a specialised recruitment agency for neurodivergent job seekers - we support candidates who identify as neurodivergent - autistic, ADHD, dyslexia, dyspraxia etc. + +About The Role + +OmniGov’s Communication’s Intelligence team are searching for a Data Analyst to join the team and help provide best in class data analysis and marketing effectiveness solutions for Omnigov, private sector clients and media agencies within OMG. Uniquely in OmniGOV, the strategic analytics team within the wider communications intelligence group runs consultancy and MMM projects with commercial clients, as well as delivering cross-government campaign analysis to OmniGOV and HM Government. + +As a Data Analyst, you will play a crucial role in our ongoing quest for understanding and insights. You’ll contribute to building and maintaining our essential Government benchmark database and knowledge system. Your responsibilities will include sophisticated data analysis, methodology evolution, and generating reports for key categories and brands. Additionally, you’ll create visualisations and automate processes related to Government files and databases. + +The role is varied, interesting and provides excellent opportunities to work with a wide range of people, techniques and solutions, within OmniGOV and the wider agency group. + +The Communications Intelligence team are a team of 16 people based in Omnicom’s impressive offices in Bankside. We are passionate about data, all types of analysis but especially strategic analysis and leading the provision of marketing effectiveness solutions for all our stakeholders. + +Role Requirements + +Government Benchmark Database Maintenance: + + +Collaborate with a Manager to add new data to the Government benchmark databases managed by Omnigov and the Benchmarking team. +Quality checks and data loading using tools like R, Python, and Power BI. + + +Support the wider Communications Intelligence Team + + +Support and mentor Junior Analysts to ensure high-quality work and a commitment to growth and development. +Engage in the wider Communications Intelligence Strategic goals to drive higher quality work for our clients. +Feed into our wider vision and strategy as a team + + +Agency Relationships + + +Support and coach Junior Data Analysts +Cultivate day-to-day relationships with users of the knowledge system within agencies and OmniGOV’s Government databases +Provide excellent service levels to agencies working with analysts and managers + + +Client Relationships + + +Support the team in consultancy engagements with Government clients +Update and build comprehensive datasets for agency pitch analysis from the knowledge database content +Deliver high-quality visualisations and effectively communicate data insights to agency clients +Use advanced analytical approaches to analyse data to establish norms and averages, interpreting findings + + +Skills Required + + +Experience in a Marketing Analytics role (MMM or similar) +Understanding of the role of media +Experience in developing analytic models +Coding proficiency (R or Python preference) +Expertise in Excel +Interested in Government marketing and media +Strong attention to detail +Good written and communication skills +Highly organised & Strong critical thinking +Willingness to Learn, energetic, determined, proactive and curious + + +Nice To Haves + + +English and maths GCSEs at grade C (4) or above or equivalents. +Degree in an analytical subject 2:1 Or higher + + +About The Agency + +OmniGov is a specialist division created to handle UK Government media buying, the largest advertiser in the UK, and a top 10 UK agency in its own right, handling over 80 very different government departments. We were originally awarded the four year contract in 2018 and late 2021 we became the first agency ever to retain the business for the next 4 years. + +Our ambition is to be the best Government Media Buying service in the world, intelligently using media to deliver public services. In doing so we want to lead the industry in the UK and be one of the best places to work and learn in the media sector. In fact, we have been Campaign’s Agency Team of the Year for the last 3 years. + +Our team of c.150 people are passionate about delivering better outcomes for the public sector. Why? This is taxpayers’ money we are dealing with, and the outcomes of these campaigns really do matter. Effectiveness is the driving factor. You will work on campaigns that can represent the most profoundly challenging issues in our society aiming to help, improve or save lives. At other times they simply aim to inform the public. But at all times they matter. To people across the UK and beyond, to us, our families and our own communities. + +We are organised across different client hubs themed by government priority nationally, regionally and internationally. + +Our core teams and expertise encompass Account Management, Effectiveness & Evaluation, Implementation Planning and Media Activation across all channels. We also have specialist services such as Strategic partnerships, Innovation, Behavioural Planning, Communications Intelligence including Data Engineering, Reporting/Visualisation, Data Science, Strategic Analytics, Brand Safety and Data Ethics. + +OmniGOV draws from the best of Omnicom Group UK and sits as a unit within MG OMD, Campaigns Media Agency of the year 2021 and 2024, the largest agency within OMG UK and the most awarded media agency ever for IPA Effectiveness. + +Working for OmniGOV is different to other jobs in the media agency sector. Working with government can be challenging, dynamic and demands the highest standards, but above all it is important work and rewarding. We believe there is no better place to learn and grow in the industry. +Show more ","
    + + + + + +
    +
    + Enna is a specialised recruitment agency for neurodivergent job seekers - we support candidates who identify as neurodivergent - autistic, ADHD, dyslexia, dyspraxia etc.

    About The Role

    OmniGov’s Communication’s Intelligence team are searching for a Data Analyst to join the team and help provide best in class data analysis and marketing effectiveness solutions for Omnigov, private sector clients and media agencies within OMG. Uniquely in OmniGOV, the strategic analytics team within the wider communications intelligence group runs consultancy and MMM projects with commercial clients, as well as delivering cross-government campaign analysis to OmniGOV and HM Government.

    As a Data Analyst, you will play a crucial role in our ongoing quest for understanding and insights. You’ll contribute to building and maintaining our essential Government benchmark database and knowledge system. Your responsibilities will include sophisticated data analysis, methodology evolution, and generating reports for key categories and brands. Additionally, you’ll create visualisations and automate processes related to Government files and databases.

    The role is varied, interesting and provides excellent opportunities to work with a wide range of people, techniques and solutions, within OmniGOV and the wider agency group.

    The Communications Intelligence team are a team of 16 people based in Omnicom’s impressive offices in Bankside. We are passionate about data, all types of analysis but especially strategic analysis and leading the provision of marketing effectiveness solutions for all our stakeholders.

    Role Requirements

    Government Benchmark Database Maintenance:

    • Collaborate with a Manager to add new data to the Government benchmark databases managed by Omnigov and the Benchmarking team.
    • Quality checks and data loading using tools like R, Python, and Power BI.

    Support the wider Communications Intelligence Team

    • Support and mentor Junior Analysts to ensure high-quality work and a commitment to growth and development.
    • Engage in the wider Communications Intelligence Strategic goals to drive higher quality work for our clients.
    • Feed into our wider vision and strategy as a team

    Agency Relationships

    • Support and coach Junior Data Analysts
    • Cultivate day-to-day relationships with users of the knowledge system within agencies and OmniGOV’s Government databases
    • Provide excellent service levels to agencies working with analysts and managers

    Client Relationships

    • Support the team in consultancy engagements with Government clients
    • Update and build comprehensive datasets for agency pitch analysis from the knowledge database content
    • Deliver high-quality visualisations and effectively communicate data insights to agency clients
    • Use advanced analytical approaches to analyse data to establish norms and averages, interpreting findings

    Skills Required

    • Experience in a Marketing Analytics role (MMM or similar)
    • Understanding of the role of media
    • Experience in developing analytic models
    • Coding proficiency (R or Python preference)
    • Expertise in Excel
    • Interested in Government marketing and media
    • Strong attention to detail
    • Good written and communication skills
    • Highly organised & Strong critical thinking
    • Willingness to Learn, energetic, determined, proactive and curious

    Nice To Haves

    • English and maths GCSEs at grade C (4) or above or equivalents.
    • Degree in an analytical subject 2:1 Or higher

    About The Agency

    OmniGov is a specialist division created to handle UK Government media buying, the largest advertiser in the UK, and a top 10 UK agency in its own right, handling over 80 very different government departments. We were originally awarded the four year contract in 2018 and late 2021 we became the first agency ever to retain the business for the next 4 years.

    Our ambition is to be the best Government Media Buying service in the world, intelligently using media to deliver public services. In doing so we want to lead the industry in the UK and be one of the best places to work and learn in the media sector. In fact, we have been Campaign’s Agency Team of the Year for the last 3 years.

    Our team of c.150 people are passionate about delivering better outcomes for the public sector. Why? This is taxpayers’ money we are dealing with, and the outcomes of these campaigns really do matter. Effectiveness is the driving factor. You will work on campaigns that can represent the most profoundly challenging issues in our society aiming to help, improve or save lives. At other times they simply aim to inform the public. But at all times they matter. To people across the UK and beyond, to us, our families and our own communities.

    We are organised across different client hubs themed by government priority nationally, regionally and internationally.

    Our core teams and expertise encompass Account Management, Effectiveness & Evaluation, Implementation Planning and Media Activation across all channels. We also have specialist services such as Strategic partnerships, Innovation, Behavioural Planning, Communications Intelligence including Data Engineering, Reporting/Visualisation, Data Science, Strategic Analytics, Brand Safety and Data Ethics.

    OmniGOV draws from the best of Omnicom Group UK and sits as a unit within MG OMD, Campaigns Media Agency of the year 2021 and 2024, the largest agency within OMG UK and the most awarded media agency ever for IPA Effectiveness.

    Working for OmniGOV is different to other jobs in the media agency sector. Working with government can be challenging, dynamic and demands the highest standards, but above all it is important work and rewarding. We believe there is no better place to learn and grow in the industry. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4004698033,https://uk.linkedin.com/jobs/view/data-analyst-at-the-behavioural-insights-team-4004698033?position=34&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=%2BBA4%2Fy%2FJhTOAqpQZ97PDMQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,The Behavioural Insights Team,"London Area, United Kingdom","Are you seeking a new challenge in a dynamic and impactful organization? The Behavioural Insights Team (BIT) is looking for a passionate individual to support data-driven business decisions and operational excellence. This role involves explaining the story behind the numbers and working with various stakeholders to drive commercial performance, aligning with BIT’s social impact aims and continuous improvement. + + + + +About BIT: + +The Behavioural Insights Team is a social purpose company that collaborates with governments, businesses, and charities to address major policy issues through simple yet powerful changes. With 250 staff across 8 countries, BIT has completed over 1000 projects, including 700 randomized controlled trials, to improve lives and communities. Acquired by Nesta in 2021, BIT continues to share expertise and build capacity in applying behavioural science for social good + + + + +Role and Responsibilities: + +This newly created role is in BIT’s Data team, reporting to the Head of Data Visualisation to support the day-to-day business running of Power BI and the improvement of efficiencies in the business. You will play a crucial role in monitoring data quality, correcting data issues, and supporting the finance team with month-end reporting. + + + + +Key responsibilities include: + +Data Quality and Maintenance: Monitor reports for data quality, correct data issues, and ensure the main data system is current. Become an expert in using the system and advise users across the business. +Data Integration and Visualization: Use Power BI to connect to various data sources, manipulate data, and display it in an easily digestible format. Perform statistical analysis of data and create understandable reports and visualizations. +Ad-Hoc Data Requests: Handle ad-hoc data requests from around the business, providing support with exports from Power BI or other data systems. +Support Finance Team: Assist with the budgeting process for the finance team using G-Sheets and Power BI, and support month-end reporting by reconciling data between sources. +Stakeholder Engagement: Liaise with stakeholders to understand data content and business requirements for reporting, and work to deliver these reports. + + + + +Skills and Experience: + +Data Analysis: Strong interest in and passion for data analysis. Proficiency in using tools such as Excel/Google Sheets for data extraction and analysis. Extensive experience with Power BI, including connecting to data sources, manipulating data, and creating visualizations. +Process Improvement: Ability to analyze, prioritize, and redesign business processes to simplify, automate, and reduce workload—experience in planning, implementing, and communicating changes effectively. +Communication: Excellent written and oral communication skills. Ability to explain complex topics in simple terms and communicate effectively with internal and external stakeholders. +Time Management: Proven ability to manage deadlines and priorities to produce high-quality work within reasonable timeframes. +Teamwork: Although this role will be mainly independent, experience in collaborating with team members and providing support to ensure successful project outcomes. Ability to manage workload effectively and care about the success and well-being of others. +Ability to work independently: Ability to carry out all the above skills independently as this will be a self-sufficient role. + + + + +Qualifications: + +A bachelor's degree (or equivalent qualification) in a relevant field, such as Data Science, Statistics, Finance, or a related discipline. +1-3 years of experience in a data analyst role, focusing on using Power BI (with both M-Query and DAX) for data visualization and analysis. + + + + +Ideal Candidates Will Also Have: + +Experience working with overseas subsidiaries. +Experience in professional services or consultancy businesses. + +Show more ","
    + + + + + +
    +
    +

    Are you seeking a new challenge in a dynamic and impactful organization? The Behavioural Insights Team (BIT) is looking for a passionate individual to support data-driven business decisions and operational excellence. This role involves explaining the story behind the numbers and working with various stakeholders to drive commercial performance, aligning with BIT’s social impact aims and continuous improvement.


    About BIT:

    The Behavioural Insights Team is a social purpose company that collaborates with governments, businesses, and charities to address major policy issues through simple yet powerful changes. With 250 staff across 8 countries, BIT has completed over 1000 projects, including 700 randomized controlled trials, to improve lives and communities. Acquired by Nesta in 2021, BIT continues to share expertise and build capacity in applying behavioural science for social good


    Role and Responsibilities:

    This newly created role is in BIT’s Data team, reporting to the Head of Data Visualisation to support the day-to-day business running of Power BI and the improvement of efficiencies in the business. You will play a crucial role in monitoring data quality, correcting data issues, and supporting the finance team with month-end reporting.


    Key responsibilities include:

    • Data Quality and Maintenance: Monitor reports for data quality, correct data issues, and ensure the main data system is current. Become an expert in using the system and advise users across the business.
    • Data Integration and Visualization: Use Power BI to connect to various data sources, manipulate data, and display it in an easily digestible format. Perform statistical analysis of data and create understandable reports and visualizations.
    • Ad-Hoc Data Requests: Handle ad-hoc data requests from around the business, providing support with exports from Power BI or other data systems.
    • Support Finance Team: Assist with the budgeting process for the finance team using G-Sheets and Power BI, and support month-end reporting by reconciling data between sources.
    • Stakeholder Engagement: Liaise with stakeholders to understand data content and business requirements for reporting, and work to deliver these reports.


    Skills and Experience:

    • Data Analysis: Strong interest in and passion for data analysis. Proficiency in using tools such as Excel/Google Sheets for data extraction and analysis. Extensive experience with Power BI, including connecting to data sources, manipulating data, and creating visualizations.
    • Process Improvement: Ability to analyze, prioritize, and redesign business processes to simplify, automate, and reduce workload—experience in planning, implementing, and communicating changes effectively.
    • Communication: Excellent written and oral communication skills. Ability to explain complex topics in simple terms and communicate effectively with internal and external stakeholders.
    • Time Management: Proven ability to manage deadlines and priorities to produce high-quality work within reasonable timeframes.
    • Teamwork: Although this role will be mainly independent, experience in collaborating with team members and providing support to ensure successful project outcomes. Ability to manage workload effectively and care about the success and well-being of others.
    • Ability to work independently: Ability to carry out all the above skills independently as this will be a self-sufficient role.


    Qualifications:

    • A bachelor's degree (or equivalent qualification) in a relevant field, such as Data Science, Statistics, Finance, or a related discipline.
    • 1-3 years of experience in a data analyst role, focusing on using Power BI (with both M-Query and DAX) for data visualization and analysis.


    Ideal Candidates Will Also Have:

    • Experience working with overseas subsidiaries.
    • Experience in professional services or consultancy businesses.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4008624910,https://uk.linkedin.com/jobs/view/data-analyst-at-the-sun-4008624910?position=35&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=cc9q3qY8JH0flkk66gIKEg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,The Sun,"London Area, United Kingdom","We are News UK: One of the leading media businesses in the UK and Ireland, our newsbrands include The Times, The Sunday Times, The Sun, The Sun on Sunday and The TLS. Our national broadcast brands include talkSPORT, Times Radio, talkRADIO and Virgin Radio UK, and we have market-leading local radio stations across Ireland. Our world-famous brands provide news, analysis, opinion and entertainment to almost 40 million people each month. Spanning digital and print, audio and video, events and experiences, our brands are home to a plurality of opinion, representing the diverse communities we serve. News UK is wholly owned by News Corp. + + + + +The Sun is Britain’s largest newspaper which launched in 1969 with the slogan ‘forward with the people’, because that is what we believe in. We are a group of talented, dedicated, and creative people with a real passion for delivering real stories to our ever-growing audiences. Our newspapers and digital products include some of the most powerful storytelling, reaching over 30 million people each month. The Sun is more than a newspaper. It is an entertainer, a cultural reference point, and a finger on the pulse. + + + + +Your Team: You’ll be joining the Analytics team to help maximise our relationship with the 30m+ monthly readers of The Sun, contributing to continued annual growth. We are at the forefront of innovative approaches to both data and customer experience, evidenced by the team recently winning 4 ‘best use of data’ awards, living up to our vision of driving the business through data. + + + + +Your Role: You will add value by partnering with senior stakeholder groups across The Sun to drive customer behaviour and advise on how we can utilise our data to meet our objectives. You will work closely with teams including the Newsrooms, Product Development, Marketing, User Experience and Technology to provide innovative ideas and actionable insights to improve decision making, content commissioning and ultimately engagement and upsell. + + + + +Day to day you will: + +Generate Actionable Insights: Work with key stakeholders from Products, CRM, Audience, Marketing & Promotions and others. Produce automated reporting, provide in-depth analysis and actionable insights to improve decision making within Product, Editorial, Marketing & Promotions, Audience, etc., ultimately contributing to audience growth and increasing revenue. +Collaborate with Technical Teams: Work closely with Data Engineering, Architecture, and Analytics Implementation teams to ensure smooth data flow and accurate reporting. Your collaboration will ensure that data is effectively utilised across all departments. +Enable Strategic Decision-Making: Engage with senior stakeholders to translate data insights into actionable strategies. Participate in business meetings, identify critical data needs, and assist in crafting clear, actionable recommendations that align with business goals. + + + + +What we’re looking for from you: + +Utilise SQL in Google BigQuery to manipulate and process large data sets to enable concise reporting and analysis. +Embrace the challenge of visualising data in a meaningful and actionable way in Tableau & Looker Studio. +Enjoy presenting and communicating detailed analysis to non-technical stakeholders. +Develop the technical understanding in the area of expertise in your role, be it in customer acquisition, churn, A/B tests, digital audience measurement or commercial advertising. +An understanding of the subscription business and how data can be used to support different elements of the subscription funnel. +A clear understanding of the media landscape across print, digital, radio and television. + + + + +If you think you have what it takes but don’t tick every requirement on the list, please do apply. We recognise that considering someone’s potential as well as their experience is a great way to hire. We want to hear from people who have a passion to learn and develop. + + + + +Life at News: Driven by passion, guided by principles and acting with purpose. We represent, reflect and reach the nation, telling the stories that matter. We inform our audiences so that they can make decisions based on trusted information. + + + + +To do this, we believe our employees must represent different backgrounds, perspectives and experiences. We strive to maximise and encourage every individual’s potential and ensure everyone feels valued. We support this through our Diversity, Equity and Inclusion Strategy, which focuses on three main priorities - attracting talent from a wider, more representative pool, developing equity programmes to drive better representation in our leadership, and ensuring diversity and inclusivity in our workforce as well as the journalism and content we produce. We also currently have 12 employee led networks and groups that support our strategy and connect like minded employees socially. + + + + +Benefits: + +Some of our benefits include: + +Maternity leave up to 18 weeks full basic salary & paternity leave up to 2 weeks +Wide range of training available, plus full LinkedIn Learning access +Private medical insurance including coverage for pre-existing conditions +Discounted gym memberships, free ClassPass at Home, weekly virtual yoga classes +‘Bikes for Work’ and ‘Electric Car’ scheme +Up to 60% discount on Harper Collins books +Access to exclusive events and competitions with exciting brands such as talkSPORT, Virgin Radio UK & The Times. Weekly virtual panel chats with top journalists and celebrities +Access to wellbeing benefits such as EAP, physio/massage and counselling +A generous pension scheme with employer contributions of up to 5% +25 days holiday, plus bank holidays and up to 4 volunteering days per year +Thriving employee networks supporting colleagues to embed and grow, including women in technology, parenting, wellbeing, GenZ, NewsIsOut and faith-oriented groups. + + + + +We want to ensure that everyone we meet has the opportunity to perform to their best when applying for a role. Please let us know, at any stage, whether you require any reasonable adjustments during the recruitment process, and we will do our best to accommodate. + +Show more ","
    + + + + + +
    +
    +

    We are News UK: One of the leading media businesses in the UK and Ireland, our newsbrands include The Times, The Sunday Times, The Sun, The Sun on Sunday and The TLS. Our national broadcast brands include talkSPORT, Times Radio, talkRADIO and Virgin Radio UK, and we have market-leading local radio stations across Ireland. Our world-famous brands provide news, analysis, opinion and entertainment to almost 40 million people each month. Spanning digital and print, audio and video, events and experiences, our brands are home to a plurality of opinion, representing the diverse communities we serve. News UK is wholly owned by News Corp.


    The Sun is Britain’s largest newspaper which launched in 1969 with the slogan ‘forward with the people’, because that is what we believe in. We are a group of talented, dedicated, and creative people with a real passion for delivering real stories to our ever-growing audiences. Our newspapers and digital products include some of the most powerful storytelling, reaching over 30 million people each month. The Sun is more than a newspaper. It is an entertainer, a cultural reference point, and a finger on the pulse.


    Your Team: You’ll be joining the Analytics team to help maximise our relationship with the 30m+ monthly readers of The Sun, contributing to continued annual growth. We are at the forefront of innovative approaches to both data and customer experience, evidenced by the team recently winning 4 ‘best use of data’ awards, living up to our vision of driving the business through data.


    Your Role: You will add value by partnering with senior stakeholder groups across The Sun to drive customer behaviour and advise on how we can utilise our data to meet our objectives. You will work closely with teams including the Newsrooms, Product Development, Marketing, User Experience and Technology to provide innovative ideas and actionable insights to improve decision making, content commissioning and ultimately engagement and upsell.


    Day to day you will:

    • Generate Actionable Insights: Work with key stakeholders from Products, CRM, Audience, Marketing & Promotions and others. Produce automated reporting, provide in-depth analysis and actionable insights to improve decision making within Product, Editorial, Marketing & Promotions, Audience, etc., ultimately contributing to audience growth and increasing revenue.
    • Collaborate with Technical Teams: Work closely with Data Engineering, Architecture, and Analytics Implementation teams to ensure smooth data flow and accurate reporting. Your collaboration will ensure that data is effectively utilised across all departments.
    • Enable Strategic Decision-Making: Engage with senior stakeholders to translate data insights into actionable strategies. Participate in business meetings, identify critical data needs, and assist in crafting clear, actionable recommendations that align with business goals.


    What we’re looking for from you:

    • Utilise SQL in Google BigQuery to manipulate and process large data sets to enable concise reporting and analysis.
    • Embrace the challenge of visualising data in a meaningful and actionable way in Tableau & Looker Studio.
    • Enjoy presenting and communicating detailed analysis to non-technical stakeholders.
    • Develop the technical understanding in the area of expertise in your role, be it in customer acquisition, churn, A/B tests, digital audience measurement or commercial advertising.
    • An understanding of the subscription business and how data can be used to support different elements of the subscription funnel.
    • A clear understanding of the media landscape across print, digital, radio and television.


    If you think you have what it takes but don’t tick every requirement on the list, please do apply. We recognise that considering someone’s potential as well as their experience is a great way to hire. We want to hear from people who have a passion to learn and develop.


    Life at News: Driven by passion, guided by principles and acting with purpose. We represent, reflect and reach the nation, telling the stories that matter. We inform our audiences so that they can make decisions based on trusted information.


    To do this, we believe our employees must represent different backgrounds, perspectives and experiences. We strive to maximise and encourage every individual’s potential and ensure everyone feels valued. We support this through our Diversity, Equity and Inclusion Strategy, which focuses on three main priorities - attracting talent from a wider, more representative pool, developing equity programmes to drive better representation in our leadership, and ensuring diversity and inclusivity in our workforce as well as the journalism and content we produce. We also currently have 12 employee led networks and groups that support our strategy and connect like minded employees socially.


    Benefits:

    Some of our benefits include:

    • Maternity leave up to 18 weeks full basic salary & paternity leave up to 2 weeks
    • Wide range of training available, plus full LinkedIn Learning access
    • Private medical insurance including coverage for pre-existing conditions
    • Discounted gym memberships, free ClassPass at Home, weekly virtual yoga classes
    • ‘Bikes for Work’ and ‘Electric Car’ scheme
    • Up to 60% discount on Harper Collins books
    • Access to exclusive events and competitions with exciting brands such as talkSPORT, Virgin Radio UK & The Times. Weekly virtual panel chats with top journalists and celebrities
    • Access to wellbeing benefits such as EAP, physio/massage and counselling
    • A generous pension scheme with employer contributions of up to 5%
    • 25 days holiday, plus bank holidays and up to 4 volunteering days per year
    • Thriving employee networks supporting colleagues to embed and grow, including women in technology, parenting, wellbeing, GenZ, NewsIsOut and faith-oriented groups.


    We want to ensure that everyone we meet has the opportunity to perform to their best when applying for a role. Please let us know, at any stage, whether you require any reasonable adjustments during the recruitment process, and we will do our best to accommodate.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +3998009596,https://uk.linkedin.com/jobs/view/data-analyst-bnef-6-month-contract-london-at-bloomberg-3998009596?position=36&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=Us3YeNIBO7qhG6Au9cVHhQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Analyst, BNEF (6-month contract) - London",Bloomberg,"London, England, United Kingdom","BloombergNEF (BNEF) is a strategic research provider covering global commodity markets and the disruptive technologies driving the transition to a low-carbon economy. We help our clients gain a clear perspective on the trends in technology, finance, policy and economics that are driving transformation across the energy value chain. Our expert coverage assesses pathways for the power, transport, industry, buildings and agriculture sectors to adapt to the energy transition. We help commodity trading, corporate strategy, finance and policy professionals navigate change and generate opportunities. BNEF has 250 staff based in 19 offices across the globe. + +We are seeking a highly motivated data analyst to join BNEF's Food and Agriculture team in our London office. The role will initially begin on a 6-month contract with the possibility of extension to longer term employment. + +You are a versatile data analyst with an interest in applying your skills to analyze the transition to a more sustainable food and agriculture system. You are an analytical problem solver that enjoys developing expertise on a topic, building models and data driven tools, and producing robust, defendable and well-structured analysis. You will have strong quantitative analysis skills along with an interest in solving problems on complex subjects. + +Working in our Food, Agriculture and Nature team, you will play a central role contributing to a large project we will conduct in collaboration with a key multilateral institution. You will help to research, scope and define the data and calculations that will form the evidence base for the project, and shape a methodology that is consistent with the best available science. You will then play a leading role completing the project by conducting primary research, acquiring data, building systems and analyzing the trends you find in the market. You will then collaborate with colleagues to produce high-quality datasets, conduct analysis for a flagship report, produce data-driven tools and visualizations to communicate our findings. Your work will play a key role in catalyzing the investment that is required to drive the transition to a more sustainable food and agriculture system. + +We'll Trust You To + + +Develop and maintain expertise in sustainable agriculture data acquisition and analysis +Build and maintain sophisticated models and tools that help us to understand, analyze and project the future of the food system +Stay up-to-date on industry trends and best practices on collecting and building datasets and visualizations +Contribute to research reports and presentations +Collaborate with colleagues (globally) to deliver high-quality insights and datasets to clients and proactively participate in BNEF data leads initiatives +Build automated data collection and cleaning workflows + + +You’ll Need To Have + + +A degree or equivalent experience in an analytical field, such as science, mathematics, engineering, finance, economics or a related field +An interest in efforts to mitigate climate change, reduce biodiversity loss and solve other environmental problems in the food and agriculture system +Demonstrated experience in data analysis, cleaning, preparation and transformation techniques +Proficiency in Python for data analysis and automation +An understanding of SQL for data extraction and querying +A natural interest in data visualization and familiarity with PowerBI, QlikSense, Tableau or other data visualization tools +Strong quantitative skills; comfortable with large datasets and building Excel models and tools +Good communication skills in English: writing (for research reports), reading (to conduct research) and speaking (to communicate your findings to clients and at industry events) +Rigorous attention to detail and a commitment to high-quality work + + +We'd Love To See + + +Basic knowledge of machine learning algorithms +Familiarity with datasets in the agriculture, food, climate change, sustainability or environment sectors +Skills or experience with Geographic Information Systems (GIS) software and tools +Foreign language skills + + +If This Sounds Like You + +Apply if you think we're a good match! We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: + +https://www.bloomberg.com/careers/about/ + +https://about.bnef.com/ +Show more ","
    + + + + + +
    +
    + BloombergNEF (BNEF) is a strategic research provider covering global commodity markets and the disruptive technologies driving the transition to a low-carbon economy. We help our clients gain a clear perspective on the trends in technology, finance, policy and economics that are driving transformation across the energy value chain. Our expert coverage assesses pathways for the power, transport, industry, buildings and agriculture sectors to adapt to the energy transition. We help commodity trading, corporate strategy, finance and policy professionals navigate change and generate opportunities. BNEF has 250 staff based in 19 offices across the globe.

    We are seeking a highly motivated data analyst to join BNEF's Food and Agriculture team in our London office. The role will initially begin on a 6-month contract with the possibility of extension to longer term employment.

    You are a versatile data analyst with an interest in applying your skills to analyze the transition to a more sustainable food and agriculture system. You are an analytical problem solver that enjoys developing expertise on a topic, building models and data driven tools, and producing robust, defendable and well-structured analysis. You will have strong quantitative analysis skills along with an interest in solving problems on complex subjects.

    Working in our Food, Agriculture and Nature team, you will play a central role contributing to a large project we will conduct in collaboration with a key multilateral institution. You will help to research, scope and define the data and calculations that will form the evidence base for the project, and shape a methodology that is consistent with the best available science. You will then play a leading role completing the project by conducting primary research, acquiring data, building systems and analyzing the trends you find in the market. You will then collaborate with colleagues to produce high-quality datasets, conduct analysis for a flagship report, produce data-driven tools and visualizations to communicate our findings. Your work will play a key role in catalyzing the investment that is required to drive the transition to a more sustainable food and agriculture system.

    We'll Trust You To

    • Develop and maintain expertise in sustainable agriculture data acquisition and analysis
    • Build and maintain sophisticated models and tools that help us to understand, analyze and project the future of the food system
    • Stay up-to-date on industry trends and best practices on collecting and building datasets and visualizations
    • Contribute to research reports and presentations
    • Collaborate with colleagues (globally) to deliver high-quality insights and datasets to clients and proactively participate in BNEF data leads initiatives
    • Build automated data collection and cleaning workflows

    You’ll Need To Have

    • A degree or equivalent experience in an analytical field, such as science, mathematics, engineering, finance, economics or a related field
    • An interest in efforts to mitigate climate change, reduce biodiversity loss and solve other environmental problems in the food and agriculture system
    • Demonstrated experience in data analysis, cleaning, preparation and transformation techniques
    • Proficiency in Python for data analysis and automation
    • An understanding of SQL for data extraction and querying
    • A natural interest in data visualization and familiarity with PowerBI, QlikSense, Tableau or other data visualization tools
    • Strong quantitative skills; comfortable with large datasets and building Excel models and tools
    • Good communication skills in English: writing (for research reports), reading (to conduct research) and speaking (to communicate your findings to clients and at industry events)
    • Rigorous attention to detail and a commitment to high-quality work

    We'd Love To See

    • Basic knowledge of machine learning algorithms
    • Familiarity with datasets in the agriculture, food, climate change, sustainability or environment sectors
    • Skills or experience with Geographic Information Systems (GIS) software and tools
    • Foreign language skills

    If This Sounds Like You

    Apply if you think we're a good match! We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this:

    https://www.bloomberg.com/careers/about/

    https://about.bnef.com/ +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +4001709996,https://uk.linkedin.com/jobs/view/data-analyst-at-rapp-4001709996?position=38&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=4VohTmgWNHXOuN7s09KyBg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,RAPP,"London, England, United Kingdom","About Rapp + +We stand up for individuality. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency’s vision. And most importantly we value every individual’s wellbeing. + +As a diversity champion, equal opportunities and disability confident employer and an ardent advocate of flexible working we understand that everyone has unique requirements and needs. + +We are a global creative agency, but the individual really is at the heart of everything we do. We use data to find out what makes them tick. We use technology to talk to them one-to-one – but to one million at a time. And we use creativity to encourage them to engage, click, buy and bond, again and again. + +Each brand is unique and has its own individual challenges. We pride ourselves in rising to each and every one of them, for brands such as KFC, Mercedes Benz, IKEA, Paypal and Virgin Media 02. + +Us + +In order to foster collaboration and relationships, our hybrid model requires three office days per week. As equal opportunities proponents, we are open to discuss any hybrid working related needs during the initial screening. + +Learning and Development is important. We all know that. Its why we have a dedicated Learning and Development team and offer regular career conversations and bespoke L&D programmes so that you can leave us with more than when you started. + +We recognise that the work of diversity, equity and inclusion calls on all of us. That’s why we set up The Neighbourhood. A collective of people, at different stages of the DE&I journey, whether impacted or allies, dedicated to helping our colleagues take ownership and effect change across 4 key pillars; Anti-racism, Disability, Gender & LGBTQ+ and Parents & Carers. + +The Health and Wellbeing of our people matters immensely. We offer Coaching opportunities for all through our partnerships with Sanctus (mental health partner who provides online coaching; you can talk about anything, personal or professional) and Sayge (1:1 professional development coaching program). We have 40 trained Mental Health First Aiders across the agency and have Babylon Health (Private GP service) for all. + +You’re better at work when you feel better in yourself. So, in addition to your annual holiday, you can take a “Me” day and an “Us” day, every year. Your “Me” day is for you to invest in yourself – go after a life goal, meditate, learn to paint, bake cakes or just have a duvet day watching Netflix! + +Your “Us” day is all about giving back and helping others – volunteer, pick litter at a local park, hang out with the elderly or raise money for a local charity. + +We’re progressive and always open to new initiatives, for example we’ve recently partnered with Fertifa (Leading Fertility and Reproductive Health benefit providers). Because we know the journey to becoming a family isn’t always easy (that includes men too), and we support our people through that journey whether you are new parent, experiencing the menopause, or anything else in between. + +Whatever stage of life you are at, we make sure you have the tools you need to have a healthy work life balance. + +US MARKETING SCIENCES + +The Marketing Sciences team at RAPP is a driving force behind the agency's success, harnessing the power of data and technology. We are superconnectors, bridging the gap between creativity, data and tech to unlock limitless possibilities and disruption. + +Our mission is to provide deep insights and a true robust understanding of our clients' businesses and marketing challenges. Our expertise is to empower our agency and the client to make data-driven decisions that directly impact performance and drive measurable results. + +From identifying the untapped value of client data to expanding its potential through data capture, rigorous analysis, and statistical techniques, we leave no stone unturned. We are split into 4 disciplines in Marketing Sciences; Data Science, Data Analytics, Data Enablement and Data Visualisation to enable us to deliver against any client data driven challenge. + +Together, we will revolutionize the way data is utilised, ensuring that every action we take contributes to the success of our clients and propels the agency forward. Welcome to a future where data and technology and your ideas push the boundaries of what's possible. + +Your Role + +In the Data Analytics team you will ensure both the voice of the customer and CFO are represented in the room with hard evidence. As well as supporting exceptional customer experiences using data, you will help ensure every action we take is directly improving performance against your clients objectives. + +As an Analyst, you will work under supervision to deliver projects within set deadlines, utilising your strong hands on analytical capabilities. Your strengths in Python and SQL will ensure you can efficiently deliver robust analytics with guidance from your team. + +Your experience with web and social analytics tools (GA / Adobe / Brandwatch / Sprinklr) and data visualisation tools (Power BI / Tableau / Looker / etc) will enable you to uncover key insights across channels and create self-service dashboards. + +You will be comfortable working as part of a team with supervision from seniors, whilst being able to execute analysis independently. + +Whilst no two days will look the same, you’ll be sharing findings back to more senior members of the team to shape for articulation to clients. + +Under the guidance of senior members of the team you support answering strategic questions using data and forge an understanding of how to deliver personalisation at scale. + +In Data Analytics you won’t be expected to build advanced segmentations and data science models, but you will develop an understanding of the art of the possible with data science, the necessary data required to fuel models and an ability to spot where a business challenge would be best supported through automation or leveraging the latest modelling techniques. + +You will have a developing interest with the omni-channel landscape and be able to develop a strong understanding of how to capture and utilise data across channels, from creating tagging and taxonomy to measurement with web analytics tools. + +Once you join the team, you will be onboarded to our product suite and playbooks and be capable of articulating and following these best-in-class approaches. + +The ideal candidate is ready to jump in. Find problems. Fix them. Build relationships. Stay up-to-date with the latest innovations. Do whatever it takes to go above and beyond. And stand up for individuality. + +Your Responsibilities + +Management + + +You will be mentored to understand how to become a manager +You will follow the direction of your line manager and manage upwards when needed + + +Client + + +Understanding clients’ objectives, their business and KPIs and step change their businesses through the power of data +Deliver and understand the role of the work briefed to you +Challenge the briefs and ambition of the work +Build relationships with analysts client side +Support the creation of best-in-class, statistically significant, measurement and reporting +Collaborate in a results-driven, test, learn and optimisation culture for the client +Communicate analytical outputs +Ensure deliverables are completed on time and learn to deliver presentation quality +Follow robust, scalable and efficient processes for delivery + +New Business / PR + + +Be aware of our new business pitches and work we are doing +Participate in thought pieces / case studies / award entries showing off your work to the industry + + +Network + + +Understand our network and other players within it + + +Evolution + + +Focus on your constant evolution - Show a desire to learn and develop core analytical skills +Understand your strengths and weaknesses and train accordingly + + +Your Skills And Experience + + +Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PHD is a plus. Degree will not be required with appropriate work experience. +1 – 2 years of relevant experience in marketing analytics, customer experience insights, performance optimization, ideally in a marketing agency or management consulting practice. +You will be expected to have an understanding and with guidance utilise our core technical skills: +Core analytical languages and software (Excel, SQL, Python, Alteryx) +Statistics +Data Visualisation tools (Power BI / Tableau / Looker / etc) +Web and Social Analytics (GA / Adobe / Brandwatch / Sprinklr) +Value engineering / Business casing +Performance Measurement and Measurement Frameworks +Data Protection / GDPR +Customer journey analysis and planning +Brief planning and writing +Progressive data capture +Segmentation and Modelling +Martech design and ecosystem tracking (tagging and taxonomy) +Developing knowledge of experimental / multivariate test design techniques. +Growing knowledge of 1st, 2nd and 3rd party data +Confident, conscientious, self-starter, a good work ethic, and capable of building good working relationships with clients as well as other team members. +Naturally curious, imaginative and have a practical approach to problem solving. +Experience jumping in, finding problems across data and process, and fixing them. +Ability to work independently as well with a team in an agile and fast environment. +Ability to develop, learn, follow and adapt repeatable processes or products to drive efficiency and consistency of delivery. + + +Recruitment process + +We’re not a 9 stage interview process agency. We like to keep recruitment swift, lean and individual and find that 2 or 3 stages gives all parties the opportunity to get to know each other. Plus we have a team on hand to answer questions throughout the process. + +We are RAPP. And we can’t wait to meet you +Show more ","
    + + + + + +
    +
    + About Rapp

    We stand up for individuality. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency’s vision. And most importantly we value every individual’s wellbeing.

    As a diversity champion, equal opportunities and disability confident employer and an ardent advocate of flexible working we understand that everyone has unique requirements and needs.

    We are a global creative agency, but the individual really is at the heart of everything we do. We use data to find out what makes them tick. We use technology to talk to them one-to-one – but to one million at a time. And we use creativity to encourage them to engage, click, buy and bond, again and again.

    Each brand is unique and has its own individual challenges. We pride ourselves in rising to each and every one of them, for brands such as KFC, Mercedes Benz, IKEA, Paypal and Virgin Media 02.

    Us

    In order to foster collaboration and relationships, our hybrid model requires three office days per week. As equal opportunities proponents, we are open to discuss any hybrid working related needs during the initial screening.

    Learning and Development is important. We all know that. Its why we have a dedicated Learning and Development team and offer regular career conversations and bespoke L&D programmes so that you can leave us with more than when you started.

    We recognise that the work of diversity, equity and inclusion calls on all of us. That’s why we set up The Neighbourhood. A collective of people, at different stages of the DE&I journey, whether impacted or allies, dedicated to helping our colleagues take ownership and effect change across 4 key pillars; Anti-racism, Disability, Gender & LGBTQ+ and Parents & Carers.

    The Health and Wellbeing of our people matters immensely. We offer Coaching opportunities for all through our partnerships with Sanctus (mental health partner who provides online coaching; you can talk about anything, personal or professional) and Sayge (1:1 professional development coaching program). We have 40 trained Mental Health First Aiders across the agency and have Babylon Health (Private GP service) for all.

    You’re better at work when you feel better in yourself. So, in addition to your annual holiday, you can take a “Me” day and an “Us” day, every year. Your “Me” day is for you to invest in yourself – go after a life goal, meditate, learn to paint, bake cakes or just have a duvet day watching Netflix!

    Your “Us” day is all about giving back and helping others – volunteer, pick litter at a local park, hang out with the elderly or raise money for a local charity.

    We’re progressive and always open to new initiatives, for example we’ve recently partnered with Fertifa (Leading Fertility and Reproductive Health benefit providers). Because we know the journey to becoming a family isn’t always easy (that includes men too), and we support our people through that journey whether you are new parent, experiencing the menopause, or anything else in between.

    Whatever stage of life you are at, we make sure you have the tools you need to have a healthy work life balance.

    US MARKETING SCIENCES

    The Marketing Sciences team at RAPP is a driving force behind the agency's success, harnessing the power of data and technology. We are superconnectors, bridging the gap between creativity, data and tech to unlock limitless possibilities and disruption.

    Our mission is to provide deep insights and a true robust understanding of our clients' businesses and marketing challenges. Our expertise is to empower our agency and the client to make data-driven decisions that directly impact performance and drive measurable results.

    From identifying the untapped value of client data to expanding its potential through data capture, rigorous analysis, and statistical techniques, we leave no stone unturned. We are split into 4 disciplines in Marketing Sciences; Data Science, Data Analytics, Data Enablement and Data Visualisation to enable us to deliver against any client data driven challenge.

    Together, we will revolutionize the way data is utilised, ensuring that every action we take contributes to the success of our clients and propels the agency forward. Welcome to a future where data and technology and your ideas push the boundaries of what's possible.

    Your Role

    In the Data Analytics team you will ensure both the voice of the customer and CFO are represented in the room with hard evidence. As well as supporting exceptional customer experiences using data, you will help ensure every action we take is directly improving performance against your clients objectives.

    As an Analyst, you will work under supervision to deliver projects within set deadlines, utilising your strong hands on analytical capabilities. Your strengths in Python and SQL will ensure you can efficiently deliver robust analytics with guidance from your team.

    Your experience with web and social analytics tools (GA / Adobe / Brandwatch / Sprinklr) and data visualisation tools (Power BI / Tableau / Looker / etc) will enable you to uncover key insights across channels and create self-service dashboards.

    You will be comfortable working as part of a team with supervision from seniors, whilst being able to execute analysis independently.

    Whilst no two days will look the same, you’ll be sharing findings back to more senior members of the team to shape for articulation to clients.

    Under the guidance of senior members of the team you support answering strategic questions using data and forge an understanding of how to deliver personalisation at scale.

    In Data Analytics you won’t be expected to build advanced segmentations and data science models, but you will develop an understanding of the art of the possible with data science, the necessary data required to fuel models and an ability to spot where a business challenge would be best supported through automation or leveraging the latest modelling techniques.

    You will have a developing interest with the omni-channel landscape and be able to develop a strong understanding of how to capture and utilise data across channels, from creating tagging and taxonomy to measurement with web analytics tools.

    Once you join the team, you will be onboarded to our product suite and playbooks and be capable of articulating and following these best-in-class approaches.

    The ideal candidate is ready to jump in. Find problems. Fix them. Build relationships. Stay up-to-date with the latest innovations. Do whatever it takes to go above and beyond. And stand up for individuality.

    Your Responsibilities

    Management

    • You will be mentored to understand how to become a manager
    • You will follow the direction of your line manager and manage upwards when needed

    Client

    • Understanding clients’ objectives, their business and KPIs and step change their businesses through the power of data
      • Deliver and understand the role of the work briefed to you
      • Challenge the briefs and ambition of the work
      • Build relationships with analysts client side
      • Support the creation of best-in-class, statistically significant, measurement and reporting
      • Collaborate in a results-driven, test, learn and optimisation culture for the client
      • Communicate analytical outputs
      • Ensure deliverables are completed on time and learn to deliver presentation quality
      • Follow robust, scalable and efficient processes for delivery
    New Business / PR

    • Be aware of our new business pitches and work we are doing
    • Participate in thought pieces / case studies / award entries showing off your work to the industry

    Network

    • Understand our network and other players within it

    Evolution

    • Focus on your constant evolution - Show a desire to learn and develop core analytical skills
    • Understand your strengths and weaknesses and train accordingly

    Your Skills And Experience

  • Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PHD is a plus. Degree will not be required with appropriate work experience.
  • 1 – 2 years of relevant experience in marketing analytics, customer experience insights, performance optimization, ideally in a marketing agency or management consulting practice.
  • You will be expected to have an understanding and with guidance utilise our core technical skills:
    • Core analytical languages and software (Excel, SQL, Python, Alteryx)
    • Statistics
    • Data Visualisation tools (Power BI / Tableau / Looker / etc)
    • Web and Social Analytics (GA / Adobe / Brandwatch / Sprinklr)
    • Value engineering / Business casing
    • Performance Measurement and Measurement Frameworks
    • Data Protection / GDPR
    • Customer journey analysis and planning
    • Brief planning and writing
    • Progressive data capture
    • Segmentation and Modelling
    • Martech design and ecosystem tracking (tagging and taxonomy)
    • Developing knowledge of experimental / multivariate test design techniques.
    • Growing knowledge of 1st, 2nd and 3rd party data
    • Confident, conscientious, self-starter, a good work ethic, and capable of building good working relationships with clients as well as other team members.
    • Naturally curious, imaginative and have a practical approach to problem solving.
    • Experience jumping in, finding problems across data and process, and fixing them.
    • Ability to work independently as well with a team in an agile and fast environment.
    • Ability to develop, learn, follow and adapt repeatable processes or products to drive efficiency and consistency of delivery.

    Recruitment process

    We’re not a 9 stage interview process agency. We like to keep recruitment swift, lean and individual and find that 2 or 3 stages gives all parties the opportunity to get to know each other. Plus we have a team on hand to answer questions throughout the process.

    We are RAPP. And we can’t wait to meet you +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +4004693393,https://uk.linkedin.com/jobs/view/data-analyst-at-the-fiser-group-4004693393?position=39&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=b8Eta%2BAB0w9gNYd%2BXMD3HQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,The FISER Group,"London Area, United Kingdom","Data Analyst – Analytics & Insights/ Performance, Investment Management + + + + +London, Hybrid + + + + +Duration: FTC 9-12 months + + + + +Our client is seeking a Data Analyst to join their Analytics & Insights team for a 9-12 month fixed-term contract. In this role, you will be pivotal in collecting, organising, and analysing performance data from a wide range of companies. Your contributions will be essential to key reporting and will support internal performance management, delivering high-quality insights that help shape strategy and portfolio management decisions. + + + + +Key Responsibilities: + + + + +Collect, structure, and input data from investee companies (including financial metrics, ESG indicators, and impact reports) into the company’s management information system. +Collaborate closely with various teams to ensure data accuracy, check for anomalies, and liaise with investees to resolve inconsistencies. +Provide Excel-based analysis on impact and performance, contributing to the company’s annual report and internal tools. +Oversee the migration of legacy impact metrics into a new data management system, ensuring data integrity throughout the process. +Support the team with ongoing improvements to data analysis and reporting processes. + + + + +Key Skills: + + + + +Data analysis: Strong experience in collecting and analysing data, ensuring accuracy and consistency across multiple sources. +Excel proficiency: Essential, with a preference for experience in automating analysis processes. +Technical know-how: Familiarity with Power BI, Microsoft PowerPoint, and accounting terminology. +Project management: Strong organisational skills to handle large datasets and meet deadlines. +Attention to detail: Critical for managing and analysing data from various reports and systems. + + + + +Personal Attributes: + + + + +Collaborative: Proven ability to work closely with cross-functional teams. +Detail-oriented: High attention to detail with a focus on data accuracy and quality assurance. +Results-driven: Motivated by achieving high-quality outcomes and continuously improving processes. + +Show more ","
    + + + + + +
    +
    +

    Data Analyst – Analytics & Insights/ Performance, Investment Management


    London, Hybrid


    Duration: FTC 9-12 months


    Our client is seeking a Data Analyst to join their Analytics & Insights team for a 9-12 month fixed-term contract. In this role, you will be pivotal in collecting, organising, and analysing performance data from a wide range of companies. Your contributions will be essential to key reporting and will support internal performance management, delivering high-quality insights that help shape strategy and portfolio management decisions.


    Key Responsibilities:


    • Collect, structure, and input data from investee companies (including financial metrics, ESG indicators, and impact reports) into the company’s management information system.
    • Collaborate closely with various teams to ensure data accuracy, check for anomalies, and liaise with investees to resolve inconsistencies.
    • Provide Excel-based analysis on impact and performance, contributing to the company’s annual report and internal tools.
    • Oversee the migration of legacy impact metrics into a new data management system, ensuring data integrity throughout the process.
    • Support the team with ongoing improvements to data analysis and reporting processes.


    Key Skills:


    • Data analysis: Strong experience in collecting and analysing data, ensuring accuracy and consistency across multiple sources.
    • Excel proficiency: Essential, with a preference for experience in automating analysis processes.
    • Technical know-how: Familiarity with Power BI, Microsoft PowerPoint, and accounting terminology.
    • Project management: Strong organisational skills to handle large datasets and meet deadlines.
    • Attention to detail: Critical for managing and analysing data from various reports and systems.


    Personal Attributes:


    • Collaborative: Proven ability to work closely with cross-functional teams.
    • Detail-oriented: High attention to detail with a focus on data accuracy and quality assurance.
    • Results-driven: Motivated by achieving high-quality outcomes and continuously improving processes.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4003801021,https://uk.linkedin.com/jobs/view/data-analyst-at-omnis-partners-4003801021?position=40&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=a1LI1JOLiCKPSHar4syuIg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Omnis Partners,"London Area, United Kingdom","🔥🔥Data Insight Analyst🔥🔥 + +💫 Social & Customer 💫 + + + + + + + +💰£50k & benefits + +🏠 Hybrid / London Office 2-3 days + + + + + + + +📌Work across a range of clients in retail, FMCG and charity industries + +📌 Act as 'right hand person' to Head of Data to lead on projects + +📌 Strong skills with SQL, social media listening tools and Google Analytics + +📌 Basic (or more advanced) skills with Python coupled with base understanding of analytical modelling + +📌 Business or client facing skills required to liaise with, and nurture client relationships + + + + + + + +I have partnered with an award winning global Marketing & Advertising agency to hire for a Data Analyst to join their growing Data Science team. + + + + + + + +A chance to diversify your experience by working across multiple clients in various industries, delivering data science solutions to support improved omnichannel customer experience and campaign performance. + + + + + + + +You will use a variety of analytical techniques and tools, such as Python, Google Analytics and BrandWatch, to deliver insights and measurement around web, search and social data, working with API's (like TikTok and Spotify) to segment and analyse audience and customer data. + + + + + + + +There is strong ambition and scope and deliver more advanced machine learning projects, so it's important your skills can span a range of analytics and more advanced data science projects, helping to win work in this space. + + + + + + + +Responsibilities: + + + + +Build and maintain robust statistical algorithms and predictive models to support data analytics projects around customer, digital marketing and product performance. +Pull data from various API's to bridge gaps in traditional data sources and tools. +Translate complex data findings into compelling presentation for non-technical audiences ,through building beautiful data visualisations +Work in partnership with creative teams to support data driven thinking, content creation and web builds. + + + + + + + +Experience: + + + + +Educated to degree level in relevant subject such as Computer Science, Machine Learning, Mathematics, Statistics, Physics, Chemistry, Engineering etc. +Strong coding skills with SQL, working with large and complex data sets to extract insights and identify trends +Ideally experience in programming and modelling with Python, to support analytics projects +Strong technical skills with Google Analytics (GA) or Adobe Analytics for digital analytics, as well as social media listening tools such as BrandWatch or TalkWalker +Ideally experience working with multiple API data flows + +Show more ","
    + + + + + +
    +
    +

    🔥🔥Data Insight Analyst🔥🔥

    💫 Social & Customer 💫



    💰£50k & benefits

    🏠 Hybrid / London Office 2-3 days



    📌Work across a range of clients in retail, FMCG and charity industries

    📌 Act as 'right hand person' to Head of Data to lead on projects

    📌 Strong skills with SQL, social media listening tools and Google Analytics

    📌 Basic (or more advanced) skills with Python coupled with base understanding of analytical modelling

    📌 Business or client facing skills required to liaise with, and nurture client relationships



    I have partnered with an award winning global Marketing & Advertising agency to hire for a Data Analyst to join their growing Data Science team.



    A chance to diversify your experience by working across multiple clients in various industries, delivering data science solutions to support improved omnichannel customer experience and campaign performance.



    You will use a variety of analytical techniques and tools, such as Python, Google Analytics and BrandWatch, to deliver insights and measurement around web, search and social data, working with API's (like TikTok and Spotify) to segment and analyse audience and customer data.



    There is strong ambition and scope and deliver more advanced machine learning projects, so it's important your skills can span a range of analytics and more advanced data science projects, helping to win work in this space.



    Responsibilities:


    • Build and maintain robust statistical algorithms and predictive models to support data analytics projects around customer, digital marketing and product performance.
    • Pull data from various API's to bridge gaps in traditional data sources and tools.
    • Translate complex data findings into compelling presentation for non-technical audiences ,through building beautiful data visualisations
    • Work in partnership with creative teams to support data driven thinking, content creation and web builds.



    Experience:


    • Educated to degree level in relevant subject such as Computer Science, Machine Learning, Mathematics, Statistics, Physics, Chemistry, Engineering etc.
    • Strong coding skills with SQL, working with large and complex data sets to extract insights and identify trends
    • Ideally experience in programming and modelling with Python, to support analytics projects
    • Strong technical skills with Google Analytics (GA) or Adobe Analytics for digital analytics, as well as social media listening tools such as BrandWatch or TalkWalker
    • Ideally experience working with multiple API data flows

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-18,[] +3988545003,https://uk.linkedin.com/jobs/view/data-analyst-jr100931-at-clarion-events-3988545003?position=42&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=J2JmPmQA2JQDTAoaY3xooQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (JR100931),Clarion Events,"London, England, United Kingdom","At Clarion, our people are at the absolute heart of what we do. We're proud that our core values of PASSION, CARE, IMAGINATION, and TRUST define the way we carry out our work across all of our exhibitions and conferences. + +If you share our values and want to be a part of a successful, dynamic, and creative global business then we want to hear from you. + +The Opportunity: + +Clarion Gaming Digital are a market-leading media and marketing services provider. We work hand in hand with our Clarion Events team, who organise the largest B2B Global Gaming event, ICE London. + +Our leading digital media site, igamingbusiness.com, is the leading B2B website in the sector and we have exciting yet ambitious plans to scale our existing Gaming digital business model, and diversify into other digital media products within the B2B Gaming space. + +We have spent the last year investing significantly in building out a fit for purpose operating model, including building a new team and technology stack. Now we are ready to take our growth to the next level, and are looking for committed and talented individuals to drive that journey. + +Our team are aligned around a mission to become the number one growth partner for Gaming Companies Globally. We've made incredible progress against this mission and are excited for the forward opportunities! + +The data analytics team is a new team with CGD that is core to gaining a better understanding of Clarion's Gaming customers and enabling revenue growth. The types of analytics work include customer segmentation, predictive modelling, marketing campaign reporting and campaign optimisation. + +Key Responsibilities: + + +Develop and deliver comprehensive reporting solutions to key business areas including commercial, marketing, and customer service departments using PowerBI and SQL +Maintain high standards of data accuracy and quality by performing rigorous data validation and error-checking processes +Oversee the usage and performance of reports and dashboards, ensuring they meet the needs of internal stakeholders and remain up-to-date +Conduct statistical analysis to uncover insights, trends, and patterns in data, providing actionable recommendations to improve business decisions +Learn and apply key data visualization techniques to create insightful and easy-to-understand reports for various stakeholders +Work with the team to establish and implement data quality measurement and reporting frameworks to ensure data integrity across all reporting solutions +Continuously seek out new technologies and methodologies to innovate and optimize data management processes +Support the implementation of automation in reporting solutions to support the self-service adoption of analytics, enhancing efficiency and scalability + + + +Requirements + +Knowledge, Skills & Behaviours: + + +Previous experience with PowerBI, SQL, Excel and a background with advanced data manipulation and analysis tools (e.g., Python, R, Apache Spark) +Experience working with multiple business functions (e.g. sales, marketing, content, product teams) to deliver value from data analytics +A background within data analytics environment with a strong emphasis on customer and marketing related analytics +Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment +Innovative thinking with a proactive approach to identifying and solving data management challenges. +Strong analytical and problem-solving skills with meticulous attention to detail +Knowledge of data governance principles and practices +Ability to manage workload and prioritise accordingly. +A solid understanding of relevant data standards and regulations (HIPAA, GDPR, etc.) + + + +About Clarion Events + +Clarion Events is one of the world's leading event organisers, producing and delivering innovative and market-leading events since 1947. (https://clarionevents.com/welcome) + +Clarion Events embrace diversity and equal opportunities in all that we do. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. + +Clarion is private equity backed and owned by Blackstone. Blackstone is one of the world's leading global investment funds, investing capital for the long term in order to build successful, resilient businesses. (https://www.blackstone.com/) + +Our purpose is to deliver exceptional customer outcomes and experiences, by making every connection count. + +Our vision is we want every one of our products to be a market leader in customer satisfaction and delight. + +Benefits + + +25 days' holiday plus bank holidays +End of year wellbeing shutdown (closed for the last week of the year) +Celebration day off (e.g. birthday, Diwali, Eid, etc) +Summer Hours in August (3pm finish on Fridays) +Helping Our World (HOW) Days - one paid day per quarter to carry out charity work +Pension Scheme +Private Medical Insurance +Health Cash Plan +Wellbeing Library (MYNDUP) +Mentoring Programme +Subsidised Café +Season Ticket Loan +Cycle to Work Schemes +Free on-site gym and shower facilities +Free eyesight tests +Free flu vaccination - offered on site once a year for all employees +Show more ","
    + + + + + +
    +
    + At Clarion, our people are at the absolute heart of what we do. We're proud that our core values of PASSION, CARE, IMAGINATION, and TRUST define the way we carry out our work across all of our exhibitions and conferences.

    If you share our values and want to be a part of a successful, dynamic, and creative global business then we want to hear from you.

    The Opportunity:

    Clarion Gaming Digital are a market-leading media and marketing services provider. We work hand in hand with our Clarion Events team, who organise the largest B2B Global Gaming event, ICE London.

    Our leading digital media site, igamingbusiness.com, is the leading B2B website in the sector and we have exciting yet ambitious plans to scale our existing Gaming digital business model, and diversify into other digital media products within the B2B Gaming space.

    We have spent the last year investing significantly in building out a fit for purpose operating model, including building a new team and technology stack. Now we are ready to take our growth to the next level, and are looking for committed and talented individuals to drive that journey.

    Our team are aligned around a mission to become the number one growth partner for Gaming Companies Globally. We've made incredible progress against this mission and are excited for the forward opportunities!

    The data analytics team is a new team with CGD that is core to gaining a better understanding of Clarion's Gaming customers and enabling revenue growth. The types of analytics work include customer segmentation, predictive modelling, marketing campaign reporting and campaign optimisation.

    Key Responsibilities:

    • Develop and deliver comprehensive reporting solutions to key business areas including commercial, marketing, and customer service departments using PowerBI and SQL
    • Maintain high standards of data accuracy and quality by performing rigorous data validation and error-checking processes
    • Oversee the usage and performance of reports and dashboards, ensuring they meet the needs of internal stakeholders and remain up-to-date
    • Conduct statistical analysis to uncover insights, trends, and patterns in data, providing actionable recommendations to improve business decisions
    • Learn and apply key data visualization techniques to create insightful and easy-to-understand reports for various stakeholders
    • Work with the team to establish and implement data quality measurement and reporting frameworks to ensure data integrity across all reporting solutions
    • Continuously seek out new technologies and methodologies to innovate and optimize data management processes
    • Support the implementation of automation in reporting solutions to support the self-service adoption of analytics, enhancing efficiency and scalability


    Requirements

    Knowledge, Skills & Behaviours:

    • Previous experience with PowerBI, SQL, Excel and a background with advanced data manipulation and analysis tools (e.g., Python, R, Apache Spark)
    • Experience working with multiple business functions (e.g. sales, marketing, content, product teams) to deliver value from data analytics
    • A background within data analytics environment with a strong emphasis on customer and marketing related analytics
    • Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment
    • Innovative thinking with a proactive approach to identifying and solving data management challenges.
    • Strong analytical and problem-solving skills with meticulous attention to detail
    • Knowledge of data governance principles and practices
    • Ability to manage workload and prioritise accordingly.
    • A solid understanding of relevant data standards and regulations (HIPAA, GDPR, etc.)


    About Clarion Events

    Clarion Events is one of the world's leading event organisers, producing and delivering innovative and market-leading events since 1947. (https://clarionevents.com/welcome)

    Clarion Events embrace diversity and equal opportunities in all that we do. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

    Clarion is private equity backed and owned by Blackstone. Blackstone is one of the world's leading global investment funds, investing capital for the long term in order to build successful, resilient businesses. (https://www.blackstone.com/)

    Our purpose is to deliver exceptional customer outcomes and experiences, by making every connection count.

    Our vision is we want every one of our products to be a market leader in customer satisfaction and delight.

    Benefits

    • 25 days' holiday plus bank holidays
    • End of year wellbeing shutdown (closed for the last week of the year)
    • Celebration day off (e.g. birthday, Diwali, Eid, etc)
    • Summer Hours in August (3pm finish on Fridays)
    • Helping Our World (HOW) Days - one paid day per quarter to carry out charity work
    • Pension Scheme
    • Private Medical Insurance
    • Health Cash Plan
    • Wellbeing Library (MYNDUP)
    • Mentoring Programme
    • Subsidised Café
    • Season Ticket Loan
    • Cycle to Work Schemes
    • Free on-site gym and shower facilities
    • Free eyesight tests
    • Free flu vaccination - offered on site once a year for all employees
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +3973688254,https://uk.linkedin.com/jobs/view/data-analyst-digital-at-england-rugby-3973688254?position=44&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=Qzr4bji6ngpYdPGZKBiSXw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - Digital,England Rugby,"London Area, United Kingdom","Working at the RFU means being part of the ‘bigger picture’ at England Rugby: to be rooted in our purpose, which is to enrich lives, introduce more people to rugby union & develop the sport for future generations. If our purpose resonates with you, and you recognise the value that sport can bring to people’s lives, we’d love to work with you. An opportunity has arisen for a Digital Marketing Analyst (Web) to join the team on a permanent basis. + + + + +Job Title : Data Analyst - Digital + +Department : Marketing + +Reports to : Senior Customer Data Analytics Manager + +Job Level : Implement + +Location : Twickenham + +Employment Type : Permanent + + + + +Application Information: + +Please submit an anonymised CV and cover letter (i.e. please exclude personal details). +The closing date for applications is Friday 26th July at 5pm. +The RFU reserves the right to close this vacancy early if we receive sufficient applications. +Applications may be considered whilst this vacancy is advertised. + + + + +To download the full job description for this role, please click here. + + + + +Nature and Scope: + + + + +The RFU has been undergoing a period of significant change, responding to changes in the external environment whilst adjusting to the demands of a modern governing body. The organisation is currently one year into delivering an exciting strategic plan that hopes to have a transformational impact on Rugby Union. + + + + +As part of this strategic plan, the RFU has an ambition to become a data-driven, user-centric organisation with market leading digital capabilities that will not only transform the rugby experience for players, volunteers and fans today, but also future proof the RFU for years to come. + + + + +As part of a small Customer Data & Analytics team, you will play a key role in helping the RFU's Marketing & Digital Team transform the experience for our customers through analysis of marketing data and audiences. The role will enable growth for analysts with a digital first mindset and a passion for customer experience whilst contributing to the overall success of the RFU and England Rugby. + + + + +The role will analyse web data to identify patterns and trends in order to improve engagement and conversion. +The role will help to augment and improve the quality of data captured. +The role will support marketing campaigns and identify audience preferences. +The role will measure and assess marketing campaigns to provide insight. +This role will measure performance of web advertising. +This role will measure the performance of experiments (e.g. A/B) on the website in collaboration with the Digital Product Team. + + + + +What will you be doing? + + + + +Some key responsibilities include: + +Developing a comprehensive web analytics strategy to deliver the company's digital objectives from platform down to tagging. +Creating and maintaining a roadmap to deliver data quality and enhanced analytics capabilities. +Managing and optimize Google Tooling to ensure accurate data collection and reporting to track benefit realisation and support prioritisation decision-making. +Leading the effort to improve overall analytics effectiveness including segmentation opportunities and personalisation to drive engagement and advocacy. +Supporting the development of new ways to evaluate our digital assets and grow our commercial revenues through key websites. +Analysing web data to identify opportunity areas to optimise performance and improve the overall digital experience. +Creating and delivering regular reports on web performance to the wider business. +Acting as an ambassador for, and promoting the best interests of the RFU, including the promotion of the RFU core values. + + + + +Your approach to Life (your behaviours): + +You're a strategic thinker who is able to influence and drive change. +You have strong influencing and consensus building skills, and you're able to build sustaining relationships. +You're able to work collaboratively. +You are process driven and able to work well under pressure. +You're able to inspire confidence and create trust. +You possess sound judgement and the ability to think creatively to reach desired goals. + + + + +What you Know: + + + + +Essential: + +Demonstrable experience in a data analysis role or another quantitative field. +Expertise in Google Analytics 4(GA4) and Google Tag Manager (GTM) (GAIQ certified preferred). +Experience in go-to-market, configuring GA4 & GTM to measure success by defining tags, triggers, variables, data streams, events, and enhanced measurement features. +Experience with other web feedback capture tooling e.g. Hotjar, Optimizely. +Proficient with reporting tooling e.g. Looker / Tableau. +Good breadth of knowledge of digital analytics to make recommendations on tooling, best practices, and strategic approach. +Proficiency in debugging and troubleshooting Google analysis-related issues. +Experience with web analytics, A/B & MVT strategy and implementation requirements. +Knowledge of GDPR and other privacy around handling user data. +Effective communication and problem solving ensuring the right people are involved and updated. +Good understanding of software development practices and web/mobile technologies. +Committed to actively contributing to and building an inclusive culture in your role and day to day behaviours. + + + + +Desired: + +Experience with Salesforce and Marketing Cloud Intelligence (previously Datorama). +Experience with a Customer Data Platform. +Bachelor’s degree in a relevant field (e.g., Data Science, Business Analytics, Maths, Sciences). + + + + +Additional Information: + +We want you to have every opportunity to demonstrate your skills, ability and potential. If there is anything we could do to support you through your application or to provide the best environment for your interviews, including assistance or adjustment, please reach out to recruitment@rfu.com. +During your application, we will ask questions about your identity. This information is considered highly confidential and will not be seen by hiring managers. You can find out more about why we ask these questions here. + + + + +To download the full job description for this role, please click here. + +Show more ","
    + + + + + +
    +
    +

    Working at the RFU means being part of the ‘bigger picture’ at England Rugby: to be rooted in our purpose, which is to enrich lives, introduce more people to rugby union & develop the sport for future generations. If our purpose resonates with you, and you recognise the value that sport can bring to people’s lives, we’d love to work with you. An opportunity has arisen for a Digital Marketing Analyst (Web) to join the team on a permanent basis.


    Job Title : Data Analyst - Digital

    Department : Marketing

    Reports to : Senior Customer Data Analytics Manager

    Job Level : Implement

    Location : Twickenham

    Employment Type : Permanent


    Application Information:

    • Please submit an anonymised CV and cover letter (i.e. please exclude personal details).
    • The closing date for applications is Friday 26th July at 5pm.
    • The RFU reserves the right to close this vacancy early if we receive sufficient applications.
    • Applications may be considered whilst this vacancy is advertised.


    To download the full job description for this role, please click here.


    Nature and Scope:


    The RFU has been undergoing a period of significant change, responding to changes in the external environment whilst adjusting to the demands of a modern governing body. The organisation is currently one year into delivering an exciting strategic plan that hopes to have a transformational impact on Rugby Union.


    As part of this strategic plan, the RFU has an ambition to become a data-driven, user-centric organisation with market leading digital capabilities that will not only transform the rugby experience for players, volunteers and fans today, but also future proof the RFU for years to come.


    As part of a small Customer Data & Analytics team, you will play a key role in helping the RFU's Marketing & Digital Team transform the experience for our customers through analysis of marketing data and audiences. The role will enable growth for analysts with a digital first mindset and a passion for customer experience whilst contributing to the overall success of the RFU and England Rugby.


    • The role will analyse web data to identify patterns and trends in order to improve engagement and conversion.
    • The role will help to augment and improve the quality of data captured.
    • The role will support marketing campaigns and identify audience preferences.
    • The role will measure and assess marketing campaigns to provide insight.
    • This role will measure performance of web advertising.
    • This role will measure the performance of experiments (e.g. A/B) on the website in collaboration with the Digital Product Team.


    What will you be doing?


    Some key responsibilities include:

    • Developing a comprehensive web analytics strategy to deliver the company's digital objectives from platform down to tagging.
    • Creating and maintaining a roadmap to deliver data quality and enhanced analytics capabilities.
    • Managing and optimize Google Tooling to ensure accurate data collection and reporting to track benefit realisation and support prioritisation decision-making.
    • Leading the effort to improve overall analytics effectiveness including segmentation opportunities and personalisation to drive engagement and advocacy.
    • Supporting the development of new ways to evaluate our digital assets and grow our commercial revenues through key websites.
    • Analysing web data to identify opportunity areas to optimise performance and improve the overall digital experience.
    • Creating and delivering regular reports on web performance to the wider business.
    • Acting as an ambassador for, and promoting the best interests of the RFU, including the promotion of the RFU core values.


    Your approach to Life (your behaviours):

    • You're a strategic thinker who is able to influence and drive change.
    • You have strong influencing and consensus building skills, and you're able to build sustaining relationships.
    • You're able to work collaboratively.
    • You are process driven and able to work well under pressure.
    • You're able to inspire confidence and create trust.
    • You possess sound judgement and the ability to think creatively to reach desired goals.


    What you Know:


    Essential:

    • Demonstrable experience in a data analysis role or another quantitative field.
    • Expertise in Google Analytics 4(GA4) and Google Tag Manager (GTM) (GAIQ certified preferred).
    • Experience in go-to-market, configuring GA4 & GTM to measure success by defining tags, triggers, variables, data streams, events, and enhanced measurement features.
    • Experience with other web feedback capture tooling e.g. Hotjar, Optimizely.
    • Proficient with reporting tooling e.g. Looker / Tableau.
    • Good breadth of knowledge of digital analytics to make recommendations on tooling, best practices, and strategic approach.
    • Proficiency in debugging and troubleshooting Google analysis-related issues.
    • Experience with web analytics, A/B & MVT strategy and implementation requirements.
    • Knowledge of GDPR and other privacy around handling user data.
    • Effective communication and problem solving ensuring the right people are involved and updated.
    • Good understanding of software development practices and web/mobile technologies.
    • Committed to actively contributing to and building an inclusive culture in your role and day to day behaviours.


    Desired:

    • Experience with Salesforce and Marketing Cloud Intelligence (previously Datorama).
    • Experience with a Customer Data Platform.
    • Bachelor’s degree in a relevant field (e.g., Data Science, Business Analytics, Maths, Sciences).


    Additional Information:

    • We want you to have every opportunity to demonstrate your skills, ability and potential. If there is anything we could do to support you through your application or to provide the best environment for your interviews, including assistance or adjustment, please reach out to recruitment@rfu.com.
    • During your application, we will ask questions about your identity. This information is considered highly confidential and will not be seen by hiring managers. You can find out more about why we ask these questions here.


    To download the full job description for this role, please click here.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +4004411678,https://uk.linkedin.com/jobs/view/data-analyst-trainee-at-itonlinelearning-recruitment-4004411678?position=45&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=p7mFcV7%2FOh0dMbn5Mpe9Cg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst Trainee,ITonlinelearning Recruitment,"Twickenham, England, United Kingdom","Are you looking to benefit from a new career in Data Analysis? + +If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst + +We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. + +Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. + +Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. + +Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: + + +Junior Data Analyst - £30,000 +Data Analyst - £50,000 +Business Data Analyst - £67,500 +Data Analytics Analyst - £80,000 +Business Analysts - £60,000 + + +Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. + +The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. + +Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. + +Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. + +Step 1 - CompTIA Data+ Qualification + +The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. + +This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. + +Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. + +The course is provided online and comes complete with exam simulators and revision tools. + +You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. + +This qualification will set you on a route to becoming a data analyst. + +Step 2 - Data Administration Training + +Data is extracted using various method which are normally IT driven. + +Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. + + +Microsoft excel - to expert level. +Learn SQL - the programming language used for extracting data from more complex databases. +Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. +Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. + + +Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. + +Step 3 - Business Analysis Foundation + +Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. + +Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). + +Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. + +Step 4 - Recruitment Support + +Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. + +We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. + +Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. + +They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. + +Our money back guarantee + +If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. + +However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. + +Check our testimonials from the hundreds of candidates we have already helped. + +What Now? + +To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. + +Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations. +Show more ","
    + + + + + +
    +
    + Are you looking to benefit from a new career in Data Analysis?

    If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst

    We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.

    Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.

    Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.

    Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:

    • Junior Data Analyst - £30,000
    • Data Analyst - £50,000
    • Business Data Analyst - £67,500
    • Data Analytics Analyst - £80,000
    • Business Analysts - £60,000

    Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.

    The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.

    Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

    Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.

    Step 1 - CompTIA Data+ Qualification

    The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

    This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

    Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

    The course is provided online and comes complete with exam simulators and revision tools.

    You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

    This qualification will set you on a route to becoming a data analyst.

    Step 2 - Data Administration Training

    Data is extracted using various method which are normally IT driven.

    Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

    • Microsoft excel - to expert level.
    • Learn SQL - the programming language used for extracting data from more complex databases.
    • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
    • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

    Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.

    Step 3 - Business Analysis Foundation

    Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

    Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).

    Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.

    Step 4 - Recruitment Support

    Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.

    We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.

    Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.

    They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.

    Our money back guarantee

    If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

    However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

    Check our testimonials from the hundreds of candidates we have already helped.

    What Now?

    To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

    Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4008250928,https://uk.linkedin.com/jobs/view/data-analyst-at-malaberg-4008250928?position=46&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=GitpOdlw%2BA%2B0sHvf%2B%2FyrVA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Malaberg,"London Area, United Kingdom","We're hiring the very best data analysts to join our agile in-house team. You will be working on the fastest growing direct to consumer (e-commerce) brands and will have access to unlimited performance bonus. + + + + +What You'll Be Doing + + + + +Launch and optimize social, native and search advertising campaigns +Improve Conversion Rate across multiple funnels - multivariant and A/B testing +Design new funnels and analyse granular data using proprietary data warehouse +Manage unlimited budget while staying profitable. Compensation is directly correlated to your personal campaign performance and paid monthly +Optional managerial roles available + + + + +What You'll Need + + + + +Results-driven and numbers-oriented personality +High attention to detail +Flexibility and adaptability +Commitment to innovations + + + + +A little about us + + + + +We're passionate about building life changing consumer products and delivering them with astonishing service. We are also one of the UK's fastest growing direct to consumer companies. + + + + +The Benefits + + + + +Salary above market +All the latest tech you need +Pension plan +Show more ","
    + + + + + +
    +
    +

    We're hiring the very best data analysts to join our agile in-house team. You will be working on the fastest growing direct to consumer (e-commerce) brands and will have access to unlimited performance bonus.


    What You'll Be Doing


    • Launch and optimize social, native and search advertising campaigns
    • Improve Conversion Rate across multiple funnels - multivariant and A/B testing
    • Design new funnels and analyse granular data using proprietary data warehouse
    • Manage unlimited budget while staying profitable. Compensation is directly correlated to your personal campaign performance and paid monthly
    • Optional managerial roles available


    What You'll Need


    • Results-driven and numbers-oriented personality
    • High attention to detail
    • Flexibility and adaptability
    • Commitment to innovations


    A little about us


    We're passionate about building life changing consumer products and delivering them with astonishing service. We are also one of the UK's fastest growing direct to consumer companies.


    The Benefits


    • Salary above market
    • All the latest tech you need
    • Pension plan
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4005967256,https://uk.linkedin.com/jobs/view/insight-analyst-at-british-airways-4005967256?position=47&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=yosPOMqywI0WcaDNi088hw%3D%3D&trk=public_jobs_jserp-result_search-card,Insight Analyst,British Airways,"Hounslow, England, United Kingdom","As the nation’s flag carrier, we take great pride in connecting Britain with the world and the world with Britain. + +It’s something we’ve been doing for over 100 years, ever since we launched the world’s first international scheduled air service between London and Paris. + +This originality has been in our blood since day one. It’s the spirit we share with the people that fly with us, our partners, and our colleagues. + +So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. + +We know great things can happen when you’re inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. + +The role + +This role in the Distribution, Payments and Digital team within British Airways, aims to deliver insightful and actionable analysis to influence decision making within the Digital department and wider commercial team, with a key focus on driving revenue and customer experience improvements. It will look to provide a deep understanding of digital performance through the use of analytics + +What You’ll Do + + +Become an expert in BA Digital performance +Deliver accurate and timely analysis, interpret output and communicate clearly and effectively to drive business change +Proactively develop site performance analysis to deliver actionable recommendations +Responsible for Digital test and learn product development evaluation +Build effective working relationships with product owners +Support others in using Adobe Analytics +Shared responsibility for Adobe Analytics using Tag Management technology to ensure data integrity and standard methodology of digital performance analysis +Collaborate effectively within and across teams to drive business improvement. + + +What You Will Bring To The Team + + +Strong analytical skills: Highly numerate and able to generate and structure insight from complex and sometime disparate data. +Skilled in data cleansing, manipulation and extraction from multiple sources. +Proficient at interrogating and interpreting complex data, critically evaluating output and identifying actionable recommendations, considering the wider context and impact of alternative solutions. +Experienced in data visualisation techniques, identifying new and insightful ways to convey data and insights. +Excellent data storyteller who effectively communicates results and recommendations to stakeholders with varying levels of technical ability to drive action. +Strong customer awareness, commercially astute both strategically and analytically, with ability to see application of data insights to business problems. +Good stakeholder and portfolio management. +Numerate degree or proven numerical proficiency in a relevant role +Experienced in web analytics tools i.e. Adobe/Google and data exploitation: SQL and/or Python (desirable) + + +What We Offer + +We believe that all the people who work with us should feel valued for the part they play. It’s one of the reasons our rewards go far beyond a competitive salary. + +From the day you join us, you’ll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You’ll also receive up to 30 discounted ‘Hotline’ airfares per year for yourself, friends, and family. + +At British Airways you’ll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. + +We never stand still, and we don’t expect our people to either. + +Inclusion & Diversity + +At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. + +Inclusion and diversity is a key driver of innovation and we’re committed to creating a culture where everyone feels that they can be themselves. We’re looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain. +Show more ","
    + + + + + +
    +
    + As the nation’s flag carrier, we take great pride in connecting Britain with the world and the world with Britain.

    It’s something we’ve been doing for over 100 years, ever since we launched the world’s first international scheduled air service between London and Paris.

    This originality has been in our blood since day one. It’s the spirit we share with the people that fly with us, our partners, and our colleagues.

    So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make.

    We know great things can happen when you’re inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit.

    The role

    This role in the Distribution, Payments and Digital team within British Airways, aims to deliver insightful and actionable analysis to influence decision making within the Digital department and wider commercial team, with a key focus on driving revenue and customer experience improvements. It will look to provide a deep understanding of digital performance through the use of analytics

    What You’ll Do

    • Become an expert in BA Digital performance
    • Deliver accurate and timely analysis, interpret output and communicate clearly and effectively to drive business change
    • Proactively develop site performance analysis to deliver actionable recommendations
    • Responsible for Digital test and learn product development evaluation
    • Build effective working relationships with product owners
    • Support others in using Adobe Analytics
    • Shared responsibility for Adobe Analytics using Tag Management technology to ensure data integrity and standard methodology of digital performance analysis
    • Collaborate effectively within and across teams to drive business improvement.

    What You Will Bring To The Team

    • Strong analytical skills: Highly numerate and able to generate and structure insight from complex and sometime disparate data.
    • Skilled in data cleansing, manipulation and extraction from multiple sources.
    • Proficient at interrogating and interpreting complex data, critically evaluating output and identifying actionable recommendations, considering the wider context and impact of alternative solutions.
    • Experienced in data visualisation techniques, identifying new and insightful ways to convey data and insights.
    • Excellent data storyteller who effectively communicates results and recommendations to stakeholders with varying levels of technical ability to drive action.
    • Strong customer awareness, commercially astute both strategically and analytically, with ability to see application of data insights to business problems.
    • Good stakeholder and portfolio management.
    • Numerate degree or proven numerical proficiency in a relevant role
    • Experienced in web analytics tools i.e. Adobe/Google and data exploitation: SQL and/or Python (desirable)

    What We Offer

    We believe that all the people who work with us should feel valued for the part they play. It’s one of the reasons our rewards go far beyond a competitive salary.

    From the day you join us, you’ll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You’ll also receive up to 30 discounted ‘Hotline’ airfares per year for yourself, friends, and family.

    At British Airways you’ll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress.

    We never stand still, and we don’t expect our people to either.

    Inclusion & Diversity

    At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work.

    Inclusion and diversity is a key driver of innovation and we’re committed to creating a culture where everyone feels that they can be themselves. We’re looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3982203217,https://uk.linkedin.com/jobs/view/data-analyst-at-burns-sheehan-3982203217?position=48&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=3CCEp0B4lhUm7uxER6wLJw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Burns Sheehan,"London Area, United Kingdom","Data Analyst (SQL / PowerBI) | £40,000 - £50,000 | 4 Days / Per Week (West London) + + + + +Here at Burns Sheehan, we have partnered up with a well-established name in the UK market for over 20 years who have just been bought out by an experienced leader in the gambling industry as they look to invest heavily within growth and explore International Markets. + + + + +As a result, they are looking for a Data Analyst to join the team and report into the Head of Analytics as one of the 1st key hires in this initial growth phase. In this role you will be responsible for taking over the curation and development of a suite of Power BI reports, which are used across all areas of the business to help drive strategy and run the day to day mechanics of the organisation. + + + + +Skills and Qualifications: + + + + +Bachelor's or Master's degree in Physics, Computer Science, Mathematics or Similar... +2 + Years experience within Data Analysis +Proficient in SQL / T-SQL and PowerBI (Potentially Tableau) + + + + +With a two-decade presence in the UK, this company has a proven track record of success and customer loyalty this an amazing time to join as the companies goes from strength to strength. If you are a Data Analyst with excellent experience across both SQL and PowerBI feel free to apply and I will get back to you accordingly !!! + + + + +Data Analyst (SQL / PowerBI) | £40,000 - £50,000 | 4 Days / Per Week (West London) + +Show more ","
    + + + + + +
    +
    +

    Data Analyst (SQL / PowerBI) | £40,000 - £50,000 | 4 Days / Per Week (West London)


    Here at Burns Sheehan, we have partnered up with a well-established name in the UK market for over 20 years who have just been bought out by an experienced leader in the gambling industry as they look to invest heavily within growth and explore International Markets.


    As a result, they are looking for a Data Analyst to join the team and report into the Head of Analytics as one of the 1st key hires in this initial growth phase. In this role you will be responsible for taking over the curation and development of a suite of Power BI reports, which are used across all areas of the business to help drive strategy and run the day to day mechanics of the organisation.


    Skills and Qualifications:


    • Bachelor's or Master's degree in Physics, Computer Science, Mathematics or Similar...
    • 2 + Years experience within Data Analysis
    • Proficient in SQL / T-SQL and PowerBI (Potentially Tableau)


    With a two-decade presence in the UK, this company has a proven track record of success and customer loyalty this an amazing time to join as the companies goes from strength to strength. If you are a Data Analyst with excellent experience across both SQL and PowerBI feel free to apply and I will get back to you accordingly !!!


    Data Analyst (SQL / PowerBI) | £40,000 - £50,000 | 4 Days / Per Week (West London)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +3988232571,https://uk.linkedin.com/jobs/view/data-analyst-trainee-at-itonlinelearning-recruitment-3988232571?position=51&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=X1N6WZHYbOVbitGpDTq5GQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst Trainee,ITonlinelearning Recruitment,"Hounslow, England, United Kingdom","Are you looking to benefit from a new career in Data Analysis? + +If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst + +We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. + +Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. + +Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. + +Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: + + +Junior Data Analyst - £30,000 +Data Analyst - £50,000 +Business Data Analyst - £67,500 +Data Analytics Analyst - £80,000 +Business Analysts - £60,000 + + +Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. + +The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. + +Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. + +Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. + +Step 1 - CompTIA Data+ Qualification + +The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. + +This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. + +Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. + +The course is provided online and comes complete with exam simulators and revision tools. + +You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. + +This qualification will set you on a route to becoming a data analyst. + +Step 2 - Data Administration Training + +Data is extracted using various method which are normally IT driven. + +Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. + + +Microsoft excel - to expert level. +Learn SQL - the programming language used for extracting data from more complex databases. +Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. +Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. + + +Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. + +Step 3 - Business Analysis Foundation + +Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. + +Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). + +Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. + +Step 4 - Recruitment Support + +Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. + +We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. + +Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. + +They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. + +Our money back guarantee + +If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. + +However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. + +Check our testimonials from the hundreds of candidates we have already helped. + +What Now? + +To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. + +Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations. +Show more ","
    + + + + + +
    +
    + Are you looking to benefit from a new career in Data Analysis?

    If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst

    We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.

    Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.

    Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.

    Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:

    • Junior Data Analyst - £30,000
    • Data Analyst - £50,000
    • Business Data Analyst - £67,500
    • Data Analytics Analyst - £80,000
    • Business Analysts - £60,000

    Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.

    The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.

    Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

    Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.

    Step 1 - CompTIA Data+ Qualification

    The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

    This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

    Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

    The course is provided online and comes complete with exam simulators and revision tools.

    You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

    This qualification will set you on a route to becoming a data analyst.

    Step 2 - Data Administration Training

    Data is extracted using various method which are normally IT driven.

    Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

    • Microsoft excel - to expert level.
    • Learn SQL - the programming language used for extracting data from more complex databases.
    • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
    • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

    Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.

    Step 3 - Business Analysis Foundation

    Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

    Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).

    Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.

    Step 4 - Recruitment Support

    Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.

    We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.

    Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.

    They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.

    Our money back guarantee

    If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

    However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

    Check our testimonials from the hundreds of candidates we have already helped.

    What Now?

    To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

    Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +3991393204,https://uk.linkedin.com/jobs/view/data-analyst-at-harnham-3991393204?position=52&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=8nb9GUAE3vEuY2LY7GmYOA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Harnham,"Greater London, England, United Kingdom","Data Analyst- Junior Level + +SW London Office - Hybrid + +Up to £35,000 + +SQL PowerBI Excel + +Video Gaming Company + + + + +ROLE + +I am working with an exciting gaming company that is looking for a Data Analyst to support them on their campaign to become data-driven as a business. + + + + +SKILLS + +The successful candidate will have: + +-Experience across SQL, PowerBI, Excel + +-Strong Communication and Stakeholder Management + +-An interest in the video gaming industry + + + + +The successful candidate can expect a salary of £35,000 plus benefits. + + + + +HOW TO APPLY: + +Please register your interest in this Data Analyst role by applying via this website. For more information on this role or other roles in the Business Intelligence market, reach out to Kathryn Self at Harnham. + +Show more ","
    + + + + + +
    +
    +

    Data Analyst- Junior Level

    SW London Office - Hybrid

    Up to £35,000

    SQL PowerBI Excel

    Video Gaming Company


    ROLE

    I am working with an exciting gaming company that is looking for a Data Analyst to support them on their campaign to become data-driven as a business.


    SKILLS

    The successful candidate will have:

    -Experience across SQL, PowerBI, Excel

    -Strong Communication and Stakeholder Management

    -An interest in the video gaming industry


    The successful candidate can expect a salary of £35,000 plus benefits.


    HOW TO APPLY:

    Please register your interest in this Data Analyst role by applying via this website. For more information on this role or other roles in the Business Intelligence market, reach out to Kathryn Self at Harnham.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +4006205927,https://uk.linkedin.com/jobs/view/data-analyst-at-match-digital-4006205927?position=53&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=2nDHG8RoUvKtNroPQqO%2F4Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Match Digital,"London Area, United Kingdom","Data Analyst + +£35,000 - £40,000 + 10% bonus + benefits + +London (2 days per week in the office) + + + + +Our client + + + + +Our client is a global strategic technology and payments partner. They deliver seamless personalised shopping experiences to over 29m international shoppers, who in turn generate €22.9bn revenue. + + + + +With 2,000 employees spread across 50 countries, they integrate with 300,000 point of sale systems in a number of luxury retailers and brands including Harrods, Selfridges, John Lewis, Liberty’s, Apple, Cartier, De Beers, Hermès, Rolex, Dior and Jimmy Choo. + + + + +Their products include tax-free shopping, smart data and intelligence, marketing and sales, POS technology and payment solutions. + + + + +The role + + + + +The Data Analyst will help the business to understand customer needs and behaviours through the analysis of complex data sets and subsequent translation into meaningful, shareable insights and stories. + + + + +This role will be hands on with building visualisations in Tableau and ad hoc analysis (using SQL) to inform the optimisation of products and features. + + + + +As a Data Analyst, you will: + + + + +Monitor and report on key KPIs. +Deep-dive (using SQL) into customer data to provide product teams with detailed customer analysis. +Be hands-on with building visualisations in Tableau. +Identify data requirements, working with international data teams to ensure data is cleansed and prepared. +Support with the identification of new and innovative ways to leverage data to deliver new customer engagement opportunities, optimise channels and deliver economic efficiency. +Deliver enhanced customer profiling and segmentation. +Measure the effectiveness of customer-facing products, features and campaigns. +Provide ad-hoc analysis to inform the optimisation of customer-facing products, features and campaigns. +Advise on how advanced statistical and analytical techniques can further improve the understanding of customers. + + + + +To apply, you should have + + + + +Experience working as a Data Analyst with good exposure to statistical methodologies. +Intermediate SQL skills. +Advanced experience with Tableau (or a similar tool). +Advanced Excel skills. +Proven experience delivering impactful and actionable insights with a B2C environment. + + + + +The perks include + + + + +25 days holiday + bank holidays. +An extra day off for moving to a new house; 2 days off for your wedding; 3 days off for charity / community days. +Private healthcare and medical cashback plan. +Perkbox. +Competitive pension plan. +Virgin gym membership. + +Match Digital specialises in connecting talented individuals with businesses in the digital, tech, media and marcomms industries. + +Show more ","
    + + + + + +
    +
    +

    Data Analyst

    £35,000 - £40,000 + 10% bonus + benefits

    London (2 days per week in the office)


    Our client


    Our client is a global strategic technology and payments partner. They deliver seamless personalised shopping experiences to over 29m international shoppers, who in turn generate €22.9bn revenue.


    With 2,000 employees spread across 50 countries, they integrate with 300,000 point of sale systems in a number of luxury retailers and brands including Harrods, Selfridges, John Lewis, Liberty’s, Apple, Cartier, De Beers, Hermès, Rolex, Dior and Jimmy Choo.


    Their products include tax-free shopping, smart data and intelligence, marketing and sales, POS technology and payment solutions.


    The role


    The Data Analyst will help the business to understand customer needs and behaviours through the analysis of complex data sets and subsequent translation into meaningful, shareable insights and stories.


    This role will be hands on with building visualisations in Tableau and ad hoc analysis (using SQL) to inform the optimisation of products and features.


    As a Data Analyst, you will:


    • Monitor and report on key KPIs.
    • Deep-dive (using SQL) into customer data to provide product teams with detailed customer analysis.
    • Be hands-on with building visualisations in Tableau.
    • Identify data requirements, working with international data teams to ensure data is cleansed and prepared.
    • Support with the identification of new and innovative ways to leverage data to deliver new customer engagement opportunities, optimise channels and deliver economic efficiency.
    • Deliver enhanced customer profiling and segmentation.
    • Measure the effectiveness of customer-facing products, features and campaigns.
    • Provide ad-hoc analysis to inform the optimisation of customer-facing products, features and campaigns.
    • Advise on how advanced statistical and analytical techniques can further improve the understanding of customers.


    To apply, you should have


    • Experience working as a Data Analyst with good exposure to statistical methodologies.
    • Intermediate SQL skills.
    • Advanced experience with Tableau (or a similar tool).
    • Advanced Excel skills.
    • Proven experience delivering impactful and actionable insights with a B2C environment.


    The perks include


    • 25 days holiday + bank holidays.
    • An extra day off for moving to a new house; 2 days off for your wedding; 3 days off for charity / community days.
    • Private healthcare and medical cashback plan.
    • Perkbox.
    • Competitive pension plan.
    • Virgin gym membership.

    Match Digital specialises in connecting talented individuals with businesses in the digital, tech, media and marcomms industries.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4006447326,https://uk.linkedin.com/jobs/view/bi-data-analyst-at-so-energy-4006447326?position=56&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=dcbQ6BbQOWGMj02nLh7Ssw%3D%3D&trk=public_jobs_jserp-result_search-card,BI Data Analyst,So Energy,"London, England, United Kingdom","So Energy – BI Data Analyst + +🌍 UK, Hybrid + +🌱 Job Level: Mid-Senior + +Please note we are not able to facilitate Visa or Relocation Sponsorship at present or in the future and therefore can only accept UK based applications from candidates who are able to commute to HQ in London, Chiswick 1-2 times per week. + +Our Perks + +Values-driven culture – we’re really proud of our culture. + +Drive Your Own Experience + + +Personalised Learning and Development Budget +Hybrid working hours – Each team has their own Smart Working Charter that empowers you to do your work in the best way you can +Technology – Your choice of Mac or Windows + + +Empowering you to be your most authentic self + + +25 Holiday Days + your local bank holidays +1 Birthday day – it only happens once a year! +3 So Giving Days - spend these days giving back to your chosen cause +Religious Celebrations Leave +Mental Healthcare – Sessions with Unmind +Enhanced Family Leave + + +So Energy + +So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we’ve grown rapidly but sustainably, with 350,000 customers and over 450 Energists (what we call our people). We’re not done yet. We are on the road to a net zero future, and thanks to our partnership with ESB, we’re well on the way. We’re customer-centric, tech-led, and passionate about sustainability. + +We want to do the best we can for our customers, each other, and our planet, so we’ve created a workplace that's encouraging, supportive, and offers the opportunity for growth. As a company, we live by six core values that guide everything we do: + + +Clear +Honest +Ambitious +Inquisitive +Caring +Sustainable + + +The Role + +BI Data Analyst at SO ENERGY + +Reporting into Nethin Maharaj, our Business Intelligence Manager here at So Energy 👋, we are seeking an experienced and highly skilled BI Data Analyst to join our data analytics team. As a BI Data Analyst at So Energy you will play a pivotal role in leveraging data to drive strategic decisions and solve complex challenges for the business. + +We are looking for a candidate with advanced SQL and Python skills who has a track record of successfully delivering analytical insights to the business. + +If you are passionate about transforming data into actionable insights and possess excellent soft skills to engage with stakeholders, we invite you to apply and become a key member of our dynamic team. + +As So Energy’s Business Intelligence Data Analyst, you will be responsible for supporting the business in our data-driven focus on growth and efficiency. Within this role, you will be identifying reporting and data opportunities, analysing trends, and presenting back insights with potential solutions to solve some of the key business challenges. Our solutions are primarily built on the Google Cloud stack, of which Looker is our main BI reporting tool. This will require you to be adept to working on Looker with other BI tools being an added advantage. + +What you’ll be getting up to: + + +Gather and document requirements in a way that allows us to design well suited dashboards and reports. +Translate requirements to technical solutions +Analyse data to identify trends and patterns - Interrogate and curate the quality, consistency and completeness of data to ensure that the quality of insights are complete and relevant. +Script data transformation and business rules in SQL. +Research new data sources which will add value into the reporting that you will be delivering. +Support the business in ad-hoc data analysis and data supply covering auditing, marketing campaigns and customer segmentation. +Design reporting tables which facilitate the delivery of dashboards and insights - Build dashboards and reports in Google Looker. +Dashboard design should follow intuitive data flow and presentation for easier end-user consumption and decision making. +Input and guide on new standards to improve the performance of our Looker environment using LookML and improve the landscape of reporting and insights to the business. +Perform data reconciliation tasks to ensure that new reporting outputs are aligned or of better accuracy than existing reports. +Write quality technical documentation of SQL coding as well as dashboards delivered. +Contribute as part of an agile team with sprint planning sessions and daily stand ups. +Communicate status, blockers, and progress in a clear and concise manner. + + +This role will be a great fit if you have: + + +You will need to be a detailed orientated individual who has a passion for analysing data. +You will work closely with our Data Engineering team to build reporting friendly structures. +A key attention to detail will be required in the reviewing and validating of data as part of your data delivery process. +You should have experience in end user engagement on requirements elicitation and the ability to identify stakeholder problems that can be solved through data. +Proven hands-on experience with Google Looker including building and maintaining a high performant semantic layer in LookML and creating insightful and actionable dashboards for end users. +You should be comfortable with communicating insights to senior management and across the organisation. +Provide technical support to other teams within the organisation as required - You should have a strong SQL background with a deep understanding of how to use SQL and interrogate data in the context of business objectives. +Be a team player, contributing towards the upliftment of our overall BI capability and supporting junior team members produce higher quality outputs. + + +Research shows that some people are less likely to apply for a role unless they are 100% qualified. Your experience, skills and passion will set you apart so tell us about your achievements, irrespective of whether they are personal or work-related, tell us about your journey, and about what you learnt. + +So, if this role excites you, don’t let our role description hold you back, get applying! + +Hiring Process: + + +Talent Screen – (30 minutes) Rebecca +HM Screening + Stakeholder Management - (60 minutes) Nethin + Holly +Take Home Task (candidate) +Final Stage Leadership – Present Take Home (45 minutes) MK + Nethin + + +Support – If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best – please let us know so we can talk about how we can best support you and make any adjustments that may be needed. + +Our Values + +We look for people who share our values and can add to our culture. Values are shared beliefs that guide our decision-making, culture is how we function as a group and how we live our values as individuals. + +Clear - The energy industry can be pretty complex so we strive to provide clear communication to our customers and colleagues + +Honest - Transparency is key, Whether that's providing clear bills to our customers or trusting our staff to do the right thing. + +Ambitious - All of us are ambitious about the future of So Energy and what we can contribute to it. + +Inquisitive - We are also questioning the Status Quo to see if there is a better way to do things for our customers + +Caring - We care about the work we are doing, our customers and our colleagues + +Sustainable - As a renewable energy company we are providing sustainable products but we also care about sustainable careers. That's why learning and continuous development is so important to us. + +Diversity, Equity, Inclusion & Belonging + +At So Energy, we’re committed to cultivating an environment that promotes diversity, equity, inclusion and belonging. We are a global community and we believe our unique qualities should be celebrated as they are critical to our innovation. It’s essential to us that you bring your authentic self to work every single day, no matter your age, ethnicity, religion, citizenship, gender identity, sexual orientation, disability status, caring responsibilities, neurodiversity, or otherwise. Inclusion isn’t just an initiative at So Energy. We strive to embed it not just into our values but throughout our entire culture. +Show more ","
    + + + + + +
    +
    + So Energy – BI Data Analyst

    🌍 UK, Hybrid

    🌱 Job Level: Mid-Senior

    Please note we are not able to facilitate Visa or Relocation Sponsorship at present or in the future and therefore can only accept UK based applications from candidates who are able to commute to HQ in London, Chiswick 1-2 times per week.

    Our Perks

    Values-driven culture – we’re really proud of our culture.

    Drive Your Own Experience

    • Personalised Learning and Development Budget
    • Hybrid working hours – Each team has their own Smart Working Charter that empowers you to do your work in the best way you can
    • Technology – Your choice of Mac or Windows

    Empowering you to be your most authentic self

    • 25 Holiday Days + your local bank holidays
    • 1 Birthday day – it only happens once a year!
    • 3 So Giving Days - spend these days giving back to your chosen cause
    • Religious Celebrations Leave
    • Mental Healthcare – Sessions with Unmind
    • Enhanced Family Leave

    So Energy

    So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we’ve grown rapidly but sustainably, with 350,000 customers and over 450 Energists (what we call our people). We’re not done yet. We are on the road to a net zero future, and thanks to our partnership with ESB, we’re well on the way. We’re customer-centric, tech-led, and passionate about sustainability.

    We want to do the best we can for our customers, each other, and our planet, so we’ve created a workplace that's encouraging, supportive, and offers the opportunity for growth. As a company, we live by six core values that guide everything we do:

    • Clear
    • Honest
    • Ambitious
    • Inquisitive
    • Caring
    • Sustainable

    The Role

    BI Data Analyst at SO ENERGY

    Reporting into Nethin Maharaj, our Business Intelligence Manager here at So Energy 👋, we are seeking an experienced and highly skilled BI Data Analyst to join our data analytics team. As a BI Data Analyst at So Energy you will play a pivotal role in leveraging data to drive strategic decisions and solve complex challenges for the business.

    We are looking for a candidate with advanced SQL and Python skills who has a track record of successfully delivering analytical insights to the business.

    If you are passionate about transforming data into actionable insights and possess excellent soft skills to engage with stakeholders, we invite you to apply and become a key member of our dynamic team.

    As So Energy’s Business Intelligence Data Analyst, you will be responsible for supporting the business in our data-driven focus on growth and efficiency. Within this role, you will be identifying reporting and data opportunities, analysing trends, and presenting back insights with potential solutions to solve some of the key business challenges. Our solutions are primarily built on the Google Cloud stack, of which Looker is our main BI reporting tool. This will require you to be adept to working on Looker with other BI tools being an added advantage.

    What you’ll be getting up to:

    • Gather and document requirements in a way that allows us to design well suited dashboards and reports.
    • Translate requirements to technical solutions
    • Analyse data to identify trends and patterns - Interrogate and curate the quality, consistency and completeness of data to ensure that the quality of insights are complete and relevant.
    • Script data transformation and business rules in SQL.
    • Research new data sources which will add value into the reporting that you will be delivering.
    • Support the business in ad-hoc data analysis and data supply covering auditing, marketing campaigns and customer segmentation.
    • Design reporting tables which facilitate the delivery of dashboards and insights - Build dashboards and reports in Google Looker.
    • Dashboard design should follow intuitive data flow and presentation for easier end-user consumption and decision making.
    • Input and guide on new standards to improve the performance of our Looker environment using LookML and improve the landscape of reporting and insights to the business.
    • Perform data reconciliation tasks to ensure that new reporting outputs are aligned or of better accuracy than existing reports.
    • Write quality technical documentation of SQL coding as well as dashboards delivered.
    • Contribute as part of an agile team with sprint planning sessions and daily stand ups.
    • Communicate status, blockers, and progress in a clear and concise manner.

    This role will be a great fit if you have:

    • You will need to be a detailed orientated individual who has a passion for analysing data.
    • You will work closely with our Data Engineering team to build reporting friendly structures.
    • A key attention to detail will be required in the reviewing and validating of data as part of your data delivery process.
    • You should have experience in end user engagement on requirements elicitation and the ability to identify stakeholder problems that can be solved through data.
    • Proven hands-on experience with Google Looker including building and maintaining a high performant semantic layer in LookML and creating insightful and actionable dashboards for end users.
    • You should be comfortable with communicating insights to senior management and across the organisation.
    • Provide technical support to other teams within the organisation as required - You should have a strong SQL background with a deep understanding of how to use SQL and interrogate data in the context of business objectives.
    • Be a team player, contributing towards the upliftment of our overall BI capability and supporting junior team members produce higher quality outputs.

    Research shows that some people are less likely to apply for a role unless they are 100% qualified. Your experience, skills and passion will set you apart so tell us about your achievements, irrespective of whether they are personal or work-related, tell us about your journey, and about what you learnt.

    So, if this role excites you, don’t let our role description hold you back, get applying!

    Hiring Process:

    • Talent Screen – (30 minutes) Rebecca
    • HM Screening + Stakeholder Management - (60 minutes) Nethin + Holly
    • Take Home Task (candidate)
    • Final Stage Leadership – Present Take Home (45 minutes) MK + Nethin

    Support – If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best – please let us know so we can talk about how we can best support you and make any adjustments that may be needed.

    Our Values

    We look for people who share our values and can add to our culture. Values are shared beliefs that guide our decision-making, culture is how we function as a group and how we live our values as individuals.

    Clear - The energy industry can be pretty complex so we strive to provide clear communication to our customers and colleagues

    Honest - Transparency is key, Whether that's providing clear bills to our customers or trusting our staff to do the right thing.

    Ambitious - All of us are ambitious about the future of So Energy and what we can contribute to it.

    Inquisitive - We are also questioning the Status Quo to see if there is a better way to do things for our customers

    Caring - We care about the work we are doing, our customers and our colleagues

    Sustainable - As a renewable energy company we are providing sustainable products but we also care about sustainable careers. That's why learning and continuous development is so important to us.

    Diversity, Equity, Inclusion & Belonging

    At So Energy, we’re committed to cultivating an environment that promotes diversity, equity, inclusion and belonging. We are a global community and we believe our unique qualities should be celebrated as they are critical to our innovation. It’s essential to us that you bring your authentic self to work every single day, no matter your age, ethnicity, religion, citizenship, gender identity, sexual orientation, disability status, caring responsibilities, neurodiversity, or otherwise. Inclusion isn’t just an initiative at So Energy. We strive to embed it not just into our values but throughout our entire culture. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4004286641,https://uk.linkedin.com/jobs/view/social-data-analyst-at-silverdrum-4004286641?position=57&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=KJ35GixO%2F2tLXJ7Lese1sQ%3D%3D&trk=public_jobs_jserp-result_search-card,Social Data Analyst,Silverdrum,"London Area, United Kingdom","Social Data Analyst role at a fast-growing independent performance / paid social agency. + + + + + + + +Salary to £38,000 + bonus. Based Central London (2 days required in office per week). + + + + + + + +Summary + +This role has huge growth potential – potentially to grow the team and manage a small department in years to come +Across a range of clients with a big B2C brand focus +You will ideally have experience with Looker (or similar) and be super-interested in social analytics and presenting data in clear, translatable ways for clients +Focus is paid social but also keen to expand on organic social analytics + + + + + + + +As a Data Analyst, you'll contribute to the agencies growth by diving deep into data from platforms like Google, Meta, and TikTok to unearth insights that shape our campaigns. + + + + + + + +The business has ambitious growth targets and are looking to organically grow to double in size by 2026. They have an inclusive working environment where team togetherness is promoted, including team lunches and Thursday night social’s. + + + + + + + +Key Responsibilities: + + + + +Data Integration - Integrate data from multiple sources using Funnel, ensuring accuracy and accessibility for analysis. + +Report Creation - Create and maintain Looker Studio reports for daily decision-making, continuously improving their accuracy and usefulness. + +Experimentation - Run structured experiments, identify testing opportunities, implement them, manage rewards, and communicate results. + +Data Analysis - Conduct incrementality studies, analyze trends using spreadsheets and Python notebooks, and provide detailed insights. + +Tracking - Audit tracking setups, build tracking maps, and help clients troubleshoot tracking issues. + + + + + + + +What We Need from You: + + + + +3+ years’ experience within a social / data analyst role +Proficiency in using spreadsheets for daily tasks. +Strong data analysis skills to surface insights and present them clearly. +Excellent communication skills for presenting findings. +B2C client experience +Attention to detail to ensure accuracy and reliability in data handling. +Knowledge of marketing data and its complexities. +Experience with SQL, JavaScript, or Python is highly desirable. +Familiarity with Google Tag Manager, Meta Pixel, Google Analytics, and paid media management tools. +Experience running A/B tests and reporting findings. +Interest in AI trends and technologies for measuring metrics in social media. + +Show more ","
    + + + + + +
    +
    +

    Social Data Analyst role at a fast-growing independent performance / paid social agency.



    Salary to £38,000 + bonus. Based Central London (2 days required in office per week).



    Summary

    • This role has huge growth potential – potentially to grow the team and manage a small department in years to come
    • Across a range of clients with a big B2C brand focus
    • You will ideally have experience with Looker (or similar) and be super-interested in social analytics and presenting data in clear, translatable ways for clients
    • Focus is paid social but also keen to expand on organic social analytics



    As a Data Analyst, you'll contribute to the agencies growth by diving deep into data from platforms like Google, Meta, and TikTok to unearth insights that shape our campaigns.



    The business has ambitious growth targets and are looking to organically grow to double in size by 2026. They have an inclusive working environment where team togetherness is promoted, including team lunches and Thursday night social’s.



    Key Responsibilities:


    Data Integration - Integrate data from multiple sources using Funnel, ensuring accuracy and accessibility for analysis.

    Report Creation - Create and maintain Looker Studio reports for daily decision-making, continuously improving their accuracy and usefulness.

    Experimentation - Run structured experiments, identify testing opportunities, implement them, manage rewards, and communicate results.

    Data Analysis - Conduct incrementality studies, analyze trends using spreadsheets and Python notebooks, and provide detailed insights.

    Tracking - Audit tracking setups, build tracking maps, and help clients troubleshoot tracking issues.



    What We Need from You:


    • 3+ years’ experience within a social / data analyst role
    • Proficiency in using spreadsheets for daily tasks.
    • Strong data analysis skills to surface insights and present them clearly.
    • Excellent communication skills for presenting findings.
    • B2C client experience
    • Attention to detail to ensure accuracy and reliability in data handling.
    • Knowledge of marketing data and its complexities.
    • Experience with SQL, JavaScript, or Python is highly desirable.
    • Familiarity with Google Tag Manager, Meta Pixel, Google Analytics, and paid media management tools.
    • Experience running A/B tests and reporting findings.
    • Interest in AI trends and technologies for measuring metrics in social media.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3992978246,https://uk.linkedin.com/jobs/view/data-analyst-trainee-at-itonlinelearning-recruitment-3992978246?position=58&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=O0ZPcetjswJuEGh%2FOEioJQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst Trainee,ITonlinelearning Recruitment,"Romford, England, United Kingdom","Are you looking to benefit from a new career in Data Analysis? + +If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst + +We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. + +Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. + +Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. + +Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: + + +Junior Data Analyst - £30,000 +Data Analyst - £50,000 +Business Data Analyst - £67,500 +Data Analytics Analyst - £80,000 +Business Analysts - £60,000 + + +Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. + +The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. + +Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. + +Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. + +Step 1 - CompTIA Data+ Qualification + +The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. + +This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. + +Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. + +The course is provided online and comes complete with exam simulators and revision tools. + +You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. + +This qualification will set you on a route to becoming a data analyst. + +Step 2 - Data Administration Training + +Data is extracted using various method which are normally IT driven. + +Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. + + +Microsoft excel - to expert level. +Learn SQL - the programming language used for extracting data from more complex databases. +Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. +Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. + + +Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. + +Step 3 - Business Analysis Foundation + +Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. + +Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). + +Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. + +Step 4 - Recruitment Support + +Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. + +We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. + +Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. + +They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. + +Our money back guarantee + +If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. + +However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. + +Check our testimonials from the hundreds of candidates we have already helped. + +What Now? + +To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. + +Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations. +Show more ","
    + + + + + +
    +
    + Are you looking to benefit from a new career in Data Analysis?

    If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst

    We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.

    Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.

    Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.

    Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:

    • Junior Data Analyst - £30,000
    • Data Analyst - £50,000
    • Business Data Analyst - £67,500
    • Data Analytics Analyst - £80,000
    • Business Analysts - £60,000

    Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.

    The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.

    Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

    Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.

    Step 1 - CompTIA Data+ Qualification

    The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

    This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

    Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

    The course is provided online and comes complete with exam simulators and revision tools.

    You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

    This qualification will set you on a route to becoming a data analyst.

    Step 2 - Data Administration Training

    Data is extracted using various method which are normally IT driven.

    Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

    • Microsoft excel - to expert level.
    • Learn SQL - the programming language used for extracting data from more complex databases.
    • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
    • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

    Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.

    Step 3 - Business Analysis Foundation

    Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

    Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).

    Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.

    Step 4 - Recruitment Support

    Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.

    We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.

    Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.

    They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.

    Our money back guarantee

    If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

    However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

    Check our testimonials from the hundreds of candidates we have already helped.

    What Now?

    To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

    Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +4002967084,https://uk.linkedin.com/jobs/view/data-analyst-at-creative-artists-agency-4002967084?position=59&pageNum=0&refId=y%2BYwxJ4BokjoR2qfviZPtw%3D%3D&trackingId=81k%2Fr3YbfcCgYie5eZHxEg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Creative Artists Agency,"London, England, United Kingdom","Job Description + +THE AGENCY + +Creative Artists Agency (CAA) is the leading entertainment and sports agency, with global expertise in filmed and live entertainment, digital media, publishing, sponsorship sales and endorsements, media finance, consumer investing, fashion, trademark licensing, and philanthropy. Distinguished by its culture of collaboration and exceptional client service, CAA’s diverse workforce identifies, innovates, and amplifies opportunities for the people and organisations that shape culture and inspire the world. The trailblazer of the agency business, CAA was the first to build a sports business, create an investment bank, launch a venture fund, found technology start-up companies, establish a philanthropic arm, build a business in China, and form a brand marketing services division, among other innovations. + +Named Most Valuable Sports Agency by Forbes for nine consecutive years, CAA represents more than 3,000 of the world’s top athletes in football, baseball, basketball, hockey, and soccer, in addition to coaches, on-air broadcasters, and sports personalities and works in the areas of broadcast rights, corporate marketing initiatives, social impact, executive search, and sports properties for sales and sponsorship opportunities. Founded in 1975, CAA is headquartered in Los Angeles, and has offices in New York, Nashville, Memphis, Chicago, Miami, London, Munich, Geneva, Stockholm, Shanghai, and Beijing, among other locations globally. + +Overview + +Are you passionate about entertainment, brands, music, sports, and analytics? Have a natural aptitude toward storytelling through data? Join our growing data team as we provide advanced data solutions and strategic analysis to enhance the creation of opportunities for world-class clients across Film, TV, Music, Sports, Digital Media, and beyond. + +CAA has an opening for an Analyst on our Data Insights team. In this role, you will be a member of a highly motivated and collaborative team responsible for providing actionable insights to business unit stakeholders (Agents Executives, and client management teams) using cutting-edge data and analytical tools. + +Your role is to provide data that is accurate, congruent, contextualised and actionable to ensure information is easily available to users for direct consumption. In collaboration with the team, you will help educate and train internal stakeholders to explore and understand information in new ways, generating compelling insights that inform and support effective decision-making and client servicing. It will be essential, and a success criterion, that you build an understanding of the business at a level of detail that enables you to identify and address critical issues and opportunities. + +This position will work in CAA’s London Office during typical business hours. Flexibility is expected as the Data Insights team is predominately based in CAA’s Los Angeles office. Communication across time-zones will be required as you be reporting to a manager based in the Los Angeles, CA office. Occasional travel, including company meetings and events, is also expected. + +Main Responsibilities to include, but limited to: + + +Collaborate closely with senior analysts on the team to derive strategic and actionable insights from various sources to garner audience and marketplace intelligence on clients across all departments (Film, TV, Music, Sports, Brands, Consumer Products, etc.), with a special focus on Music, Comedy and Sports. +Participate in translating findings into digestible and visually intuitive outputs through compelling analysis and storytelling to Agents, Executives, and client teams. +Assist with data vendor relationships to respond to the changing information needs of the business. +Leverage proprietary & third-party analytics tools to demonstrate the popularity, value, and impact of our client’s work and/or their related businesses. +Provide analyses on brand, category, and consumer trends to uncover opportunities in support of CAA’s brand and brand-building groups. +Act as a liaison between data teams and business stakeholders (CAA Agents and Executives) to gather and organise requirements for the design of optimal data solutions and internal platforms. +In coordination with the data group, participate in workstream planning processes including gathering requirements, testing, delivery, and training of new analytics features. +Balance numerous projects across different departments and sustain open communication with the team/stakeholders to ensure deadlines are met. +Assist with training and adoption of CAA’s internal analytics platforms, including conducting company-wide, departmental, and one-on-one training sessions; maintaining documentation and training guides; and championing CAA’s data products. +Collaborate effectively across all areas of the Data Team (Data Analytics, Data Science, Data Management, Data Engineering, etc.) + + + +Qualifications/Requirements + + +Bachelor's Degree in Business, marketing, computer science, information systems, or specialised training/certification in a related field is preferred. +Four or more years of experience as an Analyst or similar role at an entertainment agency, consumer brand, market research agency, ad agency, or related company preferred. +Excellent interpersonal and written communication skills; highly collaborative and inclusive team player while also being a self-starter. +Highly detail-oriented and well-organised; able to work in a fast-paced environment, manage multiple tasks/deadlines at once and can easily adapt to change. +Strong passion for and knowledge of cultural and industry trends that affect brands and consumers. Preference for a passion in the live entertainment space (music, comedy and sports) +Understanding of the entertainment, social media and digital landscape including consumer & platform trends, audience measurement & metrics, monetisation strategies, etc. +Experience mining and analysing data from social listening, digital analytics, and consumer/market research tools (e.g., Meltwater, NetBase, Helixa, Nielsen, MRI/Simmons, Google Analytics, E-Poll, etc.). +Avid user and fluency with social media platforms (e.g., Instagram, TikTok, YouTube, Twitter, and Facebook). +Experience working in Microsoft Excel and can create beautiful client-facing PowerPoint presentations. +Experience working with data to solve business problems, i.e., generate and communicate actionable insights to business users. +Committed to the data education of stakeholders, sharing of information, and empowerment through data. +Experience with modern Data Visualisation tools (e.g., Power Bl, Tableau, Qlik) preferred. + + + +Please ensure you provide complete and legible information in your application. An incomplete application may affect your consideration for employment. + +Creative Artists Agency (“CAA”) is committed to promoting equal opportunities in employment and creating a workplace culture in which diversity and inclusion is valued and everyone is treated with dignity and respect. As part of our zero-tolerance approach to discrimination in any form, you and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation, or any other legally recognised protected basis under UK law. + +Please inform CAA’s Recruitment Department if you need any assistance completing any forms or to otherwise participate in the application process. + +CAA does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by CAA to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that CAA will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. +Show more ","
    + + + + + +
    +
    + Job Description

    THE AGENCY

    Creative Artists Agency (CAA) is the leading entertainment and sports agency, with global expertise in filmed and live entertainment, digital media, publishing, sponsorship sales and endorsements, media finance, consumer investing, fashion, trademark licensing, and philanthropy. Distinguished by its culture of collaboration and exceptional client service, CAA’s diverse workforce identifies, innovates, and amplifies opportunities for the people and organisations that shape culture and inspire the world. The trailblazer of the agency business, CAA was the first to build a sports business, create an investment bank, launch a venture fund, found technology start-up companies, establish a philanthropic arm, build a business in China, and form a brand marketing services division, among other innovations.

    Named Most Valuable Sports Agency by Forbes for nine consecutive years, CAA represents more than 3,000 of the world’s top athletes in football, baseball, basketball, hockey, and soccer, in addition to coaches, on-air broadcasters, and sports personalities and works in the areas of broadcast rights, corporate marketing initiatives, social impact, executive search, and sports properties for sales and sponsorship opportunities. Founded in 1975, CAA is headquartered in Los Angeles, and has offices in New York, Nashville, Memphis, Chicago, Miami, London, Munich, Geneva, Stockholm, Shanghai, and Beijing, among other locations globally.

    Overview

    Are you passionate about entertainment, brands, music, sports, and analytics? Have a natural aptitude toward storytelling through data? Join our growing data team as we provide advanced data solutions and strategic analysis to enhance the creation of opportunities for world-class clients across Film, TV, Music, Sports, Digital Media, and beyond.

    CAA has an opening for an Analyst on our Data Insights team. In this role, you will be a member of a highly motivated and collaborative team responsible for providing actionable insights to business unit stakeholders (Agents Executives, and client management teams) using cutting-edge data and analytical tools.

    Your role is to provide data that is accurate, congruent, contextualised and actionable to ensure information is easily available to users for direct consumption. In collaboration with the team, you will help educate and train internal stakeholders to explore and understand information in new ways, generating compelling insights that inform and support effective decision-making and client servicing. It will be essential, and a success criterion, that you build an understanding of the business at a level of detail that enables you to identify and address critical issues and opportunities.

    This position will work in CAA’s London Office during typical business hours. Flexibility is expected as the Data Insights team is predominately based in CAA’s Los Angeles office. Communication across time-zones will be required as you be reporting to a manager based in the Los Angeles, CA office. Occasional travel, including company meetings and events, is also expected.

    Main Responsibilities to include, but limited to:

    • Collaborate closely with senior analysts on the team to derive strategic and actionable insights from various sources to garner audience and marketplace intelligence on clients across all departments (Film, TV, Music, Sports, Brands, Consumer Products, etc.), with a special focus on Music, Comedy and Sports.
    • Participate in translating findings into digestible and visually intuitive outputs through compelling analysis and storytelling to Agents, Executives, and client teams.
    • Assist with data vendor relationships to respond to the changing information needs of the business.
    • Leverage proprietary & third-party analytics tools to demonstrate the popularity, value, and impact of our client’s work and/or their related businesses.
    • Provide analyses on brand, category, and consumer trends to uncover opportunities in support of CAA’s brand and brand-building groups.
    • Act as a liaison between data teams and business stakeholders (CAA Agents and Executives) to gather and organise requirements for the design of optimal data solutions and internal platforms.
    • In coordination with the data group, participate in workstream planning processes including gathering requirements, testing, delivery, and training of new analytics features.
    • Balance numerous projects across different departments and sustain open communication with the team/stakeholders to ensure deadlines are met.
    • Assist with training and adoption of CAA’s internal analytics platforms, including conducting company-wide, departmental, and one-on-one training sessions; maintaining documentation and training guides; and championing CAA’s data products.
    • Collaborate effectively across all areas of the Data Team (Data Analytics, Data Science, Data Management, Data Engineering, etc.)


    Qualifications/Requirements

    • Bachelor's Degree in Business, marketing, computer science, information systems, or specialised training/certification in a related field is preferred.
    • Four or more years of experience as an Analyst or similar role at an entertainment agency, consumer brand, market research agency, ad agency, or related company preferred.
    • Excellent interpersonal and written communication skills; highly collaborative and inclusive team player while also being a self-starter.
    • Highly detail-oriented and well-organised; able to work in a fast-paced environment, manage multiple tasks/deadlines at once and can easily adapt to change.
    • Strong passion for and knowledge of cultural and industry trends that affect brands and consumers. Preference for a passion in the live entertainment space (music, comedy and sports)
    • Understanding of the entertainment, social media and digital landscape including consumer & platform trends, audience measurement & metrics, monetisation strategies, etc.
    • Experience mining and analysing data from social listening, digital analytics, and consumer/market research tools (e.g., Meltwater, NetBase, Helixa, Nielsen, MRI/Simmons, Google Analytics, E-Poll, etc.).
    • Avid user and fluency with social media platforms (e.g., Instagram, TikTok, YouTube, Twitter, and Facebook).
    • Experience working in Microsoft Excel and can create beautiful client-facing PowerPoint presentations.
    • Experience working with data to solve business problems, i.e., generate and communicate actionable insights to business users.
    • Committed to the data education of stakeholders, sharing of information, and empowerment through data.
    • Experience with modern Data Visualisation tools (e.g., Power Bl, Tableau, Qlik) preferred.


    Please ensure you provide complete and legible information in your application. An incomplete application may affect your consideration for employment.

    Creative Artists Agency (“CAA”) is committed to promoting equal opportunities in employment and creating a workplace culture in which diversity and inclusion is valued and everyone is treated with dignity and respect. As part of our zero-tolerance approach to discrimination in any form, you and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation, or any other legally recognised protected basis under UK law.

    Please inform CAA’s Recruitment Department if you need any assistance completing any forms or to otherwise participate in the application process.

    CAA does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by CAA to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that CAA will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +4004693393,https://uk.linkedin.com/jobs/view/data-analyst-at-the-fiser-group-4004693393?position=1&pageNum=2&refId=T2sFmaY8NeOdAnTzhSsIpQ%3D%3D&trackingId=sU8cwh5bolVtBJNMA1rEAw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,The FISER Group,"London Area, United Kingdom","Data Analyst – Analytics & Insights/ Performance, Investment Management + + + + +London, Hybrid + + + + +Duration: FTC 9-12 months + + + + +Our client is seeking a Data Analyst to join their Analytics & Insights team for a 9-12 month fixed-term contract. In this role, you will be pivotal in collecting, organising, and analysing performance data from a wide range of companies. Your contributions will be essential to key reporting and will support internal performance management, delivering high-quality insights that help shape strategy and portfolio management decisions. + + + + +Key Responsibilities: + + + + +Collect, structure, and input data from investee companies (including financial metrics, ESG indicators, and impact reports) into the company’s management information system. +Collaborate closely with various teams to ensure data accuracy, check for anomalies, and liaise with investees to resolve inconsistencies. +Provide Excel-based analysis on impact and performance, contributing to the company’s annual report and internal tools. +Oversee the migration of legacy impact metrics into a new data management system, ensuring data integrity throughout the process. +Support the team with ongoing improvements to data analysis and reporting processes. + + + + +Key Skills: + + + + +Data analysis: Strong experience in collecting and analysing data, ensuring accuracy and consistency across multiple sources. +Excel proficiency: Essential, with a preference for experience in automating analysis processes. +Technical know-how: Familiarity with Power BI, Microsoft PowerPoint, and accounting terminology. +Project management: Strong organisational skills to handle large datasets and meet deadlines. +Attention to detail: Critical for managing and analysing data from various reports and systems. + + + + +Personal Attributes: + + + + +Collaborative: Proven ability to work closely with cross-functional teams. +Detail-oriented: High attention to detail with a focus on data accuracy and quality assurance. +Results-driven: Motivated by achieving high-quality outcomes and continuously improving processes. + +Show more ","
    + + + + + +
    +
    +

    Data Analyst – Analytics & Insights/ Performance, Investment Management


    London, Hybrid


    Duration: FTC 9-12 months


    Our client is seeking a Data Analyst to join their Analytics & Insights team for a 9-12 month fixed-term contract. In this role, you will be pivotal in collecting, organising, and analysing performance data from a wide range of companies. Your contributions will be essential to key reporting and will support internal performance management, delivering high-quality insights that help shape strategy and portfolio management decisions.


    Key Responsibilities:


    • Collect, structure, and input data from investee companies (including financial metrics, ESG indicators, and impact reports) into the company’s management information system.
    • Collaborate closely with various teams to ensure data accuracy, check for anomalies, and liaise with investees to resolve inconsistencies.
    • Provide Excel-based analysis on impact and performance, contributing to the company’s annual report and internal tools.
    • Oversee the migration of legacy impact metrics into a new data management system, ensuring data integrity throughout the process.
    • Support the team with ongoing improvements to data analysis and reporting processes.


    Key Skills:


    • Data analysis: Strong experience in collecting and analysing data, ensuring accuracy and consistency across multiple sources.
    • Excel proficiency: Essential, with a preference for experience in automating analysis processes.
    • Technical know-how: Familiarity with Power BI, Microsoft PowerPoint, and accounting terminology.
    • Project management: Strong organisational skills to handle large datasets and meet deadlines.
    • Attention to detail: Critical for managing and analysing data from various reports and systems.


    Personal Attributes:


    • Collaborative: Proven ability to work closely with cross-functional teams.
    • Detail-oriented: High attention to detail with a focus on data accuracy and quality assurance.
    • Results-driven: Motivated by achieving high-quality outcomes and continuously improving processes.

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    ",2024-08-21,[] +3989133804,https://uk.linkedin.com/jobs/view/business-intelligence-analyst-at-waferwire-cloud-technologies-3989133804?position=3&pageNum=2&refId=T2sFmaY8NeOdAnTzhSsIpQ%3D%3D&trackingId=qUj9XyFlSQCpFDfHylj%2B9w%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Analyst,WaferWire Cloud Technologies,"London Area, United Kingdom","Job Summary: + +As an AWF Business Intelligence Analyst on the Global Ads Marketing team, you will play a pivotal role in supporting the Q4 peak season planning. You will collaborate closely with the Business Intelligence Lead to analyze data trends, develop insightful reports, and contribute to the strategic execution of our advertising campaigns. Your expertise will help optimize our ad performance and ensure a successful peak season. + +Key Responsibilities: + +Collaborate with Marketing Managers to align data analysis with overall Ads product strategy. +Assist with the development and implementation of operational tools for peak season planning, becoming the go-to expert. +Work with cross-functional teams to support operational excellence and drive automation initiatives. +Engage with global stakeholders to provide data-driven insights and recommendations for Ads product enhancements. +Take charge of data collection, analysis, and reporting tasks to support decision-making during Q4 peak season. +Contribute to the design and execution of A/B testing to optimize campaign performance. +Synthesize complex data into actionable reports for the marketing team and senior management. +Assist in the management and quality assurance of campaign content and audience targeting. + +Qualifications: + +Bachelor’s degree in Marketing, Business, Statistics, Economics, or equivalent experience. +Minimum of 1 year of experience in a data analysis role ideally within a marketing or ad-tech environment. +Proficient in data analysis tools (SQL, Excel, Tableau, etc.) +Strong analytical skills with the ability to interpret data and generate meaningful insights. +Exceptional organizational and project management abilities, capable of handling multiple tasks with precision. +Excellent communication skills, with the aptitude to present data findings clearly to both technical and non-technical audiences. +A proactive mindset, with a willingness to take initiative and drive projects forward. +Adaptable and resilient, able to thrive in a fast-paced and dynamic work environment. + +What We Offer: + +A creative and collaborative workplace where your contributions are recognized. +A supportive team that values innovation and data-driven decision-making. + +Join us and be a part of shaping the future of advertising during our most exciting time of the year! + +Show more ","
    + + + + + +
    +
    +

    Job Summary:

    As an AWF Business Intelligence Analyst on the Global Ads Marketing team, you will play a pivotal role in supporting the Q4 peak season planning. You will collaborate closely with the Business Intelligence Lead to analyze data trends, develop insightful reports, and contribute to the strategic execution of our advertising campaigns. Your expertise will help optimize our ad performance and ensure a successful peak season.

    Key Responsibilities:

    • Collaborate with Marketing Managers to align data analysis with overall Ads product strategy.
    • Assist with the development and implementation of operational tools for peak season planning, becoming the go-to expert.
    • Work with cross-functional teams to support operational excellence and drive automation initiatives.
    • Engage with global stakeholders to provide data-driven insights and recommendations for Ads product enhancements.
    • Take charge of data collection, analysis, and reporting tasks to support decision-making during Q4 peak season.
    • Contribute to the design and execution of A/B testing to optimize campaign performance.
    • Synthesize complex data into actionable reports for the marketing team and senior management.
    • Assist in the management and quality assurance of campaign content and audience targeting.

    Qualifications:

    • Bachelor’s degree in Marketing, Business, Statistics, Economics, or equivalent experience.
    • Minimum of 1 year of experience in a data analysis role ideally within a marketing or ad-tech environment.
    • Proficient in data analysis tools (SQL, Excel, Tableau, etc.)
    • Strong analytical skills with the ability to interpret data and generate meaningful insights.
    • Exceptional organizational and project management abilities, capable of handling multiple tasks with precision.
    • Excellent communication skills, with the aptitude to present data findings clearly to both technical and non-technical audiences.
    • A proactive mindset, with a willingness to take initiative and drive projects forward.
    • Adaptable and resilient, able to thrive in a fast-paced and dynamic work environment.

    What We Offer:

    • A creative and collaborative workplace where your contributions are recognized.
    • A supportive team that values innovation and data-driven decision-making.

    Join us and be a part of shaping the future of advertising during our most exciting time of the year!

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    ",2024-08-02,[] +3985532777,https://uk.linkedin.com/jobs/view/business-data-reporting-analyst-at-telfer-partners-3985532777?position=4&pageNum=2&refId=T2sFmaY8NeOdAnTzhSsIpQ%3D%3D&trackingId=%2BWptocw8jAIE6%2BI8d554%2Bg%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data & Reporting Analyst,Telfer Partners,"London Area, United Kingdom","Our client, a leading independent academic and professional publisher, is seeking a Business Data and Reporting Analyst to support their Hybrid and Open Access journals’ editorial function. This role involves developing and delivering analytics and reporting solutions that transform data into actionable insights. + + + + +Business Data & Reporting Analyst: Key responsibilities + + + + +Implement, manage, maintain, and develop existing reports and dashboards across the Journals Editorial function +Quickly acquire a good understanding of the critical data sources regarding availability, integrity, complexity and ownership to ensure reports and analyses are complete, consistent and understood +Troubleshoot, resolve and drive improvement to existing reporting and data visualisations, with a keen interest in automation +Effectively prioritise and manage multiple data-focused requests through delivery with a high degree of accuracy and on time completion +Help evaluate acquisitions of new third-party data sources and assist in implementing and using these sources to achieve business benefits for Editorial + + + + + + + +Business Data & Reporting Analyst: Skills/experience + + + + +A proven record of collaborative work with other highly skilled data analysts and data coordinators to produce and present clear reports and data visualisations that are user-friendly and accessible to stakeholders +Data analyst experience and applied critical thinking and analytical skills to solve real-world business problems +Knowledge of the journal publishing industry and an understanding of Open Access business models +Advanced experience with Microsoft Office 365 apps (including advanced skills in Excel and proficiency in Power BI, along with DAX, Power Query, and Excel Power Pivot), SQL, and API integrations +Good relationship management skills and confidence in dealing with people at all levels of the business + + + + +A competitive salary, bonus, and benefits package is offered. + + + + +Referral Scheme - Telfer Partners offer a referral reward if we fill this vacancy with someone you recommend. You can send us contact details of anyone you would like to recommend to enquiries@telferpartners.com. + + + + +Equality Policy - Telfer Partners is committed to upholding a professional and impartial recruitment process. Our Equal Opportunities policy ensures that all job applicants and employees are treated fairly and equally, regardless of their gender, sexual orientation, marital status, race, nationality, religion, age, disability, or union membership status. + +Show more ","
    + + + + + +
    +
    +

    Our client, a leading independent academic and professional publisher, is seeking a Business Data and Reporting Analyst to support their Hybrid and Open Access journals’ editorial function. This role involves developing and delivering analytics and reporting solutions that transform data into actionable insights.


    Business Data & Reporting Analyst: Key responsibilities


    • Implement, manage, maintain, and develop existing reports and dashboards across the Journals Editorial function
    • Quickly acquire a good understanding of the critical data sources regarding availability, integrity, complexity and ownership to ensure reports and analyses are complete, consistent and understood
    • Troubleshoot, resolve and drive improvement to existing reporting and data visualisations, with a keen interest in automation
    • Effectively prioritise and manage multiple data-focused requests through delivery with a high degree of accuracy and on time completion
    • Help evaluate acquisitions of new third-party data sources and assist in implementing and using these sources to achieve business benefits for Editorial



    Business Data & Reporting Analyst: Skills/experience


    • A proven record of collaborative work with other highly skilled data analysts and data coordinators to produce and present clear reports and data visualisations that are user-friendly and accessible to stakeholders
    • Data analyst experience and applied critical thinking and analytical skills to solve real-world business problems
    • Knowledge of the journal publishing industry and an understanding of Open Access business models
    • Advanced experience with Microsoft Office 365 apps (including advanced skills in Excel and proficiency in Power BI, along with DAX, Power Query, and Excel Power Pivot), SQL, and API integrations
    • Good relationship management skills and confidence in dealing with people at all levels of the business


    A competitive salary, bonus, and benefits package is offered.


    Referral Scheme - Telfer Partners offer a referral reward if we fill this vacancy with someone you recommend. You can send us contact details of anyone you would like to recommend to enquiries@telferpartners.com.


    Equality Policy - Telfer Partners is committed to upholding a professional and impartial recruitment process. Our Equal Opportunities policy ensures that all job applicants and employees are treated fairly and equally, regardless of their gender, sexual orientation, marital status, race, nationality, religion, age, disability, or union membership status.

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    ",2024-07-26,[] +4008250928,https://uk.linkedin.com/jobs/view/data-analyst-at-malaberg-4008250928?position=5&pageNum=2&refId=T2sFmaY8NeOdAnTzhSsIpQ%3D%3D&trackingId=Uj9LGKxYx77FGkriGj6rHw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Malaberg,"London Area, United Kingdom","We're hiring the very best data analysts to join our agile in-house team. You will be working on the fastest growing direct to consumer (e-commerce) brands and will have access to unlimited performance bonus. + + + + +What You'll Be Doing + + + + +Launch and optimize social, native and search advertising campaigns +Improve Conversion Rate across multiple funnels - multivariant and A/B testing +Design new funnels and analyse granular data using proprietary data warehouse +Manage unlimited budget while staying profitable. Compensation is directly correlated to your personal campaign performance and paid monthly +Optional managerial roles available + + + + +What You'll Need + + + + +Results-driven and numbers-oriented personality +High attention to detail +Flexibility and adaptability +Commitment to innovations + + + + +A little about us + + + + +We're passionate about building life changing consumer products and delivering them with astonishing service. We are also one of the UK's fastest growing direct to consumer companies. + + + + +The Benefits + + + + +Salary above market +All the latest tech you need +Pension plan +Show more ","
    + + + + + +
    +
    +

    We're hiring the very best data analysts to join our agile in-house team. You will be working on the fastest growing direct to consumer (e-commerce) brands and will have access to unlimited performance bonus.


    What You'll Be Doing


    • Launch and optimize social, native and search advertising campaigns
    • Improve Conversion Rate across multiple funnels - multivariant and A/B testing
    • Design new funnels and analyse granular data using proprietary data warehouse
    • Manage unlimited budget while staying profitable. Compensation is directly correlated to your personal campaign performance and paid monthly
    • Optional managerial roles available


    What You'll Need


    • Results-driven and numbers-oriented personality
    • High attention to detail
    • Flexibility and adaptability
    • Commitment to innovations


    A little about us


    We're passionate about building life changing consumer products and delivering them with astonishing service. We are also one of the UK's fastest growing direct to consumer companies.


    The Benefits


    • Salary above market
    • All the latest tech you need
    • Pension plan
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    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4004698033,https://uk.linkedin.com/jobs/view/data-analyst-at-the-behavioural-insights-team-4004698033?position=7&pageNum=2&refId=T2sFmaY8NeOdAnTzhSsIpQ%3D%3D&trackingId=6RFDnUvJSG%2BpYq%2BEHE%2FymA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,The Behavioural Insights Team,"London Area, United Kingdom","Are you seeking a new challenge in a dynamic and impactful organization? The Behavioural Insights Team (BIT) is looking for a passionate individual to support data-driven business decisions and operational excellence. This role involves explaining the story behind the numbers and working with various stakeholders to drive commercial performance, aligning with BIT’s social impact aims and continuous improvement. + + + + +About BIT: + +The Behavioural Insights Team is a social purpose company that collaborates with governments, businesses, and charities to address major policy issues through simple yet powerful changes. With 250 staff across 8 countries, BIT has completed over 1000 projects, including 700 randomized controlled trials, to improve lives and communities. Acquired by Nesta in 2021, BIT continues to share expertise and build capacity in applying behavioural science for social good + + + + +Role and Responsibilities: + +This newly created role is in BIT’s Data team, reporting to the Head of Data Visualisation to support the day-to-day business running of Power BI and the improvement of efficiencies in the business. You will play a crucial role in monitoring data quality, correcting data issues, and supporting the finance team with month-end reporting. + + + + +Key responsibilities include: + +Data Quality and Maintenance: Monitor reports for data quality, correct data issues, and ensure the main data system is current. Become an expert in using the system and advise users across the business. +Data Integration and Visualization: Use Power BI to connect to various data sources, manipulate data, and display it in an easily digestible format. Perform statistical analysis of data and create understandable reports and visualizations. +Ad-Hoc Data Requests: Handle ad-hoc data requests from around the business, providing support with exports from Power BI or other data systems. +Support Finance Team: Assist with the budgeting process for the finance team using G-Sheets and Power BI, and support month-end reporting by reconciling data between sources. +Stakeholder Engagement: Liaise with stakeholders to understand data content and business requirements for reporting, and work to deliver these reports. + + + + +Skills and Experience: + +Data Analysis: Strong interest in and passion for data analysis. Proficiency in using tools such as Excel/Google Sheets for data extraction and analysis. Extensive experience with Power BI, including connecting to data sources, manipulating data, and creating visualizations. +Process Improvement: Ability to analyze, prioritize, and redesign business processes to simplify, automate, and reduce workload—experience in planning, implementing, and communicating changes effectively. +Communication: Excellent written and oral communication skills. Ability to explain complex topics in simple terms and communicate effectively with internal and external stakeholders. +Time Management: Proven ability to manage deadlines and priorities to produce high-quality work within reasonable timeframes. +Teamwork: Although this role will be mainly independent, experience in collaborating with team members and providing support to ensure successful project outcomes. Ability to manage workload effectively and care about the success and well-being of others. +Ability to work independently: Ability to carry out all the above skills independently as this will be a self-sufficient role. + + + + +Qualifications: + +A bachelor's degree (or equivalent qualification) in a relevant field, such as Data Science, Statistics, Finance, or a related discipline. +1-3 years of experience in a data analyst role, focusing on using Power BI (with both M-Query and DAX) for data visualization and analysis. + + + + +Ideal Candidates Will Also Have: + +Experience working with overseas subsidiaries. +Experience in professional services or consultancy businesses. + +Show more ","
    + + + + + +
    +
    +

    Are you seeking a new challenge in a dynamic and impactful organization? The Behavioural Insights Team (BIT) is looking for a passionate individual to support data-driven business decisions and operational excellence. This role involves explaining the story behind the numbers and working with various stakeholders to drive commercial performance, aligning with BIT’s social impact aims and continuous improvement.


    About BIT:

    The Behavioural Insights Team is a social purpose company that collaborates with governments, businesses, and charities to address major policy issues through simple yet powerful changes. With 250 staff across 8 countries, BIT has completed over 1000 projects, including 700 randomized controlled trials, to improve lives and communities. Acquired by Nesta in 2021, BIT continues to share expertise and build capacity in applying behavioural science for social good


    Role and Responsibilities:

    This newly created role is in BIT’s Data team, reporting to the Head of Data Visualisation to support the day-to-day business running of Power BI and the improvement of efficiencies in the business. You will play a crucial role in monitoring data quality, correcting data issues, and supporting the finance team with month-end reporting.


    Key responsibilities include:

    • Data Quality and Maintenance: Monitor reports for data quality, correct data issues, and ensure the main data system is current. Become an expert in using the system and advise users across the business.
    • Data Integration and Visualization: Use Power BI to connect to various data sources, manipulate data, and display it in an easily digestible format. Perform statistical analysis of data and create understandable reports and visualizations.
    • Ad-Hoc Data Requests: Handle ad-hoc data requests from around the business, providing support with exports from Power BI or other data systems.
    • Support Finance Team: Assist with the budgeting process for the finance team using G-Sheets and Power BI, and support month-end reporting by reconciling data between sources.
    • Stakeholder Engagement: Liaise with stakeholders to understand data content and business requirements for reporting, and work to deliver these reports.


    Skills and Experience:

    • Data Analysis: Strong interest in and passion for data analysis. Proficiency in using tools such as Excel/Google Sheets for data extraction and analysis. Extensive experience with Power BI, including connecting to data sources, manipulating data, and creating visualizations.
    • Process Improvement: Ability to analyze, prioritize, and redesign business processes to simplify, automate, and reduce workload—experience in planning, implementing, and communicating changes effectively.
    • Communication: Excellent written and oral communication skills. Ability to explain complex topics in simple terms and communicate effectively with internal and external stakeholders.
    • Time Management: Proven ability to manage deadlines and priorities to produce high-quality work within reasonable timeframes.
    • Teamwork: Although this role will be mainly independent, experience in collaborating with team members and providing support to ensure successful project outcomes. Ability to manage workload effectively and care about the success and well-being of others.
    • Ability to work independently: Ability to carry out all the above skills independently as this will be a self-sufficient role.


    Qualifications:

    • A bachelor's degree (or equivalent qualification) in a relevant field, such as Data Science, Statistics, Finance, or a related discipline.
    • 1-3 years of experience in a data analyst role, focusing on using Power BI (with both M-Query and DAX) for data visualization and analysis.


    Ideal Candidates Will Also Have:

    • Experience working with overseas subsidiaries.
    • Experience in professional services or consultancy businesses.

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    ",2024-08-21,[] +4004286641,https://uk.linkedin.com/jobs/view/social-data-analyst-at-silverdrum-4004286641?position=8&pageNum=2&refId=T2sFmaY8NeOdAnTzhSsIpQ%3D%3D&trackingId=%2FZFToYkn67ea%2BR0H600Ejg%3D%3D&trk=public_jobs_jserp-result_search-card,Social Data Analyst,Silverdrum,"London Area, United Kingdom","Social Data Analyst role at a fast-growing independent performance / paid social agency. + + + + + + + +Salary to £38,000 + bonus. Based Central London (2 days required in office per week). + + + + + + + +Summary + +This role has huge growth potential – potentially to grow the team and manage a small department in years to come +Across a range of clients with a big B2C brand focus +You will ideally have experience with Looker (or similar) and be super-interested in social analytics and presenting data in clear, translatable ways for clients +Focus is paid social but also keen to expand on organic social analytics + + + + + + + +As a Data Analyst, you'll contribute to the agencies growth by diving deep into data from platforms like Google, Meta, and TikTok to unearth insights that shape our campaigns. + + + + + + + +The business has ambitious growth targets and are looking to organically grow to double in size by 2026. They have an inclusive working environment where team togetherness is promoted, including team lunches and Thursday night social’s. + + + + + + + +Key Responsibilities: + + + + +Data Integration - Integrate data from multiple sources using Funnel, ensuring accuracy and accessibility for analysis. + +Report Creation - Create and maintain Looker Studio reports for daily decision-making, continuously improving their accuracy and usefulness. + +Experimentation - Run structured experiments, identify testing opportunities, implement them, manage rewards, and communicate results. + +Data Analysis - Conduct incrementality studies, analyze trends using spreadsheets and Python notebooks, and provide detailed insights. + +Tracking - Audit tracking setups, build tracking maps, and help clients troubleshoot tracking issues. + + + + + + + +What We Need from You: + + + + +3+ years’ experience within a social / data analyst role +Proficiency in using spreadsheets for daily tasks. +Strong data analysis skills to surface insights and present them clearly. +Excellent communication skills for presenting findings. +B2C client experience +Attention to detail to ensure accuracy and reliability in data handling. +Knowledge of marketing data and its complexities. +Experience with SQL, JavaScript, or Python is highly desirable. +Familiarity with Google Tag Manager, Meta Pixel, Google Analytics, and paid media management tools. +Experience running A/B tests and reporting findings. +Interest in AI trends and technologies for measuring metrics in social media. + +Show more ","
    + + + + + +
    +
    +

    Social Data Analyst role at a fast-growing independent performance / paid social agency.



    Salary to £38,000 + bonus. Based Central London (2 days required in office per week).



    Summary

    • This role has huge growth potential – potentially to grow the team and manage a small department in years to come
    • Across a range of clients with a big B2C brand focus
    • You will ideally have experience with Looker (or similar) and be super-interested in social analytics and presenting data in clear, translatable ways for clients
    • Focus is paid social but also keen to expand on organic social analytics



    As a Data Analyst, you'll contribute to the agencies growth by diving deep into data from platforms like Google, Meta, and TikTok to unearth insights that shape our campaigns.



    The business has ambitious growth targets and are looking to organically grow to double in size by 2026. They have an inclusive working environment where team togetherness is promoted, including team lunches and Thursday night social’s.



    Key Responsibilities:


    Data Integration - Integrate data from multiple sources using Funnel, ensuring accuracy and accessibility for analysis.

    Report Creation - Create and maintain Looker Studio reports for daily decision-making, continuously improving their accuracy and usefulness.

    Experimentation - Run structured experiments, identify testing opportunities, implement them, manage rewards, and communicate results.

    Data Analysis - Conduct incrementality studies, analyze trends using spreadsheets and Python notebooks, and provide detailed insights.

    Tracking - Audit tracking setups, build tracking maps, and help clients troubleshoot tracking issues.



    What We Need from You:


    • 3+ years’ experience within a social / data analyst role
    • Proficiency in using spreadsheets for daily tasks.
    • Strong data analysis skills to surface insights and present them clearly.
    • Excellent communication skills for presenting findings.
    • B2C client experience
    • Attention to detail to ensure accuracy and reliability in data handling.
    • Knowledge of marketing data and its complexities.
    • Experience with SQL, JavaScript, or Python is highly desirable.
    • Familiarity with Google Tag Manager, Meta Pixel, Google Analytics, and paid media management tools.
    • Experience running A/B tests and reporting findings.
    • Interest in AI trends and technologies for measuring metrics in social media.

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    ",2024-08-20,[] +4006205927,https://uk.linkedin.com/jobs/view/data-analyst-at-match-digital-4006205927?position=9&pageNum=2&refId=T2sFmaY8NeOdAnTzhSsIpQ%3D%3D&trackingId=5Jc55a2oVt%2B31hAWzOkfMw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Match Digital,"London Area, United Kingdom","Data Analyst + +£35,000 - £40,000 + 10% bonus + benefits + +London (2 days per week in the office) + + + + +Our client + + + + +Our client is a global strategic technology and payments partner. They deliver seamless personalised shopping experiences to over 29m international shoppers, who in turn generate €22.9bn revenue. + + + + +With 2,000 employees spread across 50 countries, they integrate with 300,000 point of sale systems in a number of luxury retailers and brands including Harrods, Selfridges, John Lewis, Liberty’s, Apple, Cartier, De Beers, Hermès, Rolex, Dior and Jimmy Choo. + + + + +Their products include tax-free shopping, smart data and intelligence, marketing and sales, POS technology and payment solutions. + + + + +The role + + + + +The Data Analyst will help the business to understand customer needs and behaviours through the analysis of complex data sets and subsequent translation into meaningful, shareable insights and stories. + + + + +This role will be hands on with building visualisations in Tableau and ad hoc analysis (using SQL) to inform the optimisation of products and features. + + + + +As a Data Analyst, you will: + + + + +Monitor and report on key KPIs. +Deep-dive (using SQL) into customer data to provide product teams with detailed customer analysis. +Be hands-on with building visualisations in Tableau. +Identify data requirements, working with international data teams to ensure data is cleansed and prepared. +Support with the identification of new and innovative ways to leverage data to deliver new customer engagement opportunities, optimise channels and deliver economic efficiency. +Deliver enhanced customer profiling and segmentation. +Measure the effectiveness of customer-facing products, features and campaigns. +Provide ad-hoc analysis to inform the optimisation of customer-facing products, features and campaigns. +Advise on how advanced statistical and analytical techniques can further improve the understanding of customers. + + + + +To apply, you should have + + + + +Experience working as a Data Analyst with good exposure to statistical methodologies. +Intermediate SQL skills. +Advanced experience with Tableau (or a similar tool). +Advanced Excel skills. +Proven experience delivering impactful and actionable insights with a B2C environment. + + + + +The perks include + + + + +25 days holiday + bank holidays. +An extra day off for moving to a new house; 2 days off for your wedding; 3 days off for charity / community days. +Private healthcare and medical cashback plan. +Perkbox. +Competitive pension plan. +Virgin gym membership. + +Match Digital specialises in connecting talented individuals with businesses in the digital, tech, media and marcomms industries. + +Show more ","
    + + + + + +
    +
    +

    Data Analyst

    £35,000 - £40,000 + 10% bonus + benefits

    London (2 days per week in the office)


    Our client


    Our client is a global strategic technology and payments partner. They deliver seamless personalised shopping experiences to over 29m international shoppers, who in turn generate €22.9bn revenue.


    With 2,000 employees spread across 50 countries, they integrate with 300,000 point of sale systems in a number of luxury retailers and brands including Harrods, Selfridges, John Lewis, Liberty’s, Apple, Cartier, De Beers, Hermès, Rolex, Dior and Jimmy Choo.


    Their products include tax-free shopping, smart data and intelligence, marketing and sales, POS technology and payment solutions.


    The role


    The Data Analyst will help the business to understand customer needs and behaviours through the analysis of complex data sets and subsequent translation into meaningful, shareable insights and stories.


    This role will be hands on with building visualisations in Tableau and ad hoc analysis (using SQL) to inform the optimisation of products and features.


    As a Data Analyst, you will:


    • Monitor and report on key KPIs.
    • Deep-dive (using SQL) into customer data to provide product teams with detailed customer analysis.
    • Be hands-on with building visualisations in Tableau.
    • Identify data requirements, working with international data teams to ensure data is cleansed and prepared.
    • Support with the identification of new and innovative ways to leverage data to deliver new customer engagement opportunities, optimise channels and deliver economic efficiency.
    • Deliver enhanced customer profiling and segmentation.
    • Measure the effectiveness of customer-facing products, features and campaigns.
    • Provide ad-hoc analysis to inform the optimisation of customer-facing products, features and campaigns.
    • Advise on how advanced statistical and analytical techniques can further improve the understanding of customers.


    To apply, you should have


    • Experience working as a Data Analyst with good exposure to statistical methodologies.
    • Intermediate SQL skills.
    • Advanced experience with Tableau (or a similar tool).
    • Advanced Excel skills.
    • Proven experience delivering impactful and actionable insights with a B2C environment.


    The perks include


    • 25 days holiday + bank holidays.
    • An extra day off for moving to a new house; 2 days off for your wedding; 3 days off for charity / community days.
    • Private healthcare and medical cashback plan.
    • Perkbox.
    • Competitive pension plan.
    • Virgin gym membership.

    Match Digital specialises in connecting talented individuals with businesses in the digital, tech, media and marcomms industries.

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    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4002113841,https://uk.linkedin.com/jobs/view/junior-data-analyst-at-pinnacle-group-limited-4002113841?position=10&pageNum=2&refId=T2sFmaY8NeOdAnTzhSsIpQ%3D%3D&trackingId=BH9DiJIe%2BwzH2a5oZ025qQ%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst,Pinnacle Group Limited,"London, England, United Kingdom","Pinnacle Group are seeking a motivated Junior Data Analyst to support our dynamic Data Analytics Team. In this role, you will collaborate closely with our Data Engineer and Data Analytics Manager to gather, clean, and analyse data. This position offers a fantastic opportunity to learn and apply various data analysis techniques and tools. + +Our Data Analytics Team operates remotely, with monthly meetings held in Holborn. The team provides valuable insights and key performance indicators (KPIs) through the use of Power BI that enhance operational understanding of business performance and inform strategic decision-making. + +This is a remote based role with monthly meetings at our Head Office in Holborn, the role is full time working Monday to Friday. + +Who We Are + +Pinnacle Group is a leading UK private sector provider of housing and neighbourhood services, managing and maintaining communities where people live, learn, work and play. + +We’re a people-first organisation with a values driven culture that has remained consistent for thirty years; living through how we treat our employees and our customers. + +Who We’re Looking For + +We’re looking for someone who, alongside the key criteria below, will sign up to our values of Trust, Respect, Involve, Challenge and Deliver Excellence and will be determined to maintain the confidence of our clients and communities. + +Key Responsibilities Will Include + + +Actively support the collection of accurate data within critical timelines +Supporting maintenance of Power BI dashboards. (No experience required) +Supporting Carbon Footprint Data Collection +Ensure that data is obtained and processed in a timely fashion +Data Analytics Admin +Providing support for dashboard users +Supporting Data Analytics Manager and other team members + + +Key Requirements + + +Intermediate knowledge of Excel +An aptitude towards data analysis and administration +Willingness to learn +Enthusiastic and self-motivated. +Good written and spoken communication skills + + +Our Offer + +The more diverse our workforce, the better we can adapt to and reflect the needs of our customers. + +We welcome applications from all backgrounds - particularly from those who represent the communities we serve including ex-armed forces personnel and their families. + +As a colleague, you will become part of an inclusive culture, where you will have the opportunity to achieve your full potential and enhance your career through learning and development. + +We offer a wide range of benefits at Pinnacle Group, dependant on your role or business area, these range from additional leave packages to pension plans and discounts at your favourite retailers. + + +Maternity/paternity packages +Flexible Working Arrangements +Life Assurance +Enhanced Pension Scheme +Additional Annual Leave +Private Medical Insurance +Cycle to Work Scheme +Employee Assistance Programme +Retail Discounts +Childcare Assistance +Season Ticket Loans +Sick Pay Schemes +Personal Development Plans +Company Car/Car Allowance +Electric Vehicle Scheme +Show more ","
    + + + + + +
    +
    + Pinnacle Group are seeking a motivated Junior Data Analyst to support our dynamic Data Analytics Team. In this role, you will collaborate closely with our Data Engineer and Data Analytics Manager to gather, clean, and analyse data. This position offers a fantastic opportunity to learn and apply various data analysis techniques and tools.

    Our Data Analytics Team operates remotely, with monthly meetings held in Holborn. The team provides valuable insights and key performance indicators (KPIs) through the use of Power BI that enhance operational understanding of business performance and inform strategic decision-making.

    This is a remote based role with monthly meetings at our Head Office in Holborn, the role is full time working Monday to Friday.

    Who We Are

    Pinnacle Group is a leading UK private sector provider of housing and neighbourhood services, managing and maintaining communities where people live, learn, work and play.

    We’re a people-first organisation with a values driven culture that has remained consistent for thirty years; living through how we treat our employees and our customers.

    Who We’re Looking For

    We’re looking for someone who, alongside the key criteria below, will sign up to our values of Trust, Respect, Involve, Challenge and Deliver Excellence and will be determined to maintain the confidence of our clients and communities.

    Key Responsibilities Will Include

    • Actively support the collection of accurate data within critical timelines
    • Supporting maintenance of Power BI dashboards. (No experience required)
    • Supporting Carbon Footprint Data Collection
    • Ensure that data is obtained and processed in a timely fashion
    • Data Analytics Admin
    • Providing support for dashboard users
    • Supporting Data Analytics Manager and other team members

    Key Requirements

    • Intermediate knowledge of Excel
    • An aptitude towards data analysis and administration
    • Willingness to learn
    • Enthusiastic and self-motivated.
    • Good written and spoken communication skills

    Our Offer

    The more diverse our workforce, the better we can adapt to and reflect the needs of our customers.

    We welcome applications from all backgrounds - particularly from those who represent the communities we serve including ex-armed forces personnel and their families.

    As a colleague, you will become part of an inclusive culture, where you will have the opportunity to achieve your full potential and enhance your career through learning and development.

    We offer a wide range of benefits at Pinnacle Group, dependant on your role or business area, these range from additional leave packages to pension plans and discounts at your favourite retailers.

    • Maternity/paternity packages
    • Flexible Working Arrangements
    • Life Assurance
    • Enhanced Pension Scheme
    • Additional Annual Leave
    • Private Medical Insurance
    • Cycle to Work Scheme
    • Employee Assistance Programme
    • Retail Discounts
    • Childcare Assistance
    • Season Ticket Loans
    • Sick Pay Schemes
    • Personal Development Plans
    • Company Car/Car Allowance
    • Electric Vehicle Scheme
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3993834535,https://uk.linkedin.com/jobs/view/data-modelling-analyst-at-evolution-3993834535?position=3&pageNum=5&refId=XgRu9yOwXUAmAMUkRA4S8g%3D%3D&trackingId=ud22FspFYAu3aWVdOaGQUg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Modelling Analyst,Evolution,"London, England, United Kingdom","Job Title: Data Modelling Analyst + +Job Position: Data Analyst + +Location: Remote + +Starting Salary: £27,000 - £35,000 + +About Us: Evolution HTD is an innovative hire, train, deploy organisation headquartered in Warrington, UK. We specialise in building data capabilities within the insurance sector. Our HTD Programme is a fixed 2-year commitment between Evolution and the data consultant, where customers have the option to hire the consultant permanently at the end of the agreed deployment period. + +Why Evolution: 🔥 Dynamic Data Opportunities: Immerse yourself in hands-on experiences working directly with data projects for one or more organisations within our impressive client portfolio. Tackle challenging data visualisation projects that will enhance your skills, broaden your network, and equip you with the tools to excel in data analysis and deployment. + +📚 Ongoing Data Learning: Your journey begins with intensive training in data technologies, but the learning is continuous. Over several years, you will engage in ongoing education, obtaining industry-recognised qualifications tailored to your abilities, including Data Analysis, Data Visualisation, Advanced Analytical Techniques, and more. + +🎓 Mentoring and Coaching: Thrive under the guidance of our seasoned data experts and Technical Trainers. Leverage their expertise to advance your career path in the data field. + +Job Description: + +Key Responsibilities + + +Catastrophe Management: +Run models to quantify the likelihood and severity of natural catastrophes +Process and interpret client exposure data for use in catastrophe models +Conduct sensitivity testing and provide event-response insights to clients +Collaborate with academic and industry partners to innovate solutions +Catastrophe Cyber: +Work with cyber insurance datasets and risk models +Develop and maintain global data sets and analytics offerings +Evaluate and validate cyber models +Manage client relationships and contribute to research efforts +Catastrophe Evaluation/Research: +Provide up-to-date information on natural catastrophes +Evaluate and validate catastrophe models +Test model sensitivities and validate components using third-party data +Analyze claims experience and quantify climate change impacts + + +Requirements + + +Experience: 1-3 years in data visualisation and/or business analysis roles, ideally within financial services +Skills and Requirements: +Analytical Skills: Strong logical thinking and problem-solving abilities +Attention to Detail: High attention to detail in data processing and analysis +Communication: Good communication skills, able to simplify complex ideas +Self-Starter: Initiative to work independently and collaboratively +Commercial Awareness: Understand and support clients with clarity and confidence +Technical Skills: Proficiency in programming (Python or R) is desirable +Project Management: Demonstrated ability to manage projects and coordinate activities across multiple departments +Soft Skills: Excellent communication, stakeholder management, and problem-solving skills. Ability to explain technical concepts to non-technical stakeholders +Education: Bachelor's degree in Data Science, Computer Science, Business Administration, or a related field, or equivalent experience +Show more ","
    + + + + + +
    +
    + Job Title: Data Modelling Analyst

    Job Position: Data Analyst

    Location: Remote

    Starting Salary: £27,000 - £35,000

    About Us: Evolution HTD is an innovative hire, train, deploy organisation headquartered in Warrington, UK. We specialise in building data capabilities within the insurance sector. Our HTD Programme is a fixed 2-year commitment between Evolution and the data consultant, where customers have the option to hire the consultant permanently at the end of the agreed deployment period.

    Why Evolution: 🔥 Dynamic Data Opportunities: Immerse yourself in hands-on experiences working directly with data projects for one or more organisations within our impressive client portfolio. Tackle challenging data visualisation projects that will enhance your skills, broaden your network, and equip you with the tools to excel in data analysis and deployment.

    📚 Ongoing Data Learning: Your journey begins with intensive training in data technologies, but the learning is continuous. Over several years, you will engage in ongoing education, obtaining industry-recognised qualifications tailored to your abilities, including Data Analysis, Data Visualisation, Advanced Analytical Techniques, and more.

    🎓 Mentoring and Coaching: Thrive under the guidance of our seasoned data experts and Technical Trainers. Leverage their expertise to advance your career path in the data field.

    Job Description:

    Key Responsibilities

    • Catastrophe Management:
      • Run models to quantify the likelihood and severity of natural catastrophes
      • Process and interpret client exposure data for use in catastrophe models
      • Conduct sensitivity testing and provide event-response insights to clients
      • Collaborate with academic and industry partners to innovate solutions
    • Catastrophe Cyber:
      • Work with cyber insurance datasets and risk models
      • Develop and maintain global data sets and analytics offerings
      • Evaluate and validate cyber models
      • Manage client relationships and contribute to research efforts
    • Catastrophe Evaluation/Research:
      • Provide up-to-date information on natural catastrophes
      • Evaluate and validate catastrophe models
      • Test model sensitivities and validate components using third-party data
      • Analyze claims experience and quantify climate change impacts

    Requirements

    • Experience: 1-3 years in data visualisation and/or business analysis roles, ideally within financial services
    • Skills and Requirements:
    • Analytical Skills: Strong logical thinking and problem-solving abilities
    • Attention to Detail: High attention to detail in data processing and analysis
    • Communication: Good communication skills, able to simplify complex ideas
    • Self-Starter: Initiative to work independently and collaboratively
    • Commercial Awareness: Understand and support clients with clarity and confidence
    • Technical Skills: Proficiency in programming (Python or R) is desirable
    • Project Management: Demonstrated ability to manage projects and coordinate activities across multiple departments
    • Soft Skills: Excellent communication, stakeholder management, and problem-solving skills. Ability to explain technical concepts to non-technical stakeholders
    • Education: Bachelor's degree in Data Science, Computer Science, Business Administration, or a related field, or equivalent experience
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +4004218884,https://uk.linkedin.com/jobs/view/data-analyst-at-enna-4004218884?position=5&pageNum=5&refId=XgRu9yOwXUAmAMUkRA4S8g%3D%3D&trackingId=IHxR8JJkQwmhBXybYGJ35g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,enna,"London, England, United Kingdom","Enna is a specialised recruitment agency for neurodivergent job seekers - we support candidates who identify as neurodivergent - autistic, ADHD, dyslexia, dyspraxia etc. + +About The Role + +OmniGov’s Communication’s Intelligence team are searching for a Data Analyst to join the team and help provide best in class data analysis and marketing effectiveness solutions for Omnigov, private sector clients and media agencies within OMG. Uniquely in OmniGOV, the strategic analytics team within the wider communications intelligence group runs consultancy and MMM projects with commercial clients, as well as delivering cross-government campaign analysis to OmniGOV and HM Government. + +As a Data Analyst, you will play a crucial role in our ongoing quest for understanding and insights. You’ll contribute to building and maintaining our essential Government benchmark database and knowledge system. Your responsibilities will include sophisticated data analysis, methodology evolution, and generating reports for key categories and brands. Additionally, you’ll create visualisations and automate processes related to Government files and databases. + +The role is varied, interesting and provides excellent opportunities to work with a wide range of people, techniques and solutions, within OmniGOV and the wider agency group. + +The Communications Intelligence team are a team of 16 people based in Omnicom’s impressive offices in Bankside. We are passionate about data, all types of analysis but especially strategic analysis and leading the provision of marketing effectiveness solutions for all our stakeholders. + +Role Requirements + +Government Benchmark Database Maintenance: + + +Collaborate with a Manager to add new data to the Government benchmark databases managed by Omnigov and the Benchmarking team. +Quality checks and data loading using tools like R, Python, and Power BI. + + +Support the wider Communications Intelligence Team + + +Support and mentor Junior Analysts to ensure high-quality work and a commitment to growth and development. +Engage in the wider Communications Intelligence Strategic goals to drive higher quality work for our clients. +Feed into our wider vision and strategy as a team + + +Agency Relationships + + +Support and coach Junior Data Analysts +Cultivate day-to-day relationships with users of the knowledge system within agencies and OmniGOV’s Government databases +Provide excellent service levels to agencies working with analysts and managers + + +Client Relationships + + +Support the team in consultancy engagements with Government clients +Update and build comprehensive datasets for agency pitch analysis from the knowledge database content +Deliver high-quality visualisations and effectively communicate data insights to agency clients +Use advanced analytical approaches to analyse data to establish norms and averages, interpreting findings + + +Skills Required + + +Experience in a Marketing Analytics role (MMM or similar) +Understanding of the role of media +Experience in developing analytic models +Coding proficiency (R or Python preference) +Expertise in Excel +Interested in Government marketing and media +Strong attention to detail +Good written and communication skills +Highly organised & Strong critical thinking +Willingness to Learn, energetic, determined, proactive and curious + + +Nice To Haves + + +English and maths GCSEs at grade C (4) or above or equivalents. +Degree in an analytical subject 2:1 Or higher + + +About The Agency + +OmniGov is a specialist division created to handle UK Government media buying, the largest advertiser in the UK, and a top 10 UK agency in its own right, handling over 80 very different government departments. We were originally awarded the four year contract in 2018 and late 2021 we became the first agency ever to retain the business for the next 4 years. + +Our ambition is to be the best Government Media Buying service in the world, intelligently using media to deliver public services. In doing so we want to lead the industry in the UK and be one of the best places to work and learn in the media sector. In fact, we have been Campaign’s Agency Team of the Year for the last 3 years. + +Our team of c.150 people are passionate about delivering better outcomes for the public sector. Why? This is taxpayers’ money we are dealing with, and the outcomes of these campaigns really do matter. Effectiveness is the driving factor. You will work on campaigns that can represent the most profoundly challenging issues in our society aiming to help, improve or save lives. At other times they simply aim to inform the public. But at all times they matter. To people across the UK and beyond, to us, our families and our own communities. + +We are organised across different client hubs themed by government priority nationally, regionally and internationally. + +Our core teams and expertise encompass Account Management, Effectiveness & Evaluation, Implementation Planning and Media Activation across all channels. We also have specialist services such as Strategic partnerships, Innovation, Behavioural Planning, Communications Intelligence including Data Engineering, Reporting/Visualisation, Data Science, Strategic Analytics, Brand Safety and Data Ethics. + +OmniGOV draws from the best of Omnicom Group UK and sits as a unit within MG OMD, Campaigns Media Agency of the year 2021 and 2024, the largest agency within OMG UK and the most awarded media agency ever for IPA Effectiveness. + +Working for OmniGOV is different to other jobs in the media agency sector. Working with government can be challenging, dynamic and demands the highest standards, but above all it is important work and rewarding. We believe there is no better place to learn and grow in the industry. +Show more ","
    + + + + + +
    +
    + Enna is a specialised recruitment agency for neurodivergent job seekers - we support candidates who identify as neurodivergent - autistic, ADHD, dyslexia, dyspraxia etc.

    About The Role

    OmniGov’s Communication’s Intelligence team are searching for a Data Analyst to join the team and help provide best in class data analysis and marketing effectiveness solutions for Omnigov, private sector clients and media agencies within OMG. Uniquely in OmniGOV, the strategic analytics team within the wider communications intelligence group runs consultancy and MMM projects with commercial clients, as well as delivering cross-government campaign analysis to OmniGOV and HM Government.

    As a Data Analyst, you will play a crucial role in our ongoing quest for understanding and insights. You’ll contribute to building and maintaining our essential Government benchmark database and knowledge system. Your responsibilities will include sophisticated data analysis, methodology evolution, and generating reports for key categories and brands. Additionally, you’ll create visualisations and automate processes related to Government files and databases.

    The role is varied, interesting and provides excellent opportunities to work with a wide range of people, techniques and solutions, within OmniGOV and the wider agency group.

    The Communications Intelligence team are a team of 16 people based in Omnicom’s impressive offices in Bankside. We are passionate about data, all types of analysis but especially strategic analysis and leading the provision of marketing effectiveness solutions for all our stakeholders.

    Role Requirements

    Government Benchmark Database Maintenance:

    • Collaborate with a Manager to add new data to the Government benchmark databases managed by Omnigov and the Benchmarking team.
    • Quality checks and data loading using tools like R, Python, and Power BI.

    Support the wider Communications Intelligence Team

    • Support and mentor Junior Analysts to ensure high-quality work and a commitment to growth and development.
    • Engage in the wider Communications Intelligence Strategic goals to drive higher quality work for our clients.
    • Feed into our wider vision and strategy as a team

    Agency Relationships

    • Support and coach Junior Data Analysts
    • Cultivate day-to-day relationships with users of the knowledge system within agencies and OmniGOV’s Government databases
    • Provide excellent service levels to agencies working with analysts and managers

    Client Relationships

    • Support the team in consultancy engagements with Government clients
    • Update and build comprehensive datasets for agency pitch analysis from the knowledge database content
    • Deliver high-quality visualisations and effectively communicate data insights to agency clients
    • Use advanced analytical approaches to analyse data to establish norms and averages, interpreting findings

    Skills Required

    • Experience in a Marketing Analytics role (MMM or similar)
    • Understanding of the role of media
    • Experience in developing analytic models
    • Coding proficiency (R or Python preference)
    • Expertise in Excel
    • Interested in Government marketing and media
    • Strong attention to detail
    • Good written and communication skills
    • Highly organised & Strong critical thinking
    • Willingness to Learn, energetic, determined, proactive and curious

    Nice To Haves

    • English and maths GCSEs at grade C (4) or above or equivalents.
    • Degree in an analytical subject 2:1 Or higher

    About The Agency

    OmniGov is a specialist division created to handle UK Government media buying, the largest advertiser in the UK, and a top 10 UK agency in its own right, handling over 80 very different government departments. We were originally awarded the four year contract in 2018 and late 2021 we became the first agency ever to retain the business for the next 4 years.

    Our ambition is to be the best Government Media Buying service in the world, intelligently using media to deliver public services. In doing so we want to lead the industry in the UK and be one of the best places to work and learn in the media sector. In fact, we have been Campaign’s Agency Team of the Year for the last 3 years.

    Our team of c.150 people are passionate about delivering better outcomes for the public sector. Why? This is taxpayers’ money we are dealing with, and the outcomes of these campaigns really do matter. Effectiveness is the driving factor. You will work on campaigns that can represent the most profoundly challenging issues in our society aiming to help, improve or save lives. At other times they simply aim to inform the public. But at all times they matter. To people across the UK and beyond, to us, our families and our own communities.

    We are organised across different client hubs themed by government priority nationally, regionally and internationally.

    Our core teams and expertise encompass Account Management, Effectiveness & Evaluation, Implementation Planning and Media Activation across all channels. We also have specialist services such as Strategic partnerships, Innovation, Behavioural Planning, Communications Intelligence including Data Engineering, Reporting/Visualisation, Data Science, Strategic Analytics, Brand Safety and Data Ethics.

    OmniGOV draws from the best of Omnicom Group UK and sits as a unit within MG OMD, Campaigns Media Agency of the year 2021 and 2024, the largest agency within OMG UK and the most awarded media agency ever for IPA Effectiveness.

    Working for OmniGOV is different to other jobs in the media agency sector. Working with government can be challenging, dynamic and demands the highest standards, but above all it is important work and rewarding. We believe there is no better place to learn and grow in the industry. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3997900875,https://uk.linkedin.com/jobs/view/senior-data-analyst-at-data-idols-3997900875?position=6&pageNum=5&refId=XgRu9yOwXUAmAMUkRA4S8g%3D%3D&trackingId=ttii7E76JTolSyuPX0IDDg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,Data Idols,"London, England, United Kingdom","Lead Data Analyst + + + +Salary: £70,000 - £90,000 + + + +Location: London - 3 days per week + + + +Data Idols is working with a scale-up and industry disruptor in the world of warehouse-to-doorstep delivery services. This is a great time to join this organisation as they continue to build their presence in the UK with global expansion on their roadmap. + + +As a Lead Data Analyst joining the team, you will have strong communication skills and a proactive attitude to help the operational team make decisions and make sure they always know how the business is performing. + + + + + + +The Opportunity + + + +Working with the operational teams this is an opportunity to grow your career working with talented people. + +You will work to inform, automate and optimise the decision-making using data and advanced analytics. + +This position will help the operational teams dig into the data to optimise and improve a number of interesting data challenges. + + + + + +What's in it for you? + + +£70,000 - £90,000 + + +Skills and Experience + + +Strong SQL inclduing advance techniques such as subqueries, mulitple joins, aggregations, etc. +Python +Excellent communication skills +Creating dashboards to share and present to stakeholders + +If you would like to be considered for the role and feel you would be an ideal fit with our team then please send your CV to us by clicking on the Apply button below. + + + +Lead Data Analyst + + +Show more ","
    + + + + + +
    +
    + Lead Data Analyst



    Salary: £70,000 - £90,000



    Location: London - 3 days per week

    Data Idols is working with a scale-up and industry disruptor in the world of warehouse-to-doorstep delivery services. This is a great time to join this organisation as they continue to build their presence in the UK with global expansion on their roadmap.


    As a Lead Data Analyst joining the team, you will have strong communication skills and a proactive attitude to help the operational team make decisions and make sure they always know how the business is performing.




    The Opportunity

    • Working with the operational teams this is an opportunity to grow your career working with talented people.

    • You will work to inform, automate and optimise the decision-making using data and advanced analytics.

    • This position will help the operational teams dig into the data to optimise and improve a number of interesting data challenges.




    What's in it for you?

    • £70,000 - £90,000

    Skills and Experience

    • Strong SQL inclduing advance techniques such as subqueries, mulitple joins, aggregations, etc.
    • Python
    • Excellent communication skills
    • Creating dashboards to share and present to stakeholders

    If you would like to be considered for the role and feel you would be an ideal fit with our team then please send your CV to us by clicking on the Apply button below.

    Lead Data Analyst

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3994967567,https://uk.linkedin.com/jobs/view/business-data-analyst-at-hays-3994967567?position=7&pageNum=5&refId=XgRu9yOwXUAmAMUkRA4S8g%3D%3D&trackingId=n9x5kJS1tzNVnfJyDiJDNA%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst,Hays,"City Of London, England, United Kingdom","I am currently working exclusively for a Public Sector Client who are looking to bring in an experienced Business Data Analyst to assist with a project focussed around the standardising of Data Retention policies across its application and systems estate. + +6-month Contract +£500 p/d outside IR35 +Hybrid: 1-2 days on site (Canary Wharf) + + +Key Responsibilties/Skills Required + +Map/catalogue any applications and data stores that require retention policies applied +Create a catalogue of all retention risk and develop a plan for 24/25 +Work with Info-Gov teams acting as SME +Work with the Service team to update all records for data retention +Work with the Apps team to develop a schedule for systems data review, in conjunction with records management +Create process and governance documents + +What you need to do now + +If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. + +If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. + + +Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk + +Show more ","
    + + + + + +
    +
    +

    I am currently working exclusively for a Public Sector Client who are looking to bring in an experienced Business Data Analyst to assist with a project focussed around the standardising of Data Retention policies across its application and systems estate.

    • 6-month Contract
    • £500 p/d outside IR35
    • Hybrid: 1-2 days on site (Canary Wharf)


    Key Responsibilties/Skills Required

    • Map/catalogue any applications and data stores that require retention policies applied
    • Create a catalogue of all retention risk and develop a plan for 24/25
    • Work with Info-Gov teams acting as SME
    • Work with the Service team to update all records for data retention
    • Work with the Apps team to develop a schedule for systems data review, in conjunction with records management
    • Create process and governance documents

    What you need to do now

    If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

    If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

    Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +4005859685,https://uk.linkedin.com/jobs/view/data-analyst-at-harnham-4005859685?position=8&pageNum=5&refId=XgRu9yOwXUAmAMUkRA4S8g%3D%3D&trackingId=Db%2FX4EuZbilfAi8t0rVvbw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Harnham,"London Area, United Kingdom","DATA ANALYST – PRODUCT INNOVATION + +£45,000 - £52,000 + +HYBRID – LONDON – 2-3X A WEEK + + + + +*Please note, this company is unable to offer sponsorship at this time and you must be a UK resident* + + + + +THE COMPANY + +This credit score and report service has 22 million users globally, with offices worldwide including Cape Town, Sydney, Toronto and more! They’re now looking to add to their London office. + + + + +THE ROLE + +You'll be doing deep-dive analytics on a variety of projects focusing on product innovation. You’ll be working with Senior leaders and Executives across the international business presenting your findings from the exploratory analysis that you’ve done to try and identify new products or revenue streams for the business. + + + + +SKILLS + EXPERIENCE + +Strong SQL +Visualisation tools – open to any e.g. Power BI, Tableau, Looker etc +Customer/commercial/marketing analytics experience + + + + +HOW TO APPLY + +If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below. + + + + +KEY TERMS + +IBM, Coremetrics, Google Analytics, GA, Omniture, SiteCatalyst, Adobe Analytics, Analyst, Web, Digital, Online, Website, Financial Services, Finance, A/B, Test, Split, Multivariate, MVT, Tracking, Code, Tagging, Tags, Insight, Client, Agency, Management, Strategy, CRO, Conversion, Optimisation, Optimizely, Test and Target, Adobe Target, Maxymiser, VWO, Visual Website Optimiser, Tag Manager, Tag-manager, Tagging, Tag Management, Set Up Tags, Manage Tags, Manage Tagging, Managing Tags, Managing Tagging, Setting Up Tags, Analytics Tracking, Implement Tags, Implement Tagging, Tagging Implementation, Tag Implementation, Tracking Implementation, Analytics Implementation + +Show more ","
    + + + + + +
    +
    +

    DATA ANALYST – PRODUCT INNOVATION

    £45,000 - £52,000

    HYBRID – LONDON – 2-3X A WEEK


    *Please note, this company is unable to offer sponsorship at this time and you must be a UK resident*


    THE COMPANY

    This credit score and report service has 22 million users globally, with offices worldwide including Cape Town, Sydney, Toronto and more! They’re now looking to add to their London office.


    THE ROLE

    You'll be doing deep-dive analytics on a variety of projects focusing on product innovation. You’ll be working with Senior leaders and Executives across the international business presenting your findings from the exploratory analysis that you’ve done to try and identify new products or revenue streams for the business.


    SKILLS + EXPERIENCE

    • Strong SQL
    • Visualisation tools – open to any e.g. Power BI, Tableau, Looker etc
    • Customer/commercial/marketing analytics experience


    HOW TO APPLY

    If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below.


    KEY TERMS

    IBM, Coremetrics, Google Analytics, GA, Omniture, SiteCatalyst, Adobe Analytics, Analyst, Web, Digital, Online, Website, Financial Services, Finance, A/B, Test, Split, Multivariate, MVT, Tracking, Code, Tagging, Tags, Insight, Client, Agency, Management, Strategy, CRO, Conversion, Optimisation, Optimizely, Test and Target, Adobe Target, Maxymiser, VWO, Visual Website Optimiser, Tag Manager, Tag-manager, Tagging, Tag Management, Set Up Tags, Manage Tags, Manage Tagging, Managing Tags, Managing Tagging, Setting Up Tags, Analytics Tracking, Implement Tags, Implement Tagging, Tagging Implementation, Tag Implementation, Tracking Implementation, Analytics Implementation

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4001709996,https://uk.linkedin.com/jobs/view/data-analyst-at-rapp-4001709996?position=10&pageNum=5&refId=XgRu9yOwXUAmAMUkRA4S8g%3D%3D&trackingId=sOM3xnrNJcIdBcKn428epA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,RAPP,"London, England, United Kingdom","About Rapp + +We stand up for individuality. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency’s vision. And most importantly we value every individual’s wellbeing. + +As a diversity champion, equal opportunities and disability confident employer and an ardent advocate of flexible working we understand that everyone has unique requirements and needs. + +We are a global creative agency, but the individual really is at the heart of everything we do. We use data to find out what makes them tick. We use technology to talk to them one-to-one – but to one million at a time. And we use creativity to encourage them to engage, click, buy and bond, again and again. + +Each brand is unique and has its own individual challenges. We pride ourselves in rising to each and every one of them, for brands such as KFC, Mercedes Benz, IKEA, Paypal and Virgin Media 02. + +Us + +In order to foster collaboration and relationships, our hybrid model requires three office days per week. As equal opportunities proponents, we are open to discuss any hybrid working related needs during the initial screening. + +Learning and Development is important. We all know that. Its why we have a dedicated Learning and Development team and offer regular career conversations and bespoke L&D programmes so that you can leave us with more than when you started. + +We recognise that the work of diversity, equity and inclusion calls on all of us. That’s why we set up The Neighbourhood. A collective of people, at different stages of the DE&I journey, whether impacted or allies, dedicated to helping our colleagues take ownership and effect change across 4 key pillars; Anti-racism, Disability, Gender & LGBTQ+ and Parents & Carers. + +The Health and Wellbeing of our people matters immensely. We offer Coaching opportunities for all through our partnerships with Sanctus (mental health partner who provides online coaching; you can talk about anything, personal or professional) and Sayge (1:1 professional development coaching program). We have 40 trained Mental Health First Aiders across the agency and have Babylon Health (Private GP service) for all. + +You’re better at work when you feel better in yourself. So, in addition to your annual holiday, you can take a “Me” day and an “Us” day, every year. Your “Me” day is for you to invest in yourself – go after a life goal, meditate, learn to paint, bake cakes or just have a duvet day watching Netflix! + +Your “Us” day is all about giving back and helping others – volunteer, pick litter at a local park, hang out with the elderly or raise money for a local charity. + +We’re progressive and always open to new initiatives, for example we’ve recently partnered with Fertifa (Leading Fertility and Reproductive Health benefit providers). Because we know the journey to becoming a family isn’t always easy (that includes men too), and we support our people through that journey whether you are new parent, experiencing the menopause, or anything else in between. + +Whatever stage of life you are at, we make sure you have the tools you need to have a healthy work life balance. + +US MARKETING SCIENCES + +The Marketing Sciences team at RAPP is a driving force behind the agency's success, harnessing the power of data and technology. We are superconnectors, bridging the gap between creativity, data and tech to unlock limitless possibilities and disruption. + +Our mission is to provide deep insights and a true robust understanding of our clients' businesses and marketing challenges. Our expertise is to empower our agency and the client to make data-driven decisions that directly impact performance and drive measurable results. + +From identifying the untapped value of client data to expanding its potential through data capture, rigorous analysis, and statistical techniques, we leave no stone unturned. We are split into 4 disciplines in Marketing Sciences; Data Science, Data Analytics, Data Enablement and Data Visualisation to enable us to deliver against any client data driven challenge. + +Together, we will revolutionize the way data is utilised, ensuring that every action we take contributes to the success of our clients and propels the agency forward. Welcome to a future where data and technology and your ideas push the boundaries of what's possible. + +Your Role + +In the Data Analytics team you will ensure both the voice of the customer and CFO are represented in the room with hard evidence. As well as supporting exceptional customer experiences using data, you will help ensure every action we take is directly improving performance against your clients objectives. + +As an Analyst, you will work under supervision to deliver projects within set deadlines, utilising your strong hands on analytical capabilities. Your strengths in Python and SQL will ensure you can efficiently deliver robust analytics with guidance from your team. + +Your experience with web and social analytics tools (GA / Adobe / Brandwatch / Sprinklr) and data visualisation tools (Power BI / Tableau / Looker / etc) will enable you to uncover key insights across channels and create self-service dashboards. + +You will be comfortable working as part of a team with supervision from seniors, whilst being able to execute analysis independently. + +Whilst no two days will look the same, you’ll be sharing findings back to more senior members of the team to shape for articulation to clients. + +Under the guidance of senior members of the team you support answering strategic questions using data and forge an understanding of how to deliver personalisation at scale. + +In Data Analytics you won’t be expected to build advanced segmentations and data science models, but you will develop an understanding of the art of the possible with data science, the necessary data required to fuel models and an ability to spot where a business challenge would be best supported through automation or leveraging the latest modelling techniques. + +You will have a developing interest with the omni-channel landscape and be able to develop a strong understanding of how to capture and utilise data across channels, from creating tagging and taxonomy to measurement with web analytics tools. + +Once you join the team, you will be onboarded to our product suite and playbooks and be capable of articulating and following these best-in-class approaches. + +The ideal candidate is ready to jump in. Find problems. Fix them. Build relationships. Stay up-to-date with the latest innovations. Do whatever it takes to go above and beyond. And stand up for individuality. + +Your Responsibilities + +Management + + +You will be mentored to understand how to become a manager +You will follow the direction of your line manager and manage upwards when needed + + +Client + + +Understanding clients’ objectives, their business and KPIs and step change their businesses through the power of data +Deliver and understand the role of the work briefed to you +Challenge the briefs and ambition of the work +Build relationships with analysts client side +Support the creation of best-in-class, statistically significant, measurement and reporting +Collaborate in a results-driven, test, learn and optimisation culture for the client +Communicate analytical outputs +Ensure deliverables are completed on time and learn to deliver presentation quality +Follow robust, scalable and efficient processes for delivery + +New Business / PR + + +Be aware of our new business pitches and work we are doing +Participate in thought pieces / case studies / award entries showing off your work to the industry + + +Network + + +Understand our network and other players within it + + +Evolution + + +Focus on your constant evolution - Show a desire to learn and develop core analytical skills +Understand your strengths and weaknesses and train accordingly + + +Your Skills And Experience + + +Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PHD is a plus. Degree will not be required with appropriate work experience. +1 – 2 years of relevant experience in marketing analytics, customer experience insights, performance optimization, ideally in a marketing agency or management consulting practice. +You will be expected to have an understanding and with guidance utilise our core technical skills: +Core analytical languages and software (Excel, SQL, Python, Alteryx) +Statistics +Data Visualisation tools (Power BI / Tableau / Looker / etc) +Web and Social Analytics (GA / Adobe / Brandwatch / Sprinklr) +Value engineering / Business casing +Performance Measurement and Measurement Frameworks +Data Protection / GDPR +Customer journey analysis and planning +Brief planning and writing +Progressive data capture +Segmentation and Modelling +Martech design and ecosystem tracking (tagging and taxonomy) +Developing knowledge of experimental / multivariate test design techniques. +Growing knowledge of 1st, 2nd and 3rd party data +Confident, conscientious, self-starter, a good work ethic, and capable of building good working relationships with clients as well as other team members. +Naturally curious, imaginative and have a practical approach to problem solving. +Experience jumping in, finding problems across data and process, and fixing them. +Ability to work independently as well with a team in an agile and fast environment. +Ability to develop, learn, follow and adapt repeatable processes or products to drive efficiency and consistency of delivery. + + +Recruitment process + +We’re not a 9 stage interview process agency. We like to keep recruitment swift, lean and individual and find that 2 or 3 stages gives all parties the opportunity to get to know each other. Plus we have a team on hand to answer questions throughout the process. + +We are RAPP. And we can’t wait to meet you +Show more ","
    + + + + + +
    +
    + About Rapp

    We stand up for individuality. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency’s vision. And most importantly we value every individual’s wellbeing.

    As a diversity champion, equal opportunities and disability confident employer and an ardent advocate of flexible working we understand that everyone has unique requirements and needs.

    We are a global creative agency, but the individual really is at the heart of everything we do. We use data to find out what makes them tick. We use technology to talk to them one-to-one – but to one million at a time. And we use creativity to encourage them to engage, click, buy and bond, again and again.

    Each brand is unique and has its own individual challenges. We pride ourselves in rising to each and every one of them, for brands such as KFC, Mercedes Benz, IKEA, Paypal and Virgin Media 02.

    Us

    In order to foster collaboration and relationships, our hybrid model requires three office days per week. As equal opportunities proponents, we are open to discuss any hybrid working related needs during the initial screening.

    Learning and Development is important. We all know that. Its why we have a dedicated Learning and Development team and offer regular career conversations and bespoke L&D programmes so that you can leave us with more than when you started.

    We recognise that the work of diversity, equity and inclusion calls on all of us. That’s why we set up The Neighbourhood. A collective of people, at different stages of the DE&I journey, whether impacted or allies, dedicated to helping our colleagues take ownership and effect change across 4 key pillars; Anti-racism, Disability, Gender & LGBTQ+ and Parents & Carers.

    The Health and Wellbeing of our people matters immensely. We offer Coaching opportunities for all through our partnerships with Sanctus (mental health partner who provides online coaching; you can talk about anything, personal or professional) and Sayge (1:1 professional development coaching program). We have 40 trained Mental Health First Aiders across the agency and have Babylon Health (Private GP service) for all.

    You’re better at work when you feel better in yourself. So, in addition to your annual holiday, you can take a “Me” day and an “Us” day, every year. Your “Me” day is for you to invest in yourself – go after a life goal, meditate, learn to paint, bake cakes or just have a duvet day watching Netflix!

    Your “Us” day is all about giving back and helping others – volunteer, pick litter at a local park, hang out with the elderly or raise money for a local charity.

    We’re progressive and always open to new initiatives, for example we’ve recently partnered with Fertifa (Leading Fertility and Reproductive Health benefit providers). Because we know the journey to becoming a family isn’t always easy (that includes men too), and we support our people through that journey whether you are new parent, experiencing the menopause, or anything else in between.

    Whatever stage of life you are at, we make sure you have the tools you need to have a healthy work life balance.

    US MARKETING SCIENCES

    The Marketing Sciences team at RAPP is a driving force behind the agency's success, harnessing the power of data and technology. We are superconnectors, bridging the gap between creativity, data and tech to unlock limitless possibilities and disruption.

    Our mission is to provide deep insights and a true robust understanding of our clients' businesses and marketing challenges. Our expertise is to empower our agency and the client to make data-driven decisions that directly impact performance and drive measurable results.

    From identifying the untapped value of client data to expanding its potential through data capture, rigorous analysis, and statistical techniques, we leave no stone unturned. We are split into 4 disciplines in Marketing Sciences; Data Science, Data Analytics, Data Enablement and Data Visualisation to enable us to deliver against any client data driven challenge.

    Together, we will revolutionize the way data is utilised, ensuring that every action we take contributes to the success of our clients and propels the agency forward. Welcome to a future where data and technology and your ideas push the boundaries of what's possible.

    Your Role

    In the Data Analytics team you will ensure both the voice of the customer and CFO are represented in the room with hard evidence. As well as supporting exceptional customer experiences using data, you will help ensure every action we take is directly improving performance against your clients objectives.

    As an Analyst, you will work under supervision to deliver projects within set deadlines, utilising your strong hands on analytical capabilities. Your strengths in Python and SQL will ensure you can efficiently deliver robust analytics with guidance from your team.

    Your experience with web and social analytics tools (GA / Adobe / Brandwatch / Sprinklr) and data visualisation tools (Power BI / Tableau / Looker / etc) will enable you to uncover key insights across channels and create self-service dashboards.

    You will be comfortable working as part of a team with supervision from seniors, whilst being able to execute analysis independently.

    Whilst no two days will look the same, you’ll be sharing findings back to more senior members of the team to shape for articulation to clients.

    Under the guidance of senior members of the team you support answering strategic questions using data and forge an understanding of how to deliver personalisation at scale.

    In Data Analytics you won’t be expected to build advanced segmentations and data science models, but you will develop an understanding of the art of the possible with data science, the necessary data required to fuel models and an ability to spot where a business challenge would be best supported through automation or leveraging the latest modelling techniques.

    You will have a developing interest with the omni-channel landscape and be able to develop a strong understanding of how to capture and utilise data across channels, from creating tagging and taxonomy to measurement with web analytics tools.

    Once you join the team, you will be onboarded to our product suite and playbooks and be capable of articulating and following these best-in-class approaches.

    The ideal candidate is ready to jump in. Find problems. Fix them. Build relationships. Stay up-to-date with the latest innovations. Do whatever it takes to go above and beyond. And stand up for individuality.

    Your Responsibilities

    Management

    • You will be mentored to understand how to become a manager
    • You will follow the direction of your line manager and manage upwards when needed

    Client

    • Understanding clients’ objectives, their business and KPIs and step change their businesses through the power of data
      • Deliver and understand the role of the work briefed to you
      • Challenge the briefs and ambition of the work
      • Build relationships with analysts client side
      • Support the creation of best-in-class, statistically significant, measurement and reporting
      • Collaborate in a results-driven, test, learn and optimisation culture for the client
      • Communicate analytical outputs
      • Ensure deliverables are completed on time and learn to deliver presentation quality
      • Follow robust, scalable and efficient processes for delivery
    New Business / PR

    • Be aware of our new business pitches and work we are doing
    • Participate in thought pieces / case studies / award entries showing off your work to the industry

    Network

    • Understand our network and other players within it

    Evolution

    • Focus on your constant evolution - Show a desire to learn and develop core analytical skills
    • Understand your strengths and weaknesses and train accordingly

    Your Skills And Experience

  • Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PHD is a plus. Degree will not be required with appropriate work experience.
  • 1 – 2 years of relevant experience in marketing analytics, customer experience insights, performance optimization, ideally in a marketing agency or management consulting practice.
  • You will be expected to have an understanding and with guidance utilise our core technical skills:
    • Core analytical languages and software (Excel, SQL, Python, Alteryx)
    • Statistics
    • Data Visualisation tools (Power BI / Tableau / Looker / etc)
    • Web and Social Analytics (GA / Adobe / Brandwatch / Sprinklr)
    • Value engineering / Business casing
    • Performance Measurement and Measurement Frameworks
    • Data Protection / GDPR
    • Customer journey analysis and planning
    • Brief planning and writing
    • Progressive data capture
    • Segmentation and Modelling
    • Martech design and ecosystem tracking (tagging and taxonomy)
    • Developing knowledge of experimental / multivariate test design techniques.
    • Growing knowledge of 1st, 2nd and 3rd party data
    • Confident, conscientious, self-starter, a good work ethic, and capable of building good working relationships with clients as well as other team members.
    • Naturally curious, imaginative and have a practical approach to problem solving.
    • Experience jumping in, finding problems across data and process, and fixing them.
    • Ability to work independently as well with a team in an agile and fast environment.
    • Ability to develop, learn, follow and adapt repeatable processes or products to drive efficiency and consistency of delivery.

    Recruitment process

    We’re not a 9 stage interview process agency. We like to keep recruitment swift, lean and individual and find that 2 or 3 stages gives all parties the opportunity to get to know each other. Plus we have a team on hand to answer questions throughout the process.

    We are RAPP. And we can’t wait to meet you +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +4008624910,https://uk.linkedin.com/jobs/view/data-analyst-at-the-sun-4008624910?position=4&pageNum=7&refId=mNQmGO5MfpMX9HOsFSTn0w%3D%3D&trackingId=R4f0Z6Vp3FOYOLVppmE8YA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,The Sun,"London Area, United Kingdom","We are News UK: One of the leading media businesses in the UK and Ireland, our newsbrands include The Times, The Sunday Times, The Sun, The Sun on Sunday and The TLS. Our national broadcast brands include talkSPORT, Times Radio, talkRADIO and Virgin Radio UK, and we have market-leading local radio stations across Ireland. Our world-famous brands provide news, analysis, opinion and entertainment to almost 40 million people each month. Spanning digital and print, audio and video, events and experiences, our brands are home to a plurality of opinion, representing the diverse communities we serve. News UK is wholly owned by News Corp. + + + + +The Sun is Britain’s largest newspaper which launched in 1969 with the slogan ‘forward with the people’, because that is what we believe in. We are a group of talented, dedicated, and creative people with a real passion for delivering real stories to our ever-growing audiences. Our newspapers and digital products include some of the most powerful storytelling, reaching over 30 million people each month. The Sun is more than a newspaper. It is an entertainer, a cultural reference point, and a finger on the pulse. + + + + +Your Team: You’ll be joining the Analytics team to help maximise our relationship with the 30m+ monthly readers of The Sun, contributing to continued annual growth. We are at the forefront of innovative approaches to both data and customer experience, evidenced by the team recently winning 4 ‘best use of data’ awards, living up to our vision of driving the business through data. + + + + +Your Role: You will add value by partnering with senior stakeholder groups across The Sun to drive customer behaviour and advise on how we can utilise our data to meet our objectives. You will work closely with teams including the Newsrooms, Product Development, Marketing, User Experience and Technology to provide innovative ideas and actionable insights to improve decision making, content commissioning and ultimately engagement and upsell. + + + + +Day to day you will: + +Generate Actionable Insights: Work with key stakeholders from Products, CRM, Audience, Marketing & Promotions and others. Produce automated reporting, provide in-depth analysis and actionable insights to improve decision making within Product, Editorial, Marketing & Promotions, Audience, etc., ultimately contributing to audience growth and increasing revenue. +Collaborate with Technical Teams: Work closely with Data Engineering, Architecture, and Analytics Implementation teams to ensure smooth data flow and accurate reporting. Your collaboration will ensure that data is effectively utilised across all departments. +Enable Strategic Decision-Making: Engage with senior stakeholders to translate data insights into actionable strategies. Participate in business meetings, identify critical data needs, and assist in crafting clear, actionable recommendations that align with business goals. + + + + +What we’re looking for from you: + +Utilise SQL in Google BigQuery to manipulate and process large data sets to enable concise reporting and analysis. +Embrace the challenge of visualising data in a meaningful and actionable way in Tableau & Looker Studio. +Enjoy presenting and communicating detailed analysis to non-technical stakeholders. +Develop the technical understanding in the area of expertise in your role, be it in customer acquisition, churn, A/B tests, digital audience measurement or commercial advertising. +An understanding of the subscription business and how data can be used to support different elements of the subscription funnel. +A clear understanding of the media landscape across print, digital, radio and television. + + + + +If you think you have what it takes but don’t tick every requirement on the list, please do apply. We recognise that considering someone’s potential as well as their experience is a great way to hire. We want to hear from people who have a passion to learn and develop. + + + + +Life at News: Driven by passion, guided by principles and acting with purpose. We represent, reflect and reach the nation, telling the stories that matter. We inform our audiences so that they can make decisions based on trusted information. + + + + +To do this, we believe our employees must represent different backgrounds, perspectives and experiences. We strive to maximise and encourage every individual’s potential and ensure everyone feels valued. We support this through our Diversity, Equity and Inclusion Strategy, which focuses on three main priorities - attracting talent from a wider, more representative pool, developing equity programmes to drive better representation in our leadership, and ensuring diversity and inclusivity in our workforce as well as the journalism and content we produce. We also currently have 12 employee led networks and groups that support our strategy and connect like minded employees socially. + + + + +Benefits: + +Some of our benefits include: + +Maternity leave up to 18 weeks full basic salary & paternity leave up to 2 weeks +Wide range of training available, plus full LinkedIn Learning access +Private medical insurance including coverage for pre-existing conditions +Discounted gym memberships, free ClassPass at Home, weekly virtual yoga classes +‘Bikes for Work’ and ‘Electric Car’ scheme +Up to 60% discount on Harper Collins books +Access to exclusive events and competitions with exciting brands such as talkSPORT, Virgin Radio UK & The Times. Weekly virtual panel chats with top journalists and celebrities +Access to wellbeing benefits such as EAP, physio/massage and counselling +A generous pension scheme with employer contributions of up to 5% +25 days holiday, plus bank holidays and up to 4 volunteering days per year +Thriving employee networks supporting colleagues to embed and grow, including women in technology, parenting, wellbeing, GenZ, NewsIsOut and faith-oriented groups. + + + + +We want to ensure that everyone we meet has the opportunity to perform to their best when applying for a role. Please let us know, at any stage, whether you require any reasonable adjustments during the recruitment process, and we will do our best to accommodate. + +Show more ","
    + + + + + +
    +
    +

    We are News UK: One of the leading media businesses in the UK and Ireland, our newsbrands include The Times, The Sunday Times, The Sun, The Sun on Sunday and The TLS. Our national broadcast brands include talkSPORT, Times Radio, talkRADIO and Virgin Radio UK, and we have market-leading local radio stations across Ireland. Our world-famous brands provide news, analysis, opinion and entertainment to almost 40 million people each month. Spanning digital and print, audio and video, events and experiences, our brands are home to a plurality of opinion, representing the diverse communities we serve. News UK is wholly owned by News Corp.


    The Sun is Britain’s largest newspaper which launched in 1969 with the slogan ‘forward with the people’, because that is what we believe in. We are a group of talented, dedicated, and creative people with a real passion for delivering real stories to our ever-growing audiences. Our newspapers and digital products include some of the most powerful storytelling, reaching over 30 million people each month. The Sun is more than a newspaper. It is an entertainer, a cultural reference point, and a finger on the pulse.


    Your Team: You’ll be joining the Analytics team to help maximise our relationship with the 30m+ monthly readers of The Sun, contributing to continued annual growth. We are at the forefront of innovative approaches to both data and customer experience, evidenced by the team recently winning 4 ‘best use of data’ awards, living up to our vision of driving the business through data.


    Your Role: You will add value by partnering with senior stakeholder groups across The Sun to drive customer behaviour and advise on how we can utilise our data to meet our objectives. You will work closely with teams including the Newsrooms, Product Development, Marketing, User Experience and Technology to provide innovative ideas and actionable insights to improve decision making, content commissioning and ultimately engagement and upsell.


    Day to day you will:

    • Generate Actionable Insights: Work with key stakeholders from Products, CRM, Audience, Marketing & Promotions and others. Produce automated reporting, provide in-depth analysis and actionable insights to improve decision making within Product, Editorial, Marketing & Promotions, Audience, etc., ultimately contributing to audience growth and increasing revenue.
    • Collaborate with Technical Teams: Work closely with Data Engineering, Architecture, and Analytics Implementation teams to ensure smooth data flow and accurate reporting. Your collaboration will ensure that data is effectively utilised across all departments.
    • Enable Strategic Decision-Making: Engage with senior stakeholders to translate data insights into actionable strategies. Participate in business meetings, identify critical data needs, and assist in crafting clear, actionable recommendations that align with business goals.


    What we’re looking for from you:

    • Utilise SQL in Google BigQuery to manipulate and process large data sets to enable concise reporting and analysis.
    • Embrace the challenge of visualising data in a meaningful and actionable way in Tableau & Looker Studio.
    • Enjoy presenting and communicating detailed analysis to non-technical stakeholders.
    • Develop the technical understanding in the area of expertise in your role, be it in customer acquisition, churn, A/B tests, digital audience measurement or commercial advertising.
    • An understanding of the subscription business and how data can be used to support different elements of the subscription funnel.
    • A clear understanding of the media landscape across print, digital, radio and television.


    If you think you have what it takes but don’t tick every requirement on the list, please do apply. We recognise that considering someone’s potential as well as their experience is a great way to hire. We want to hear from people who have a passion to learn and develop.


    Life at News: Driven by passion, guided by principles and acting with purpose. We represent, reflect and reach the nation, telling the stories that matter. We inform our audiences so that they can make decisions based on trusted information.


    To do this, we believe our employees must represent different backgrounds, perspectives and experiences. We strive to maximise and encourage every individual’s potential and ensure everyone feels valued. We support this through our Diversity, Equity and Inclusion Strategy, which focuses on three main priorities - attracting talent from a wider, more representative pool, developing equity programmes to drive better representation in our leadership, and ensuring diversity and inclusivity in our workforce as well as the journalism and content we produce. We also currently have 12 employee led networks and groups that support our strategy and connect like minded employees socially.


    Benefits:

    Some of our benefits include:

    • Maternity leave up to 18 weeks full basic salary & paternity leave up to 2 weeks
    • Wide range of training available, plus full LinkedIn Learning access
    • Private medical insurance including coverage for pre-existing conditions
    • Discounted gym memberships, free ClassPass at Home, weekly virtual yoga classes
    • ‘Bikes for Work’ and ‘Electric Car’ scheme
    • Up to 60% discount on Harper Collins books
    • Access to exclusive events and competitions with exciting brands such as talkSPORT, Virgin Radio UK & The Times. Weekly virtual panel chats with top journalists and celebrities
    • Access to wellbeing benefits such as EAP, physio/massage and counselling
    • A generous pension scheme with employer contributions of up to 5%
    • 25 days holiday, plus bank holidays and up to 4 volunteering days per year
    • Thriving employee networks supporting colleagues to embed and grow, including women in technology, parenting, wellbeing, GenZ, NewsIsOut and faith-oriented groups.


    We want to ensure that everyone we meet has the opportunity to perform to their best when applying for a role. Please let us know, at any stage, whether you require any reasonable adjustments during the recruitment process, and we will do our best to accommodate.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +3997735894,https://uk.linkedin.com/jobs/view/business-intelligence-analyst-at-intec-select-3997735894?position=5&pageNum=7&refId=mNQmGO5MfpMX9HOsFSTn0w%3D%3D&trackingId=yiNmZTm7x%2BIMLKdh2hNMgQ%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Analyst,Intec Select,"London Area, United Kingdom","BI Consulting Analyst - Financial Services – SQL / Python / Spark + + + + +Overview: + +We’re currently partnered with a leading global Supply Chain business who possess over 150 years of experience in commodity trading. They are looking for a BI Consulting Analyst to join the business and take ownership in helping key clients reduce costs and carbon emissions by utilising advanced tech and AI to help solve complex optimisation issues throughout the supply chain. This includes warehouse allocation, optimal routing and manufacturing inputs (ingredients). + + + + +Role & Responsibilities: + +Collaborate with clients to understand their business objectives and BI requirements. +Develop, implement, and maintain BI solutions using tools such as Tableau, Power BI, QlikView, or similar. +Analyse complex data sets to identify trends, patterns, and actionable insights. +Create and deliver compelling data visualizations and reports that facilitate strategic decision-making. +Provide training and support to clients on BI tools and best practices. +Conduct data validation and ensure data accuracy and integrity. +Stay updated with the latest BI trends and technologies to provide innovative solutions. +Assist in the development of BI strategies and roadmaps for clients. +Use AI to enhance processes and drive value across the business. + + + + +Essential Skills & Experience: + +2+ years of experience in BI, data analytics, or a related role. +Previous experience or a genuine interest in supply chain consulting or optimisation problems. +Confident using Python, Spark & SQL. +Proficiency in BI tools such as Tableau, Power BI, QlikView, or similar. +Strong SQL skills and experience with database management. +Excellent analytical and problem-solving abilities. +Strong communication and presentation skills. +Ability to work independently and as part of a team. + + + + +Package: + +Competitive salary +Show more ","
    + + + + + +
    +
    +

    BI Consulting Analyst - Financial Services – SQL / Python / Spark


    Overview:

    We’re currently partnered with a leading global Supply Chain business who possess over 150 years of experience in commodity trading. They are looking for a BI Consulting Analyst to join the business and take ownership in helping key clients reduce costs and carbon emissions by utilising advanced tech and AI to help solve complex optimisation issues throughout the supply chain. This includes warehouse allocation, optimal routing and manufacturing inputs (ingredients).


    Role & Responsibilities:

    • Collaborate with clients to understand their business objectives and BI requirements.
    • Develop, implement, and maintain BI solutions using tools such as Tableau, Power BI, QlikView, or similar.
    • Analyse complex data sets to identify trends, patterns, and actionable insights.
    • Create and deliver compelling data visualizations and reports that facilitate strategic decision-making.
    • Provide training and support to clients on BI tools and best practices.
    • Conduct data validation and ensure data accuracy and integrity.
    • Stay updated with the latest BI trends and technologies to provide innovative solutions.
    • Assist in the development of BI strategies and roadmaps for clients.
    • Use AI to enhance processes and drive value across the business.


    Essential Skills & Experience:

    • 2+ years of experience in BI, data analytics, or a related role.
    • Previous experience or a genuine interest in supply chain consulting or optimisation problems.
    • Confident using Python, Spark & SQL.
    • Proficiency in BI tools such as Tableau, Power BI, QlikView, or similar.
    • Strong SQL skills and experience with database management.
    • Excellent analytical and problem-solving abilities.
    • Strong communication and presentation skills.
    • Ability to work independently and as part of a team.


    Package:

    • Competitive salary
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    ",2024-08-12,[] +4006574224,https://uk.linkedin.com/jobs/view/data-insight-analyst-at-harnham-4006574224?position=6&pageNum=7&refId=mNQmGO5MfpMX9HOsFSTn0w%3D%3D&trackingId=gX7hl02H80CcMH87OpDgrA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Insight Analyst,Harnham,"London Area, United Kingdom","DATA INSIGHT ANALYST + +UP TO £52,000 + +HYBRID – LONDON – 2 days a week in London + + + + +THE COMPANY + +This well-renowned fintech are growing out their data & analytics function, and this role sits in their product innovation team, working closely with senior stakeholders globally! + + + + +THE ROLE + +As a Data Insight Analyst, you can expect to be involved in the following: + +Focusing on deep-dive analytics across a variety of different projects +Working with senior leadership and execs, delivering insights to them +Identifying new revenue streams for the business and looking at how products can be monetised +Looking at how to leverage ML models to further personalise experiences + +YOUR SKILLS AND EXPERIENCE + +SQL experience required +Experience using any data visualisation tool is needed +Python experience is a plus, but by no means necessary +Insights experience is essential + +BENEFITS + +Salary up to £52,000 +Hybrid working +Modern office +Opportunity to work with global stakeholders + +How to apply + +Express your interest by sending your CV to Theo via the apply link on this page + +Show more ","
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    DATA INSIGHT ANALYST

    UP TO £52,000

    HYBRID – LONDON – 2 days a week in London


    THE COMPANY

    This well-renowned fintech are growing out their data & analytics function, and this role sits in their product innovation team, working closely with senior stakeholders globally!


    THE ROLE

    As a Data Insight Analyst, you can expect to be involved in the following:

    • Focusing on deep-dive analytics across a variety of different projects
    • Working with senior leadership and execs, delivering insights to them
    • Identifying new revenue streams for the business and looking at how products can be monetised
    • Looking at how to leverage ML models to further personalise experiences

    YOUR SKILLS AND EXPERIENCE

    • SQL experience required
    • Experience using any data visualisation tool is needed
    • Python experience is a plus, but by no means necessary
    • Insights experience is essential

    BENEFITS

    • Salary up to £52,000
    • Hybrid working
    • Modern office
    • Opportunity to work with global stakeholders

    How to apply

    Express your interest by sending your CV to Theo via the apply link on this page

    +
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    + +
    ",2024-08-21,[] +3997390323,https://uk.linkedin.com/jobs/view/data-analyst-at-the-thought-exchange-llc-center-for-personal-achievement-3997390323?position=7&pageNum=7&refId=mNQmGO5MfpMX9HOsFSTn0w%3D%3D&trackingId=Dy%2FY4cinpTLPD9IvqAB9sg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,"The Thought Exchange, LLC Center for Personal Achievement","Walton-On-Thames, England, United Kingdom","Data Analyst - Construction Engineering Company + +Hybrid working + +£55-65k Depending On Experience + +We are seeking a talented and motivated Data Analyst for our client, a highly reputable construction engineering company. As a self-starter with a strong code-based background, you'll play a crucial role in interpreting existing data, providing insights, and supporting decision-making processes. If you're passionate about transforming data into actionable plans, this opportunity is for you! + +Key Responsibilities + + +Collaborate with cross-functional teams to analyse business metrics using tools like Excel, SQL, Power BI, and Python. +Develop visualizations and reports to enhance decision-making. +Contribute to data-driven initiatives, including improving bids, financial forecasting, and continual improvement. +Work closely with data engineers to ensure seamless data pipelines and ETL processes. + + +Requirements + + +Proven experience as a Data Analyst, preferably from a Data Engineering background +Strong fundamentals in the entire data lifecycle. +Familiarity with Azure fundamentals, Azure Data Factory, and strong SQL skills. +Proficiency in Python for data manipulation and analysis. +Excellent problem-solving, quantitative, and analytical skills. + + +If you're ready to make an impact and thrive in a dynamic environment, apply now! +Show more ","
    + + + + + +
    +
    + Data Analyst - Construction Engineering Company

    Hybrid working

    £55-65k Depending On Experience

    We are seeking a talented and motivated Data Analyst for our client, a highly reputable construction engineering company. As a self-starter with a strong code-based background, you'll play a crucial role in interpreting existing data, providing insights, and supporting decision-making processes. If you're passionate about transforming data into actionable plans, this opportunity is for you!

    Key Responsibilities

    • Collaborate with cross-functional teams to analyse business metrics using tools like Excel, SQL, Power BI, and Python.
    • Develop visualizations and reports to enhance decision-making.
    • Contribute to data-driven initiatives, including improving bids, financial forecasting, and continual improvement.
    • Work closely with data engineers to ensure seamless data pipelines and ETL processes.

    Requirements

    • Proven experience as a Data Analyst, preferably from a Data Engineering background
    • Strong fundamentals in the entire data lifecycle.
    • Familiarity with Azure fundamentals, Azure Data Factory, and strong SQL skills.
    • Proficiency in Python for data manipulation and analysis.
    • Excellent problem-solving, quantitative, and analytical skills.

    If you're ready to make an impact and thrive in a dynamic environment, apply now! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3997375106,https://uk.linkedin.com/jobs/view/data-analyst-at-context-recruitment-3997375106?position=8&pageNum=7&refId=mNQmGO5MfpMX9HOsFSTn0w%3D%3D&trackingId=0dnv9FYvL0O9ubVctFnrsA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Context Recruitment,"Walton-On-Thames, England, United Kingdom","Data Analyst - Construction Engineering Company + +Hybrid working + +£55-65k depending on experience + +We are seeking a talented and motivated Data Analyst for our client, a highly reputable construction engineering company. As a self-starter with a strong code-based background, you'll play a crucial role in interpreting existing data, providing insights, and supporting decision-making processes. If you're passionate about transforming data into actionable plans, this opportunity is for you! + +Key Responsibilities: + +Collaborate with cross-functional teams to analyse business metrics using tools like Excel, SQL, Power BI, and Python. + +Develop visualizations and reports to enhance decision-making. + +Contribute to data-driven initiatives, including improving bids, financial forecasting, and continual improvement. + +Work closely with data engineers to ensure seamless data pipelines and ETL processes.Requirements: + +Proven experience as a Data Analyst, preferably from a Data Engineering background + +Strong fundamentals in the entire data lifecycle. + +Familiarity with Azure fundamentals, Azure Data Factory, and strong SQL skills. + +Proficiency in Python for data manipulation and analysis. + +Excellent problem-solving, quantitative, and analytical skills.If you're ready to make an impact and thrive in a dynamic environment, apply now +Show more ","
    + + + + + +
    +
    + Data Analyst - Construction Engineering Company

    Hybrid working

    £55-65k depending on experience

    We are seeking a talented and motivated Data Analyst for our client, a highly reputable construction engineering company. As a self-starter with a strong code-based background, you'll play a crucial role in interpreting existing data, providing insights, and supporting decision-making processes. If you're passionate about transforming data into actionable plans, this opportunity is for you!

    Key Responsibilities:

    Collaborate with cross-functional teams to analyse business metrics using tools like Excel, SQL, Power BI, and Python.

    Develop visualizations and reports to enhance decision-making.

    Contribute to data-driven initiatives, including improving bids, financial forecasting, and continual improvement.

    Work closely with data engineers to ensure seamless data pipelines and ETL processes.Requirements:

    Proven experience as a Data Analyst, preferably from a Data Engineering background

    Strong fundamentals in the entire data lifecycle.

    Familiarity with Azure fundamentals, Azure Data Factory, and strong SQL skills.

    Proficiency in Python for data manipulation and analysis.

    Excellent problem-solving, quantitative, and analytical skills.If you're ready to make an impact and thrive in a dynamic environment, apply now +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4004561929,https://uk.linkedin.com/jobs/view/investment-data-analyst-at-hays-4004561929?position=3&pageNum=10&refId=dXT6IeSURpoAZ50eFcLxfQ%3D%3D&trackingId=FApcOwdmpFgS8PYcnUQlpQ%3D%3D&trk=public_jobs_jserp-result_search-card,Investment Data Analyst,Hays,"London Area, United Kingdom","Join our client’s dynamic and award-winning in-house investment team, managing billions in assets. Our long-established client, based in the heart of the City of London, has created a new Investment Data Analyst position to deliver timely data and reporting to a collaborative and supportive front office team. The Investment Team is at the forefront of the market, dedicated to delivering excellence and sustainability across a wide range of asset classes, from vanilla bonds to hedge funds, private markets to direct property. + + + + +In this newly created role, you will establish and develop reporting and analytics for the front office, providing detailed insights into the investment management business. Collaborating with the investment team, including Responsible Investing, you will build an array of reporting and analytics to answer key questions around portfolio management, scheme and fund performance, investment risk, climate, and ESG data for example. + + + + +You will lead the migration of analytics data into the cloud, construct data models, and enhance data extractions from providers using APIs and flat files. Proficiency in Excel, including VBA, is essential. While prior experience with Power BI, Charles River, or Barra is not required, a solid understanding of data warehousing and advanced Excel skills are highly desirable. + + + + +You will engage with external asset managers to streamline data collection and develop import templates for accurate data integration. As a data steward, you will ensure data accuracy within third-party systems and take ownership of resolving data issues to improve quality. Although this is a newly created role, there is existing reporting that requires rationalisation, and plenty of opportunities to develop more insightful reporting for the front office. + + + + +In return, this fast-growing boutique firm offers a small, dynamic environment where the front office and middle office are seamlessly integrated. This provides enormous scope to learn, take on strategic projects, and drive the business forward. You will have the opportunity to assume additional responsibilities and play a key role in shaping the future of the firm. To be considered, candidates must hold an analytical degree and be either an accomplished Investment Data Analyst with around four years of experience or a graduate with at least 12 months of work experience or an internship focused on financial data analysis and reporting. + +Show more ","
    + + + + + +
    +
    +

    Join our client’s dynamic and award-winning in-house investment team, managing billions in assets. Our long-established client, based in the heart of the City of London, has created a new Investment Data Analyst position to deliver timely data and reporting to a collaborative and supportive front office team. The Investment Team is at the forefront of the market, dedicated to delivering excellence and sustainability across a wide range of asset classes, from vanilla bonds to hedge funds, private markets to direct property.


    In this newly created role, you will establish and develop reporting and analytics for the front office, providing detailed insights into the investment management business. Collaborating with the investment team, including Responsible Investing, you will build an array of reporting and analytics to answer key questions around portfolio management, scheme and fund performance, investment risk, climate, and ESG data for example.


    You will lead the migration of analytics data into the cloud, construct data models, and enhance data extractions from providers using APIs and flat files. Proficiency in Excel, including VBA, is essential. While prior experience with Power BI, Charles River, or Barra is not required, a solid understanding of data warehousing and advanced Excel skills are highly desirable.


    You will engage with external asset managers to streamline data collection and develop import templates for accurate data integration. As a data steward, you will ensure data accuracy within third-party systems and take ownership of resolving data issues to improve quality. Although this is a newly created role, there is existing reporting that requires rationalisation, and plenty of opportunities to develop more insightful reporting for the front office.


    In return, this fast-growing boutique firm offers a small, dynamic environment where the front office and middle office are seamlessly integrated. This provides enormous scope to learn, take on strategic projects, and drive the business forward. You will have the opportunity to assume additional responsibilities and play a key role in shaping the future of the firm. To be considered, candidates must hold an analytical degree and be either an accomplished Investment Data Analyst with around four years of experience or a graduate with at least 12 months of work experience or an internship focused on financial data analysis and reporting.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3992413982,https://uk.linkedin.com/jobs/view/senior-data-analyst-mmm-at-silverdrum-3992413982?position=7&pageNum=10&refId=dXT6IeSURpoAZ50eFcLxfQ%3D%3D&trackingId=cJugPB0BzrljaP7II5NeqQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst - MMM,Silverdrum,"Greater London, England, United Kingdom","Senior Data Analyst role at a leading data consultancy, part of a wider media agency group. + + + + + + + + + + +This role requires someone with MMM (market mix modeling) and R experience, within a media business, to work across a key client. + + + + + + + + + + +You'll have experience in data extraction, building the models and reporting that data back to a MMM consultant (or presenting it yourself). + + + + + + + +Salary to £50,000. 3 days p/w in the London office. + + + + + + + +Role Summary + +The role is a rare opportunity to be right at the forefront of media and brand analytics, leveraging a leading global platform and Data Science team to aid the biggest marketers with game changing solutions around the measurement, optimisation and planning of media. + + + + + + + + + + +This role is focussed on a major automotive clients and you will work closley with media planning, strategy and broader digital teams. + + + + + + + + + + +You will: + +Work on client engagements, helping run analysis to understand media impact like (e.g. MMM or attribution), and custom projects on how to optimise media plans to maximise a client’s KPI. +Facilitate the best in class - whether it is being the expert on a new regional data set, or training other analysts on a new solution, you will help ensure that our best practice marketing solutions are supported and effective. +Learn and share - as a specialist in the region with dozens of markets, you will learn and share your work in a wide community of data scientists, marketing scientists and analysts. +This role is perfect for an experienced analyst, with existing capabilities like MMM, attribution or advance optimisation of media plans, that wants to broaden their toolbox and perfect how measurement capabilities should be combined to drive real outcomes for brands and clients. + + + + + + + + + + +Responsibilities + +Delivering analyses to clients across variety of solutions, e.g. MMM, attribution, and media plan optimisations. +Work with analysts to uphold the standards of delivery and meet important milestones, ensuring that we are best in class for a specific client project. +Managing project dependencies and deliverables on a day to day for existing client projects. +Delivering analyses, and formulate narrative and takeaways across variety of solutions, e.g. MMM, attribution, and media plan optimisations. +Effectively communicate marketing science/data science concepts and the results of analyses to both internal, and client teams. +Attend training sessions, seminars and workshops, and generally be abreast to the latest in tracking, measurement, mar-tech and ad-tech space. + + + + + + + + + + +Experience + +Understanding the marketing funnel and how it relates to KPIs and optimisation and planning processes. +Experience working with media reach curves. +Has keen eye on bringing analysis to life. +Interest in media optimisations and supporting businesses using data. +Working experience with R, Eviews, or VBA Excel. +Grasp of statistical and optimisation techniques and bringing value to clients. +Interest in supporting junior team members and ensuring deliverables are of a sufficiently high standard and timelines are met. +Experience in a media agency or an internal marketing analytics team or equivalent. +Familiar with Google suite of advertising tools, e.g. including CM and GA360. +Have serviced internal and / or external commercial clients. +Show more ","
    + + + + + +
    +
    +

    Senior Data Analyst role at a leading data consultancy, part of a wider media agency group.




    This role requires someone with MMM (market mix modeling) and R experience, within a media business, to work across a key client.




    You'll have experience in data extraction, building the models and reporting that data back to a MMM consultant (or presenting it yourself).



    Salary to £50,000. 3 days p/w in the London office.



    Role Summary

    The role is a rare opportunity to be right at the forefront of media and brand analytics, leveraging a leading global platform and Data Science team to aid the biggest marketers with game changing solutions around the measurement, optimisation and planning of media.




    This role is focussed on a major automotive clients and you will work closley with media planning, strategy and broader digital teams.




    You will:

    • Work on client engagements, helping run analysis to understand media impact like (e.g. MMM or attribution), and custom projects on how to optimise media plans to maximise a client’s KPI.
    • Facilitate the best in class - whether it is being the expert on a new regional data set, or training other analysts on a new solution, you will help ensure that our best practice marketing solutions are supported and effective.
    • Learn and share - as a specialist in the region with dozens of markets, you will learn and share your work in a wide community of data scientists, marketing scientists and analysts.
    • This role is perfect for an experienced analyst, with existing capabilities like MMM, attribution or advance optimisation of media plans, that wants to broaden their toolbox and perfect how measurement capabilities should be combined to drive real outcomes for brands and clients.




    Responsibilities

    • Delivering analyses to clients across variety of solutions, e.g. MMM, attribution, and media plan optimisations.
    • Work with analysts to uphold the standards of delivery and meet important milestones, ensuring that we are best in class for a specific client project.
    • Managing project dependencies and deliverables on a day to day for existing client projects.
    • Delivering analyses, and formulate narrative and takeaways across variety of solutions, e.g. MMM, attribution, and media plan optimisations.
    • Effectively communicate marketing science/data science concepts and the results of analyses to both internal, and client teams.
    • Attend training sessions, seminars and workshops, and generally be abreast to the latest in tracking, measurement, mar-tech and ad-tech space.




    Experience

    • Understanding the marketing funnel and how it relates to KPIs and optimisation and planning processes.
    • Experience working with media reach curves.
    • Has keen eye on bringing analysis to life.
    • Interest in media optimisations and supporting businesses using data.
    • Working experience with R, Eviews, or VBA Excel.
    • Grasp of statistical and optimisation techniques and bringing value to clients.
    • Interest in supporting junior team members and ensuring deliverables are of a sufficiently high standard and timelines are met.
    • Experience in a media agency or an internal marketing analytics team or equivalent.
    • Familiar with Google suite of advertising tools, e.g. including CM and GA360.
    • Have serviced internal and / or external commercial clients.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3847781424,https://ca.linkedin.com/jobs/view/data-analyst-at-stripe-3847781424?position=2&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=h9mZBZtuTOlq959mOtHEcQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Stripe,Canada,"About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background. + +What you'll do + +In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling. + +Who you are + +We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems +Proficiency in SQL and Python +Strong statistical knowledge +Expertise in visualization and using data insights to make recommendations and achieve goals +Proven ability to manage and deliver on multiple projects with great attention to detail +Ability to clearly communicate results and drive impact +Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights. + + + +Preferred Qualifications + + +Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field. +Prior experience at a growth stage internet or software company. +Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines. +Good understanding of development processes and best practices like engineering standards, code reviews, and testing. + + + +Hybrid work at Stripe + +This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. + +Pay and benefits + +The annual salary range for this role in the primary location is C$128,700 - C$174,100. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. + +Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +Show more ","
    + + + + + +
    +
    + About Stripe

    Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

    About The Team

    Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

    What you'll do

    In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling.

    Who you are

    We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

    Minimum Requirements

    • 2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
    • Proficiency in SQL and Python
    • Strong statistical knowledge
    • Expertise in visualization and using data insights to make recommendations and achieve goals
    • Proven ability to manage and deliver on multiple projects with great attention to detail
    • Ability to clearly communicate results and drive impact
    • Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.


    Preferred Qualifications

    • Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
    • Prior experience at a growth stage internet or software company.
    • Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
    • Good understanding of development processes and best practices like engineering standards, code reviews, and testing.


    Hybrid work at Stripe

    This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

    Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

    A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

    Pay and benefits

    The annual salary range for this role in the primary location is C$128,700 - C$174,100. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

    Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +4004995260,https://ca.linkedin.com/jobs/view/business-data-analyst-at-genpact-4004995260?position=3&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=pDZ9EzcDryJLRqoCOprDsw%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst,Genpact,"Toronto, Ontario, Canada","Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. + + + + +Inviting applications for the role of Business Data Analyst + +Location: Toronto Canada ( 3 days onsite/week) + + + + +Skills: + +Data centric project (retail banking/fraud/AML) / work packages for Tier 2-4, low to moderate risk and regulatory projects with multiple stakeholders and across multiple LoB +Advanced to expert knowledge of capital markets products, regulatory reporting, business systems analysis, project delivery practices and standards across the project life-cycle +Data profiling of large datasets using tools like Python notebooks, SQL, MS Excel is a major plus. +Gain/acquire sound to advanced understanding of business and user interaction with technology throughout project delivery +Works independently as the senior or lead business analyst and coaches and guides members within area of expertise +Identifies and leads problem resolution for complex issues at all levels +Contributes to the communication and change management activities across multiple stakeholders +Undergraduate degree (technical or finance discipline) +Azure certification is an asset +Basic python knowledge (data analysis/profiling) is an asset. +5-7 years related business analysis experience + + + + + + + +Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at www.genpact.com and on X, Facebook, LinkedIn, and YouTube. + +Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. + +Show more ","
    + + + + + +
    +
    +

    Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.


    Inviting applications for the role of Business Data Analyst

    Location: Toronto Canada ( 3 days onsite/week)


    Skills:

    • Data centric project (retail banking/fraud/AML) / work packages for Tier 2-4, low to moderate risk and regulatory projects with multiple stakeholders and across multiple LoB
    • Advanced to expert knowledge of capital markets products, regulatory reporting, business systems analysis, project delivery practices and standards across the project life-cycle
    • Data profiling of large datasets using tools like Python notebooks, SQL, MS Excel is a major plus.
    • Gain/acquire sound to advanced understanding of business and user interaction with technology throughout project delivery
    • Works independently as the senior or lead business analyst and coaches and guides members within area of expertise
    • Identifies and leads problem resolution for complex issues at all levels
    • Contributes to the communication and change management activities across multiple stakeholders
    • Undergraduate degree (technical or finance discipline)
    • Azure certification is an asset
    • Basic python knowledge (data analysis/profiling) is an asset.
    • 5-7 years related business analysis experience



    Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at www.genpact.com and on X, Facebook, LinkedIn, and YouTube.

    Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4004386818,https://ca.linkedin.com/jobs/view/marketing-data-analyst-at-latentview-analytics-4004386818?position=4&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=Dh%2FamU7sp3MCLCNN0NLzfw%3D%3D&trk=public_jobs_jserp-result_search-card,Marketing Data Analyst,LatentView Analytics,"Toronto, Ontario, Canada","Key Responsibilities: + +Decision Support: Provide data-driven insights and recommendations to support strategic business decisions. + +Scenario Analysis: Conduct scenario analyses to evaluate potential outcomes of different business strategies. + +Risk Assessment: Identify and assess risks associated with various business decisions and propose mitigation strategies. + +Data Interpretation: Translate complex data into understandable and actionable insights for non-technical stakeholders. + +Collaboration: Work closely with business leaders to understand their objectives and provide analytical support. + +Continuous Improvement: Identify opportunities for process improvements and implement best practices in decision analysis. + +Data Visualization: Create and maintain dashboards and reports using Tableau or Power BI to visualize data trends and insights effectively. + +Data Management: Utilize SQL to extract, manipulate, and manage data from various databases, ensuring data accuracy and integrity. + + + + +Qualifications: + +Bachelor’s degree in Business, Economics, Statistics, or a related field. A master’s degree or MBA is preferred. +3+ years of experience in decision analysis, business analysis, or a related field. Strong analytical skills and experience with statistical analysis tools. +Proficiency in SQL for data extraction and manipulation. +Experience with data visualization tools such as Tableau or Power BI. +Ability to interpret complex data and present findings clearly and concisely. Excellent problem-solving and decision-making skills. +Strong communication and interpersonal skills. + +Show more ","
    + + + + + +
    +
    +

    Key Responsibilities:

    Decision Support: Provide data-driven insights and recommendations to support strategic business decisions.

    Scenario Analysis: Conduct scenario analyses to evaluate potential outcomes of different business strategies.

    Risk Assessment: Identify and assess risks associated with various business decisions and propose mitigation strategies.

    Data Interpretation: Translate complex data into understandable and actionable insights for non-technical stakeholders.

    Collaboration: Work closely with business leaders to understand their objectives and provide analytical support.

    Continuous Improvement: Identify opportunities for process improvements and implement best practices in decision analysis.

    Data Visualization: Create and maintain dashboards and reports using Tableau or Power BI to visualize data trends and insights effectively.

    Data Management: Utilize SQL to extract, manipulate, and manage data from various databases, ensuring data accuracy and integrity.


    Qualifications:

    • Bachelor’s degree in Business, Economics, Statistics, or a related field. A master’s degree or MBA is preferred.
    • 3+ years of experience in decision analysis, business analysis, or a related field. Strong analytical skills and experience with statistical analysis tools.
    • Proficiency in SQL for data extraction and manipulation.
    • Experience with data visualization tools such as Tableau or Power BI.
    • Ability to interpret complex data and present findings clearly and concisely. Excellent problem-solving and decision-making skills.
    • Strong communication and interpersonal skills.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4004881344,https://ca.linkedin.com/jobs/view/junior-data-analyst-intern-at-onedersquad-4004881344?position=6&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=irKuT3sQcerxb0YdYccW%2BQ%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst Intern,Onedersquad,"Mississauga, Ontario, Canada","We are seeking a highly motivated and detail-oriented Junior Data Analyst Intern to join our client's team for a 4-6 week internship. This internship is designed to provide hands-on experience and training in data analysis, visualization, reporting and to get the selected candidates ready for the market with the relevant expertise in their respective fields. + +Responsibilities: + + +Assist in collecting, organizing, and analysing data +Learn to create data visualizations and reports using tools like Excel, Tableau, or Power BI +Support data quality control and data cleansing efforts +Assist in developing and maintaining databases and spreadsheets +Learn to identify trends and insights from data +Collaborate with team members to understand business needs and develop solutions + + + +Requirements + + +Currently pursuing or have completed a degree in Computer Science, Mathematics, Statistics, or related field +No prior experience necessary - we're looking for eagerness to learn! +Strong analytical and problem-solving skills +Basic understanding of statistical concepts and data analysis principles +Proficiency in Microsoft Office, particularly Excel +Ability to work in a fast-paced environment and meet deadlines + + + +About Us: + +Onedersquad is a dynamic recruitment and staffing company dedicated to connecting top talent with leading organizations. Our team of expert recruiters specializes in matching exceptional candidates with rewarding career opportunities. With a passion for building lasting relationships and a commitment to excellence, we empower individuals and businesses to reach their full potential. +Show more ","
    + + + + + +
    +
    + We are seeking a highly motivated and detail-oriented Junior Data Analyst Intern to join our client's team for a 4-6 week internship. This internship is designed to provide hands-on experience and training in data analysis, visualization, reporting and to get the selected candidates ready for the market with the relevant expertise in their respective fields.

    Responsibilities:

    • Assist in collecting, organizing, and analysing data
    • Learn to create data visualizations and reports using tools like Excel, Tableau, or Power BI
    • Support data quality control and data cleansing efforts
    • Assist in developing and maintaining databases and spreadsheets
    • Learn to identify trends and insights from data
    • Collaborate with team members to understand business needs and develop solutions


    Requirements

    • Currently pursuing or have completed a degree in Computer Science, Mathematics, Statistics, or related field
    • No prior experience necessary - we're looking for eagerness to learn!
    • Strong analytical and problem-solving skills
    • Basic understanding of statistical concepts and data analysis principles
    • Proficiency in Microsoft Office, particularly Excel
    • Ability to work in a fast-paced environment and meet deadlines


    About Us:

    Onedersquad is a dynamic recruitment and staffing company dedicated to connecting top talent with leading organizations. Our team of expert recruiters specializes in matching exceptional candidates with rewarding career opportunities. With a passion for building lasting relationships and a commitment to excellence, we empower individuals and businesses to reach their full potential. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4006469993,https://ca.linkedin.com/jobs/view/data-analyst-powerbi-power-automate-at-robertson-company-ltd-4006469993?position=7&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=8%2FziH%2FmEZKNiqP0DSn42OA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - PowerBI & Power Automate,Robertson & Company Ltd.,"Toronto, Ontario, Canada","*** THIS ROLE IS WITH OUR CLIENT IN THE INSURANCE INDUSTRY*** + + + + +Title: Data Analyst II + +Duration: 12 months(with possibility of extension or conversion) + +Type: Hybrid based out of Toronto + + + + +MUST HAVE: + +1. Power BI data analytics and reporting skills + +2. 2+ years of hands-on Power BI experience with a background in data engineering or data analysis + +3. An understanding of database management, data modeling, data warehousing, SQL querying, business intelligence and online analytical processing (OLAP) + +4. background in data engineering – SQL, programming, create visualization of data sets + +5. Understanding of Financial reporting + +6. Power Apps – RBI background + +7. Power Automate experience + + + + + + + +Candidate Value Proposition + +• The successful candidate’s work product will have visibility at Clients highest leadership levels, as the outputs are reported on a biweekly and monthly cadence to executive leadership. + +• Great opportunity for networking and exposure across all levels of client and work with cutting edge latest technology + + + + +Typical Day in Role + +• Develop, manage, and report on key process indicators (KPIs) for biweekly and monthly reporting + +• Produce financial reports for inputs into project financials, resource/headcount tracking and project planning / deliverables critical to financial planning and tracking + +•Other projects as needed for executive leadership + + + + +Job Description + + + + +We are looking for a candidate with strong Power BI data analytics and reporting skills to help us with a range of reporting needs (e.g. headcount tracking, financials, key process indicators (KPIs)). + +The ideal candidate would possess a minimum of 2 years of hands-on Power BI experience with a background in data engineering or data analysis, an understanding of database management, data modeling, data warehousing, SQL querying, business intelligence and online analytical processing (OLAP). + + + + +Key focus areas would include: + +o Experience in creating data-rich dashboards, implementing row-level security in Power BI, and writing data analysis expressions (DAX) + +o Experience in data analysis/visualization using charts, reports and Dashboards generated with PBI + +o Experience in data preparation and knowledge of best practices in the collection of data from various sources and the preparation of the data with the same dimensions and measurements for smooth analysis. + + + + +How to Apply: If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson & the clients we represent, value diversity and are committed to creating an inclusive workplace. We invite all qualified individuals to apply. + + + + +Robertson & the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment. + +Show more ","
    + + + + + +
    +
    +

    *** THIS ROLE IS WITH OUR CLIENT IN THE INSURANCE INDUSTRY***


    Title: Data Analyst II

    Duration: 12 months(with possibility of extension or conversion)

    Type: Hybrid based out of Toronto


    MUST HAVE:

    1. Power BI data analytics and reporting skills

    2. 2+ years of hands-on Power BI experience with a background in data engineering or data analysis

    3. An understanding of database management, data modeling, data warehousing, SQL querying, business intelligence and online analytical processing (OLAP)

    4. background in data engineering – SQL, programming, create visualization of data sets

    5. Understanding of Financial reporting

    6. Power Apps – RBI background

    7. Power Automate experience



    Candidate Value Proposition

    • The successful candidate’s work product will have visibility at Clients highest leadership levels, as the outputs are reported on a biweekly and monthly cadence to executive leadership.

    • Great opportunity for networking and exposure across all levels of client and work with cutting edge latest technology


    Typical Day in Role

    • Develop, manage, and report on key process indicators (KPIs) for biweekly and monthly reporting

    • Produce financial reports for inputs into project financials, resource/headcount tracking and project planning / deliverables critical to financial planning and tracking

    •Other projects as needed for executive leadership


    Job Description


    We are looking for a candidate with strong Power BI data analytics and reporting skills to help us with a range of reporting needs (e.g. headcount tracking, financials, key process indicators (KPIs)).

    The ideal candidate would possess a minimum of 2 years of hands-on Power BI experience with a background in data engineering or data analysis, an understanding of database management, data modeling, data warehousing, SQL querying, business intelligence and online analytical processing (OLAP).


    Key focus areas would include:

    o Experience in creating data-rich dashboards, implementing row-level security in Power BI, and writing data analysis expressions (DAX)

    o Experience in data analysis/visualization using charts, reports and Dashboards generated with PBI

    o Experience in data preparation and knowledge of best practices in the collection of data from various sources and the preparation of the data with the same dimensions and measurements for smooth analysis.


    How to Apply: If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson & the clients we represent, value diversity and are committed to creating an inclusive workplace. We invite all qualified individuals to apply.


    Robertson & the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +3967967043,https://ca.linkedin.com/jobs/view/icqa-data-analyst-at-amazon-3967967043?position=8&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=8nc8Sq9FmsYHkGP8I11nPQ%3D%3D&trk=public_jobs_jserp-result_search-card,ICQA Data Analyst,Amazon,"Bolton, Ontario, Canada","Description + +At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate. + +Key job responsibilities + + +Development of data collection processes and data management systems +Maintenance of data integrity (0% error rate) +Designing of queries, compiling of data, and generation of reports in MS Excel +Charting and graphing of data for reporting purposes +In depth research of defect trends +Data collection and entry as needed +Data mining and problem solving +Back up for Process Assistant duties + + +Basic Qualifications + + +2+ years of professional or military experience +Experience with Microsoft Office products and applications + + +Preferred Qualifications + + +Experience with end-to-end project management + + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter. + + +Company - Amazon Canada Fulfillment Services, ULC + +Job ID: A2691613 +Show more ","
    + + + + + +
    +
    + Description

    At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate.

    Key job responsibilities

    • Development of data collection processes and data management systems
    • Maintenance of data integrity (0% error rate)
    • Designing of queries, compiling of data, and generation of reports in MS Excel
    • Charting and graphing of data for reporting purposes
    • In depth research of defect trends
    • Data collection and entry as needed
    • Data mining and problem solving
    • Back up for Process Assistant duties

    Basic Qualifications

    • 2+ years of professional or military experience
    • Experience with Microsoft Office products and applications

    Preferred Qualifications

    • Experience with end-to-end project management

    Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.


    Company - Amazon Canada Fulfillment Services, ULC

    Job ID: A2691613 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-17,[] +3967962890,https://ca.linkedin.com/jobs/view/icqa-data-analyst-at-amazon-3967962890?position=9&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=PqBRl%2FoISzBIgp%2Fzue6GPg%3D%3D&trk=public_jobs_jserp-result_search-card,ICQA Data Analyst,Amazon,"Brampton, Ontario, Canada","Description + +At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate. + +Key job responsibilities + + +Development of data collection processes and data management systems +Maintenance of data integrity (0% error rate) +Designing of queries, compiling of data, and generation of reports in MS Excel +Charting and graphing of data for reporting purposes +In depth research of defect trends +Data collection and entry as needed +Data mining and problem solving +Back up for Process Assistant duties + + +Basic Qualifications + + +2+ years of professional or military experience +Experience with Microsoft Office products and applications + + +Preferred Qualifications + + +Experience with end-to-end project management + + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter. + + +Company - Amazon Canada Fulfillment Services, ULC + +Job ID: A2691613 +Show more ","
    + + + + + +
    +
    + Description

    At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate.

    Key job responsibilities

    • Development of data collection processes and data management systems
    • Maintenance of data integrity (0% error rate)
    • Designing of queries, compiling of data, and generation of reports in MS Excel
    • Charting and graphing of data for reporting purposes
    • In depth research of defect trends
    • Data collection and entry as needed
    • Data mining and problem solving
    • Back up for Process Assistant duties

    Basic Qualifications

    • 2+ years of professional or military experience
    • Experience with Microsoft Office products and applications

    Preferred Qualifications

    • Experience with end-to-end project management

    Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.


    Company - Amazon Canada Fulfillment Services, ULC

    Job ID: A2691613 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-17,[] +4006422105,https://ca.linkedin.com/jobs/view/data-analyst-at-longo-s-4006422105?position=10&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=K9Wxoy0vtkVXtq4tJInnfA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Longo's,"Vaughan, Ontario, Canada","We are looking for a Supply Chain Data Analyst who is passionate about food and enjoys working in a fast paced, team environment! + +Do you have strong analytical skills and a keen passion for supply chain in the retail industry? + +Why not join us? + +Position: Supply Chain Data Analyst + +Job Overview: + +Functioning with minimal oversight, the Data Analyst provides statistical modeling and analysis services to support critical budgetary, operational, and strategic planning decisions. This role also takes ownership and responsibility of the On Time In Full (OTIF) and infractions process. + +Accountabilities: + +Leadership and People Management + +Demonstrates Genuine Leadership and People Management by: + +Upholding and modelling the company’s values of Honesty, Trustworthiness and Mutual Respect in all actions and behaviours +Regularly work with management team across the company to agree and accept new concepts, practices, and approaches + +Supply Chain and Optimization + +Apply LEAN manufacturing tools and methodology in the implementation of operational excellence initiatives. +Implement tools such as Gemba Walks, VSM, Lean processes, constrain management, Production Flow and other efficiency gaining methods using tools that includes: Zero Defect Processes, Kaizen events SPC, Process Capability, Pareto Analysis, Fishbone, etc. +Respond to, propose and implement effective solutions that realize efficiency improvements and cost reduction. + +Data Analysis + +Research and develop analysis, forecasting, and optimization methods to improve the quality of DC and Supply Chain processes. +Work with large and complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. +Conduct end-to-end analysis that includes data gathering and requirements specification processing, analysis and presenting ongoing deliverables. +Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis, etc.) through effective presentations of findings to multiple levels of stakeholders +Proactive management and optimization of supply chain to maximize efficiency and fulfill internal / external customers needs. + +Reporting and Administration + +Responsible for written reports and documentation including: + +Responsible for updating all daily, weekly and monthly reports for Supply Chain. +This includes; KPI’s, Fiscal Budget tracking, Volume / demand forecasting, Inventory accuracy report, Buyer replenishment maintenance, daily and weekly scorecards, forecasting analysis, etc. +Design, create and modify other reports based on business needs + +Supplier Performance + +Investigates vendor service level issues. + +Knowledge, Skills & Competencies: + +Post-secondary education from an accredited university or equivalent qualification. +Experience with mathematical programming or statistical forecasting techniques +Proven understanding and extensive experience implementing and sustaining of LEAN operational practices and tools +Excellent communication skills coupled with strong training/coaching, organizational, analytical and problem-solving skills; and the ability to effectively communicate with all levels of the organization +Demonstrated ability in developing and attaining results +Customer oriented attitude with a strong commitment to safety and quality +Experience with WMS systems +Sound knowledge of supply chain processes and distribution center operations +Solid team player who promotes a culture of professionalism, integrity, quality and teamwork +Strong computer and Analytical skills, proficient in use of MS Office Suite of products including Word, Excel, Access, Visio and PowerPoint +Uses SQL to run queries, generating reports and helping others to interpret and use data + +Working Conditions: + +Work is performed in both an office setting and a standard warehouse environment +Ability to manage multiple projects and changing priorities with regular deadlines +Ability to work a variety of shifts including evenings, weekends and holidays as business needs + + + + +Longo’s is committed to providing accommodations for people with disabilities throughout the recruitment process and, upon request, will work with qualified job applicants to provide suitable accommodation in a manner that takes into account the applicant’s accessibility needs due to disability. + +Note: A qualified job applicant with a disability is one who possesses the required skills, education, experience and training and who can, with reasonable accommodation, perform the essential functions of the position applied for. + +If you require accommodation, please contact the Human Resources Coordinator at: + +Email: hrdept@longos.com + +Show more ","
    + + + + + +
    +
    +

    We are looking for a Supply Chain Data Analyst who is passionate about food and enjoys working in a fast paced, team environment!

    Do you have strong analytical skills and a keen passion for supply chain in the retail industry?

    Why not join us?

    Position: Supply Chain Data Analyst

    Job Overview:

    Functioning with minimal oversight, the Data Analyst provides statistical modeling and analysis services to support critical budgetary, operational, and strategic planning decisions. This role also takes ownership and responsibility of the On Time In Full (OTIF) and infractions process.

    Accountabilities:

    Leadership and People Management

    Demonstrates Genuine Leadership and People Management by:

    • Upholding and modelling the company’s values of Honesty, Trustworthiness and Mutual Respect in all actions and behaviours
    • Regularly work with management team across the company to agree and accept new concepts, practices, and approaches

    Supply Chain and Optimization

    • Apply LEAN manufacturing tools and methodology in the implementation of operational excellence initiatives.
    • Implement tools such as Gemba Walks, VSM, Lean processes, constrain management, Production Flow and other efficiency gaining methods using tools that includes: Zero Defect Processes, Kaizen events SPC, Process Capability, Pareto Analysis, Fishbone, etc.
    • Respond to, propose and implement effective solutions that realize efficiency improvements and cost reduction.

    Data Analysis

    • Research and develop analysis, forecasting, and optimization methods to improve the quality of DC and Supply Chain processes.
    • Work with large and complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
    • Conduct end-to-end analysis that includes data gathering and requirements specification processing, analysis and presenting ongoing deliverables.
    • Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis, etc.) through effective presentations of findings to multiple levels of stakeholders
    • Proactive management and optimization of supply chain to maximize efficiency and fulfill internal / external customers needs.

    Reporting and Administration

    Responsible for written reports and documentation including:

    • Responsible for updating all daily, weekly and monthly reports for Supply Chain.
    • This includes; KPI’s, Fiscal Budget tracking, Volume / demand forecasting, Inventory accuracy report, Buyer replenishment maintenance, daily and weekly scorecards, forecasting analysis, etc.
    • Design, create and modify other reports based on business needs

    Supplier Performance

    Investigates vendor service level issues.

    Knowledge, Skills & Competencies:

    • Post-secondary education from an accredited university or equivalent qualification.
    • Experience with mathematical programming or statistical forecasting techniques
    • Proven understanding and extensive experience implementing and sustaining of LEAN operational practices and tools
    • Excellent communication skills coupled with strong training/coaching, organizational, analytical and problem-solving skills; and the ability to effectively communicate with all levels of the organization
    • Demonstrated ability in developing and attaining results
    • Customer oriented attitude with a strong commitment to safety and quality
    • Experience with WMS systems
    • Sound knowledge of supply chain processes and distribution center operations
    • Solid team player who promotes a culture of professionalism, integrity, quality and teamwork
    • Strong computer and Analytical skills, proficient in use of MS Office Suite of products including Word, Excel, Access, Visio and PowerPoint
    • Uses SQL to run queries, generating reports and helping others to interpret and use data

    Working Conditions:

    • Work is performed in both an office setting and a standard warehouse environment
    • Ability to manage multiple projects and changing priorities with regular deadlines
    • Ability to work a variety of shifts including evenings, weekends and holidays as business needs


    Longo’s is committed to providing accommodations for people with disabilities throughout the recruitment process and, upon request, will work with qualified job applicants to provide suitable accommodation in a manner that takes into account the applicant’s accessibility needs due to disability.

    Note: A qualified job applicant with a disability is one who possesses the required skills, education, experience and training and who can, with reasonable accommodation, perform the essential functions of the position applied for.

    If you require accommodation, please contact the Human Resources Coordinator at:

    Email: hrdept@longos.com

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    ",2024-08-23,[] +4007359029,https://ca.linkedin.com/jobs/view/analyst-data-analytics-at-ontario-health-sant%C3%A9-ontario-4007359029?position=13&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=llBlAFLek7yHkKuQsGgwmA%3D%3D&trk=public_jobs_jserp-result_search-card,"Analyst, Data Analytics",Ontario Health | Santé Ontario,"Toronto, Ontario, Canada","At Ontario Health, we are committed to developing a strong organizational culture that connects and inspires all team members across the province. Our vision is that together, we will be a leader in health and wellness for all. Our mission is to connect the health system to drive improved and equitable health outcomes, experiences and value. How we work together is reflected through our five values: integrity, inspiration, tenacity, humility and care. + +What Ontario Health Offers + +Achieving your career goals is a priority to us. Benefits of working at Ontario Health may include the following based on employment type: + + +Fully paid medical, dental and vision coverage from your first day +Health care spending account +Premium defined benefit pension plan +3 personal days and 2 float days annually +Individual contributors start at 3 weeks’ vacation with 4 weeks at 2 yrs. +Career development opportunities +A collaborative values-based team culture +A wellness programs +A hybrid working model +Participation in Communities of Inclusion + + +Want to make a difference in your career?  Consider this opportunity. + +The Analyst, Data Analytics is a strategic and hands-on role that is central to the performance and analytics of an integrated provincial network encompassing over 50 public, hospital, and community laboratories. Reporting to the Manager, Performance Management & Analytics, the Analyst is tasked with developing insightful data analysis and reporting on emerging provincial laboratory medicine issues, high-priority initiatives, and testing programs. Utilizing Ontario’s health administrative databases and other analytical tools, the Analyst will not only support the creation of data visualizations and link variables to existing datasets but also provide expert advice on measurement and data collection strategies to enhance provincial data elements. + +In their capacity, the Analyst will conduct comprehensive evaluations of administrative and clinical datasets to identify and advise on quality gaps within Ontario’s health care system, comparing data and performance against other systems to drive improvements. They will synthesize findings from relevant research with their own analyses to inform analytical plans and reporting products, guiding decision-making and policy development. Furthermore, the Analyst will employ their technical acumen to resolve complex data issues, recommend actions, and collaborate with cross-functional teams to enhance data quality and support organizational initiatives. + +Here Is What You Will Be Doing + +Data Analysis & Reporting: + + +Conduct data analysis as it relates to laboratory testing for the Ontario Laboratory Medicine Program and leverages results to inform evidence-based decisions (e.g. testing KPIs, testing access points, lab capacity, specimen collection capacity, supply chain, workforce and risks) +Create analytic products (including performance standards, metrics, targets, scorecards, technical reports, plain language documentation, infographics, and decision-making tools) to support knowledge sharing and planning for OLMP +Draft high-quality communication such as slide decks, reports, briefing notes, data visualizations, and prepares agendas and takes minutes for meetings ensuring key stakeholders have access to accurate, relevant, clean, and timely information. +Performs detailed jurisdictional scans and literature reviews and prepares presentations that summarize findings as required. + + +Operational Support & Process Improvement + + +Provide operational support for issue resolution and service request management; when needed, perform root cause analysis; identify improvements, simplify, and document processes. +Prepares and organizes documents and materials for the development, implementation and communication of operational processes and procedures to support OLMP initiatives +Support the development of automated solutions to create standardized datasets, and increase efficiency for reporting and analytics + + +Collaboration & Initiative Support + + +Collaborates with team members and uses best available information to make impactful decisions that help successfully resolve issues related to performance and data analytics +Perform cross-functional and/or other duties consistent with the job classification, as assigned or requested +Contributes to organizational efforts and initiatives, as appropriate, to enhance Ontario Health's mission, values, and goals +Supports critical change and collaborates with team to effectively socialize and shape business intelligence rules, optimized data processes, and proactively identify and implement ongoing data quality improvement opportunities Supports implementation of OLMP initiatives +Transition tasks and collaborate with other team members, providing support to more junior analysts in completing operational reporting, ad hoc queries and data requests as required and may complete such reports +Ensure processes, analyses, and reporting products adhere to Ontario Health's data protection and privacy procedures + + +Here Is What You Will Need To Be Successful + +Education and Experience + + +Post-secondary degree in Health Informatics, Statistics Data Analytics, Operations Management or a related field; Master’s degree preferred +Project Management (PMP) Certification is an asset +3-5 years of experience in operations planning, business analytics or related roles within the health care sector +Laboratory-related experience is an asset + + +Knowledge and Skills + + +Team-oriented and dedicated to promoting team development, a positive work culture, and organizational health +Proficient in the use of statistical analysis tools (e.g., Python, R, Stata, SAS), relational database management (SQL), other analytical tools (e.g. Alteryx, VBA, Tableau) and Microsoft Office applications (e.g. Excel, PowerPoint, Word) +Excellent oral and written communication skills, including the ability to create effective presentations to address questions and prepare reports, proposals and position statements +Self-directed, with enthusiasm, initiative and demonstrated ability to work independently to deadlines +Project management skills that allow for implementing and managing multiple priorities at once +Ability to work well under pressure in a fast-paced, politically sensitive environment with a high degree of ambiguity and exercise high caliber judgment with an attention to detail +Comfortable working with a wide variety of datasets—in particular, Ontario Laboratory Information administrative datasets—and with investigating and planning analysis using new datasets + + +Employment Type: Permanent Full Time + +Salary Band: 4 + +Location: Ontario (currently hybrid; subject to change) + +All applicants must be a resident of Ontario to be considered for roles at Ontario Health. + +Internal Application Deadline Date: July 18, 2024 + +Ontario Health encourages applications from candidates who are First Nations, Métis, Inuit, and urban Indigenous; Francophone; Black and racialized; members of 2SLGBTQIA+ communities; trans and nonbinary; and disabled. + +We encourage applicants with accessibility needs to notify us if they have any accommodation needs in the application and/or interview process. +Show more ","
    + + + + + +
    +
    + At Ontario Health, we are committed to developing a strong organizational culture that connects and inspires all team members across the province. Our vision is that together, we will be a leader in health and wellness for all. Our mission is to connect the health system to drive improved and equitable health outcomes, experiences and value. How we work together is reflected through our five values: integrity, inspiration, tenacity, humility and care.

    What Ontario Health Offers

    Achieving your career goals is a priority to us. Benefits of working at Ontario Health may include the following based on employment type:

    • Fully paid medical, dental and vision coverage from your first day
    • Health care spending account
    • Premium defined benefit pension plan
    • 3 personal days and 2 float days annually
    • Individual contributors start at 3 weeks’ vacation with 4 weeks at 2 yrs.
    • Career development opportunities
    • A collaborative values-based team culture
    • A wellness programs
    • A hybrid working model
    • Participation in Communities of Inclusion

    Want to make a difference in your career?  Consider this opportunity.

    The Analyst, Data Analytics is a strategic and hands-on role that is central to the performance and analytics of an integrated provincial network encompassing over 50 public, hospital, and community laboratories. Reporting to the Manager, Performance Management & Analytics, the Analyst is tasked with developing insightful data analysis and reporting on emerging provincial laboratory medicine issues, high-priority initiatives, and testing programs. Utilizing Ontario’s health administrative databases and other analytical tools, the Analyst will not only support the creation of data visualizations and link variables to existing datasets but also provide expert advice on measurement and data collection strategies to enhance provincial data elements.

    In their capacity, the Analyst will conduct comprehensive evaluations of administrative and clinical datasets to identify and advise on quality gaps within Ontario’s health care system, comparing data and performance against other systems to drive improvements. They will synthesize findings from relevant research with their own analyses to inform analytical plans and reporting products, guiding decision-making and policy development. Furthermore, the Analyst will employ their technical acumen to resolve complex data issues, recommend actions, and collaborate with cross-functional teams to enhance data quality and support organizational initiatives.

    Here Is What You Will Be Doing

    Data Analysis & Reporting:

    • Conduct data analysis as it relates to laboratory testing for the Ontario Laboratory Medicine Program and leverages results to inform evidence-based decisions (e.g. testing KPIs, testing access points, lab capacity, specimen collection capacity, supply chain, workforce and risks)
    • Create analytic products (including performance standards, metrics, targets, scorecards, technical reports, plain language documentation, infographics, and decision-making tools) to support knowledge sharing and planning for OLMP
    • Draft high-quality communication such as slide decks, reports, briefing notes, data visualizations, and prepares agendas and takes minutes for meetings ensuring key stakeholders have access to accurate, relevant, clean, and timely information.
    • Performs detailed jurisdictional scans and literature reviews and prepares presentations that summarize findings as required.

    Operational Support & Process Improvement

    • Provide operational support for issue resolution and service request management; when needed, perform root cause analysis; identify improvements, simplify, and document processes.
    • Prepares and organizes documents and materials for the development, implementation and communication of operational processes and procedures to support OLMP initiatives
    • Support the development of automated solutions to create standardized datasets, and increase efficiency for reporting and analytics

    Collaboration & Initiative Support

    • Collaborates with team members and uses best available information to make impactful decisions that help successfully resolve issues related to performance and data analytics
    • Perform cross-functional and/or other duties consistent with the job classification, as assigned or requested
    • Contributes to organizational efforts and initiatives, as appropriate, to enhance Ontario Health's mission, values, and goals
    • Supports critical change and collaborates with team to effectively socialize and shape business intelligence rules, optimized data processes, and proactively identify and implement ongoing data quality improvement opportunities Supports implementation of OLMP initiatives
    • Transition tasks and collaborate with other team members, providing support to more junior analysts in completing operational reporting, ad hoc queries and data requests as required and may complete such reports
    • Ensure processes, analyses, and reporting products adhere to Ontario Health's data protection and privacy procedures

    Here Is What You Will Need To Be Successful

    Education and Experience

    • Post-secondary degree in Health Informatics, Statistics Data Analytics, Operations Management or a related field; Master’s degree preferred
    • Project Management (PMP) Certification is an asset
    • 3-5 years of experience in operations planning, business analytics or related roles within the health care sector
    • Laboratory-related experience is an asset

    Knowledge and Skills

    • Team-oriented and dedicated to promoting team development, a positive work culture, and organizational health
    • Proficient in the use of statistical analysis tools (e.g., Python, R, Stata, SAS), relational database management (SQL), other analytical tools (e.g. Alteryx, VBA, Tableau) and Microsoft Office applications (e.g. Excel, PowerPoint, Word)
    • Excellent oral and written communication skills, including the ability to create effective presentations to address questions and prepare reports, proposals and position statements
    • Self-directed, with enthusiasm, initiative and demonstrated ability to work independently to deadlines
    • Project management skills that allow for implementing and managing multiple priorities at once
    • Ability to work well under pressure in a fast-paced, politically sensitive environment with a high degree of ambiguity and exercise high caliber judgment with an attention to detail
    • Comfortable working with a wide variety of datasets—in particular, Ontario Laboratory Information administrative datasets—and with investigating and planning analysis using new datasets

    Employment Type: Permanent Full Time

    Salary Band: 4

    Location: Ontario (currently hybrid; subject to change)

    All applicants must be a resident of Ontario to be considered for roles at Ontario Health.

    Internal Application Deadline Date: July 18, 2024

    Ontario Health encourages applications from candidates who are First Nations, Métis, Inuit, and urban Indigenous; Francophone; Black and racialized; members of 2SLGBTQIA+ communities; trans and nonbinary; and disabled.

    We encourage applicants with accessibility needs to notify us if they have any accommodation needs in the application and/or interview process. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3952565822,https://ca.linkedin.com/jobs/view/data-analyst-at-nmg-consulting-3952565822?position=14&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=um1sH4yXANKtsS%2F4KMrXuw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,NMG Consulting,"Toronto, Ontario, Canada","SUMMARY STATEMENT + +We offer an exciting role within our Insights team for an individual seeking to combine their strong data management, analytical and visualisation capabilities within a genuinely global environment and to advance their career with technical development and leadership opportunities. + + + + +This role will be responsible for managing the delivery of outputs for multiple Global Insights programmes; with the aim of ultimately being able to manage and run a complete programme. The position will work closely with a team of programmers to support consultants in the analysis and delivery of insights to our clients. It is expected that the incumbent will contribute project experience, research and analysis skills to the team. + + + + +KEY RESPONSIBILITIES + +Own and manage the analysis and reporting of assigned insights programmes + +Analyse survey data using descriptive and inferential statistics (SAS) +Summarise analyses through professional looking charts shown in static reports (PowerPoint) and interactive dashboards (PowerBI) +Deliver insights to clients (internal and external) showing trends and action areas +Manage survey data from different sources – face-to-face interviews, online and phone studies. This includes data import, storage, review and cleansing + + + + +Interact proactively and positively with programme managers and colleagues from other areas of NMG to gain better understanding of the various programmes and deliver accurate outputs + +Create and maintain continuous improvement actions +Review and enhance codes and data structure for more efficient work flow + + + + +Applying a creative and curious mindset, applying new and evolving approaches to improve the effectiveness and efficiencies of our insights studies + + + + +Living the NMG Values of Collaboration, Make it Count, Curiosity and ‘Go for it!’ + + + + +YOUR EXPERIENCE + +The successful candidate for this role will be able to demonstrate: + +Qualifications & Experience + +The ideal candidate should: + +have hands-on experience in using MS Power BI, and related MS technologies +have at least 1 year of practical knowledge and expertise of SAS (Base or EG) and in using SQL and macros. Practical SAS programming expertise is a MUST. +have experience in the gathering and documenting of business logics/methodologies +have strong visualisation skills (dashboard and/or graph designing) +have a strong academic performance + + + + +The following are also valued: + +Knowledge in other programming languages like Python and R +UI/UX experience +Experience in analysing and reporting survey data + + + + +Competencies + +Outstanding communication skills at all levels - able to build excellent working relationships with clients, team members and other stakeholders +Ability to solve problems effectively, think creatively and deliver quality outputs in a timely manner +Ability to make decisions independently in a fast-paced environment +Excellent attention to detail +Excellent organizational, prioritization and time management skills +Fast and keen learner – able to work individually and in a team + + + + +ABOUT NMG + +The NMG Group is a global advisory and intermediary firm focused exclusively on the financial services sector. Established in 1992, NMG has enjoyed rapid expansion internationally and now has over 800 employees in 18 cities worldwide. Our guiding principle is to always ‘Find a Better Way’. + + + + +NMG Consulting is a leading multinational insurance, reinsurance and investments consultancy, integrating consulting, insights and analytics. Our consultants provide strategy consulting, insights, analytics and actuarial services to financial institutions including banks, insurers, reinsurers and fund managers. + + + + +We are constantly evolving and the range of work that we do challenges and expands our peoples’ knowledge at lightning speed. Our flat, team-based structures encourage participation from all experience levels – everyone is encouraged to contribute, regardless of their role. We advocate hearing different points of view, collaboration and constructive debate. + +Show more ","
    + + + + + +
    +
    +

    SUMMARY STATEMENT

    We offer an exciting role within our Insights team for an individual seeking to combine their strong data management, analytical and visualisation capabilities within a genuinely global environment and to advance their career with technical development and leadership opportunities.


    This role will be responsible for managing the delivery of outputs for multiple Global Insights programmes; with the aim of ultimately being able to manage and run a complete programme. The position will work closely with a team of programmers to support consultants in the analysis and delivery of insights to our clients. It is expected that the incumbent will contribute project experience, research and analysis skills to the team.


    KEY RESPONSIBILITIES

    Own and manage the analysis and reporting of assigned insights programmes

    • Analyse survey data using descriptive and inferential statistics (SAS)
    • Summarise analyses through professional looking charts shown in static reports (PowerPoint) and interactive dashboards (PowerBI)
    • Deliver insights to clients (internal and external) showing trends and action areas
    • Manage survey data from different sources – face-to-face interviews, online and phone studies. This includes data import, storage, review and cleansing


    Interact proactively and positively with programme managers and colleagues from other areas of NMG to gain better understanding of the various programmes and deliver accurate outputs

    • Create and maintain continuous improvement actions
    • Review and enhance codes and data structure for more efficient work flow


    Applying a creative and curious mindset, applying new and evolving approaches to improve the effectiveness and efficiencies of our insights studies


    Living the NMG Values of Collaboration, Make it Count, Curiosity and ‘Go for it!’


    YOUR EXPERIENCE

    The successful candidate for this role will be able to demonstrate:

    Qualifications & Experience

    The ideal candidate should:

    • have hands-on experience in using MS Power BI, and related MS technologies
    • have at least 1 year of practical knowledge and expertise of SAS (Base or EG) and in using SQL and macros. Practical SAS programming expertise is a MUST.
    • have experience in the gathering and documenting of business logics/methodologies
    • have strong visualisation skills (dashboard and/or graph designing)
    • have a strong academic performance


    The following are also valued:

    • Knowledge in other programming languages like Python and R
    • UI/UX experience
    • Experience in analysing and reporting survey data


    Competencies

    • Outstanding communication skills at all levels - able to build excellent working relationships with clients, team members and other stakeholders
    • Ability to solve problems effectively, think creatively and deliver quality outputs in a timely manner
    • Ability to make decisions independently in a fast-paced environment
    • Excellent attention to detail
    • Excellent organizational, prioritization and time management skills
    • Fast and keen learner – able to work individually and in a team


    ABOUT NMG

    The NMG Group is a global advisory and intermediary firm focused exclusively on the financial services sector. Established in 1992, NMG has enjoyed rapid expansion internationally and now has over 800 employees in 18 cities worldwide. Our guiding principle is to always ‘Find a Better Way’.


    NMG Consulting is a leading multinational insurance, reinsurance and investments consultancy, integrating consulting, insights and analytics. Our consultants provide strategy consulting, insights, analytics and actuarial services to financial institutions including banks, insurers, reinsurers and fund managers.


    We are constantly evolving and the range of work that we do challenges and expands our peoples’ knowledge at lightning speed. Our flat, team-based structures encourage participation from all experience levels – everyone is encouraged to contribute, regardless of their role. We advocate hearing different points of view, collaboration and constructive debate.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +3999317390,https://ca.linkedin.com/jobs/view/data-analyst-at-apex-systems-3999317390?position=15&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=xijcJACoL2t%2FdjYjm07pBQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Apex Systems,"Toronto, Ontario, Canada","Data Analyst + + + + +Apex Systems is a global IT services provider, and our staffing practice has an opening for a Data Analyst who has experience working with ServiceNow to place at our client, a Big 5 bank. + + + + +Client: Big 5 Bank + +Location: Downtown Toronto. 2 days in office + +Duration of Contract/Perm: 6-month rolling contract with potential to extend for up to 2 years. + +Hours/week: 37.5 hours/week + +Start date: September + +Job Description: + + + + +We are seeking a Data Analyst to support the development of a new reporting solution within our ServiceNow tool. This role will focus on data analysis, reporting tool selection, and implementation. The ideal candidate will have strong data analysis skills and experience working with large datasets. + + + + + + + +Responsibilities + + + + +Analyze existing data sources within ServiceNow to identify data quality issues and inconsistencies. +Extract, cleanse, and transform data for reporting purposes. +Evaluate reporting tool options (Tableau, Power BI, or others) and recommend the best fit for the organization. +Develop and implement data models and reports to support business needs. +Ensure data accuracy and integrity within the reporting solution. +Collaborate with the Business Analyst to understand reporting requirements and translate them into data-driven insights. + + + + +Qualifications: + + + + +Strong data analysis skills, including data cleaning, transformation, and visualization. +Experience with data analysis tools and techniques. +Proficiency in SQL or other data query languages. +Understanding of data warehousing and reporting concepts. +Ability to work independently and as part of a team. + + + + +Preferred Skills + + + + +Experience working in banking + +Show more ","
    + + + + + +
    +
    +

    Data Analyst


    Apex Systems is a global IT services provider, and our staffing practice has an opening for a Data Analyst who has experience working with ServiceNow to place at our client, a Big 5 bank.


    Client: Big 5 Bank

    Location: Downtown Toronto. 2 days in office

    Duration of Contract/Perm: 6-month rolling contract with potential to extend for up to 2 years.

    Hours/week: 37.5 hours/week

    Start date: September

    Job Description:


    We are seeking a Data Analyst to support the development of a new reporting solution within our ServiceNow tool. This role will focus on data analysis, reporting tool selection, and implementation. The ideal candidate will have strong data analysis skills and experience working with large datasets.



    Responsibilities


    • Analyze existing data sources within ServiceNow to identify data quality issues and inconsistencies.
    • Extract, cleanse, and transform data for reporting purposes.
    • Evaluate reporting tool options (Tableau, Power BI, or others) and recommend the best fit for the organization.
    • Develop and implement data models and reports to support business needs.
    • Ensure data accuracy and integrity within the reporting solution.
    • Collaborate with the Business Analyst to understand reporting requirements and translate them into data-driven insights.


    Qualifications:


    • Strong data analysis skills, including data cleaning, transformation, and visualization.
    • Experience with data analysis tools and techniques.
    • Proficiency in SQL or other data query languages.
    • Understanding of data warehousing and reporting concepts.
    • Ability to work independently and as part of a team.


    Preferred Skills


    • Experience working in banking

    +
    + + + + + + + + + + + + + + + + + + +
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    ",2024-08-15,[] +4008828464,https://ca.linkedin.com/jobs/view/associate-data-analyst-new-grad-2025-at-capital-one-4008828464?position=16&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=yw4Pw0z4XYYH5VimdJOZhA%3D%3D&trk=public_jobs_jserp-result_search-card,"Associate, Data Analyst, New Grad 2025",Capital One,"Toronto, Ontario, Canada","161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Data Analyst, New Grad 2025 + +Associate, Data Analyst + +Our Capital One Data Analysis Team. + +Yes, we’re a credit card company. But we’re more than that too. We’re driven by what our customers want, and how to make their lives simpler. + +We’re always looking for creative ways to offer digital solutions that make sense for our customers. With your help, we’ll build the next generation of banking in Canada based on customer-focused values, compelling products and great engineering. + +Working with us + +How do we do things at Capital One Canada? We listen — to our people, and to our customers. We change with the times and have adopted a flexible hybrid model (remote and/or in-office). A flexible hybrid working model is one that creates the opportunity to match the work that we do to the environment that best supports that work. Associates working in the hybrid model are expected to come into the office 3 days a week across Tuesdays and Thursdays, reserving Mondays and Fridays as company-wide virtual days. As was true before the pandemic, expectations of being in the office will be balanced with personal life flexibility. We recognize that everyone has a unique working pattern so we’re open to discussing flexible working arrangements that will best accommodate you. + +At Capital One we’re committed to diversity, inclusion and belonging . We strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and inclusive behaviours are embedded in everything we do to positively impact associates. Strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and to help challenge the status quo and create the best outcomes for everyone. + +We’re focused on helping associates live well—physically, financially and emotionally. When you join us, we support you and those who are most important to you, offering full coverage for spouses, domestic partners, and dependents. We’ve designed our benefits program to be flexible, comprehensive and consistent across our organization. From health and fitness center discounts, to training and professional development programs—and much more—you’ll discover that Capital One is committed to helping you live your best life. + +Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations. + +A day in the life of a Capital One Data Analyst. + +At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time, and agony in their financial lives. + +Responsibilities: + + +Writing SQL to clean, transform, investigate data. +Working closely with business partners to harness the power of data in compliance testing. +Designing rich data visualizations to communicate complex ideas. +Ensure data and intent integrity by automated data quality verification pipelines. +Supporting and consulting with the business to propagate data management best practices. +Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow. +Investigating the use of technology to automate compliance testing. + + +The ideal candidate will be: + + +Curious: You ask why, you explore, and you’re not afraid to blurt out your disruptive idea. You know SQL and are constantly exploring new open source tools, and hitting up stack overflow on a regular basis. +A Wrangler: You know how to programmatically extract data from a database or an API, bring it through a transformation or two, and convert into a human-readable form (Matplotlib, d3 visualization, Tableau, etc.). +Creative: Big, undefined problems and petabytes of data don’t frighten you. You’re used to working with abstract data, and you love discovering new narratives in un-mined territories. +Proactive: You will want to share your knowledge with your peers and contribute back to inner/open source projects which you might consume. + + +Basic Qualifications: + + +Will obtain or have obtained a Bachelor’s degree or higher and graduating in 2024-2025 + + +Preferred Qualifications : + + +Pursuing a degree in Mathematics, Statistics, Computer Science, Engineering, or another quantitative discipline +Experience analyzing and manipulating large data sets using tools such as SQL or Python through co-op or school programs +Experience building and maintaining data pipelines +Experience in a Linux/Unix environment, with Git, AWS, or APIs through co-op or school programs is considered an asset +Excellent verbal and written communication skills + + +About Capital One Canada + +We've been helping millions of Canadians for over 20 years by providing them with access to credit when others wouldn’t. We're on a journey to put our customers first, and keep them there, by building modern technology solutions to simplify and humanize the world of credit cards. We have the positive energy of a startup, with the advantages of a big company. + +MUST INCLUDE YOUR COVER LETTER, RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY. + +We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process. + +Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations. + +If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. + +For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com + +Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. + +Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). +Show more ","
    + + + + + +
    +
    + 161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Data Analyst, New Grad 2025

    Associate, Data Analyst

    Our Capital One Data Analysis Team.

    Yes, we’re a credit card company. But we’re more than that too. We’re driven by what our customers want, and how to make their lives simpler.

    We’re always looking for creative ways to offer digital solutions that make sense for our customers. With your help, we’ll build the next generation of banking in Canada based on customer-focused values, compelling products and great engineering.

    Working with us

    How do we do things at Capital One Canada? We listen — to our people, and to our customers. We change with the times and have adopted a flexible hybrid model (remote and/or in-office). A flexible hybrid working model is one that creates the opportunity to match the work that we do to the environment that best supports that work. Associates working in the hybrid model are expected to come into the office 3 days a week across Tuesdays and Thursdays, reserving Mondays and Fridays as company-wide virtual days. As was true before the pandemic, expectations of being in the office will be balanced with personal life flexibility. We recognize that everyone has a unique working pattern so we’re open to discussing flexible working arrangements that will best accommodate you.

    At Capital One we’re committed to diversity, inclusion and belonging . We strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and inclusive behaviours are embedded in everything we do to positively impact associates. Strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and to help challenge the status quo and create the best outcomes for everyone.

    We’re focused on helping associates live well—physically, financially and emotionally. When you join us, we support you and those who are most important to you, offering full coverage for spouses, domestic partners, and dependents. We’ve designed our benefits program to be flexible, comprehensive and consistent across our organization. From health and fitness center discounts, to training and professional development programs—and much more—you’ll discover that Capital One is committed to helping you live your best life.

    Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

    A day in the life of a Capital One Data Analyst.

    At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time, and agony in their financial lives.

    Responsibilities:

    • Writing SQL to clean, transform, investigate data.
    • Working closely with business partners to harness the power of data in compliance testing.
    • Designing rich data visualizations to communicate complex ideas.
    • Ensure data and intent integrity by automated data quality verification pipelines.
    • Supporting and consulting with the business to propagate data management best practices.
    • Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow.
    • Investigating the use of technology to automate compliance testing.

    The ideal candidate will be:

    • Curious: You ask why, you explore, and you’re not afraid to blurt out your disruptive idea. You know SQL and are constantly exploring new open source tools, and hitting up stack overflow on a regular basis.
    • A Wrangler: You know how to programmatically extract data from a database or an API, bring it through a transformation or two, and convert into a human-readable form (Matplotlib, d3 visualization, Tableau, etc.).
    • Creative: Big, undefined problems and petabytes of data don’t frighten you. You’re used to working with abstract data, and you love discovering new narratives in un-mined territories.
    • Proactive: You will want to share your knowledge with your peers and contribute back to inner/open source projects which you might consume.

    Basic Qualifications:

    • Will obtain or have obtained a Bachelor’s degree or higher and graduating in 2024-2025

    Preferred Qualifications :

    • Pursuing a degree in Mathematics, Statistics, Computer Science, Engineering, or another quantitative discipline
    • Experience analyzing and manipulating large data sets using tools such as SQL or Python through co-op or school programs
    • Experience building and maintaining data pipelines
    • Experience in a Linux/Unix environment, with Git, AWS, or APIs through co-op or school programs is considered an asset
    • Excellent verbal and written communication skills

    About Capital One Canada

    We've been helping millions of Canadians for over 20 years by providing them with access to credit when others wouldn’t. We're on a journey to put our customers first, and keep them there, by building modern technology solutions to simplify and humanize the world of credit cards. We have the positive energy of a startup, with the advantages of a big company.

    MUST INCLUDE YOUR COVER LETTER, RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY.

    We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process.

    Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

    If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

    For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

    Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

    Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4002109464,https://ca.linkedin.com/jobs/view/data-analyst-at-robert-half-4002109464?position=17&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=4wyZXlVlBMxnhm38OmF62g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Robert Half,"Vancouver, British Columbia, Canada","This is a hybrid position in Vancouver. Candidates must be in British Columbia to be considered for this role. + + + + + + + +This is a new role with a large healthcare organization in Vancouver. You will be joining a stable and tenured team and will support financial planning, applications and analyses. You will be working with internal financial data, and previous experience with this is required. About 70% of your role will be analytical, and 30% will involve working with SQL and writing SQL queries. + + + + + + + +What you will do and how you will make an impact … + + + + + + + +[-] You will use SQL for data cleansing and exploration, and prepare the data for analysis. + + + + + + + +[-] You will deep dive into this organization’s financial information and reports. + + + + + + + +[-] You will conduct statistical analysis. You will look at cost patterns and variances, and identify trends. + + + + + + + +[-] You will present your insights and recommendations to internal stakeholders, and ensure that business needs are met. + + + + + + + +[-] You will collaborate with internal and external stakeholders, and identify additional areas of opportunity. You will ensure that internal systems and operations are optimized. + + + + + + + +[-] You will write SQL queries and create custom reports, as needed. + + + + + + + +[-] You will support any system changes and develop documentation, and training materials. + + + + + + + +Why we are excited about you … + + + + + + + +[-] You have strong problem-solving skills, and can perform well under minimal guidance + + + + + + + +[-] You have previous experience with Microsoft SQL + + + + + + + +[-] You have worked with financial data previously, such as revenue and expenses information + + + + + + + +[-] You have strong presentation skills, and have experience sharing your findings with senior managers + + + + + + + +Qualifications + + + + + + + +[-] Minimum 3 years of experience in a data analytics / similar position + + + + + + + +[-] Proven experience working with SQL + + + + + + + +[-] Familiarity with Power BI or Tableau + + + + + + + +Nice to have: + + + + + + + +[-] Educational background, or previous experience with economics and statistics + + + + + + + +Does this sound like it was written for you? Excellent! Please apply and let’s explore this together. + + + + + + + +The interview process … + + + + + + + +A bit about myself - my name is Tanvi Krishna, and I am a recruitment consultant based in Vancouver, BC. I am constantly working on IT and creative roles, and I am always looking to meet new people. + + + + +If you're interested in pursuing this role, please apply to this posting. If you are selected for the next stage, I will contact you for an initial discussion. This will be a chance for us to discuss the job requirements in greater detail, as well as your career goals and preferences for your next position. We can also discuss other opportunities which may fit what you're looking for. + + + + +Please feel free to reach out and find me on LinkedIn by searching my name: Tanvi Krishna + + + + + + + +Compensation & benefits … + + + + + + + +This is a full-time and permanent position that includes a competitive base salary, extended health and dental benefits, pension plan, and paid vacation. + +Show more ","
    + + + + + +
    +
    +

    This is a hybrid position in Vancouver. Candidates must be in British Columbia to be considered for this role.



    This is a new role with a large healthcare organization in Vancouver. You will be joining a stable and tenured team and will support financial planning, applications and analyses. You will be working with internal financial data, and previous experience with this is required. About 70% of your role will be analytical, and 30% will involve working with SQL and writing SQL queries.



    What you will do and how you will make an impact …



    [-] You will use SQL for data cleansing and exploration, and prepare the data for analysis.



    [-] You will deep dive into this organization’s financial information and reports.



    [-] You will conduct statistical analysis. You will look at cost patterns and variances, and identify trends.



    [-] You will present your insights and recommendations to internal stakeholders, and ensure that business needs are met.



    [-] You will collaborate with internal and external stakeholders, and identify additional areas of opportunity. You will ensure that internal systems and operations are optimized.



    [-] You will write SQL queries and create custom reports, as needed.



    [-] You will support any system changes and develop documentation, and training materials.



    Why we are excited about you …



    [-] You have strong problem-solving skills, and can perform well under minimal guidance



    [-] You have previous experience with Microsoft SQL



    [-] You have worked with financial data previously, such as revenue and expenses information



    [-] You have strong presentation skills, and have experience sharing your findings with senior managers



    Qualifications



    [-] Minimum 3 years of experience in a data analytics / similar position



    [-] Proven experience working with SQL



    [-] Familiarity with Power BI or Tableau



    Nice to have:



    [-] Educational background, or previous experience with economics and statistics



    Does this sound like it was written for you? Excellent! Please apply and let’s explore this together.



    The interview process …



    A bit about myself - my name is Tanvi Krishna, and I am a recruitment consultant based in Vancouver, BC. I am constantly working on IT and creative roles, and I am always looking to meet new people.


    If you're interested in pursuing this role, please apply to this posting. If you are selected for the next stage, I will contact you for an initial discussion. This will be a chance for us to discuss the job requirements in greater detail, as well as your career goals and preferences for your next position. We can also discuss other opportunities which may fit what you're looking for.


    Please feel free to reach out and find me on LinkedIn by searching my name: Tanvi Krishna



    Compensation & benefits …



    This is a full-time and permanent position that includes a competitive base salary, extended health and dental benefits, pension plan, and paid vacation.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4004376153,https://ca.linkedin.com/jobs/view/emissions-data-analyst-at-tourmaline-oil-corp-4004376153?position=21&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=kaUvUF9dNYhwFPaYTW10oA%3D%3D&trk=public_jobs_jserp-result_search-card,Emissions Data Analyst,Tourmaline Oil Corp,"Calgary, Alberta, Canada","Tourmaline Oil Corp. is a Canadian senior crude oil and natural gas exploration and production company. We are focused on long-term growth through an aggressive exploration, development, production, and acquisition program in the Western Canadian Sedimentary Basin. + + + + +We are currently looking for an Emissions Data Analyst to join our team, in the Calgary office. + + + + +The key focus of the Data Analyst role is in advancing data analytics to help drive the integration of emissions compliance and beyond-compliance monitoring programs with production operations and engineering to facilitate emissions reduction opportunities. Reporting to the Team Lead-Emissions, the Emissions Data Analyst will be responsible for, but not limited to the following duties: + + + + +Key Responsibilities + + + + +•Maintain and expand existing datasets, applications and reports designed to capture and analyze field emissions monitoring data. + +•Analyze emissions monitoring data and develop KPI’s for emissions performance. + +•Assist emissions engineers in root cause analysis and prioritizing emission reduction opportunities. + +•Integrate emissions data with other corporate datasets required for annual emissions quantification and verification. This includes maintaining relationships with other groups and leads within Tourmaline that produce or are responsible for that data. + +•Create dashboards, charts and visualizations to clearly indicate emissions performance to internal stakeholders. + +•Interface with- and be focal point of contact with IT and Operational Technology groups. + +•Collaborate with 3rd party technology companies offering emissions management solutions and assisting them with data acquisition. + +•Ensure that corporate asset and field data capture systems are updating the emissions inventory accurately and take part in verification of that information. + +•Support Team Lead and Emissions Analyst in driving continuous improvement in emissions data collection, management, and reporting systems. + +•Support emissions audits, verifications and inspections by providing necessary data and documentation. + + + + +Qualifications & Skills + + + + +•Bachelor’s degree in environmental science, engineering, data sciences, or related field. + +•Proven experience in data modelling and analysis. + +•Proficiency in the Microsoft Power Platform, including PowerApps, PowerBi, Power-Automate and Dataverse. + +•Proficiency in data analysis tools such as Excel, SQL, and coding experience with one or both of Python or R. + +•Statistical modelling skills (beyond descriptive statistics) are an asset but not a requirement. + +•Working knowledge of Oil & Gas processes, Environmental Engineering, and emissions regulations are not necessary, but are an asset. + +•Must be willing to learn from- and work well with multi-disciplines and stakeholders, including Production Operations, Accounting & Finance, Measurement & Production Coordination, Production Accounting, ITS, third-party consultants and verifiers, and emerging clean technology sector. + +•Highly adaptable, willing to work independently and a self-starter with ability to self prioritize tasks and willing to take the initiative in completing all necessary tasks. + +•Ability to think strategically and logically. + +•Takes pride and ownership in their work. + +Show more ","
    + + + + + +
    +
    +

    Tourmaline Oil Corp. is a Canadian senior crude oil and natural gas exploration and production company. We are focused on long-term growth through an aggressive exploration, development, production, and acquisition program in the Western Canadian Sedimentary Basin.


    We are currently looking for an Emissions Data Analyst to join our team, in the Calgary office.


    The key focus of the Data Analyst role is in advancing data analytics to help drive the integration of emissions compliance and beyond-compliance monitoring programs with production operations and engineering to facilitate emissions reduction opportunities. Reporting to the Team Lead-Emissions, the Emissions Data Analyst will be responsible for, but not limited to the following duties:


    Key Responsibilities


    •Maintain and expand existing datasets, applications and reports designed to capture and analyze field emissions monitoring data.

    •Analyze emissions monitoring data and develop KPI’s for emissions performance.

    •Assist emissions engineers in root cause analysis and prioritizing emission reduction opportunities.

    •Integrate emissions data with other corporate datasets required for annual emissions quantification and verification. This includes maintaining relationships with other groups and leads within Tourmaline that produce or are responsible for that data.

    •Create dashboards, charts and visualizations to clearly indicate emissions performance to internal stakeholders.

    •Interface with- and be focal point of contact with IT and Operational Technology groups.

    •Collaborate with 3rd party technology companies offering emissions management solutions and assisting them with data acquisition.

    •Ensure that corporate asset and field data capture systems are updating the emissions inventory accurately and take part in verification of that information.

    •Support Team Lead and Emissions Analyst in driving continuous improvement in emissions data collection, management, and reporting systems.

    •Support emissions audits, verifications and inspections by providing necessary data and documentation.


    Qualifications & Skills


    •Bachelor’s degree in environmental science, engineering, data sciences, or related field.

    •Proven experience in data modelling and analysis.

    •Proficiency in the Microsoft Power Platform, including PowerApps, PowerBi, Power-Automate and Dataverse.

    •Proficiency in data analysis tools such as Excel, SQL, and coding experience with one or both of Python or R.

    •Statistical modelling skills (beyond descriptive statistics) are an asset but not a requirement.

    •Working knowledge of Oil & Gas processes, Environmental Engineering, and emissions regulations are not necessary, but are an asset.

    •Must be willing to learn from- and work well with multi-disciplines and stakeholders, including Production Operations, Accounting & Finance, Measurement & Production Coordination, Production Accounting, ITS, third-party consultants and verifiers, and emerging clean technology sector.

    •Highly adaptable, willing to work independently and a self-starter with ability to self prioritize tasks and willing to take the initiative in completing all necessary tasks.

    •Ability to think strategically and logically.

    •Takes pride and ownership in their work.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4008840725,https://ca.linkedin.com/jobs/view/data-analyst-reporting-at-hotspex-media-4008840725?position=22&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=MjKEpPWoQS7RKI7WB0%2Fn9g%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Analyst, Reporting",Hotspex Media,"Toronto, Ontario, Canada","Join Hotspex Media! + +🙌 #1 Ranked Media Buying and Planning Agency on Clutch.co + +🔥 Finalist 'Game Changing Ad Tech', 2023 Drum Awards + +🎉 Deloitte Fast 500 + +Job Summary + +Hotspex Media Agency seeks an experienced Data Analyst specializing in web analytics reporting to join our innovative team. This role requires a seasoned professional with over 2 years of experience in digital analytics and reporting, particularly with GA4 and Adobe Analytics. The successful candidate will play a crucial role in our data-driven decision-making processes, spearheading the creation and maintenance of insightful reports that support our clients' marketing strategies. + +Job Responsibilities + + +Spearhead the creation and maintenance of comprehensive analytics reports using GA4 and Adobe Analytics to support various digital marketing campaigns. +Collaborate with cross-functional teams to identify key metrics, performance indicators, and develop custom reporting solutions. +Conduct advanced data analysis to provide actionable insights and strategic recommendations for campaign optimization. +Design and implement automated reporting processes to streamline data collection and presentation across multiple analytics platforms. +Perform regular audits of reporting methodologies to ensure accuracy, consistency, and alignment with evolving analytics best practices. +Mentor junior team members on analytics tools, methodologies, and best practices. +Present data insights and recommendations to internal teams and clients, translating complex analytics into actionable business strategies. + + +Required Skills + + +Bachelor's degree in Marketing, Data Analytics, Statistics, Computer Science, or a related field. +Minimum of 2 years of experience in digital analytics and reporting, with proficiency in both GA4 and Adobe Analytics. +Advanced knowledge of digital marketing concepts, web analytics, and data visualization techniques. +Strong analytical and problem-solving skills with a proven track record of deriving actionable insights from complex datasets. +Expertise in data visualization tools such as Google Data Studio, Tableau, or PowerBI. +Proficiency in SQL and experience with BigQuery for advanced data analysis. +Excellent communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders. +Experience managing multiple projects and prioritizing effectively in a fast-paced environment. +Demonstrated ability to stay current with evolving analytics technologies and methodologies. + + +Our Values: + +We know our people are what allows us to achieve all that we do and that’s why it’s important that everyone we bring onto our team lives our values with us. + + +🦁 Courage +1️⃣ One Team +💪 Resilience +🚀 Empowerment + + +Hotspex Media Inc. is an equal opportunity employer and values diversity in its workforce. +Show more ","
    + + + + + +
    +
    + Join Hotspex Media!

    🙌 #1 Ranked Media Buying and Planning Agency on Clutch.co

    🔥 Finalist 'Game Changing Ad Tech', 2023 Drum Awards

    🎉 Deloitte Fast 500

    Job Summary

    Hotspex Media Agency seeks an experienced Data Analyst specializing in web analytics reporting to join our innovative team. This role requires a seasoned professional with over 2 years of experience in digital analytics and reporting, particularly with GA4 and Adobe Analytics. The successful candidate will play a crucial role in our data-driven decision-making processes, spearheading the creation and maintenance of insightful reports that support our clients' marketing strategies.

    Job Responsibilities

    • Spearhead the creation and maintenance of comprehensive analytics reports using GA4 and Adobe Analytics to support various digital marketing campaigns.
    • Collaborate with cross-functional teams to identify key metrics, performance indicators, and develop custom reporting solutions.
    • Conduct advanced data analysis to provide actionable insights and strategic recommendations for campaign optimization.
    • Design and implement automated reporting processes to streamline data collection and presentation across multiple analytics platforms.
    • Perform regular audits of reporting methodologies to ensure accuracy, consistency, and alignment with evolving analytics best practices.
    • Mentor junior team members on analytics tools, methodologies, and best practices.
    • Present data insights and recommendations to internal teams and clients, translating complex analytics into actionable business strategies.

    Required Skills

    • Bachelor's degree in Marketing, Data Analytics, Statistics, Computer Science, or a related field.
    • Minimum of 2 years of experience in digital analytics and reporting, with proficiency in both GA4 and Adobe Analytics.
    • Advanced knowledge of digital marketing concepts, web analytics, and data visualization techniques.
    • Strong analytical and problem-solving skills with a proven track record of deriving actionable insights from complex datasets.
    • Expertise in data visualization tools such as Google Data Studio, Tableau, or PowerBI.
    • Proficiency in SQL and experience with BigQuery for advanced data analysis.
    • Excellent communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
    • Experience managing multiple projects and prioritizing effectively in a fast-paced environment.
    • Demonstrated ability to stay current with evolving analytics technologies and methodologies.

    Our Values:

    We know our people are what allows us to achieve all that we do and that’s why it’s important that everyone we bring onto our team lives our values with us.

    • 🦁 Courage
    • 1️⃣ One Team
    • 💪 Resilience
    • 🚀 Empowerment

    Hotspex Media Inc. is an equal opportunity employer and values diversity in its workforce. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4007879619,https://ca.linkedin.com/jobs/view/data-analyst-powerbi-at-searchlabs-4007879619?position=24&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=3xI84I1DIf7vDcQjykaqbQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - PowerBI,SearchLabs,"Toronto, Ontario, Canada","Role: Data Analyst - PowerBI + +Type: Full-time + +Location: Toronto + +Environment: Hybrid - 1 day per week in office + +Overview: We are seeking a skilled Data Analyst to join our team, specializing in developing PowerBI dashboards integrated into SharePoint. The ideal candidate will possess a solid background in database queries/management, Python, and data visualization using PowerBI. This role will focus on creating insightful and interactive dashboards to facilitate data-driven decision-making across the organization. Additionally, the candidate will be responsible for integrating these dashboards seamlessly into SharePoint and providing training to staff members on how to effectively utilize them. + +Responsibilities: + + +Develop and maintain PowerBI dashboards to visualize data from various databases and sources. +Collaborate with stakeholders to understand business requirements and translate them into actionable insights through data visualization. +Utilize Python programming to clean, manipulate, and analyze large datasets for dashboard creation. +Integrate PowerBI dashboards into SharePoint, ensuring a seamless user experience and accessibility for all stakeholders. +Train and support staff members on how to use PowerBI dashboards effectively for data analysis and decision-making. +Continuously monitor and optimize dashboard performance, ensuring accuracy, reliability, and responsiveness. +Stay updated on industry trends and best practices in data visualization, PowerBI, SharePoint integration, and database management. + + +Requirements + +Qualifications: + + +Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Master's degree preferred. +Proven experience 4+ years developing PowerBI dashboards and reports. +Strong proficiency in database queries/management. +Proficiency in Python programming for data manipulation and analysis. +Experience integrating PowerBI dashboards into SharePoint +Experience with organizing Sharepoint records and optimizing search capabilities +Excellent communication and collaboration skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders. +Strong problem-solving abilities and attention to detail. +Ability to work independently and as part of a team in a fast-paced environment. + + +Preferred Skills: + + +Experience with other data visualization tools +Familiarity with data warehousing concepts and techniques. +Knowledge of SharePoint administration and customization. +Certification in PowerBI or related technologies. + + +Benefits + + +Competitive salary, benefits and pension package. +4 weeks vacation +Opportunity to work in a dynamic and collaborative environment. +Professional development and training opportunities. +Potential for career growth and advancement within the organization. +Show more ","
    + + + + + +
    +
    + Role: Data Analyst - PowerBI

    Type: Full-time

    Location: Toronto

    Environment: Hybrid - 1 day per week in office

    Overview: We are seeking a skilled Data Analyst to join our team, specializing in developing PowerBI dashboards integrated into SharePoint. The ideal candidate will possess a solid background in database queries/management, Python, and data visualization using PowerBI. This role will focus on creating insightful and interactive dashboards to facilitate data-driven decision-making across the organization. Additionally, the candidate will be responsible for integrating these dashboards seamlessly into SharePoint and providing training to staff members on how to effectively utilize them.

    Responsibilities:

    • Develop and maintain PowerBI dashboards to visualize data from various databases and sources.
    • Collaborate with stakeholders to understand business requirements and translate them into actionable insights through data visualization.
    • Utilize Python programming to clean, manipulate, and analyze large datasets for dashboard creation.
    • Integrate PowerBI dashboards into SharePoint, ensuring a seamless user experience and accessibility for all stakeholders.
    • Train and support staff members on how to use PowerBI dashboards effectively for data analysis and decision-making.
    • Continuously monitor and optimize dashboard performance, ensuring accuracy, reliability, and responsiveness.
    • Stay updated on industry trends and best practices in data visualization, PowerBI, SharePoint integration, and database management.

    Requirements

    Qualifications:

    • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Master's degree preferred.
    • Proven experience 4+ years developing PowerBI dashboards and reports.
    • Strong proficiency in database queries/management.
    • Proficiency in Python programming for data manipulation and analysis.
    • Experience integrating PowerBI dashboards into SharePoint
    • Experience with organizing Sharepoint records and optimizing search capabilities
    • Excellent communication and collaboration skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.
    • Strong problem-solving abilities and attention to detail.
    • Ability to work independently and as part of a team in a fast-paced environment.

    Preferred Skills:

    • Experience with other data visualization tools
    • Familiarity with data warehousing concepts and techniques.
    • Knowledge of SharePoint administration and customization.
    • Certification in PowerBI or related technologies.

    Benefits

    • Competitive salary, benefits and pension package.
    • 4 weeks vacation
    • Opportunity to work in a dynamic and collaborative environment.
    • Professional development and training opportunities.
    • Potential for career growth and advancement within the organization.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3995193737,https://ca.linkedin.com/jobs/view/staff-data-analyst-at-hellofresh-3995193737?position=25&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=o1BfsqqY6dgyjj0d9SpSaA%3D%3D&trk=public_jobs_jserp-result_search-card,Staff Data Analyst,HelloFresh,"Toronto, Ontario, Canada","As a Staff Data Analyst, you will help drive the acquisition strategy of one of the fastest-growing e-commerce businesses in the US. Data-driven decision making is at the core of our company culture and you will have a fundamental part in extracting insights and shaping our success. You will work with marketing and analytics to build capabilities for one of the fastest-growing US food brands and be the champion of a data-centric approach to our marketing and digital product operations. You will work collaboratively with data engineering, business intelligence and data science, to provide effective and high impact insights to drive business performance. + +You will … + + +Complete proactive analysis of performance & brand marketing data to identify gaps and opportunities for KPI improvement (acquisition, CACs, brand awareness, LTV, etc.). +Work closely with senior management to understand business problems, identify opportunities for analysis, present clear action plans, and influence stakeholders to help drive forward key initiatives. +Drive forward innovative analysis approaches in order to solve some of the most challenging marketing data problems in the business. +Stay up-to-date with industry and market developments that might impact business performance. +Play a key role in driving the insights generated by the analytics team to tangible action and projects adopted by the rest of the marketing team. +Be a leading voice for the analytics department, supporting the broader US marketing team in understanding new metrics and teaching foundational analysis skills. +Work with other analytics departments, driving cross-team collaboration, best practice sharing, and insight generation. +Analyze customer data to identify pain points and opportunities in the customer journey, helping to determine customer segmentation and personalization strategies. +Actively support the marketing annual strategic planning process, from analysis to storytelling. + + +You are... + + +Results-oriented - You love transforming data into meaningful outcomes +Gritty - When you encounter obstacles you find creative solutions +Intellectually curious – You love to understand why things are the way they are, how things work, and challenge the status quo +A team player – You favor team victories over individual success +A structured problem solver – You possess strong organizational skills and consistently demonstrate a methodical approach to all your work +Agile – You thrive in fast-paced and dynamic environments and are comfortable working autonomously +A critical thinker – You use logic to identify opportunities, evaluate alternatives, and synthesize and present critical information to solve complex problems + + +At a minimum, you have... + + +6+ years in a highly analytical role (bonus if you’ve worked in a Start-Up or in a high-growth environment) +Expert abilities in Excel, SQL and python, and the ability to use statistical modeling techniques for robust analysis +A strong business acumen and can translate insights into actionable recommendations that align with business objectives +Ability to support, mentor and work collaboratively with other junior team members to drive forward high quality and thoughtful analysis +Expertise in data visualization and data storytelling, including experience with dashboarding tools (Tableau preferred) +Experience working with a range of business stakeholders and communicating technical results in business language +A BS in computer science, mathematics, economics, statistics, engineering, or similar program + + +You’ll get… + + +Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box +Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships +Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. +Family Benefits - A parental leave top-up program for expectant parents +Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund +Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun! +Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion effort + + +This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors. + +JR101450 +Show more ","
    + + + + + +
    +
    + As a Staff Data Analyst, you will help drive the acquisition strategy of one of the fastest-growing e-commerce businesses in the US. Data-driven decision making is at the core of our company culture and you will have a fundamental part in extracting insights and shaping our success. You will work with marketing and analytics to build capabilities for one of the fastest-growing US food brands and be the champion of a data-centric approach to our marketing and digital product operations. You will work collaboratively with data engineering, business intelligence and data science, to provide effective and high impact insights to drive business performance.

    You will …

    • Complete proactive analysis of performance & brand marketing data to identify gaps and opportunities for KPI improvement (acquisition, CACs, brand awareness, LTV, etc.).
    • Work closely with senior management to understand business problems, identify opportunities for analysis, present clear action plans, and influence stakeholders to help drive forward key initiatives.
    • Drive forward innovative analysis approaches in order to solve some of the most challenging marketing data problems in the business.
    • Stay up-to-date with industry and market developments that might impact business performance.
    • Play a key role in driving the insights generated by the analytics team to tangible action and projects adopted by the rest of the marketing team.
    • Be a leading voice for the analytics department, supporting the broader US marketing team in understanding new metrics and teaching foundational analysis skills.
    • Work with other analytics departments, driving cross-team collaboration, best practice sharing, and insight generation.
    • Analyze customer data to identify pain points and opportunities in the customer journey, helping to determine customer segmentation and personalization strategies.
    • Actively support the marketing annual strategic planning process, from analysis to storytelling.

    You are...

    • Results-oriented - You love transforming data into meaningful outcomes
    • Gritty - When you encounter obstacles you find creative solutions
    • Intellectually curious – You love to understand why things are the way they are, how things work, and challenge the status quo
    • A team player – You favor team victories over individual success
    • A structured problem solver – You possess strong organizational skills and consistently demonstrate a methodical approach to all your work
    • Agile – You thrive in fast-paced and dynamic environments and are comfortable working autonomously
    • A critical thinker – You use logic to identify opportunities, evaluate alternatives, and synthesize and present critical information to solve complex problems

    At a minimum, you have...

    • 6+ years in a highly analytical role (bonus if you’ve worked in a Start-Up or in a high-growth environment)
    • Expert abilities in Excel, SQL and python, and the ability to use statistical modeling techniques for robust analysis
    • A strong business acumen and can translate insights into actionable recommendations that align with business objectives
    • Ability to support, mentor and work collaboratively with other junior team members to drive forward high quality and thoughtful analysis
    • Expertise in data visualization and data storytelling, including experience with dashboarding tools (Tableau preferred)
    • Experience working with a range of business stakeholders and communicating technical results in business language
    • A BS in computer science, mathematics, economics, statistics, engineering, or similar program

    You’ll get…

    • Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box
    • Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships
    • Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
    • Family Benefits - A parental leave top-up program for expectant parents
    • Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund
    • Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
    • Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion effort

    This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

    JR101450 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +4007876197,https://ca.linkedin.com/jobs/view/data-analyst-with-python-and-etl-at-scotiabank-4007876197?position=28&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=65m6FHPF4KKOqXb0rls9IQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst with Python and ETL,Scotiabank,"Toronto, Ontario, Canada","Requisition ID: 205683 + +Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. + +The Team + +This position belongs to a highly skilled development team that develops and supports various applications in growing Global Regulatory & Controls Technology team. The team is responsible for providing specialized analysis, design, development, and support of cost effective, mission critical, on-line, risk management and decision support systems for business users within Scotiabank IT group. + +The Role + + +The incumbent will be responsible for supporting and building end-to-end technical solutions to support regulatory reporting of Scotia Capital Markets transactions. From root cause and business requirements analysis, aided by strong data and technical system analysis, to solutioning, development, testing, and release to production, the incumbent will ensure timely resolution of high priority Production Support tickets. +The incumbent will work closely with the broader project team, developers, scrum masters, regulatory stakeholders, trading systems, and downstream consumers to ensure high priority support tickets are resolved within SLAs with high quality. The incumbent will also be expected to develop application and business process subject matter expertise over the duration of the assignment. + + +Is this role right for you? + + +Work within a cross functional Agile team to analyse and troubleshoot technical issues and production support tickets and deliver solutions for the same. +Change request delivery – requirements gathering, design, implementation, and testing as part of new regulatory initiatives. +Support of advanced issue triage and ad-hoc data analysis and reporting +Work closely with business users and IT teams from multiple key trading systems in Canada, US, and Asia, in the design and prototyping of business solutions +Ad hoc inquiries from business stakeholders on G20 Regulatory Reporting logic (CFTC, SEC, CSA, MAS, HKMA, EMIR, UK, etc.), behaviour, and data requests +Keep current on rapidly changing technological trends, self-leaner on new technologies and maintain an understanding of the business and technology strategies. +Ability to look at a problem from both a business and technical angle. +Other projects and initiatives as required. + + +Do you have the skills that will enable you to succeed in this role? + + +Strong hands-on experience with data analysis and ETL (SQL, Python, Kafka, Jupyter, Java, XML, and JSON) +High levels of analytical, conceptual, problem solving and organizational skills +Excellent verbal and written communication skills +Attitude and willingness to learn fast, go above and beyond consistently and work independently without supervision. +Experience with Apache Kafka, Postman, ElasticSearch, Kubernetes, Airflow, and/or Linux +Ability to perform Java coding is a strong asset. +Knowledge of Capital Market products, front office trading, and back-office booking process globally. +Provide timely IT support to the enquiries from regulators in Canada and US and internal business stakeholders to meet critical timelines. +Excellent team building skills, working with diverse groups to resolve issues and identify efficiencies. +Ability to work in a project environment as required, with key deliverables and ensuring requirements of department are represented. +Strong ability to establish relationships with internal customers, as well as senior management. +A recognized degree in engineering, computer science, math, related discipline or experience + + +What's in it for you? + + +We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success! +We provide you with the tools and technology needed to create beautiful customer experiences +You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world +We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), generous vacation, personal & sick days, personal development funding, maternity leave top-up, parental leave and much more. + + +#Python + +#ETL + +Location(s): Canada : Ontario : Toronto + +Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. + +At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted. + + +Show more ","
    + + + + + +
    +
    + Requisition ID: 205683

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    The Team

    This position belongs to a highly skilled development team that develops and supports various applications in growing Global Regulatory & Controls Technology team. The team is responsible for providing specialized analysis, design, development, and support of cost effective, mission critical, on-line, risk management and decision support systems for business users within Scotiabank IT group.

    The Role

    • The incumbent will be responsible for supporting and building end-to-end technical solutions to support regulatory reporting of Scotia Capital Markets transactions. From root cause and business requirements analysis, aided by strong data and technical system analysis, to solutioning, development, testing, and release to production, the incumbent will ensure timely resolution of high priority Production Support tickets.
    • The incumbent will work closely with the broader project team, developers, scrum masters, regulatory stakeholders, trading systems, and downstream consumers to ensure high priority support tickets are resolved within SLAs with high quality. The incumbent will also be expected to develop application and business process subject matter expertise over the duration of the assignment.

    Is this role right for you?

    • Work within a cross functional Agile team to analyse and troubleshoot technical issues and production support tickets and deliver solutions for the same.
    • Change request delivery – requirements gathering, design, implementation, and testing as part of new regulatory initiatives.
    • Support of advanced issue triage and ad-hoc data analysis and reporting
    • Work closely with business users and IT teams from multiple key trading systems in Canada, US, and Asia, in the design and prototyping of business solutions
    • Ad hoc inquiries from business stakeholders on G20 Regulatory Reporting logic (CFTC, SEC, CSA, MAS, HKMA, EMIR, UK, etc.), behaviour, and data requests
    • Keep current on rapidly changing technological trends, self-leaner on new technologies and maintain an understanding of the business and technology strategies.
    • Ability to look at a problem from both a business and technical angle.
    • Other projects and initiatives as required.

    Do you have the skills that will enable you to succeed in this role?

    • Strong hands-on experience with data analysis and ETL (SQL, Python, Kafka, Jupyter, Java, XML, and JSON)
    • High levels of analytical, conceptual, problem solving and organizational skills
    • Excellent verbal and written communication skills
    • Attitude and willingness to learn fast, go above and beyond consistently and work independently without supervision.
    • Experience with Apache Kafka, Postman, ElasticSearch, Kubernetes, Airflow, and/or Linux
    • Ability to perform Java coding is a strong asset.
    • Knowledge of Capital Market products, front office trading, and back-office booking process globally.
    • Provide timely IT support to the enquiries from regulators in Canada and US and internal business stakeholders to meet critical timelines.
    • Excellent team building skills, working with diverse groups to resolve issues and identify efficiencies.
    • Ability to work in a project environment as required, with key deliverables and ensuring requirements of department are represented.
    • Strong ability to establish relationships with internal customers, as well as senior management.
    • A recognized degree in engineering, computer science, math, related discipline or experience

    What's in it for you?

    • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
    • We provide you with the tools and technology needed to create beautiful customer experiences
    • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
    • We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), generous vacation, personal & sick days, personal development funding, maternity leave top-up, parental leave and much more.

    #Python

    #ETL

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3995439564,https://ca.linkedin.com/jobs/view/business-data-analyst-at-raise-3995439564?position=29&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=Ige42jFChpkrSdYZmu5v1w%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst,Raise,"Toronto, Ontario, Canada","Senior Business Analyst - Data Analytics + +Location: Scarborough, ON - Hybrid (1-2 days/per week in the office) + +Contract Length: 2 Months with possibility for extension. + + + + +We at Raise are hiring a Senior Business Analyst - Data Analytics for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. + + + + +We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work. + + + + +Responsibilities: + +Works with key stakeholders within all business functions to align technology solutions with business strategies. +Responsible for relationship management working to establish productive relationships between various leaders, departments and partners across the organization. +Able to be flexible/adaptable in exercising judgment in a changing environment and to manage competing priorities. +Gathers requirements from business units. +Visualize information depending on the stage of the project. +Perform different activities during the project lifecycle such as testing and a variety of task business analyses related. +Solutions-oriented and ability to develop and create innovative solutions to critical business or organizational data issues. +Strong analytical skills with amplitude for generating insights through an evidence-based thought process. + +Candidate Requirements/Must Have Skills: + +8+ years of Experience as a Business Analyst driving end to end project delivery with a focus on data analytics, business and IT stakeholder management, and process improvement. +3+ years of Experience in developing and producing KPI, KRI. +3+ years of Experience with Power BI, SQL, and advance Excel skills. +Knowledge of SWIFT payment is mandatory. + +Nice-To-Have Skills: + +Previous experience working in Financial Industry. +Previous experience in project management, tracking project progression. +Previous Experience working with payments. +Previous experience with Confluence and JIRA. + +Education: + +Undergraduate degree in Business, Economics, Finance, Engineering, Mathematics, or another related field. + +Show more ","
    + + + + + +
    +
    +

    Senior Business Analyst - Data Analytics

    Location: Scarborough, ON - Hybrid (1-2 days/per week in the office)

    Contract Length: 2 Months with possibility for extension.


    We at Raise are hiring a Senior Business Analyst - Data Analytics for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand.


    We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work.


    Responsibilities:

    • Works with key stakeholders within all business functions to align technology solutions with business strategies.
    • Responsible for relationship management working to establish productive relationships between various leaders, departments and partners across the organization.
    • Able to be flexible/adaptable in exercising judgment in a changing environment and to manage competing priorities.
    • Gathers requirements from business units.
    • Visualize information depending on the stage of the project.
    • Perform different activities during the project lifecycle such as testing and a variety of task business analyses related.
    • Solutions-oriented and ability to develop and create innovative solutions to critical business or organizational data issues.
    • Strong analytical skills with amplitude for generating insights through an evidence-based thought process.

    Candidate Requirements/Must Have Skills:

    • 8+ years of Experience as a Business Analyst driving end to end project delivery with a focus on data analytics, business and IT stakeholder management, and process improvement.
    • 3+ years of Experience in developing and producing KPI, KRI.
    • 3+ years of Experience with Power BI, SQL, and advance Excel skills.
    • Knowledge of SWIFT payment is mandatory.

    Nice-To-Have Skills:

    • Previous experience working in Financial Industry.
    • Previous experience in project management, tracking project progression.
    • Previous Experience working with payments.
    • Previous experience with Confluence and JIRA.

    Education:

    • Undergraduate degree in Business, Economics, Finance, Engineering, Mathematics, or another related field.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4007848813,https://ca.linkedin.com/jobs/view/data-analy-at-chive-inc-4007848813?position=30&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=a9UsjoLFCUgM2LHJEMmRmQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data & Analy,chive inc,"Toronto, Ontario, Canada","NERD NEEDED. + +DATA + ANALYTICS MANAGER.  $75-$85K year plus bonus + + + + + + + +Chive is a creative company. We design our own lines of plant pots and vases, candles and cards. Since we started in 2004, we’ve expanded from Toronto to California and England by being driven by design and refusing to deal with the vanilla -loving multinationals. + +Now we need a data and analytics manager to help us run our entire digital output, across social, email marketing and Shopify. You’ll also be the point person for our overseas team on all our digital output and for pushing out new product information to all 5 Shopify stores. (Please note this is not a content creator/ creative position.) + + + + +Here are the skills we’re looking for. + + + + +10+ years of relevant experience required. +Expert understanding of how to create, manage, and analyze Meta, Etsy and Pinterest advertising campaigns as well as connecting  accounts with existing Shopify stores. +Full understanding of Google Analytics, Search Console, Ads, Local Business and Klaviyo email marketing with a focus on analytics and performance +Shopify expert. Must understand Shopify analytics and how to improve site performance across all analytics +Knowledge of how Amazon S3 Photo bucket is a plus. Must be able to assist our outside partner with Photo bucket management. +Understanding of Amazon Seller Account functionality and analytics is a big plus. +Own the accuracy of data across all 5 websites. Direct team on how to correct errors when they are found. +The ability to fully understand how our systems operate and the order of operations for adding new data. + + + + +Show more ","
    + + + + + +
    +
    +

    NERD NEEDED.

    DATA + ANALYTICS MANAGER.  $75-$85K year plus bonus



    Chive is a creative company. We design our own lines of plant pots and vases, candles and cards. Since we started in 2004, we’ve expanded from Toronto to California and England by being driven by design and refusing to deal with the vanilla -loving multinationals.

    Now we need a data and analytics manager to help us run our entire digital output, across social, email marketing and Shopify. You’ll also be the point person for our overseas team on all our digital output and for pushing out new product information to all 5 Shopify stores. (Please note this is not a content creator/ creative position.)


    Here are the skills we’re looking for.


    • 10+ years of relevant experience required.
    • Expert understanding of how to create, manage, and analyze Meta, Etsy and Pinterest advertising campaigns as well as connecting  accounts with existing Shopify stores.
    • Full understanding of Google Analytics, Search Console, Ads, Local Business and Klaviyo email marketing with a focus on analytics and performance
    • Shopify expert. Must understand Shopify analytics and how to improve site performance across all analytics
    • Knowledge of how Amazon S3 Photo bucket is a plus. Must be able to assist our outside partner with Photo bucket management.
    • Understanding of Amazon Seller Account functionality and analytics is a big plus.
    • Own the accuracy of data across all 5 websites. Direct team on how to correct errors when they are found.
    • The ability to fully understand how our systems operate and the order of operations for adding new data.


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4004585939,https://ca.linkedin.com/jobs/view/senior-data-analyst-at-caat-pension-plan-4004585939?position=32&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=saavZOBYQKQwmloH4pSy9w%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,CAAT Pension Plan,"Toronto, Ontario, Canada","Our mission is to provide a secure, valuable, and sustainable workplace retirement solutions for Canadians. At CAAT, we live our values of integrity, impact, and teamwork every day. + + + + +The Senior Data Analyst is integral to the success of the Business Development Research & Data team, and to CAAT’s guiding mission and growth strategy. + + + + +This role’s primary focus will be data management and reporting to assist the Pension Solutions team in proactively managing relationships with external organizations and reporting on activities. The role provides additional support in performing research and documenting processes as required. + + + + +The role works closely with the Manager, Business Development Research & Data and guides the team’s other analysts and co-op students in a fast-paced environment with concurrent deliverables. + + + + +We are looking for someone with: + +A degree or diploma in data management, data analytics, statistics, or a related field. +At least five (5) years of experience in data analysis, preferably within the pension or finance sectors. +Experience with Salesforce and either holding or working towards Salesforce certification. +Proven ability to manage multiple tasks efficiently, set priorities, and oversee team projects independently. +Familiarity with CRM tools and/or Power BI is a plus. +Exceptional attention to detail and accuracy. +Proficiency in Microsoft Office Suite, with advanced Excel skills. +A knack for innovative thinking and problem-solving. +Knowledge of pension plans, group benefits, or labor relations is advantageous. +Strong written and verbal communication skills. + + + + +The successful candidate will demonstrate: + +Excellent organizational skills with a proactive and solution-oriented approach to task and project management. +Effective communication and training skills, with the ability to convey complex information clearly. +A strategic mindset and resourcefulness in addressing challenges and improving processes. +Dedication to CAAT’s values and organizational culture, including integrity, teamwork, respect, and optimism. + + + + +Once here you will: + +Guide the team in maintaining, processing, and analyzing stakeholder data, ensuring accuracy and attention to detail. +Train and support new team members and internal stakeholders on tools and processes, providing clear documentation and updates. +Analyze and report on key performance indicators to support strategic initiatives and inform decision-making. +Investigate and implement improvements in Salesforce, working with relevant teams to develop and test new features. +Develop and apply best practices to enhance department efficiency and effectiveness, contributing to process improvements. +Coordinate with internal teams on various projects, initiatives, and training efforts, ensuring effective communication and documentation. +Review and provide feedback on the work of data analysts and co-op students, ensuring high-quality outputs. +Conduct research to address data gaps and support organizational needs, contributing to a comprehensive understanding of data requirements. + + + + +Step into CAAT - where your work is both rewarding and meaningful, growth is a constant, fun is the way we roll, and your impact is real! If you meet most of the criteria above, we would love to connect with you. + + + + +Our commitment to you as a CAATster: + + + + +We’re about growing together and creating impact in a collaborative and caring environment! + + + + +Comprehensive & Holistic Care: Your dedication deserves appreciation! At CAAT, we celebrate the complete you, prioritizing your well-being above all. Our all-encompassing employee programs are designed to cater to every aspect of your life and well-being, ensuring you feel cherished and valued. We provide a competitive Total Rewards program based around your physical, mental, and financial wellness. This includes, but is not limited to, your compensation, paid time off, health and dental benefits, wellness programs, wellness incentives, and (of course) a defined benefit pension plan. + + + + +Growth Opportunities: Embrace a vibrant, ever-evolving environment at CAAT, where growth is not just a goal, but our way of life! We're expanding and transforming constantly, which means endless opportunities for you to adapt, innovate, and learn. As we grow, so do you. Let’s make a difference together! + + + + +A Culture of Collaboration and Fun: We're a team that works, grows, and celebrates together. At CAAT, you belong to a collaborative, inclusive and lively environment that sparks creativity and fosters open communication. + + + + +Making a Difference, Together: We're on a mission to secure a better future for Canadians. Your meaningful contributions go beyond the workplace, touching lives and making a significant societal impact. Work that truly counts! + + + + +But don't just take our word for it! We’ve consistently been recognized as one of Canada's Most Admired Corporate Cultures, as one of Greater Toronto's Top Employers, and one of the Best Places to Work. + +Learn more about us by visiting www.caatpension.ca/careers + +Diversity, Equity, Inclusion, and Belonging: + +Diversity, Equity, Inclusion, and Belonging (DEIB) at CAAT means we respect and value the broadest range of experiences, geographies, gender, ethnicities, backgrounds, and perspectives as key elements of our culture. Our vision is to provide an environment where employees can bring their best, professional, authentic, selves to work. + + + + +CAAT Pension Plan is an equal opportunity employer, and we will accommodate any needs under the Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code. Hiring processes will be modified to remove barriers to accommodate those with disabilities, if requested. Should any applicant require accommodation through the application processes, please contact us at hr@caatpension.ca or call Human Resources at 416-673-9000for assistance. + +Show more ","
    + + + + + +
    +
    +

    Our mission is to provide a secure, valuable, and sustainable workplace retirement solutions for Canadians. At CAAT, we live our values of integrity, impact, and teamwork every day.


    The Senior Data Analyst is integral to the success of the Business Development Research & Data team, and to CAAT’s guiding mission and growth strategy.


    This role’s primary focus will be data management and reporting to assist the Pension Solutions team in proactively managing relationships with external organizations and reporting on activities. The role provides additional support in performing research and documenting processes as required.


    The role works closely with the Manager, Business Development Research & Data and guides the team’s other analysts and co-op students in a fast-paced environment with concurrent deliverables.


    We are looking for someone with:

    • A degree or diploma in data management, data analytics, statistics, or a related field.
    • At least five (5) years of experience in data analysis, preferably within the pension or finance sectors.
    • Experience with Salesforce and either holding or working towards Salesforce certification.
    • Proven ability to manage multiple tasks efficiently, set priorities, and oversee team projects independently.
    • Familiarity with CRM tools and/or Power BI is a plus.
    • Exceptional attention to detail and accuracy.
    • Proficiency in Microsoft Office Suite, with advanced Excel skills.
    • A knack for innovative thinking and problem-solving.
    • Knowledge of pension plans, group benefits, or labor relations is advantageous.
    • Strong written and verbal communication skills.


    The successful candidate will demonstrate:

    • Excellent organizational skills with a proactive and solution-oriented approach to task and project management.
    • Effective communication and training skills, with the ability to convey complex information clearly.
    • A strategic mindset and resourcefulness in addressing challenges and improving processes.
    • Dedication to CAAT’s values and organizational culture, including integrity, teamwork, respect, and optimism.


    Once here you will:

    • Guide the team in maintaining, processing, and analyzing stakeholder data, ensuring accuracy and attention to detail.
    • Train and support new team members and internal stakeholders on tools and processes, providing clear documentation and updates.
    • Analyze and report on key performance indicators to support strategic initiatives and inform decision-making.
    • Investigate and implement improvements in Salesforce, working with relevant teams to develop and test new features.
    • Develop and apply best practices to enhance department efficiency and effectiveness, contributing to process improvements.
    • Coordinate with internal teams on various projects, initiatives, and training efforts, ensuring effective communication and documentation.
    • Review and provide feedback on the work of data analysts and co-op students, ensuring high-quality outputs.
    • Conduct research to address data gaps and support organizational needs, contributing to a comprehensive understanding of data requirements.


    Step into CAAT - where your work is both rewarding and meaningful, growth is a constant, fun is the way we roll, and your impact is real! If you meet most of the criteria above, we would love to connect with you.


    Our commitment to you as a CAATster:


    We’re about growing together and creating impact in a collaborative and caring environment!


    Comprehensive & Holistic Care: Your dedication deserves appreciation! At CAAT, we celebrate the complete you, prioritizing your well-being above all. Our all-encompassing employee programs are designed to cater to every aspect of your life and well-being, ensuring you feel cherished and valued. We provide a competitive Total Rewards program based around your physical, mental, and financial wellness. This includes, but is not limited to, your compensation, paid time off, health and dental benefits, wellness programs, wellness incentives, and (of course) a defined benefit pension plan.


    Growth Opportunities: Embrace a vibrant, ever-evolving environment at CAAT, where growth is not just a goal, but our way of life! We're expanding and transforming constantly, which means endless opportunities for you to adapt, innovate, and learn. As we grow, so do you. Let’s make a difference together!


    A Culture of Collaboration and Fun: We're a team that works, grows, and celebrates together. At CAAT, you belong to a collaborative, inclusive and lively environment that sparks creativity and fosters open communication.


    Making a Difference, Together: We're on a mission to secure a better future for Canadians. Your meaningful contributions go beyond the workplace, touching lives and making a significant societal impact. Work that truly counts!


    But don't just take our word for it! We’ve consistently been recognized as one of Canada's Most Admired Corporate Cultures, as one of Greater Toronto's Top Employers, and one of the Best Places to Work.

    Learn more about us by visiting www.caatpension.ca/careers

    Diversity, Equity, Inclusion, and Belonging:

    Diversity, Equity, Inclusion, and Belonging (DEIB) at CAAT means we respect and value the broadest range of experiences, geographies, gender, ethnicities, backgrounds, and perspectives as key elements of our culture. Our vision is to provide an environment where employees can bring their best, professional, authentic, selves to work.


    CAAT Pension Plan is an equal opportunity employer, and we will accommodate any needs under the Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code. Hiring processes will be modified to remove barriers to accommodate those with disabilities, if requested. Should any applicant require accommodation through the application processes, please contact us at hr@caatpension.ca or call Human Resources at 416-673-9000for assistance.

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    ",2024-08-19,[] +4006276663,https://ca.linkedin.com/jobs/view/data-analyst-sql-at-terminal-4006276663?position=33&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=z0GrbPHsVbrI3c8Dfdw8KQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - SQL,Terminal,Canada,"About Ostro + +At Ostro, our mission is to help millions of people live healthier lives by being the missing, caring link between those who make medicines, treatments, and diagnostics, and those who take them. We create personalized healthcare journeys that boost engagement and drive improved value for consumers, HCPs, and life sciences brands. + +About The Role + +Role Overview: We are seeking a skilled and detail-oriented Data Analyst to join our team and help architect the future of life science commercialization through our enterprise SaaS products. This role will be pivotal in working closely with our Customer Success and Product teams to translate data into actionable insights that drive business decisions. The ideal candidate will have strong technical skills, particularly in SQL, and experience working with BI tools, with some previous experience working with marketing or website data. + +What You’ll Do + +Key Responsibilities: + + +Collaborate with Customer Success and Product teams to understand data needs and translate them into technical requirements. +Analyze and interpret complex datasets to identify trends, patterns, and actionable insights. +Develop and maintain key metrics from raw instrumentation events. +Create and maintain data dashboards and reports using Metabase and BigQuery. +Ensure data integrity and accuracy by processing, cleaning, and verifying data used for analysis. +Leverage data visualization tools to effectively communicate findings to stakeholders. + + +What You’ll Bring + +Required Skills: + + +2-5 years of experience as a Data Analyst. +Proficiency in SQL. +Experience with BI tools (Metabase preferred). +Strong data visualization skills. Nice-to-Have: +Strong preference for candidates with experience with digital marketing data, including website performance analysis, attribution modeling, and using analytics platforms such as Google Analytics. +Experience with DBT. +Background in SaaS or related industries. +Show more ","
    + + + + + +
    +
    + About Ostro

    At Ostro, our mission is to help millions of people live healthier lives by being the missing, caring link between those who make medicines, treatments, and diagnostics, and those who take them. We create personalized healthcare journeys that boost engagement and drive improved value for consumers, HCPs, and life sciences brands.

    About The Role

    Role Overview: We are seeking a skilled and detail-oriented Data Analyst to join our team and help architect the future of life science commercialization through our enterprise SaaS products. This role will be pivotal in working closely with our Customer Success and Product teams to translate data into actionable insights that drive business decisions. The ideal candidate will have strong technical skills, particularly in SQL, and experience working with BI tools, with some previous experience working with marketing or website data.

    What You’ll Do

    Key Responsibilities:

    • Collaborate with Customer Success and Product teams to understand data needs and translate them into technical requirements.
    • Analyze and interpret complex datasets to identify trends, patterns, and actionable insights.
    • Develop and maintain key metrics from raw instrumentation events.
    • Create and maintain data dashboards and reports using Metabase and BigQuery.
    • Ensure data integrity and accuracy by processing, cleaning, and verifying data used for analysis.
    • Leverage data visualization tools to effectively communicate findings to stakeholders.

    What You’ll Bring

    Required Skills:

    • 2-5 years of experience as a Data Analyst.
    • Proficiency in SQL.
    • Experience with BI tools (Metabase preferred).
    • Strong data visualization skills. Nice-to-Have:
    • Strong preference for candidates with experience with digital marketing data, including website performance analysis, attribution modeling, and using analytics platforms such as Google Analytics.
    • Experience with DBT.
    • Background in SaaS or related industries.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4005889563,https://ca.linkedin.com/jobs/view/data-analyst-position-at-artisoft-technology-inc-4005889563?position=34&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=WOKc3QEhKAPDxBNq9RryoA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst Position,ArtiSoft Technology Inc.,"Montreal, Quebec, Canada","ArtiSoft is a Montreal-based startup founded by technologists with extensive experience in processing healthcare data and a passion for optimizing business processes and analytics models.  We work in enabling businesses to self-serve in an IT approved environment. + + + + +We are looking for a Data Analyst  to join our dynamic team. In this role, you will work closely with our JetStore Data Platform using Healthcare Data and work with our customers to help them define and maintain data pipelines and data transformation to produce high quality analytics reports. + + + + +The ideal candidate would have skills and experience in manipulating and extracting data from various data sources using AWS tools, work with SQL to produce reports, as well as good communication skills. + + + + +Highly motivated new grads with demonstrated talent in these areas are encouraged to apply.  This is an extraordinary opportunity for learning new skills, including client interaction skills, as well as managing and deploying cloud-based data pipelines. + + + + +Required skills and qualifications: + +JSON data format +SQL database +Data analysis +GIT source control + + + + +Knowledge of / Other experience + +Postgresql database +AWS cloud tools +Github +Object Oriented data model +SQL data model +Semantic Web +ontology  +OWL - web ontology language + + + + +Salary is competitive based on qualifications and experience. + +Job Type: Regular, Full Time + +Work location: Primarily work from Home with some onsite meetings / workshops. + + + + +ArtiSoft is mostly a French speaking work environment; however, our clients are located in the US, which requires English communication skills.  + + + + +At ArtiSoft, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.  + +Show more ","
    + + + + + +
    +
    +

    ArtiSoft is a Montreal-based startup founded by technologists with extensive experience in processing healthcare data and a passion for optimizing business processes and analytics models.  We work in enabling businesses to self-serve in an IT approved environment.


    We are looking for a Data Analyst  to join our dynamic team. In this role, you will work closely with our JetStore Data Platform using Healthcare Data and work with our customers to help them define and maintain data pipelines and data transformation to produce high quality analytics reports.


    The ideal candidate would have skills and experience in manipulating and extracting data from various data sources using AWS tools, work with SQL to produce reports, as well as good communication skills.


    Highly motivated new grads with demonstrated talent in these areas are encouraged to apply.  This is an extraordinary opportunity for learning new skills, including client interaction skills, as well as managing and deploying cloud-based data pipelines.


    Required skills and qualifications:

    • JSON data format
    • SQL database
    • Data analysis
    • GIT source control


    Knowledge of / Other experience

    • Postgresql database
    • AWS cloud tools
    • Github
    • Object Oriented data model
    • SQL data model
    • Semantic Web
    • ontology 
    • OWL - web ontology language


    Salary is competitive based on qualifications and experience.

    Job Type: Regular, Full Time

    Work location: Primarily work from Home with some onsite meetings / workshops.


    ArtiSoft is mostly a French speaking work environment; however, our clients are located in the US, which requires English communication skills. 


    At ArtiSoft, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. 

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3995653557,https://ca.linkedin.com/jobs/view/senior-data-analyst-at-ltimindtree-3995653557?position=35&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=DqK%2FZRl8E2ep60z4UyjqFQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,LTIMindtree,"Markham, Ontario, Canada","About Us: + +LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com. + +Job Title: + +Senior Data Analyst + + + + +Work Location + +Markham, CA + + + + +Job Description: + +We are seeking a collaborative and resourceful Senior Data Systems Analyst for our fastpaced Information Technology Enterprise Data Services Delivery function at Client’s Canada You will be part of the data systems analysis team and help scale the data and analytics capabilities You will be responsible for being a liaison between various business units and technical data teams Youll be required to apply your depth of knowledge and expertise to all areas including requirements documentation road mapping data analysis and data analytics Further you will be part of the data transformation initiatives to help Client’s build the right data mindset to enable our directtoconsumer business data science capabilities and expand our digital footprint + + + + +Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): + + + + +Benefits and Perks: + +Comprehensive Medical Plan Covering Medical, Dental, Vision + +Short Term and Long-Term Disability Coverage + +401(k) Plan with Company match + +Life Insurance + +Vacation Time, Sick Leave, Paid Holidays + +Paid Paternity and Maternity Leave + + + + +The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. + + + + +Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. + + + + +LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. + +Safe return to office: + +In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes. + +Show more ","
    + + + + + +
    +
    +

    About Us:

    LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com.

    Job Title:

    Senior Data Analyst


    Work Location

    Markham, CA


    Job Description:

    We are seeking a collaborative and resourceful Senior Data Systems Analyst for our fastpaced Information Technology Enterprise Data Services Delivery function at Client’s Canada You will be part of the data systems analysis team and help scale the data and analytics capabilities You will be responsible for being a liaison between various business units and technical data teams Youll be required to apply your depth of knowledge and expertise to all areas including requirements documentation road mapping data analysis and data analytics Further you will be part of the data transformation initiatives to help Client’s build the right data mindset to enable our directtoconsumer business data science capabilities and expand our digital footprint


    Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):


    Benefits and Perks:

    Comprehensive Medical Plan Covering Medical, Dental, Vision

    Short Term and Long-Term Disability Coverage

    401(k) Plan with Company match

    Life Insurance

    Vacation Time, Sick Leave, Paid Holidays

    Paid Paternity and Maternity Leave


    The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.


    Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.


    LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

    Safe return to office:

    In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +3997526991,https://ca.linkedin.com/jobs/view/data-analyst-at-vaco-3997526991?position=36&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=rvV2dcYpiGVYhQM03Rzy0A%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Vaco,"Montreal, Quebec, Canada","Data Analyst / Analyste de données + + + + +Your Role: + +Take charge of supporting and evolving complex applications. +Understand the strategy, challenges, and operational reality of business sectors to guide IT teams in developing innovative and efficient solutions. +Identify and mitigate impacts in transformation projects, ongoing programs, and new initiatives. +Ensure the operationalization of new solutions, including change management, quality assurance, process upgrades, and handover to operations. +Advise business sectors and IT management on strategic directions based on business objectives, standards and regulations, and technological trends. + + + + +Development Opportunities: We value continuous development and internal mobility. Our personalized training programs, focused on learning through action, enable you to master your role and expand into new areas of expertise. Accessible tools include the Data Academy, language training, Harvard Learning Center resources, and personalized coaching and mentorship. + + + + +Requirements: + +Bachelor's degree in Computer Science or a related field, with 5 years of relevant experience. +Experience in supporting and analyzing complex applications. +Experience with SQL, Linux, and networking is an asset. +Knowledge of fraud and compliance domains is advantageous. +Strong communication skills with the ability to simplify complex IT concepts. +Goal-oriented with a commitment to meeting deadlines. + + + + +Data Analyst / Analyste de données + + + + +Votre rôle : + +Prendre en charge le soutien et l'évolution d'applications complexes. +Comprendre la stratégie, les défis et la réalité opérationnelle des secteurs d'activité afin de guider les équipes informatiques dans l'élaboration de solutions innovantes et efficaces. +Identifier et atténuer les impacts des projets de transformation, des programmes en cours et des nouvelles initiatives. +Assurer l'opérationnalisation des nouvelles solutions, y compris la gestion du changement, l'assurance qualité, la mise à niveau des processus et le transfert aux opérations. +Conseiller les secteurs d'activité et la direction informatique sur les orientations stratégiques en fonction des objectifs de l'entreprise, des normes et réglementations et des tendances technologiques. + + + + +Possibilités de développement : Nous accordons une grande importance au développement continu et à la mobilité interne. Nos programmes de formation personnalisés, axés sur l'apprentissage par l'action, vous permettent de maîtriser votre rôle et de développer de nouveaux domaines d'expertise. Parmi les outils accessibles, citons la Data Academy, la formation linguistique, les ressources du Harvard Learning Center, ainsi que le coaching et le mentorat personnalisés. + + + + +Exigences : + +Licence en informatique ou dans un domaine connexe, avec 5 ans d'expérience pertinente. +Expérience dans le soutien et l'analyse d'applications complexes. +Une expérience de SQL, Linux et des réseaux est un atout. +Une connaissance des domaines de la fraude et de la conformité est un atout. +Solides compétences en matière de communication et capacité à simplifier des concepts informatiques complexes. +Orienté vers les objectifs et soucieux de respecter les délais. + +Show more ","
    + + + + + +
    +
    +

    Data Analyst / Analyste de données


    Your Role:

    • Take charge of supporting and evolving complex applications.
    • Understand the strategy, challenges, and operational reality of business sectors to guide IT teams in developing innovative and efficient solutions.
    • Identify and mitigate impacts in transformation projects, ongoing programs, and new initiatives.
    • Ensure the operationalization of new solutions, including change management, quality assurance, process upgrades, and handover to operations.
    • Advise business sectors and IT management on strategic directions based on business objectives, standards and regulations, and technological trends.


    Development Opportunities: We value continuous development and internal mobility. Our personalized training programs, focused on learning through action, enable you to master your role and expand into new areas of expertise. Accessible tools include the Data Academy, language training, Harvard Learning Center resources, and personalized coaching and mentorship.


    Requirements:

    • Bachelor's degree in Computer Science or a related field, with 5 years of relevant experience.
    • Experience in supporting and analyzing complex applications.
    • Experience with SQL, Linux, and networking is an asset.
    • Knowledge of fraud and compliance domains is advantageous.
    • Strong communication skills with the ability to simplify complex IT concepts.
    • Goal-oriented with a commitment to meeting deadlines.


    Data Analyst / Analyste de données


    Votre rôle :

    • Prendre en charge le soutien et l'évolution d'applications complexes.
    • Comprendre la stratégie, les défis et la réalité opérationnelle des secteurs d'activité afin de guider les équipes informatiques dans l'élaboration de solutions innovantes et efficaces.
    • Identifier et atténuer les impacts des projets de transformation, des programmes en cours et des nouvelles initiatives.
    • Assurer l'opérationnalisation des nouvelles solutions, y compris la gestion du changement, l'assurance qualité, la mise à niveau des processus et le transfert aux opérations.
    • Conseiller les secteurs d'activité et la direction informatique sur les orientations stratégiques en fonction des objectifs de l'entreprise, des normes et réglementations et des tendances technologiques.


    Possibilités de développement : Nous accordons une grande importance au développement continu et à la mobilité interne. Nos programmes de formation personnalisés, axés sur l'apprentissage par l'action, vous permettent de maîtriser votre rôle et de développer de nouveaux domaines d'expertise. Parmi les outils accessibles, citons la Data Academy, la formation linguistique, les ressources du Harvard Learning Center, ainsi que le coaching et le mentorat personnalisés.


    Exigences :

    • Licence en informatique ou dans un domaine connexe, avec 5 ans d'expérience pertinente.
    • Expérience dans le soutien et l'analyse d'applications complexes.
    • Une expérience de SQL, Linux et des réseaux est un atout.
    • Une connaissance des domaines de la fraude et de la conformité est un atout.
    • Solides compétences en matière de communication et capacité à simplifier des concepts informatiques complexes.
    • Orienté vers les objectifs et soucieux de respecter les délais.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +3934210198,https://ca.linkedin.com/jobs/view/staff-data-analyst-growth-at-stripe-3934210198?position=40&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=jJNW22CE%2Bzd86%2FoL%2FV4NTQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Staff Data Analyst, Growth",Stripe,"Toronto, Ontario, Canada","Who we are + +About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Our GTM (Go-To-Market) Analytics team is on the mission to maximize revenue by providing actionable insights and reporting to our partners across Sales, Marketing, and Growth. GTM Analytics is situated within the broader Data Science organization at Stripe, which is home to a diverse team of data analysts and scientists, product managers, and engineers that span their focus across sales, marketing, and product-led growth. GTM Analytics leverages sales, marketing, and product data to build and provide a wide variety of tools that are utilized across the company to drive business decisions. + +What you’ll do + +As a senior member of the GTM Analytics team, you will lead analytical projects that shed light on our self-service business. You will increase our understanding of growth drivers and influence business outcomes by recommending solutions rooted in analyses and your deep understanding of Stripe’s users. You will partner closely with cross-functional Growth pods of product managers, marketers, engineers, and data analysts and scientists that obsess over the experience Stripe users have on their journey to become customers – from initial signup through onboarding and retention. + +Responsibilities + + +Collaborate with Growth stakeholders to ideate, scope, and develop data products that shed light on Stripe’s self-service business. +Influence Stripe’s Growth roadmap by proactively identifying opportunities and emerging trends in Stripe’s Growth business in ongoing forums. +Develop frameworks that allow for analysis at scale across Stripe’s self-service experience. +Build and maintain data pipelines and dashboards that provide consistent and timely data and insights. +Work with finance partners on forecasting and planning models that provide visibility into the future of Stripe’s self-service business. +Define key Growth metrics, gain consensus around their definitions, and drive adoption of their usage. + + + +Who you are + +We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +8+ years of experience in analytical roles working with large datasets +Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field +Proficiency in SQL and Python +Experience building self-serve dashboards or other scalable analytical tools for partner teams +Strong knowledge of statistics +Expertise in data storytelling and visualization, using data-driven insights to deliver actionable recommendations and drive business goals +Demonstrated ability to lead and deliver on multiple projects with a high attention to detail +Outstanding written and verbal communication skills + + + +Preferred Qualifications + + +Master’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field and/or experience in working on data analytics in the tech field +Experience developing data-informed narratives and visualizations for external publication +Experience working with institutions that are respected by policymakers and the wider public for their economic insight +Experience building and maintaining data pipelines using a distributed data framework (e.g. Hadoop, Spark) + + + +Hybrid work at Stripe + +This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. + +Pay and benefits + +The annual US base salary range for this role is $179,000 - $268,400. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. + +Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. +Show more ","
    + + + + + +
    +
    + Who we are

    About Stripe

    Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

    About The Team

    Our GTM (Go-To-Market) Analytics team is on the mission to maximize revenue by providing actionable insights and reporting to our partners across Sales, Marketing, and Growth. GTM Analytics is situated within the broader Data Science organization at Stripe, which is home to a diverse team of data analysts and scientists, product managers, and engineers that span their focus across sales, marketing, and product-led growth. GTM Analytics leverages sales, marketing, and product data to build and provide a wide variety of tools that are utilized across the company to drive business decisions.

    What you’ll do

    As a senior member of the GTM Analytics team, you will lead analytical projects that shed light on our self-service business. You will increase our understanding of growth drivers and influence business outcomes by recommending solutions rooted in analyses and your deep understanding of Stripe’s users. You will partner closely with cross-functional Growth pods of product managers, marketers, engineers, and data analysts and scientists that obsess over the experience Stripe users have on their journey to become customers – from initial signup through onboarding and retention.

    Responsibilities

    • Collaborate with Growth stakeholders to ideate, scope, and develop data products that shed light on Stripe’s self-service business.
    • Influence Stripe’s Growth roadmap by proactively identifying opportunities and emerging trends in Stripe’s Growth business in ongoing forums.
    • Develop frameworks that allow for analysis at scale across Stripe’s self-service experience.
    • Build and maintain data pipelines and dashboards that provide consistent and timely data and insights.
    • Work with finance partners on forecasting and planning models that provide visibility into the future of Stripe’s self-service business.
    • Define key Growth metrics, gain consensus around their definitions, and drive adoption of their usage.


    Who you are

    We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

    Minimum Requirements

    • 8+ years of experience in analytical roles working with large datasets
    • Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field
    • Proficiency in SQL and Python
    • Experience building self-serve dashboards or other scalable analytical tools for partner teams
    • Strong knowledge of statistics
    • Expertise in data storytelling and visualization, using data-driven insights to deliver actionable recommendations and drive business goals
    • Demonstrated ability to lead and deliver on multiple projects with a high attention to detail
    • Outstanding written and verbal communication skills


    Preferred Qualifications

    • Master’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field and/or experience in working on data analytics in the tech field
    • Experience developing data-informed narratives and visualizations for external publication
    • Experience working with institutions that are respected by policymakers and the wider public for their economic insight
    • Experience building and maintaining data pipelines using a distributed data framework (e.g. Hadoop, Spark)


    Hybrid work at Stripe

    This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

    Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

    A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

    Pay and benefits

    The annual US base salary range for this role is $179,000 - $268,400. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

    Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4006861663,https://ca.linkedin.com/jobs/view/business-intelligence-analyst-at-forsyth-barnes-4006861663?position=41&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=1fysF7a7TXRmDoPJROAXZA%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Analyst,Forsyth Barnes,Canada,"Role: Business Intelligence Analyst + +Job Type: Contract + +Rate: up to $70 CAD per hour + +Location: Canada (Remote) + +Sector: Veterinary + +Contact: Lucy.davies@forsythbarnes.com + +Overview: + +Forsyth Barnes is partnered with a Giant in the Veterinary space! As the Business intelligence analyst, you will be at the front and centre of their global payment migration project! your primary responsibility will be collecting and analysing data to identify trends and patterns that inform future business decisions, Designing data analysis methodologies and compiling reports to present to senior management & stakeholders whilst fostering collaboration with cross-functional teams. + +Requirements: + +MUST be based in Canada. And able to work EST time zone. +strong communication skills & soft skills able to use initiative and clear solutions of dashboarding +Extensive experience in Power BI +Extensive experience in DAX +Extensive experience in M code +Advanced in Excel +Self-starter who is able to work independently +Proven track record of stakeholder engagement +Experience in facilitating and leading coaching sessions +Strong background in either Healthcare or pet healthcare industry + +If you are interested, please apply by emailing me with a copy of your most up-to-date Profile. + +Please feel free to pass this on to anyone you think it may suit / anyone you know who may be interested. + +Show more ","
    + + + + + +
    +
    +

    Role: Business Intelligence Analyst

    Job Type: Contract

    Rate: up to $70 CAD per hour

    Location: Canada (Remote)

    Sector: Veterinary

    Contact: Lucy.davies@forsythbarnes.com

    Overview:

    Forsyth Barnes is partnered with a Giant in the Veterinary space! As the Business intelligence analyst, you will be at the front and centre of their global payment migration project! your primary responsibility will be collecting and analysing data to identify trends and patterns that inform future business decisions, Designing data analysis methodologies and compiling reports to present to senior management & stakeholders whilst fostering collaboration with cross-functional teams.

    Requirements:

    • MUST be based in Canada. And able to work EST time zone.
    • strong communication skills & soft skills able to use initiative and clear solutions of dashboarding
    • Extensive experience in Power BI
    • Extensive experience in DAX
    • Extensive experience in M code
    • Advanced in Excel
    • Self-starter who is able to work independently
    • Proven track record of stakeholder engagement
    • Experience in facilitating and leading coaching sessions
    • Strong background in either Healthcare or pet healthcare industry

    If you are interested, please apply by emailing me with a copy of your most up-to-date Profile.

    Please feel free to pass this on to anyone you think it may suit / anyone you know who may be interested.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4000711050,https://ca.linkedin.com/jobs/view/data-analyst-with-exp-analyzing-data-on-video-device-at-zortech-solutions-4000711050?position=42&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=1HZUnmCNw%2FO5Naywy9oY3w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst with exp analyzing data on Video Device,Zortech Solutions,"Toronto, Ontario, Canada","Hi, + +Hope you are doing Great!!! + +This side Priya Rajput from Zortech Solutions trying to reach you for an exciting job opening, kindly have a look to job description and revert me with your positive feedback. My mail ID is priya@zortechsolutions.ca or call me on +1 (437) 370-7612. + +Role: Data Analyst with exp analyzing data on Video Device + +Location: Remote/Canada + +Duration: 6-12 Months + +Job Description + + +Develop and optimize accurate, high performing data pipelines using GCP platform +SQL, BI layers, BigQuery, Dataflow, Kafka. +code in JavaScript or Python. +RESTful services. + + +Great-to-haves (Almost a Must) + + +Device management protocols such as TR-069 and TR-369. +Messaging and streaming technologies such as STOMP, MQTT, AMQP. +Practical experience in delivering best-in-class video entertainment experiences +JIRA and Confluence knowledge +Experience with CI/CD using technologies like GitHub Actions + + +-- + +Thanks & Regards + +Priya Rajput | Account Manager + +Email- priya@zortechsolutions.ca + +2600 Skymark Ave, Building 7 Suite 104, Mississauga Ontario, L4W 5B2 Canada. + +The information contained in this electronic message and any attachments to this message are intended for the exclusive use of the addressee(s) and may contain proprietary, confidential or privileged information. If you are not the intended recipient, you should not disseminate, distribute or copy this e-mail. Please notify the sender immediately and destroy all copies of this message and any attachments. The views expressed in this E-mail message (including the enclosure/(s) or attachment/(s) if any) are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of ZorTech Solutions Inc. Before opening any e-mail and attachments please check them for viruses. ZorTech Solutions Inc does not accept any liability for virus infected mails. +Show more ","
    + + + + + +
    +
    + Hi,

    Hope you are doing Great!!!

    This side Priya Rajput from Zortech Solutions trying to reach you for an exciting job opening, kindly have a look to job description and revert me with your positive feedback. My mail ID is priya@zortechsolutions.ca or call me on +1 (437) 370-7612.

    Role: Data Analyst with exp analyzing data on Video Device

    Location: Remote/Canada

    Duration: 6-12 Months

    Job Description

    • Develop and optimize accurate, high performing data pipelines using GCP platform
    • SQL, BI layers, BigQuery, Dataflow, Kafka.
    • code in JavaScript or Python.
    • RESTful services.

    Great-to-haves (Almost a Must)

    • Device management protocols such as TR-069 and TR-369.
    • Messaging and streaming technologies such as STOMP, MQTT, AMQP.
    • Practical experience in delivering best-in-class video entertainment experiences
    • JIRA and Confluence knowledge
    • Experience with CI/CD using technologies like GitHub Actions

    --

    Thanks & Regards

    Priya Rajput | Account Manager

    Email- priya@zortechsolutions.ca

    2600 Skymark Ave, Building 7 Suite 104, Mississauga Ontario, L4W 5B2 Canada.

    The information contained in this electronic message and any attachments to this message are intended for the exclusive use of the addressee(s) and may contain proprietary, confidential or privileged information. If you are not the intended recipient, you should not disseminate, distribute or copy this e-mail. Please notify the sender immediately and destroy all copies of this message and any attachments. The views expressed in this E-mail message (including the enclosure/(s) or attachment/(s) if any) are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of ZorTech Solutions Inc. Before opening any e-mail and attachments please check them for viruses. ZorTech Solutions Inc does not accept any liability for virus infected mails. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4008841010,https://ca.linkedin.com/jobs/view/business-data-analyst-at-finance-professionals-inc-4008841010?position=45&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=Z5Kb9Z5lrqyGAqVW9W9lkg%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst,Finance Professionals Inc.,"Toronto, Ontario, Canada","Location Address: Hybrid (once a week preferred; as required for town halls and group events) – Downtown, Toronto + +Contract role + + + + +Typical Day in Role: + +• Experience working in data management and can provide hands-on support on the implementation according to Data Office playbooks, guidelines, standards, and policies (e.g., documenting initiatives, use cases, data tiering and classification, critical data elements and business data elements) + +• Performs any necessary data mapping and data lineage activities and documents information flows to support specific business requirements + +• Performs data profiling, analyzes and communicates results in support of data quality processes + +• Builds the metadata model and business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems + +• Participates in knowledge transfer within the team, business units and provide recommendation opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team + +• Monitors project progress by tracking activity, resolving problems, publishing progress reports and recommending actions. + +• Work in an Agile mindset to accelerate the delivery of the project + +• Prepares technical reports by collecting, analyzing, and summarizing information and trends + +• Assesses, researches, analyzes, and documents project needs and outcomes by selecting the appropriate information gathering and/or modelling technique to elicit requirements + + + + +Candidate Requirements/Must Have Skills: + +• 8+ years of experience working on business analysis processes, frameworks with documenting processes and data flows + +• 5+ Years of experience working with SQL. + +• 3+ years of experience working with data concepts (metadata, data mapping, data quality, data modeling, data governance) + +• 3+ years of experience working with agile project methodology + +• 2+ years of experience working with data models, data relationships, mapping lineage and business rules. + +• Familiar with Data Management Tool such as Colibra or Talend or any other. + + + + +Nice-To-Have Skills: + +• Knowledge on Python + +• Working knowledge of data flows within a large enterprise. + +• Understanding of Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services) + +Show more ","
    + + + + + +
    +
    +

    Location Address: Hybrid (once a week preferred; as required for town halls and group events) – Downtown, Toronto

    Contract role


    Typical Day in Role:

    • Experience working in data management and can provide hands-on support on the implementation according to Data Office playbooks, guidelines, standards, and policies (e.g., documenting initiatives, use cases, data tiering and classification, critical data elements and business data elements)

    • Performs any necessary data mapping and data lineage activities and documents information flows to support specific business requirements

    • Performs data profiling, analyzes and communicates results in support of data quality processes

    • Builds the metadata model and business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems

    • Participates in knowledge transfer within the team, business units and provide recommendation opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team

    • Monitors project progress by tracking activity, resolving problems, publishing progress reports and recommending actions.

    • Work in an Agile mindset to accelerate the delivery of the project

    • Prepares technical reports by collecting, analyzing, and summarizing information and trends

    • Assesses, researches, analyzes, and documents project needs and outcomes by selecting the appropriate information gathering and/or modelling technique to elicit requirements


    Candidate Requirements/Must Have Skills:

    • 8+ years of experience working on business analysis processes, frameworks with documenting processes and data flows

    • 5+ Years of experience working with SQL.

    • 3+ years of experience working with data concepts (metadata, data mapping, data quality, data modeling, data governance)

    • 3+ years of experience working with agile project methodology

    • 2+ years of experience working with data models, data relationships, mapping lineage and business rules.

    • Familiar with Data Management Tool such as Colibra or Talend or any other.


    Nice-To-Have Skills:

    • Knowledge on Python

    • Working knowledge of data flows within a large enterprise.

    • Understanding of Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4004869133,https://ca.linkedin.com/jobs/view/data-analyst-at-bibliocommons-4004869133?position=46&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=dGvJ9biSNml%2BThnN1U5C3g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,BiblioCommons,"Ontario, Canada","About The Company + + + + +At BiblioCommons, we build SaaS solutions for public libraries directly impacting the lives of millions and fostering learning, literacy and culture within the digital world. We are constantly improving our products through user research, client interaction, and the input of our creative staff. + +BiblioCommons offers an opportunity to work in an environment that combines the challenges and complexity of large-scale, data-intensive applications with the creativity and fun of a sophisticated consumer web offering, central to the daily web interactions of millions of users. + +We’re a highly collaborative team that applies innovative solutions to challenging problems. We’re committed to doing things right and always looking for ways to do them better. We take the time to optimize and redesign systems to ensure they are robust and scalable. + + + + +Job Summary: + +We are looking for a Data Analyst to work with our Data Engineering team and provide support in completing a variety of functions relating to new data and reporting initiatives. + + + + +Job Description: + +We are looking for a Data Analyst to work with our Data Engineering team and provide support in completing a variety of functions relating to new data and reporting initiatives. + +The position will be responsible for aggregating data from multiple sources and turning it into insightful, actionable reporting. + + + + +How you’ll make an impact: + +Turn large data sets into relevant, actionable reporting that is easy to understand. +Design and create visual reports for internal and external stakeholders. +Hypothesize about and analyze data to gain insights on past and future library user trends. +Collaborate with the team to develop and productize new data reports from user and library data. +Take part in requirements analysis directly with customers. +Develop reporting and visualizations for customers and internal use. +Contribute towards establishing data best practices at BiblioCommons. + + + + +This is a remote 6-month contract role based out of Canada. + + + + + + + +What you bring to the team: + +Bachelor’s degree in computer science, Information Systems, or a related field. +3+ years of experience in data analysis, BI reporting, and visualization. +Strong SQL skills. +Understanding of databases and data modelling, including understanding of interdependencies across database tables and attributes. +Strong analytical and problem-solving skills, with a keen attention to detail. +Excellent communication and interpersonal skills, with the ability to work effectively in a team environment. +Familiarity with Agile development methodologies is a plus. + + + + +Bonus points for experience with: + +GA4 and its BigQuery data model +Apache Superset, PowerBI, or similar visualization tools +GCP data services (ie. BigQuery, Cloud Composer, etc) or AWS equivalents +Data analysis and statistics tools (ie. R, Pandas, Statsmodels, etc) +Modelling and data quality tools (ie. DBT, Great Expectations, or similar) +Dagster, Airflow, or other data orchestration frameworks + + + + +BiblioCommons is an equal opportunity employer, we recruit, hire, train, promote and provide all other privileges of employment to qualified people without regard to age, race, colour, creed, national origin, gender, gender identity, gender expression, disability, marital status, citizenship status, ethnicity, familial status, religion, sexual orientation or any other classification for which discrimination is prohibited. + + + + +Show more ","
    + + + + + +
    +
    +

    About The Company


    At BiblioCommons, we build SaaS solutions for public libraries directly impacting the lives of millions and fostering learning, literacy and culture within the digital world. We are constantly improving our products through user research, client interaction, and the input of our creative staff.

    BiblioCommons offers an opportunity to work in an environment that combines the challenges and complexity of large-scale, data-intensive applications with the creativity and fun of a sophisticated consumer web offering, central to the daily web interactions of millions of users.

    We’re a highly collaborative team that applies innovative solutions to challenging problems. We’re committed to doing things right and always looking for ways to do them better. We take the time to optimize and redesign systems to ensure they are robust and scalable.


    Job Summary:

    We are looking for a Data Analyst to work with our Data Engineering team and provide support in completing a variety of functions relating to new data and reporting initiatives.


    Job Description:

    We are looking for a Data Analyst to work with our Data Engineering team and provide support in completing a variety of functions relating to new data and reporting initiatives.

    The position will be responsible for aggregating data from multiple sources and turning it into insightful, actionable reporting.


    How you’ll make an impact:

    • Turn large data sets into relevant, actionable reporting that is easy to understand.
    • Design and create visual reports for internal and external stakeholders.
    • Hypothesize about and analyze data to gain insights on past and future library user trends.
    • Collaborate with the team to develop and productize new data reports from user and library data.
    • Take part in requirements analysis directly with customers.
    • Develop reporting and visualizations for customers and internal use.
    • Contribute towards establishing data best practices at BiblioCommons.


    This is a remote 6-month contract role based out of Canada.



    What you bring to the team:

    • Bachelor’s degree in computer science, Information Systems, or a related field.
    • 3+ years of experience in data analysis, BI reporting, and visualization.
    • Strong SQL skills.
    • Understanding of databases and data modelling, including understanding of interdependencies across database tables and attributes.
    • Strong analytical and problem-solving skills, with a keen attention to detail.
    • Excellent communication and interpersonal skills, with the ability to work effectively in a team environment.
    • Familiarity with Agile development methodologies is a plus.


    Bonus points for experience with:

    • GA4 and its BigQuery data model
    • Apache Superset, PowerBI, or similar visualization tools
    • GCP data services (ie. BigQuery, Cloud Composer, etc) or AWS equivalents
    • Data analysis and statistics tools (ie. R, Pandas, Statsmodels, etc)
    • Modelling and data quality tools (ie. DBT, Great Expectations, or similar)
    • Dagster, Airflow, or other data orchestration frameworks


    BiblioCommons is an equal opportunity employer, we recruit, hire, train, promote and provide all other privileges of employment to qualified people without regard to age, race, colour, creed, national origin, gender, gender identity, gender expression, disability, marital status, citizenship status, ethnicity, familial status, religion, sexual orientation or any other classification for which discrimination is prohibited.


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4009136105,https://ca.linkedin.com/jobs/view/data-analyst-at-cgi-4009136105?position=50&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=xQjiHS%2BRII9R0ExBnqGWpA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,CGI,"Edmonton, Alberta, Canada","Position Description + +Are you ready to join an outstanding culture that cares about diversity and inclusion, corporate social responsibility and gives the freedom to innovate, influence decisions, and chart an exciting career? + +CGI is more than just an IT consulting company; be part of a team that supports the local community with the ability draw on global best-in-class talent. CGI is looking for a Data Analyst for its expanding team to assist our clients with their data and analytics journey. Benefits include a share purchase program, profit sharing, wellness credits, training and development programs, and flexible work schedules and locations. + +The responsibilities and requirements that follow provide insight into what a Member at CGI will typically experience in this role and the characteristics they have that lead to success. We are looking for candidates that have a similar mix of experience and qualifications. These are individuals who have a passion to create value for clients by helping them unlock the value in their data assets. + +Your future duties and responsibilities + + +Solve challenging and impactful problems using your data expertise, and ability to communicate compelling insight through data visualizations, reports, and dashboards +Help create the platform, tools, and APIs necessary to enable other teams to work with data +Efficiently handle vast amounts of data from multiple sources and destinations, including relational and NoSQL databases as well as external systems, both in batch processing and real-time delivery +Work on high priority initiatives using advanced analytics, predictive modeling, and data from a variety of data sources to produce actionable business insights +Provide guidance to a customer and project team with respect to technical feasibility, complexity, and level of effort required to deliver a solution +Work closely with other team members to further develop metrics, KPIs, and insights that measure business performance improvements +Assist in the development and delivery of pre and post sales POCs (proof of concept), presentations and proposals for client engagements +Analytical curiosity, strong data-oriented skills, and a statistical programming background + + +Education: + + +Bachelor's degree in mathematics, business, statistics, economics, computer science or information systems (or equivalent combination of skill and experience) + + +Build your career with us: + +As digital transformation continues to accelerate, CGI is at the center of this change—supporting our clients’ digital journeys and offering our professionals exciting career opportunities. + +At CGI, our success comes from the talent and commitment of our professionals. As one team, we share the challenges and rewards that come from growing our company, which reinforces our culture of ownership. All of our professionals benefit from the value we collectively create. + +Be part of building one of the largest independent technology and business services firms in the world. + +Learn more about CGI at www.cgi.com. + +No unsolicited agency referrals please. + +CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodations for people with disabilities in accordance with provincial legislation. Please let us know if you require a reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. + +Required Qualifications To Be Successful In This Role + + +Experience doing data analysis, reporting and advanced analytical modeling +Hands on experience in deploying reporting and analytical solutions to on premise and cloud-based infrastructure +Hands-on experience writing complex SQL queries and working with relational databases such as Oracle, DB2, SQL Server, etc. +Hands-on experience with data reporting and visualization tools like Power BI, Tableau, Qlik…etc. +Experience with modern software development techniques and methodologies: DevSecOps, Agile, etc. +Knowledge and practice of secure software development processes + + +Attributes: + + +Up to date with the latest technology trends and have a strong desire to constantly learn +Highly detailed-oriented with exceptional organizational and follow-through skills +Self-starter and able to execute without a lot of direction or oversight - demonstrable problem-solving skills +Value teamwork and urgency, with a passion for driving impact +Ability to handle multiple priorities and deadlines +Exceptional communication skills, with an ability to make technical concepts accessible and understandable to non-technical business users + + +Together, as owners, let’s turn meaningful insights into action. + +Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… + +You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. + +Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. + +You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. + +At CGI, we recognize the richness that diversity brings. We strive to create a work culture where all belong and collaborate with clients in building more inclusive communities. As an equal-opportunity employer, we want to empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist. + +Come join our team—one of the largest IT and business consulting services firms in the world. + + +Show more ","
    + + + + + +
    +
    + Position Description

    Are you ready to join an outstanding culture that cares about diversity and inclusion, corporate social responsibility and gives the freedom to innovate, influence decisions, and chart an exciting career?

    CGI is more than just an IT consulting company; be part of a team that supports the local community with the ability draw on global best-in-class talent. CGI is looking for a Data Analyst for its expanding team to assist our clients with their data and analytics journey. Benefits include a share purchase program, profit sharing, wellness credits, training and development programs, and flexible work schedules and locations.

    The responsibilities and requirements that follow provide insight into what a Member at CGI will typically experience in this role and the characteristics they have that lead to success. We are looking for candidates that have a similar mix of experience and qualifications. These are individuals who have a passion to create value for clients by helping them unlock the value in their data assets.

    Your future duties and responsibilities

    • Solve challenging and impactful problems using your data expertise, and ability to communicate compelling insight through data visualizations, reports, and dashboards
    • Help create the platform, tools, and APIs necessary to enable other teams to work with data
    • Efficiently handle vast amounts of data from multiple sources and destinations, including relational and NoSQL databases as well as external systems, both in batch processing and real-time delivery
    • Work on high priority initiatives using advanced analytics, predictive modeling, and data from a variety of data sources to produce actionable business insights
    • Provide guidance to a customer and project team with respect to technical feasibility, complexity, and level of effort required to deliver a solution
    • Work closely with other team members to further develop metrics, KPIs, and insights that measure business performance improvements
    • Assist in the development and delivery of pre and post sales POCs (proof of concept), presentations and proposals for client engagements
    • Analytical curiosity, strong data-oriented skills, and a statistical programming background

    Education:

    • Bachelor's degree in mathematics, business, statistics, economics, computer science or information systems (or equivalent combination of skill and experience)

    Build your career with us:

    As digital transformation continues to accelerate, CGI is at the center of this change—supporting our clients’ digital journeys and offering our professionals exciting career opportunities.

    At CGI, our success comes from the talent and commitment of our professionals. As one team, we share the challenges and rewards that come from growing our company, which reinforces our culture of ownership. All of our professionals benefit from the value we collectively create.

    Be part of building one of the largest independent technology and business services firms in the world.

    Learn more about CGI at www.cgi.com.

    No unsolicited agency referrals please.

    CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodations for people with disabilities in accordance with provincial legislation. Please let us know if you require a reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

    Required Qualifications To Be Successful In This Role

    • Experience doing data analysis, reporting and advanced analytical modeling
    • Hands on experience in deploying reporting and analytical solutions to on premise and cloud-based infrastructure
    • Hands-on experience writing complex SQL queries and working with relational databases such as Oracle, DB2, SQL Server, etc.
    • Hands-on experience with data reporting and visualization tools like Power BI, Tableau, Qlik…etc.
    • Experience with modern software development techniques and methodologies: DevSecOps, Agile, etc.
    • Knowledge and practice of secure software development processes

    Attributes:

    • Up to date with the latest technology trends and have a strong desire to constantly learn
    • Highly detailed-oriented with exceptional organizational and follow-through skills
    • Self-starter and able to execute without a lot of direction or oversight - demonstrable problem-solving skills
    • Value teamwork and urgency, with a passion for driving impact
    • Ability to handle multiple priorities and deadlines
    • Exceptional communication skills, with an ability to make technical concepts accessible and understandable to non-technical business users

    Together, as owners, let’s turn meaningful insights into action.

    Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

    You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

    Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

    You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

    At CGI, we recognize the richness that diversity brings. We strive to create a work culture where all belong and collaborate with clients in building more inclusive communities. As an equal-opportunity employer, we want to empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist.

    Come join our team—one of the largest IT and business consulting services firms in the world.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-24,[] +4006662357,https://ca.linkedin.com/jobs/view/data-science-analyst-risk-at-ebay-4006662357?position=52&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=ace7BhCRsEvmShxinlzWnw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Analyst - Risk,eBay,"Toronto, Ontario, Canada","At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. + +Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. + +Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. + + +Must Reside in Ontario *** +Hybrid schedule, 1-2 days a week in office at Toronto Site *** + + + +About The Team And Role + +We are looking to hire a Data Scientist to partner with eBay's Risk teams. As a critical member of the Product Analytics and Insights team, this individual will have the unique opportunity to influence decision making and roadmaps, directly impacting what customers experience on our platform and help making eBay a more trustworthy marketplace for our buyers and sellers. With a vision to find opportunities to drive transformative change in the customer experience and significant business growth, we mine the largest datasets in the world of e-Commerce and use best in class analytics and big data techniques to extract impactful insights. We achieve this by working closely with Product, Engineering and Business teams; and identify new opportunities that can be added to the product roadmaps. + +What You Will Accomplish + + +Work with large and complex data sets to solve a wide array of challenging problems demonstrating different analytical and statistical approaches. +Work with cross-functional partners to Influence product strategy and investment decisions with data driven insights and recommendations, be focused on impact and collaborate with other teams. +Use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to our customers and our business. +Help develop strategy and support leadership in prioritizing what to build and setting goals for execution. +Build thought partnership with product leadership to drive data-driven decisions. + + + +What You Will Bring + + +BS/BA degree in Statistics, Applied Econometrics, Math, Physics, Computer Science, other related Core Sciences or equivalent. +2+ years relevant professional experience or Master’s degree and 1+ yr. +Excellent SQL skills. Experience with other programming/scripting languages (Python, R, Julia etc.) to extract/manipulate data. +Intellectual curiosity and ability to balance attention to detail and big picture vision. +Willingness to get out of your comfort zone, continuously learn about new business functions, datasets, and tools. + + + +Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. + +eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. + +Jobs posted with location as ""Remote - United States (Excludes: HI, NM)"" excludes residents of Hawaii and New Mexico. + +This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. + + +Show more ","
    + + + + + +
    +
    + At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

    Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

    Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

    • Must Reside in Ontario ***
    • Hybrid schedule, 1-2 days a week in office at Toronto Site ***


    About The Team And Role

    We are looking to hire a Data Scientist to partner with eBay's Risk teams. As a critical member of the Product Analytics and Insights team, this individual will have the unique opportunity to influence decision making and roadmaps, directly impacting what customers experience on our platform and help making eBay a more trustworthy marketplace for our buyers and sellers. With a vision to find opportunities to drive transformative change in the customer experience and significant business growth, we mine the largest datasets in the world of e-Commerce and use best in class analytics and big data techniques to extract impactful insights. We achieve this by working closely with Product, Engineering and Business teams; and identify new opportunities that can be added to the product roadmaps.

    What You Will Accomplish

    • Work with large and complex data sets to solve a wide array of challenging problems demonstrating different analytical and statistical approaches.
    • Work with cross-functional partners to Influence product strategy and investment decisions with data driven insights and recommendations, be focused on impact and collaborate with other teams.
    • Use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to our customers and our business.
    • Help develop strategy and support leadership in prioritizing what to build and setting goals for execution.
    • Build thought partnership with product leadership to drive data-driven decisions.


    What You Will Bring

    • BS/BA degree in Statistics, Applied Econometrics, Math, Physics, Computer Science, other related Core Sciences or equivalent.
    • 2+ years relevant professional experience or Master’s degree and 1+ yr.
    • Excellent SQL skills. Experience with other programming/scripting languages (Python, R, Julia etc.) to extract/manipulate data.
    • Intellectual curiosity and ability to balance attention to detail and big picture vision.
    • Willingness to get out of your comfort zone, continuously learn about new business functions, datasets, and tools.


    Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

    eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

    Jobs posted with location as ""Remote - United States (Excludes: HI, NM)"" excludes residents of Hawaii and New Mexico.

    This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-24,[] +4000239374,https://ca.linkedin.com/jobs/view/data-analyst-at-cpa-ontario-4000239374?position=55&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=S2gk4jEKVmXGvTtHsvZMTQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,CPA Ontario,"Greater Toronto Area, Canada","Bring your Knowledge of Power BI and Data Analysis + +To our Information Technology Team + + + + +CPA Ontario is currently in search of a Data Analyst who will be responsible for extracting, analyzing, and interpreting financial data from various sources to support strategic decision-making and operational initiatives. As part of our Enterprise Architecture team, you will work closely with other cross-functional departments including IT, Finance and Operations, collaborating with business stakeholders to provide actionable insights and recommendations. As a Data Analyst you will be accountable for understanding data needs, working to design and develop reports and dashboards, and conducting thorough data analysis to identify trends, patterns, and opportunities for improvement. + + + + +What You’ll Be Doing: + +Working collaboratively with business stakeholders within IT, Business Intelligence and Finance departments and other operational teams to understand business requirements and translate them into data-driven solutions. + + + + +Extracting, cleaning, and manipulating large datasets from multiple sources including financial databases, CRM systems, ERP systems, and spreadsheets. + + + + +Performing analysis of data to identify trends, anomalies, and opportunities for improvement. + + + + +Designing and developing reports, dashboards, and data visualizations to present findings in a clear and concise manner. + + + + +Preparing regular and ad-hoc reports and dashboards to communicate findings to stakeholders. + + + + +Conducting variance analysis and performance reporting to support budgeting and forecasting processes. + + + + +Assisting in the design and implementation of data collection systems and strategies to optimize efficiency and data quality. + + + + +Administering, monitoring, supporting and maintaining SQL servers in our environment. + + + + +Staying current in industry trends and best practices in data analysis and modeling. + + + + +Who You Are: + +A post-secondary graduate preferably in information systems, information technology, computer science, or related field. + + + + +Experienced in working with databases and ERP systems with a minimum of 3 years’ experience in a Data Analyst role. + + + + +Proficient in SQL, Microsoft Excel and data processing tools and software – in particular Power BI. + + + + +Proficient in Microsoft Dynamics 365 and SharePoint. Experience with Salesforce or other CRM considered an asset. + + + + +Highly organized and able to manage projects and timelines within tight deadlines in a fast-paced environment. + + + + +Able to work efficiently and effectively as a team member, as well as independently. + + + + +An excellent communicator with the ability to convey ideas succinctly and conveying complex findings and insights to technical and non-technical stakeholders with ease. + + + + +A self-starter with excellent problem-solving skills and the ability to think analytically about solutions. + + + + +Committed to ongoing training and a desire to learn new skills and continually expand upon knowledge and expertise. + + + + +What We Offer: + +A fast-paced environment. Collaboration, innovation and passionate professionals are at our core. We relentlessly pursue what’s next to unlock the full potential of you and us together. + + + + +Flexible work environments. As part of our Hybrid work culture, we provide flexible, remote work options to support you in your career, in addition to in-office teamwork and collaboration. + + + + +Diversity and inclusion. We recognize the value in our differences and prioritize inclusivity to bring together the best talent to protect the public, advance the profession and enable CPAs to lead business and society forward. + + + + +Ongoing learning and career growth. We want your career to skyrocket. We support career advancement and professional development opportunities with learning investments to promote your future growth. Thrive with us. + + + + +Focus on your well-being. With industry leading benefits and wellness programs, including a healthy lifestyle allowance, mental health resources and more, we’re committed to your well-being. + + + + +Who We Are: + +We protect the public. We advance the profession. We enable CPAs to lead business and society forward. We ensure that our 103,000 members and 18,000 students meet the highest standards of integrity and expertise. We help them stay ahead of global market trends and abreast of regulatory change. CPAs represent a globally recognized, premium designation. Our Chartered Professional Accountants are valued by organizations in all industries for their financial expertise, strategic thinking, management skills and leadership. We believe that success happens when both business and society benefit. For information on the profession visit: cpaontario.ca. + + + + +We Appreciate Your Interest In CPA Ontario And This Position: + +At CPA Ontario, we are committed to building high-performance teams. Our selection process is thorough, and all candidate applications are reviewed. Should your qualifications and experience meet the requirements of this role, a member of our recruitment team will contact you. We encourage you to set up CPA Ontario job alerts for positions that align to your experience and career goals. + + + + +CPA Ontario is an inclusive employer. Accommodation is available under the Ontario Human Rights Code. If you require a disability-related accommodation to participate in the recruitment process, please email accessibility@cpaontario.ca with “Accommodation Required” in the subject line to provide your contact information. A member of the Recruitment team will contact you within 48 hours. + +Show more ","
    + + + + + +
    +
    +

    Bring your Knowledge of Power BI and Data Analysis

    To our Information Technology Team


    CPA Ontario is currently in search of a Data Analyst who will be responsible for extracting, analyzing, and interpreting financial data from various sources to support strategic decision-making and operational initiatives. As part of our Enterprise Architecture team, you will work closely with other cross-functional departments including IT, Finance and Operations, collaborating with business stakeholders to provide actionable insights and recommendations. As a Data Analyst you will be accountable for understanding data needs, working to design and develop reports and dashboards, and conducting thorough data analysis to identify trends, patterns, and opportunities for improvement.


    What You’ll Be Doing:

    Working collaboratively with business stakeholders within IT, Business Intelligence and Finance departments and other operational teams to understand business requirements and translate them into data-driven solutions.


    Extracting, cleaning, and manipulating large datasets from multiple sources including financial databases, CRM systems, ERP systems, and spreadsheets.


    Performing analysis of data to identify trends, anomalies, and opportunities for improvement.


    Designing and developing reports, dashboards, and data visualizations to present findings in a clear and concise manner.


    Preparing regular and ad-hoc reports and dashboards to communicate findings to stakeholders.


    Conducting variance analysis and performance reporting to support budgeting and forecasting processes.


    Assisting in the design and implementation of data collection systems and strategies to optimize efficiency and data quality.


    Administering, monitoring, supporting and maintaining SQL servers in our environment.


    Staying current in industry trends and best practices in data analysis and modeling.


    Who You Are:

    A post-secondary graduate preferably in information systems, information technology, computer science, or related field.


    Experienced in working with databases and ERP systems with a minimum of 3 years’ experience in a Data Analyst role.


    Proficient in SQL, Microsoft Excel and data processing tools and software – in particular Power BI.


    Proficient in Microsoft Dynamics 365 and SharePoint. Experience with Salesforce or other CRM considered an asset.


    Highly organized and able to manage projects and timelines within tight deadlines in a fast-paced environment.


    Able to work efficiently and effectively as a team member, as well as independently.


    An excellent communicator with the ability to convey ideas succinctly and conveying complex findings and insights to technical and non-technical stakeholders with ease.


    A self-starter with excellent problem-solving skills and the ability to think analytically about solutions.


    Committed to ongoing training and a desire to learn new skills and continually expand upon knowledge and expertise.


    What We Offer:

    A fast-paced environment. Collaboration, innovation and passionate professionals are at our core. We relentlessly pursue what’s next to unlock the full potential of you and us together.


    Flexible work environments. As part of our Hybrid work culture, we provide flexible, remote work options to support you in your career, in addition to in-office teamwork and collaboration.


    Diversity and inclusion. We recognize the value in our differences and prioritize inclusivity to bring together the best talent to protect the public, advance the profession and enable CPAs to lead business and society forward.


    Ongoing learning and career growth. We want your career to skyrocket. We support career advancement and professional development opportunities with learning investments to promote your future growth. Thrive with us.


    Focus on your well-being. With industry leading benefits and wellness programs, including a healthy lifestyle allowance, mental health resources and more, we’re committed to your well-being.


    Who We Are:

    We protect the public. We advance the profession. We enable CPAs to lead business and society forward. We ensure that our 103,000 members and 18,000 students meet the highest standards of integrity and expertise. We help them stay ahead of global market trends and abreast of regulatory change. CPAs represent a globally recognized, premium designation. Our Chartered Professional Accountants are valued by organizations in all industries for their financial expertise, strategic thinking, management skills and leadership. We believe that success happens when both business and society benefit. For information on the profession visit: cpaontario.ca.


    We Appreciate Your Interest In CPA Ontario And This Position:

    At CPA Ontario, we are committed to building high-performance teams. Our selection process is thorough, and all candidate applications are reviewed. Should your qualifications and experience meet the requirements of this role, a member of our recruitment team will contact you. We encourage you to set up CPA Ontario job alerts for positions that align to your experience and career goals.


    CPA Ontario is an inclusive employer. Accommodation is available under the Ontario Human Rights Code. If you require a disability-related accommodation to participate in the recruitment process, please email accessibility@cpaontario.ca with “Accommodation Required” in the subject line to provide your contact information. A member of the Recruitment team will contact you within 48 hours.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +4004949781,https://ca.linkedin.com/jobs/view/data-analyst-hybrid-at-questrade-financial-group-4004949781?position=56&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=TMwWlYNQCkUarRHr5g2S2w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (hybrid),Questrade Financial Group,"North York, Ontario, Canada","Questrade Financial Group (QFG) of Companies is committed to helping our customers become much more financially successful and secure. + +We are everything a traditional financial institution is not. At QFG, you will be constantly moving forward, bringing the future of fintech into existence. You will be a part of a collaborative team that cares deeply about our mission and each other. Your team members will help you conquer challenges, push boundaries and discover what you are truly capable of. + +This is a place where you can explore, discover and learn with continuous growth. As a diverse and inclusive place to work, there are flexible working arrangements so you can unleash your creativity and curiosity with no limits. If you share the same sense of infinite possibility, come shape your future at Questrade. + +What’s in it for you as an employee of QFG? + + +Health & wellbeing resources and programs +Paid vacation, personal, and sick days for work-life balance +Competitive compensation and benefits packages +Hybrid and flexible work arrangements +Career growth and development opportunities +Opportunities to contribute to community causes +Work with diverse team members in an inclusive and collaborative environment + + + +We’re looking for our next Data Analyst . Could it Be You? + +The primary role of the Data Analyst is to serve as the backbone of our data-driven decision-making process, enabling the organization to leverage data effectively for strategic planning and operational improvements. + +What’s it like working as a Data Analyst at Questrade? + +The Data Analyst will be responsible for collecting, organizing, and transforming data into clear and concise reports and visualizations. They will also be responsible for improving operational efficiencies through automation. + +Need more details? Keep reading... + +In this role, responsibilities include but are not limited to: + + +Participating in and contributing to all Agile Scrum ceremonies +Gathering and documenting requirements from stakeholders +Collecting and analyzing complex data sets using advanced analytical techniques and tools such as Power BI +Generating clear and concise reports to stakeholder specifications +Creating dashboards and visualizations in order to allow management to make business decisions or allow stakeholders to complete day to day operations +Collaborating with stakeholders to understand requirements to improve accuracy and implement process automation +Assisting in finding solutions to existing day to day reporting and processes by automating manual processes or enhancing data validation +Staying current with industry trends and best practices in coding, data analysis, automation, and visualization +Collaborating with other Questrade departments on special projects +Performing other duties as assigned + + + +So are YOU our next Data Analyst? You are if you… + + +Hold a Degree or Diploma in business or finance or have equivalent experience +Have 2+ years of Data analytics or computer programming experience +Have experience with G-Suite, especially Google Sheets +Are proficient in the programming languages SQL, Apps Script and Python +Have experience with data visualization and building interactive dashboards in Power BI +Have strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders +Have excellent analytical and problem-solving skills, with a keen attention to detail +Can work independently and manage multiple priorities in a dynamic environment + + + +Additional Kudos If You Have… + + +Brokerage experience, preferably in Customer service, Operations, or IT related discipline +Working knowledge of the financial industry +Experience using Broadridge BPS + + + +Sounds like you? Click below to apply! + +At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. Our team reflects the diversity of the communities we serve and operate in. Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence—not only for the benefit of our customers, but for those who build their career with us. + +Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs. + +Apply Now + + +Show more ","
    + + + + + +
    +
    + Questrade Financial Group (QFG) of Companies is committed to helping our customers become much more financially successful and secure.

    We are everything a traditional financial institution is not. At QFG, you will be constantly moving forward, bringing the future of fintech into existence. You will be a part of a collaborative team that cares deeply about our mission and each other. Your team members will help you conquer challenges, push boundaries and discover what you are truly capable of.

    This is a place where you can explore, discover and learn with continuous growth. As a diverse and inclusive place to work, there are flexible working arrangements so you can unleash your creativity and curiosity with no limits. If you share the same sense of infinite possibility, come shape your future at Questrade.

    What’s in it for you as an employee of QFG?

    • Health & wellbeing resources and programs
    • Paid vacation, personal, and sick days for work-life balance
    • Competitive compensation and benefits packages
    • Hybrid and flexible work arrangements
    • Career growth and development opportunities
    • Opportunities to contribute to community causes
    • Work with diverse team members in an inclusive and collaborative environment


    We’re looking for our next Data Analyst . Could it Be You?

    The primary role of the Data Analyst is to serve as the backbone of our data-driven decision-making process, enabling the organization to leverage data effectively for strategic planning and operational improvements.

    What’s it like working as a Data Analyst at Questrade?

    The Data Analyst will be responsible for collecting, organizing, and transforming data into clear and concise reports and visualizations. They will also be responsible for improving operational efficiencies through automation.

    Need more details? Keep reading...

    In this role, responsibilities include but are not limited to:

    • Participating in and contributing to all Agile Scrum ceremonies
    • Gathering and documenting requirements from stakeholders
    • Collecting and analyzing complex data sets using advanced analytical techniques and tools such as Power BI
    • Generating clear and concise reports to stakeholder specifications
    • Creating dashboards and visualizations in order to allow management to make business decisions or allow stakeholders to complete day to day operations
    • Collaborating with stakeholders to understand requirements to improve accuracy and implement process automation
    • Assisting in finding solutions to existing day to day reporting and processes by automating manual processes or enhancing data validation
    • Staying current with industry trends and best practices in coding, data analysis, automation, and visualization
    • Collaborating with other Questrade departments on special projects
    • Performing other duties as assigned


    So are YOU our next Data Analyst? You are if you…

    • Hold a Degree or Diploma in business or finance or have equivalent experience
    • Have 2+ years of Data analytics or computer programming experience
    • Have experience with G-Suite, especially Google Sheets
    • Are proficient in the programming languages SQL, Apps Script and Python
    • Have experience with data visualization and building interactive dashboards in Power BI
    • Have strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders
    • Have excellent analytical and problem-solving skills, with a keen attention to detail
    • Can work independently and manage multiple priorities in a dynamic environment


    Additional Kudos If You Have…

    • Brokerage experience, preferably in Customer service, Operations, or IT related discipline
    • Working knowledge of the financial industry
    • Experience using Broadridge BPS


    Sounds like you? Click below to apply!

    At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. Our team reflects the diversity of the communities we serve and operate in. Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence—not only for the benefit of our customers, but for those who build their career with us.

    Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs.

    Apply Now

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4005680163,https://ca.linkedin.com/jobs/view/data-analyst-at-co-operators-4005680163?position=57&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=xlJiiyjR6X65CTaTg%2BMQIw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Co-operators,"Mississauga, Ontario, Canada","Company: CGL + +Department: IT + +Employment Type: Regular Full-Time + +Work Model: Hybrid + +Language: This role operates in English. + +The Opportunity + +We are a leading Canadian financial services Co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities. + +Our Information Technology team aspires to be a leader in applying technology to power business strategies. We connect concepts with solutions to create value and efficiencies for our clients, employees, and communities. Our success is driven by our skilled and diverse team + +As the Data Analyst, you will design and implement the data related-elements of technology solutions, including data models, physical database designs, and meta-data management. You will analyze abstract, complex problems and effectively communicate with the business and Information Technology (IT) regarding data design, usage, and management to provide project and operations support. You will focus on business intelligence solutions and provide input into the strategic elements of an overall Enterprise Data Management (EDM) strategy. + +How You Will Create Impact + + +Building logical and physical data models and collaborating with business partners to meet data requirements. +Validating data flow through implemented data models from source to target and ensuring all data requirements are delivered. +Performing root cause analysis to determine cause of data defects and recommending solutions for resolution. +Collaborating with the Senior Manager to create, maintain, and manage meta-data for an entity. +Capturing and documenting business definitions and terms using the appropriate tools and methods. +Contributing to the development and maintenance of the enterprise architecture for information and data, and EDM strategy. + + + +How You Will Succeed + + +You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.   +You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions. +You have strong communication skills to clearly convey messages and explore diverse points of view.  +You build trusting relationships and provide guidance to support the development of colleagues. + + + +To Join Our Team + + +You have three years of experience working in database systems or a related field, and have significant experience in complex relational data modeling, database design, database platforms, and modeling tools. +You have a post-secondary degree in Commerce, Information Technology or Computer Science. +You have working knowledge of Extract, Transform and Loading (ETL) processes, as well as data warehouse and data mart principles and best practices. +Having dimensional data modelling experience is an asset. +Data visualization is an asset. + + + +What You Need To Know + + +You will be subject to a Background check as a condition of employment, in the event you are the successful candidate. + + + +What’s in it for you? + + +Training and development opportunities to grow your career. +Flexible work options and paid time off to support your personal and family needs. +A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture. +Paid volunteer days to give back to your community. +In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program. +Show more ","
    + + + + + +
    +
    + Company: CGL

    Department: IT

    Employment Type: Regular Full-Time

    Work Model: Hybrid

    Language: This role operates in English.

    The Opportunity

    We are a leading Canadian financial services Co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities.

    Our Information Technology team aspires to be a leader in applying technology to power business strategies. We connect concepts with solutions to create value and efficiencies for our clients, employees, and communities. Our success is driven by our skilled and diverse team

    As the Data Analyst, you will design and implement the data related-elements of technology solutions, including data models, physical database designs, and meta-data management. You will analyze abstract, complex problems and effectively communicate with the business and Information Technology (IT) regarding data design, usage, and management to provide project and operations support. You will focus on business intelligence solutions and provide input into the strategic elements of an overall Enterprise Data Management (EDM) strategy.

    How You Will Create Impact

    • Building logical and physical data models and collaborating with business partners to meet data requirements.
    • Validating data flow through implemented data models from source to target and ensuring all data requirements are delivered.
    • Performing root cause analysis to determine cause of data defects and recommending solutions for resolution.
    • Collaborating with the Senior Manager to create, maintain, and manage meta-data for an entity.
    • Capturing and documenting business definitions and terms using the appropriate tools and methods.
    • Contributing to the development and maintenance of the enterprise architecture for information and data, and EDM strategy.


    How You Will Succeed

    • You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.  
    • You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
    • You have strong communication skills to clearly convey messages and explore diverse points of view. 
    • You build trusting relationships and provide guidance to support the development of colleagues.


    To Join Our Team

    • You have three years of experience working in database systems or a related field, and have significant experience in complex relational data modeling, database design, database platforms, and modeling tools.
    • You have a post-secondary degree in Commerce, Information Technology or Computer Science.
    • You have working knowledge of Extract, Transform and Loading (ETL) processes, as well as data warehouse and data mart principles and best practices.
    • Having dimensional data modelling experience is an asset.
    • Data visualization is an asset.


    What You Need To Know

    • You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.


    What’s in it for you?

    • Training and development opportunities to grow your career.
    • Flexible work options and paid time off to support your personal and family needs.
    • A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
    • Paid volunteer days to give back to your community.
    • In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4004731100,https://ca.linkedin.com/jobs/view/data-analyst-at-407-etr-4004731100?position=58&pageNum=0&refId=oMVSzTHEGniun97qmuUNAw%3D%3D&trackingId=9up5rKjdRN7R1r8C7sZAvA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,407 ETR,"Woodbridge, Ontario, Canada","Position Summary + +This role focuses on financial data analysis and the development and maintenance of financial models to support decision-making and financial reporting. The position involves creating SQL queries for large-scale data extraction, building financial models in Excel, and automating operational reports and processes. Collaboration with various staff members and business units is essential to fulfill the role's responsibilities. + +Duties: + + +Assist the Senior Data Analyst in developing SQL queries to extract data from various data warehouses for use in financial models and ad-hoc reporting. +Support the Senior Manager of Finance in completing ad-hoc requests and audit requirements within tight timelines. +Maintaining financial models that are critical for understanding accounts receivable, revenue, cash receipts, and collections. +Develop, monitor, and maintain data warehouses, including updating, adding new data requirements, and ensuring data integrity. +Analyze and validate results from SQL query reports for reasonableness and reviewing of financial models for accuracy and consistencies. +Automate manual processes by leveraging scripting or programming languages to improve efficiency and accuracy. +Perform other duties as assigned. + + + +Qualifications: + + +Bachelor's Degree from an accredited college or university, preferably with a degree in business administration (finance and accounting), or a related field. +Minimum 2 years of experience in financial reporting or analytics role. +Intermediate proficiency in SQL, database systems and cloud platform is required, preferably on financial and customer data. Experience with SAP, SAS and Python is considered an asset. +Strong background in financial analysis, accounting cycle, and understanding business operations, qualitative, and quantitative results. +Solid working knowledge of MS applications including Access, Excel, Outlook, Word, and PowerPoint. +Experience with various software including Peoplesoft, Dbeaver, Tableau, Power BI, Salesforce and SAP is an asset. +Ability to work independently, great organizational and time management skills; planning and project management, and ability to meet multiple deadlines. +Outstanding interpersonal, collaboration, and written and verbal communication skills in a team setting to present results. +Commitment to personal growth and development. + + + +Note: This job description is not intended to be all-inclusive. The analyst may perform other related duties as negotiated to meet the ongoing needs of the organization. Accommodations for disabilities or other grounds protected by human rights legislation are available upon request for candidates taking part in all aspects of the consultant selection process. + +About 407 ETR + +Highway 407 ETR is an all-electronic open-access toll highway located in the Greater Toronto Area in Ontario, Canada. The highway spans 108 kilometres from Burlington in the west to Pickering in the east. + +407 International Inc. is the sole shareholder of 407 ETR and is owned by: + + +Canada Pension Plan Investment Board (CPP Investments) through indirectly-owned subsidiaries (50.01%); +Cintra Global S.E. which is a wholly-owned subsidiary of Ferrovial S.A. (43.23%); and +AtkinsRéalis, formally known as SNC-Lavalin (6.76%). + + + +Learn more at 407etr.com. + +Note: At 407 ETR, we are committed to fostering a diverse, equitable, and inclusive work environment. We value the unique perspectives and backgrounds of all individuals, and we firmly believe that our individual differences make us stronger as a whole. + +Our commitment to inclusion extends beyond recruitment and encompasses an inclusive workplace culture through raising awareness, ongoing training, and encouraging feedback. We aim to create a safe and supportive environment where all employees can thrive. + +Accommodation for disabilities or other grounds protected by human rights legislation are available upon request for candidates taking part in all aspects of the employment selection process. + +Highway 407 ETR is located in the Greater Toronto Area in Ontario, Canada and spans 108 km from Burlington in the west to Pickering in the east. +Show more ","
    + + + + + +
    +
    + Position Summary

    This role focuses on financial data analysis and the development and maintenance of financial models to support decision-making and financial reporting. The position involves creating SQL queries for large-scale data extraction, building financial models in Excel, and automating operational reports and processes. Collaboration with various staff members and business units is essential to fulfill the role's responsibilities.

    Duties:

    • Assist the Senior Data Analyst in developing SQL queries to extract data from various data warehouses for use in financial models and ad-hoc reporting.
    • Support the Senior Manager of Finance in completing ad-hoc requests and audit requirements within tight timelines.
    • Maintaining financial models that are critical for understanding accounts receivable, revenue, cash receipts, and collections.
    • Develop, monitor, and maintain data warehouses, including updating, adding new data requirements, and ensuring data integrity.
    • Analyze and validate results from SQL query reports for reasonableness and reviewing of financial models for accuracy and consistencies.
    • Automate manual processes by leveraging scripting or programming languages to improve efficiency and accuracy.
    • Perform other duties as assigned.


    Qualifications:

    • Bachelor's Degree from an accredited college or university, preferably with a degree in business administration (finance and accounting), or a related field.
    • Minimum 2 years of experience in financial reporting or analytics role.
    • Intermediate proficiency in SQL, database systems and cloud platform is required, preferably on financial and customer data. Experience with SAP, SAS and Python is considered an asset.
    • Strong background in financial analysis, accounting cycle, and understanding business operations, qualitative, and quantitative results.
    • Solid working knowledge of MS applications including Access, Excel, Outlook, Word, and PowerPoint.
    • Experience with various software including Peoplesoft, Dbeaver, Tableau, Power BI, Salesforce and SAP is an asset.
    • Ability to work independently, great organizational and time management skills; planning and project management, and ability to meet multiple deadlines.
    • Outstanding interpersonal, collaboration, and written and verbal communication skills in a team setting to present results.
    • Commitment to personal growth and development.


    Note: This job description is not intended to be all-inclusive. The analyst may perform other related duties as negotiated to meet the ongoing needs of the organization. Accommodations for disabilities or other grounds protected by human rights legislation are available upon request for candidates taking part in all aspects of the consultant selection process.

    About 407 ETR

    Highway 407 ETR is an all-electronic open-access toll highway located in the Greater Toronto Area in Ontario, Canada. The highway spans 108 kilometres from Burlington in the west to Pickering in the east.

    407 International Inc. is the sole shareholder of 407 ETR and is owned by:

    • Canada Pension Plan Investment Board (CPP Investments) through indirectly-owned subsidiaries (50.01%);
    • Cintra Global S.E. which is a wholly-owned subsidiary of Ferrovial S.A. (43.23%); and
    • AtkinsRéalis, formally known as SNC-Lavalin (6.76%).


    Learn more at 407etr.com.

    Note: At 407 ETR, we are committed to fostering a diverse, equitable, and inclusive work environment. We value the unique perspectives and backgrounds of all individuals, and we firmly believe that our individual differences make us stronger as a whole.

    Our commitment to inclusion extends beyond recruitment and encompasses an inclusive workplace culture through raising awareness, ongoing training, and encouraging feedback. We aim to create a safe and supportive environment where all employees can thrive.

    Accommodation for disabilities or other grounds protected by human rights legislation are available upon request for candidates taking part in all aspects of the employment selection process.

    Highway 407 ETR is located in the Greater Toronto Area in Ontario, Canada and spans 108 km from Burlington in the west to Pickering in the east. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4007879619,https://ca.linkedin.com/jobs/view/data-analyst-powerbi-at-searchlabs-4007879619?position=1&pageNum=2&refId=VZXBAJPE5t9LNW2XIOpLQw%3D%3D&trackingId=m977EI1NNHpI0qtjGWYgGQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - PowerBI,SearchLabs,"Toronto, Ontario, Canada","Role: Data Analyst - PowerBI + +Type: Full-time + +Location: Toronto + +Environment: Hybrid - 1 day per week in office + +Overview: We are seeking a skilled Data Analyst to join our team, specializing in developing PowerBI dashboards integrated into SharePoint. The ideal candidate will possess a solid background in database queries/management, Python, and data visualization using PowerBI. This role will focus on creating insightful and interactive dashboards to facilitate data-driven decision-making across the organization. Additionally, the candidate will be responsible for integrating these dashboards seamlessly into SharePoint and providing training to staff members on how to effectively utilize them. + +Responsibilities: + + +Develop and maintain PowerBI dashboards to visualize data from various databases and sources. +Collaborate with stakeholders to understand business requirements and translate them into actionable insights through data visualization. +Utilize Python programming to clean, manipulate, and analyze large datasets for dashboard creation. +Integrate PowerBI dashboards into SharePoint, ensuring a seamless user experience and accessibility for all stakeholders. +Train and support staff members on how to use PowerBI dashboards effectively for data analysis and decision-making. +Continuously monitor and optimize dashboard performance, ensuring accuracy, reliability, and responsiveness. +Stay updated on industry trends and best practices in data visualization, PowerBI, SharePoint integration, and database management. + + +Requirements + +Qualifications: + + +Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Master's degree preferred. +Proven experience 4+ years developing PowerBI dashboards and reports. +Strong proficiency in database queries/management. +Proficiency in Python programming for data manipulation and analysis. +Experience integrating PowerBI dashboards into SharePoint +Experience with organizing Sharepoint records and optimizing search capabilities +Excellent communication and collaboration skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders. +Strong problem-solving abilities and attention to detail. +Ability to work independently and as part of a team in a fast-paced environment. + + +Preferred Skills: + + +Experience with other data visualization tools +Familiarity with data warehousing concepts and techniques. +Knowledge of SharePoint administration and customization. +Certification in PowerBI or related technologies. + + +Benefits + + +Competitive salary, benefits and pension package. +4 weeks vacation +Opportunity to work in a dynamic and collaborative environment. +Professional development and training opportunities. +Potential for career growth and advancement within the organization. +Show more ","
    + + + + + +
    +
    + Role: Data Analyst - PowerBI

    Type: Full-time

    Location: Toronto

    Environment: Hybrid - 1 day per week in office

    Overview: We are seeking a skilled Data Analyst to join our team, specializing in developing PowerBI dashboards integrated into SharePoint. The ideal candidate will possess a solid background in database queries/management, Python, and data visualization using PowerBI. This role will focus on creating insightful and interactive dashboards to facilitate data-driven decision-making across the organization. Additionally, the candidate will be responsible for integrating these dashboards seamlessly into SharePoint and providing training to staff members on how to effectively utilize them.

    Responsibilities:

    • Develop and maintain PowerBI dashboards to visualize data from various databases and sources.
    • Collaborate with stakeholders to understand business requirements and translate them into actionable insights through data visualization.
    • Utilize Python programming to clean, manipulate, and analyze large datasets for dashboard creation.
    • Integrate PowerBI dashboards into SharePoint, ensuring a seamless user experience and accessibility for all stakeholders.
    • Train and support staff members on how to use PowerBI dashboards effectively for data analysis and decision-making.
    • Continuously monitor and optimize dashboard performance, ensuring accuracy, reliability, and responsiveness.
    • Stay updated on industry trends and best practices in data visualization, PowerBI, SharePoint integration, and database management.

    Requirements

    Qualifications:

    • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Master's degree preferred.
    • Proven experience 4+ years developing PowerBI dashboards and reports.
    • Strong proficiency in database queries/management.
    • Proficiency in Python programming for data manipulation and analysis.
    • Experience integrating PowerBI dashboards into SharePoint
    • Experience with organizing Sharepoint records and optimizing search capabilities
    • Excellent communication and collaboration skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.
    • Strong problem-solving abilities and attention to detail.
    • Ability to work independently and as part of a team in a fast-paced environment.

    Preferred Skills:

    • Experience with other data visualization tools
    • Familiarity with data warehousing concepts and techniques.
    • Knowledge of SharePoint administration and customization.
    • Certification in PowerBI or related technologies.

    Benefits

    • Competitive salary, benefits and pension package.
    • 4 weeks vacation
    • Opportunity to work in a dynamic and collaborative environment.
    • Professional development and training opportunities.
    • Potential for career growth and advancement within the organization.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4007877140,https://ca.linkedin.com/jobs/view/data-analyst-intern-winter-2025-at-capital-one-4007877140?position=2&pageNum=2&refId=VZXBAJPE5t9LNW2XIOpLQw%3D%3D&trackingId=Fkpc1R3bGNi6jq%2B1YB1ZKA%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Analyst, Intern (Winter 2025)",Capital One,"Toronto, Ontario, Canada","161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Data Analyst, Intern (Winter 2025) + +Data Analyst Co-op + +Our Capital One Data Analysis Team. + +Yes, we’re a credit card company. But we’re more than that too. We’re driven by what our customers want, and how to make their lives simpler. + +We’re always looking for creative ways to offer digital solutions that make sense for our customers. With your help, we’ll build the next generation of banking in Canada based on customer-focused values, compelling products and great engineering. + +Working with us + +How do we do things at Capital One Canada? We listen — to our people, and to our customers. We change with the times and have adopted a flexible hybrid model (remote and/or in-office). A flexible hybrid working model is one that creates the opportunity to match the work that we do to the environment that best supports that work. Associates working in the hybrid model are expected to come into the office 3 days a week across Tuesdays and Thursdays, reserving Mondays and Fridays as company-wide virtual days. As was true before the pandemic, expectations of being in the office will be balanced with personal life flexibility. We recognize that everyone has a unique working pattern so we’re open to discussing flexible working arrangements that will best accommodate you. + +At Capital One we’re committed to diversity, inclusion and belonging . We strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and inclusive behaviours are embedded in everything we do to positively impact associates. Strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and to help challenge the status quo and create the best outcomes for everyone. + +Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations. + +A day in the life of a Capital One Data Analyst Co-op. + +As a Data Analyst co-op, you will work with cross-functional teams to identify, design and develop tools that address challenges in our business processes. As a creative problem-solver, you will be challenged to consider multiple options and select the optimal solution to meet the needs of your customers. You will own the recommendation and resolution to an existing business problem and will be involved end to end, from problem identification to solution deployment. + +Responsibilities: + + +Build, automate, and maintain critical business reporting using cutting edge tools +Design and develop data solutions that provide seamless execution of business intent +Consult on and influence design of critical business processes and controls +Create, enhance and maintain well managed critical data processes that meet regulatory requirements +Enable delivery of business ideas from concept to implementation +Identify data process improvements and deliver on them +Perform ad hoc analytics on large/diverse datasets + + +The ideal candidate will be: + + +Curious: You ask why, you explore, and you're not afraid to blurt out your disruptive idea. You know SQL and are constantly exploring new open source tools, and hitting up stack overflow on a regular basis. +A Wrangler: You can quickly learn to programmatically extract data from a database or an API, bring it through a transformation or two, and convert into a human-readable form (Matplotlib, Quicksight, Tableau, etc.). +Creative: Big, undefined problems and petabytes of data don't frighten you. You're keen to work with abstract data, and you love discovering new narratives in unmined territories. + + +Basic qualifications: + + +Will obtain or have obtained a Bachelor’s degree or higher between January 2025 and June 2026 + + +Preferred Qualifications : + + +Pursuing a Bachelor's degree in Computer Science, Engineering, or another quantitative discipline with a strong programming background +Familiarity with SQL. Python experience would also be an asset +Ability to shape and develop requirements into practical solutions +Ability to clearly explain technical terms to a non-technical audience +Experience in a Unix/Linux environment +Excellent verbal and written communication skills +Previous coop experience + + +About Capital One Canada + +We've been helping millions of Canadians for over 20 years by providing them with access to credit when others wouldn’t. We're on a journey to put our customers first, and keep them there, by building modern technology solutions to simplify and humanize the world of credit cards. We have the positive energy of a startup, with the advantages of a big company. + +MUST INCLUDE YOUR COVER LETTER, RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY. + +We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process. + +Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations. + +If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. + +For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com + +Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. + +Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). +Show more ","
    + + + + + +
    +
    + 161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Data Analyst, Intern (Winter 2025)

    Data Analyst Co-op

    Our Capital One Data Analysis Team.

    Yes, we’re a credit card company. But we’re more than that too. We’re driven by what our customers want, and how to make their lives simpler.

    We’re always looking for creative ways to offer digital solutions that make sense for our customers. With your help, we’ll build the next generation of banking in Canada based on customer-focused values, compelling products and great engineering.

    Working with us

    How do we do things at Capital One Canada? We listen — to our people, and to our customers. We change with the times and have adopted a flexible hybrid model (remote and/or in-office). A flexible hybrid working model is one that creates the opportunity to match the work that we do to the environment that best supports that work. Associates working in the hybrid model are expected to come into the office 3 days a week across Tuesdays and Thursdays, reserving Mondays and Fridays as company-wide virtual days. As was true before the pandemic, expectations of being in the office will be balanced with personal life flexibility. We recognize that everyone has a unique working pattern so we’re open to discussing flexible working arrangements that will best accommodate you.

    At Capital One we’re committed to diversity, inclusion and belonging . We strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and inclusive behaviours are embedded in everything we do to positively impact associates. Strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and to help challenge the status quo and create the best outcomes for everyone.

    Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

    A day in the life of a Capital One Data Analyst Co-op.

    As a Data Analyst co-op, you will work with cross-functional teams to identify, design and develop tools that address challenges in our business processes. As a creative problem-solver, you will be challenged to consider multiple options and select the optimal solution to meet the needs of your customers. You will own the recommendation and resolution to an existing business problem and will be involved end to end, from problem identification to solution deployment.

    Responsibilities:

    • Build, automate, and maintain critical business reporting using cutting edge tools
    • Design and develop data solutions that provide seamless execution of business intent
    • Consult on and influence design of critical business processes and controls
    • Create, enhance and maintain well managed critical data processes that meet regulatory requirements
    • Enable delivery of business ideas from concept to implementation
    • Identify data process improvements and deliver on them
    • Perform ad hoc analytics on large/diverse datasets

    The ideal candidate will be:

    • Curious: You ask why, you explore, and you're not afraid to blurt out your disruptive idea. You know SQL and are constantly exploring new open source tools, and hitting up stack overflow on a regular basis.
    • A Wrangler: You can quickly learn to programmatically extract data from a database or an API, bring it through a transformation or two, and convert into a human-readable form (Matplotlib, Quicksight, Tableau, etc.).
    • Creative: Big, undefined problems and petabytes of data don't frighten you. You're keen to work with abstract data, and you love discovering new narratives in unmined territories.

    Basic qualifications:

    • Will obtain or have obtained a Bachelor’s degree or higher between January 2025 and June 2026

    Preferred Qualifications :

    • Pursuing a Bachelor's degree in Computer Science, Engineering, or another quantitative discipline with a strong programming background
    • Familiarity with SQL. Python experience would also be an asset
    • Ability to shape and develop requirements into practical solutions
    • Ability to clearly explain technical terms to a non-technical audience
    • Experience in a Unix/Linux environment
    • Excellent verbal and written communication skills
    • Previous coop experience

    About Capital One Canada

    We've been helping millions of Canadians for over 20 years by providing them with access to credit when others wouldn’t. We're on a journey to put our customers first, and keep them there, by building modern technology solutions to simplify and humanize the world of credit cards. We have the positive energy of a startup, with the advantages of a big company.

    MUST INCLUDE YOUR COVER LETTER, RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY.

    We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process.

    Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

    If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

    For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

    Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

    Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4007979187,https://ca.linkedin.com/jobs/view/data-analyst-100%25-remote-at-recruit-action-inc-4007979187?position=3&pageNum=2&refId=VZXBAJPE5t9LNW2XIOpLQw%3D%3D&trackingId=6Qosx8Y2yIyiAs8to7iSgw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - 100% Remote,Recruit Action inc.,"Toronto, Ontario, Canada","Data Analyst – Remote + +Our client, a key player in the insurance sector, is focused on advancing their data capabilities to stay ahead in the evolving retirement services landscape. They are looking for a Data Analyst to play a crucial role in optimizing data-driven strategies and enhancing reporting within their Group Retirement Services unit. + +What is in it for you: + + +Hourly salary of $42 to $50, based on experience. +9-month contract with the potential for permanent employment. +Full-time position: 37.50 hours per week. +Work schedule from 9:00 am to 5:00 pm. +Enjoy the flexibility of remote work. + + +Responsibilities: + + +Collaborate with stakeholders to understand business requirements and deliver suitable analytical solutions. +Enhance existing reports using modern tools and data practices. +Develop and implement continuous improvement solutions to automate, consolidate, or discontinue processes, focusing on business value and efficiency. +Build and maintain robust documentation for all analytical products. +Manage multiple data analytics and automation projects, ensuring they are completed on time and within budget. +Ensure compliance with privacy, confidentiality, data security, and company policies, including the SLF Code of Business Conduct and End User Computing requirements. + + +What you will need to succeed: + + +Undergraduate in Business, Statistics, Computer Science (or equivalent university degree or college diploma). +2-3 years of experience in a Data Analyst or Performance Analyst role. +Proficiency in Python, R, or SAS for developing analytical solutions. +Experience with visualization tools such as Tableau. +Advanced skills in Microsoft Word, PowerPoint, Excel, Access, and Visual Basic. +Proven ability to drive large and strategic projects from concept to implementation that span multiple systems and business processes. +Strong understanding of data management principles, best practices, and data governance. +Excellent communication skills to drive a data-driven culture and lead cross-functional initiatives. +Superior organizational skills, including process management to support workflow improvements. +Past experience in life insurance/wealth management, or other financial services industry is an asset (e.g., retail banking, credit card, property and casualty insurance). +Experience with AWS and automation of recurring reporting tasks is critical. + + +Why Recruit Action? + +Recruit Action (agency permit: AP-2000003) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted. + +# SLFJP00005142 + + +Show more ","
    + + + + + +
    +
    + Data Analyst – Remote

    Our client, a key player in the insurance sector, is focused on advancing their data capabilities to stay ahead in the evolving retirement services landscape. They are looking for a Data Analyst to play a crucial role in optimizing data-driven strategies and enhancing reporting within their Group Retirement Services unit.

    What is in it for you:

    • Hourly salary of $42 to $50, based on experience.
    • 9-month contract with the potential for permanent employment.
    • Full-time position: 37.50 hours per week.
    • Work schedule from 9:00 am to 5:00 pm.
    • Enjoy the flexibility of remote work.

    Responsibilities:

    • Collaborate with stakeholders to understand business requirements and deliver suitable analytical solutions.
    • Enhance existing reports using modern tools and data practices.
    • Develop and implement continuous improvement solutions to automate, consolidate, or discontinue processes, focusing on business value and efficiency.
    • Build and maintain robust documentation for all analytical products.
    • Manage multiple data analytics and automation projects, ensuring they are completed on time and within budget.
    • Ensure compliance with privacy, confidentiality, data security, and company policies, including the SLF Code of Business Conduct and End User Computing requirements.

    What you will need to succeed:

    • Undergraduate in Business, Statistics, Computer Science (or equivalent university degree or college diploma).
    • 2-3 years of experience in a Data Analyst or Performance Analyst role.
    • Proficiency in Python, R, or SAS for developing analytical solutions.
    • Experience with visualization tools such as Tableau.
    • Advanced skills in Microsoft Word, PowerPoint, Excel, Access, and Visual Basic.
    • Proven ability to drive large and strategic projects from concept to implementation that span multiple systems and business processes.
    • Strong understanding of data management principles, best practices, and data governance.
    • Excellent communication skills to drive a data-driven culture and lead cross-functional initiatives.
    • Superior organizational skills, including process management to support workflow improvements.
    • Past experience in life insurance/wealth management, or other financial services industry is an asset (e.g., retail banking, credit card, property and casualty insurance).
    • Experience with AWS and automation of recurring reporting tasks is critical.

    Why Recruit Action?

    Recruit Action (agency permit: AP-2000003) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted.

    # SLFJP00005142

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4007876197,https://ca.linkedin.com/jobs/view/data-analyst-with-python-and-etl-at-scotiabank-4007876197?position=4&pageNum=2&refId=VZXBAJPE5t9LNW2XIOpLQw%3D%3D&trackingId=ZTR0Y%2BXIsZbMlrRkgup87w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst with Python and ETL,Scotiabank,"Toronto, Ontario, Canada","Requisition ID: 205683 + +Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. + +The Team + +This position belongs to a highly skilled development team that develops and supports various applications in growing Global Regulatory & Controls Technology team. The team is responsible for providing specialized analysis, design, development, and support of cost effective, mission critical, on-line, risk management and decision support systems for business users within Scotiabank IT group. + +The Role + + +The incumbent will be responsible for supporting and building end-to-end technical solutions to support regulatory reporting of Scotia Capital Markets transactions. From root cause and business requirements analysis, aided by strong data and technical system analysis, to solutioning, development, testing, and release to production, the incumbent will ensure timely resolution of high priority Production Support tickets. +The incumbent will work closely with the broader project team, developers, scrum masters, regulatory stakeholders, trading systems, and downstream consumers to ensure high priority support tickets are resolved within SLAs with high quality. The incumbent will also be expected to develop application and business process subject matter expertise over the duration of the assignment. + + +Is this role right for you? + + +Work within a cross functional Agile team to analyse and troubleshoot technical issues and production support tickets and deliver solutions for the same. +Change request delivery – requirements gathering, design, implementation, and testing as part of new regulatory initiatives. +Support of advanced issue triage and ad-hoc data analysis and reporting +Work closely with business users and IT teams from multiple key trading systems in Canada, US, and Asia, in the design and prototyping of business solutions +Ad hoc inquiries from business stakeholders on G20 Regulatory Reporting logic (CFTC, SEC, CSA, MAS, HKMA, EMIR, UK, etc.), behaviour, and data requests +Keep current on rapidly changing technological trends, self-leaner on new technologies and maintain an understanding of the business and technology strategies. +Ability to look at a problem from both a business and technical angle. +Other projects and initiatives as required. + + +Do you have the skills that will enable you to succeed in this role? + + +Strong hands-on experience with data analysis and ETL (SQL, Python, Kafka, Jupyter, Java, XML, and JSON) +High levels of analytical, conceptual, problem solving and organizational skills +Excellent verbal and written communication skills +Attitude and willingness to learn fast, go above and beyond consistently and work independently without supervision. +Experience with Apache Kafka, Postman, ElasticSearch, Kubernetes, Airflow, and/or Linux +Ability to perform Java coding is a strong asset. +Knowledge of Capital Market products, front office trading, and back-office booking process globally. +Provide timely IT support to the enquiries from regulators in Canada and US and internal business stakeholders to meet critical timelines. +Excellent team building skills, working with diverse groups to resolve issues and identify efficiencies. +Ability to work in a project environment as required, with key deliverables and ensuring requirements of department are represented. +Strong ability to establish relationships with internal customers, as well as senior management. +A recognized degree in engineering, computer science, math, related discipline or experience + + +What's in it for you? + + +We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success! +We provide you with the tools and technology needed to create beautiful customer experiences +You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world +We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), generous vacation, personal & sick days, personal development funding, maternity leave top-up, parental leave and much more. + + +#Python + +#ETL + +Location(s): Canada : Ontario : Toronto + +Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. + +At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted. + + +Show more ","
    + + + + + +
    +
    + Requisition ID: 205683

    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

    The Team

    This position belongs to a highly skilled development team that develops and supports various applications in growing Global Regulatory & Controls Technology team. The team is responsible for providing specialized analysis, design, development, and support of cost effective, mission critical, on-line, risk management and decision support systems for business users within Scotiabank IT group.

    The Role

    • The incumbent will be responsible for supporting and building end-to-end technical solutions to support regulatory reporting of Scotia Capital Markets transactions. From root cause and business requirements analysis, aided by strong data and technical system analysis, to solutioning, development, testing, and release to production, the incumbent will ensure timely resolution of high priority Production Support tickets.
    • The incumbent will work closely with the broader project team, developers, scrum masters, regulatory stakeholders, trading systems, and downstream consumers to ensure high priority support tickets are resolved within SLAs with high quality. The incumbent will also be expected to develop application and business process subject matter expertise over the duration of the assignment.

    Is this role right for you?

    • Work within a cross functional Agile team to analyse and troubleshoot technical issues and production support tickets and deliver solutions for the same.
    • Change request delivery – requirements gathering, design, implementation, and testing as part of new regulatory initiatives.
    • Support of advanced issue triage and ad-hoc data analysis and reporting
    • Work closely with business users and IT teams from multiple key trading systems in Canada, US, and Asia, in the design and prototyping of business solutions
    • Ad hoc inquiries from business stakeholders on G20 Regulatory Reporting logic (CFTC, SEC, CSA, MAS, HKMA, EMIR, UK, etc.), behaviour, and data requests
    • Keep current on rapidly changing technological trends, self-leaner on new technologies and maintain an understanding of the business and technology strategies.
    • Ability to look at a problem from both a business and technical angle.
    • Other projects and initiatives as required.

    Do you have the skills that will enable you to succeed in this role?

    • Strong hands-on experience with data analysis and ETL (SQL, Python, Kafka, Jupyter, Java, XML, and JSON)
    • High levels of analytical, conceptual, problem solving and organizational skills
    • Excellent verbal and written communication skills
    • Attitude and willingness to learn fast, go above and beyond consistently and work independently without supervision.
    • Experience with Apache Kafka, Postman, ElasticSearch, Kubernetes, Airflow, and/or Linux
    • Ability to perform Java coding is a strong asset.
    • Knowledge of Capital Market products, front office trading, and back-office booking process globally.
    • Provide timely IT support to the enquiries from regulators in Canada and US and internal business stakeholders to meet critical timelines.
    • Excellent team building skills, working with diverse groups to resolve issues and identify efficiencies.
    • Ability to work in a project environment as required, with key deliverables and ensuring requirements of department are represented.
    • Strong ability to establish relationships with internal customers, as well as senior management.
    • A recognized degree in engineering, computer science, math, related discipline or experience

    What's in it for you?

    • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
    • We provide you with the tools and technology needed to create beautiful customer experiences
    • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
    • We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), generous vacation, personal & sick days, personal development funding, maternity leave top-up, parental leave and much more.

    #Python

    #ETL

    Location(s): Canada : Ontario : Toronto

    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3995439564,https://ca.linkedin.com/jobs/view/business-data-analyst-at-raise-3995439564?position=5&pageNum=2&refId=VZXBAJPE5t9LNW2XIOpLQw%3D%3D&trackingId=GywXUBuRhyccS9tf1fF92Q%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst,Raise,"Toronto, Ontario, Canada","Senior Business Analyst - Data Analytics + +Location: Scarborough, ON - Hybrid (1-2 days/per week in the office) + +Contract Length: 2 Months with possibility for extension. + + + + +We at Raise are hiring a Senior Business Analyst - Data Analytics for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. + + + + +We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work. + + + + +Responsibilities: + +Works with key stakeholders within all business functions to align technology solutions with business strategies. +Responsible for relationship management working to establish productive relationships between various leaders, departments and partners across the organization. +Able to be flexible/adaptable in exercising judgment in a changing environment and to manage competing priorities. +Gathers requirements from business units. +Visualize information depending on the stage of the project. +Perform different activities during the project lifecycle such as testing and a variety of task business analyses related. +Solutions-oriented and ability to develop and create innovative solutions to critical business or organizational data issues. +Strong analytical skills with amplitude for generating insights through an evidence-based thought process. + +Candidate Requirements/Must Have Skills: + +8+ years of Experience as a Business Analyst driving end to end project delivery with a focus on data analytics, business and IT stakeholder management, and process improvement. +3+ years of Experience in developing and producing KPI, KRI. +3+ years of Experience with Power BI, SQL, and advance Excel skills. +Knowledge of SWIFT payment is mandatory. + +Nice-To-Have Skills: + +Previous experience working in Financial Industry. +Previous experience in project management, tracking project progression. +Previous Experience working with payments. +Previous experience with Confluence and JIRA. + +Education: + +Undergraduate degree in Business, Economics, Finance, Engineering, Mathematics, or another related field. + +Show more ","
    + + + + + +
    +
    +

    Senior Business Analyst - Data Analytics

    Location: Scarborough, ON - Hybrid (1-2 days/per week in the office)

    Contract Length: 2 Months with possibility for extension.


    We at Raise are hiring a Senior Business Analyst - Data Analytics for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand.


    We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work.


    Responsibilities:

    • Works with key stakeholders within all business functions to align technology solutions with business strategies.
    • Responsible for relationship management working to establish productive relationships between various leaders, departments and partners across the organization.
    • Able to be flexible/adaptable in exercising judgment in a changing environment and to manage competing priorities.
    • Gathers requirements from business units.
    • Visualize information depending on the stage of the project.
    • Perform different activities during the project lifecycle such as testing and a variety of task business analyses related.
    • Solutions-oriented and ability to develop and create innovative solutions to critical business or organizational data issues.
    • Strong analytical skills with amplitude for generating insights through an evidence-based thought process.

    Candidate Requirements/Must Have Skills:

    • 8+ years of Experience as a Business Analyst driving end to end project delivery with a focus on data analytics, business and IT stakeholder management, and process improvement.
    • 3+ years of Experience in developing and producing KPI, KRI.
    • 3+ years of Experience with Power BI, SQL, and advance Excel skills.
    • Knowledge of SWIFT payment is mandatory.

    Nice-To-Have Skills:

    • Previous experience working in Financial Industry.
    • Previous experience in project management, tracking project progression.
    • Previous Experience working with payments.
    • Previous experience with Confluence and JIRA.

    Education:

    • Undergraduate degree in Business, Economics, Finance, Engineering, Mathematics, or another related field.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4007848813,https://ca.linkedin.com/jobs/view/data-analy-at-chive-inc-4007848813?position=6&pageNum=2&refId=VZXBAJPE5t9LNW2XIOpLQw%3D%3D&trackingId=AhVKyLGzbVfKpBf0%2FKbo4g%3D%3D&trk=public_jobs_jserp-result_search-card,Data & Analy,chive inc,"Toronto, Ontario, Canada","NERD NEEDED. + +DATA + ANALYTICS MANAGER.  $75-$85K year plus bonus + + + + + + + +Chive is a creative company. We design our own lines of plant pots and vases, candles and cards. Since we started in 2004, we’ve expanded from Toronto to California and England by being driven by design and refusing to deal with the vanilla -loving multinationals. + +Now we need a data and analytics manager to help us run our entire digital output, across social, email marketing and Shopify. You’ll also be the point person for our overseas team on all our digital output and for pushing out new product information to all 5 Shopify stores. (Please note this is not a content creator/ creative position.) + + + + +Here are the skills we’re looking for. + + + + +10+ years of relevant experience required. +Expert understanding of how to create, manage, and analyze Meta, Etsy and Pinterest advertising campaigns as well as connecting  accounts with existing Shopify stores. +Full understanding of Google Analytics, Search Console, Ads, Local Business and Klaviyo email marketing with a focus on analytics and performance +Shopify expert. Must understand Shopify analytics and how to improve site performance across all analytics +Knowledge of how Amazon S3 Photo bucket is a plus. Must be able to assist our outside partner with Photo bucket management. +Understanding of Amazon Seller Account functionality and analytics is a big plus. +Own the accuracy of data across all 5 websites. Direct team on how to correct errors when they are found. +The ability to fully understand how our systems operate and the order of operations for adding new data. + + + + +Show more ","
    + + + + + +
    +
    +

    NERD NEEDED.

    DATA + ANALYTICS MANAGER.  $75-$85K year plus bonus



    Chive is a creative company. We design our own lines of plant pots and vases, candles and cards. Since we started in 2004, we’ve expanded from Toronto to California and England by being driven by design and refusing to deal with the vanilla -loving multinationals.

    Now we need a data and analytics manager to help us run our entire digital output, across social, email marketing and Shopify. You’ll also be the point person for our overseas team on all our digital output and for pushing out new product information to all 5 Shopify stores. (Please note this is not a content creator/ creative position.)


    Here are the skills we’re looking for.


    • 10+ years of relevant experience required.
    • Expert understanding of how to create, manage, and analyze Meta, Etsy and Pinterest advertising campaigns as well as connecting  accounts with existing Shopify stores.
    • Full understanding of Google Analytics, Search Console, Ads, Local Business and Klaviyo email marketing with a focus on analytics and performance
    • Shopify expert. Must understand Shopify analytics and how to improve site performance across all analytics
    • Knowledge of how Amazon S3 Photo bucket is a plus. Must be able to assist our outside partner with Photo bucket management.
    • Understanding of Amazon Seller Account functionality and analytics is a big plus.
    • Own the accuracy of data across all 5 websites. Direct team on how to correct errors when they are found.
    • The ability to fully understand how our systems operate and the order of operations for adding new data.


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4004585939,https://ca.linkedin.com/jobs/view/senior-data-analyst-at-caat-pension-plan-4004585939?position=8&pageNum=2&refId=VZXBAJPE5t9LNW2XIOpLQw%3D%3D&trackingId=bJ2PKCUEAcvBc8tvC9pedQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,CAAT Pension Plan,"Toronto, Ontario, Canada","Our mission is to provide a secure, valuable, and sustainable workplace retirement solutions for Canadians. At CAAT, we live our values of integrity, impact, and teamwork every day. + + + + +The Senior Data Analyst is integral to the success of the Business Development Research & Data team, and to CAAT’s guiding mission and growth strategy. + + + + +This role’s primary focus will be data management and reporting to assist the Pension Solutions team in proactively managing relationships with external organizations and reporting on activities. The role provides additional support in performing research and documenting processes as required. + + + + +The role works closely with the Manager, Business Development Research & Data and guides the team’s other analysts and co-op students in a fast-paced environment with concurrent deliverables. + + + + +We are looking for someone with: + +A degree or diploma in data management, data analytics, statistics, or a related field. +At least five (5) years of experience in data analysis, preferably within the pension or finance sectors. +Experience with Salesforce and either holding or working towards Salesforce certification. +Proven ability to manage multiple tasks efficiently, set priorities, and oversee team projects independently. +Familiarity with CRM tools and/or Power BI is a plus. +Exceptional attention to detail and accuracy. +Proficiency in Microsoft Office Suite, with advanced Excel skills. +A knack for innovative thinking and problem-solving. +Knowledge of pension plans, group benefits, or labor relations is advantageous. +Strong written and verbal communication skills. + + + + +The successful candidate will demonstrate: + +Excellent organizational skills with a proactive and solution-oriented approach to task and project management. +Effective communication and training skills, with the ability to convey complex information clearly. +A strategic mindset and resourcefulness in addressing challenges and improving processes. +Dedication to CAAT’s values and organizational culture, including integrity, teamwork, respect, and optimism. + + + + +Once here you will: + +Guide the team in maintaining, processing, and analyzing stakeholder data, ensuring accuracy and attention to detail. +Train and support new team members and internal stakeholders on tools and processes, providing clear documentation and updates. +Analyze and report on key performance indicators to support strategic initiatives and inform decision-making. +Investigate and implement improvements in Salesforce, working with relevant teams to develop and test new features. +Develop and apply best practices to enhance department efficiency and effectiveness, contributing to process improvements. +Coordinate with internal teams on various projects, initiatives, and training efforts, ensuring effective communication and documentation. +Review and provide feedback on the work of data analysts and co-op students, ensuring high-quality outputs. +Conduct research to address data gaps and support organizational needs, contributing to a comprehensive understanding of data requirements. + + + + +Step into CAAT - where your work is both rewarding and meaningful, growth is a constant, fun is the way we roll, and your impact is real! If you meet most of the criteria above, we would love to connect with you. + + + + +Our commitment to you as a CAATster: + + + + +We’re about growing together and creating impact in a collaborative and caring environment! + + + + +Comprehensive & Holistic Care: Your dedication deserves appreciation! At CAAT, we celebrate the complete you, prioritizing your well-being above all. Our all-encompassing employee programs are designed to cater to every aspect of your life and well-being, ensuring you feel cherished and valued. We provide a competitive Total Rewards program based around your physical, mental, and financial wellness. This includes, but is not limited to, your compensation, paid time off, health and dental benefits, wellness programs, wellness incentives, and (of course) a defined benefit pension plan. + + + + +Growth Opportunities: Embrace a vibrant, ever-evolving environment at CAAT, where growth is not just a goal, but our way of life! We're expanding and transforming constantly, which means endless opportunities for you to adapt, innovate, and learn. As we grow, so do you. Let’s make a difference together! + + + + +A Culture of Collaboration and Fun: We're a team that works, grows, and celebrates together. At CAAT, you belong to a collaborative, inclusive and lively environment that sparks creativity and fosters open communication. + + + + +Making a Difference, Together: We're on a mission to secure a better future for Canadians. Your meaningful contributions go beyond the workplace, touching lives and making a significant societal impact. Work that truly counts! + + + + +But don't just take our word for it! We’ve consistently been recognized as one of Canada's Most Admired Corporate Cultures, as one of Greater Toronto's Top Employers, and one of the Best Places to Work. + +Learn more about us by visiting www.caatpension.ca/careers + +Diversity, Equity, Inclusion, and Belonging: + +Diversity, Equity, Inclusion, and Belonging (DEIB) at CAAT means we respect and value the broadest range of experiences, geographies, gender, ethnicities, backgrounds, and perspectives as key elements of our culture. Our vision is to provide an environment where employees can bring their best, professional, authentic, selves to work. + + + + +CAAT Pension Plan is an equal opportunity employer, and we will accommodate any needs under the Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code. Hiring processes will be modified to remove barriers to accommodate those with disabilities, if requested. Should any applicant require accommodation through the application processes, please contact us at hr@caatpension.ca or call Human Resources at 416-673-9000for assistance. + +Show more ","
    + + + + + +
    +
    +

    Our mission is to provide a secure, valuable, and sustainable workplace retirement solutions for Canadians. At CAAT, we live our values of integrity, impact, and teamwork every day.


    The Senior Data Analyst is integral to the success of the Business Development Research & Data team, and to CAAT’s guiding mission and growth strategy.


    This role’s primary focus will be data management and reporting to assist the Pension Solutions team in proactively managing relationships with external organizations and reporting on activities. The role provides additional support in performing research and documenting processes as required.


    The role works closely with the Manager, Business Development Research & Data and guides the team’s other analysts and co-op students in a fast-paced environment with concurrent deliverables.


    We are looking for someone with:

    • A degree or diploma in data management, data analytics, statistics, or a related field.
    • At least five (5) years of experience in data analysis, preferably within the pension or finance sectors.
    • Experience with Salesforce and either holding or working towards Salesforce certification.
    • Proven ability to manage multiple tasks efficiently, set priorities, and oversee team projects independently.
    • Familiarity with CRM tools and/or Power BI is a plus.
    • Exceptional attention to detail and accuracy.
    • Proficiency in Microsoft Office Suite, with advanced Excel skills.
    • A knack for innovative thinking and problem-solving.
    • Knowledge of pension plans, group benefits, or labor relations is advantageous.
    • Strong written and verbal communication skills.


    The successful candidate will demonstrate:

    • Excellent organizational skills with a proactive and solution-oriented approach to task and project management.
    • Effective communication and training skills, with the ability to convey complex information clearly.
    • A strategic mindset and resourcefulness in addressing challenges and improving processes.
    • Dedication to CAAT’s values and organizational culture, including integrity, teamwork, respect, and optimism.


    Once here you will:

    • Guide the team in maintaining, processing, and analyzing stakeholder data, ensuring accuracy and attention to detail.
    • Train and support new team members and internal stakeholders on tools and processes, providing clear documentation and updates.
    • Analyze and report on key performance indicators to support strategic initiatives and inform decision-making.
    • Investigate and implement improvements in Salesforce, working with relevant teams to develop and test new features.
    • Develop and apply best practices to enhance department efficiency and effectiveness, contributing to process improvements.
    • Coordinate with internal teams on various projects, initiatives, and training efforts, ensuring effective communication and documentation.
    • Review and provide feedback on the work of data analysts and co-op students, ensuring high-quality outputs.
    • Conduct research to address data gaps and support organizational needs, contributing to a comprehensive understanding of data requirements.


    Step into CAAT - where your work is both rewarding and meaningful, growth is a constant, fun is the way we roll, and your impact is real! If you meet most of the criteria above, we would love to connect with you.


    Our commitment to you as a CAATster:


    We’re about growing together and creating impact in a collaborative and caring environment!


    Comprehensive & Holistic Care: Your dedication deserves appreciation! At CAAT, we celebrate the complete you, prioritizing your well-being above all. Our all-encompassing employee programs are designed to cater to every aspect of your life and well-being, ensuring you feel cherished and valued. We provide a competitive Total Rewards program based around your physical, mental, and financial wellness. This includes, but is not limited to, your compensation, paid time off, health and dental benefits, wellness programs, wellness incentives, and (of course) a defined benefit pension plan.


    Growth Opportunities: Embrace a vibrant, ever-evolving environment at CAAT, where growth is not just a goal, but our way of life! We're expanding and transforming constantly, which means endless opportunities for you to adapt, innovate, and learn. As we grow, so do you. Let’s make a difference together!


    A Culture of Collaboration and Fun: We're a team that works, grows, and celebrates together. At CAAT, you belong to a collaborative, inclusive and lively environment that sparks creativity and fosters open communication.


    Making a Difference, Together: We're on a mission to secure a better future for Canadians. Your meaningful contributions go beyond the workplace, touching lives and making a significant societal impact. Work that truly counts!


    But don't just take our word for it! We’ve consistently been recognized as one of Canada's Most Admired Corporate Cultures, as one of Greater Toronto's Top Employers, and one of the Best Places to Work.

    Learn more about us by visiting www.caatpension.ca/careers

    Diversity, Equity, Inclusion, and Belonging:

    Diversity, Equity, Inclusion, and Belonging (DEIB) at CAAT means we respect and value the broadest range of experiences, geographies, gender, ethnicities, backgrounds, and perspectives as key elements of our culture. Our vision is to provide an environment where employees can bring their best, professional, authentic, selves to work.


    CAAT Pension Plan is an equal opportunity employer, and we will accommodate any needs under the Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code. Hiring processes will be modified to remove barriers to accommodate those with disabilities, if requested. Should any applicant require accommodation through the application processes, please contact us at hr@caatpension.ca or call Human Resources at 416-673-9000for assistance.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4005889563,https://ca.linkedin.com/jobs/view/data-analyst-position-at-artisoft-technology-inc-4005889563?position=9&pageNum=2&refId=VZXBAJPE5t9LNW2XIOpLQw%3D%3D&trackingId=ElHDBIGkm9%2BqgEhJJkdXAg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst Position,ArtiSoft Technology Inc.,"Montreal, Quebec, Canada","ArtiSoft is a Montreal-based startup founded by technologists with extensive experience in processing healthcare data and a passion for optimizing business processes and analytics models.  We work in enabling businesses to self-serve in an IT approved environment. + + + + +We are looking for a Data Analyst  to join our dynamic team. In this role, you will work closely with our JetStore Data Platform using Healthcare Data and work with our customers to help them define and maintain data pipelines and data transformation to produce high quality analytics reports. + + + + +The ideal candidate would have skills and experience in manipulating and extracting data from various data sources using AWS tools, work with SQL to produce reports, as well as good communication skills. + + + + +Highly motivated new grads with demonstrated talent in these areas are encouraged to apply.  This is an extraordinary opportunity for learning new skills, including client interaction skills, as well as managing and deploying cloud-based data pipelines. + + + + +Required skills and qualifications: + +JSON data format +SQL database +Data analysis +GIT source control + + + + +Knowledge of / Other experience + +Postgresql database +AWS cloud tools +Github +Object Oriented data model +SQL data model +Semantic Web +ontology  +OWL - web ontology language + + + + +Salary is competitive based on qualifications and experience. + +Job Type: Regular, Full Time + +Work location: Primarily work from Home with some onsite meetings / workshops. + + + + +ArtiSoft is mostly a French speaking work environment; however, our clients are located in the US, which requires English communication skills.  + + + + +At ArtiSoft, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.  + +Show more ","
    + + + + + +
    +
    +

    ArtiSoft is a Montreal-based startup founded by technologists with extensive experience in processing healthcare data and a passion for optimizing business processes and analytics models.  We work in enabling businesses to self-serve in an IT approved environment.


    We are looking for a Data Analyst  to join our dynamic team. In this role, you will work closely with our JetStore Data Platform using Healthcare Data and work with our customers to help them define and maintain data pipelines and data transformation to produce high quality analytics reports.


    The ideal candidate would have skills and experience in manipulating and extracting data from various data sources using AWS tools, work with SQL to produce reports, as well as good communication skills.


    Highly motivated new grads with demonstrated talent in these areas are encouraged to apply.  This is an extraordinary opportunity for learning new skills, including client interaction skills, as well as managing and deploying cloud-based data pipelines.


    Required skills and qualifications:

    • JSON data format
    • SQL database
    • Data analysis
    • GIT source control


    Knowledge of / Other experience

    • Postgresql database
    • AWS cloud tools
    • Github
    • Object Oriented data model
    • SQL data model
    • Semantic Web
    • ontology 
    • OWL - web ontology language


    Salary is competitive based on qualifications and experience.

    Job Type: Regular, Full Time

    Work location: Primarily work from Home with some onsite meetings / workshops.


    ArtiSoft is mostly a French speaking work environment; however, our clients are located in the US, which requires English communication skills. 


    At ArtiSoft, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. 

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3995653557,https://ca.linkedin.com/jobs/view/senior-data-analyst-at-ltimindtree-3995653557?position=10&pageNum=2&refId=VZXBAJPE5t9LNW2XIOpLQw%3D%3D&trackingId=4yu%2FVNPIlAABP7ywxzLICA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,LTIMindtree,"Markham, Ontario, Canada","About Us: + +LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com. + +Job Title: + +Senior Data Analyst + + + + +Work Location + +Markham, CA + + + + +Job Description: + +We are seeking a collaborative and resourceful Senior Data Systems Analyst for our fastpaced Information Technology Enterprise Data Services Delivery function at Client’s Canada You will be part of the data systems analysis team and help scale the data and analytics capabilities You will be responsible for being a liaison between various business units and technical data teams Youll be required to apply your depth of knowledge and expertise to all areas including requirements documentation road mapping data analysis and data analytics Further you will be part of the data transformation initiatives to help Client’s build the right data mindset to enable our directtoconsumer business data science capabilities and expand our digital footprint + + + + +Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): + + + + +Benefits and Perks: + +Comprehensive Medical Plan Covering Medical, Dental, Vision + +Short Term and Long-Term Disability Coverage + +401(k) Plan with Company match + +Life Insurance + +Vacation Time, Sick Leave, Paid Holidays + +Paid Paternity and Maternity Leave + + + + +The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. + + + + +Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. + + + + +LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. + +Safe return to office: + +In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes. + +Show more ","
    + + + + + +
    +
    +

    About Us:

    LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com.

    Job Title:

    Senior Data Analyst


    Work Location

    Markham, CA


    Job Description:

    We are seeking a collaborative and resourceful Senior Data Systems Analyst for our fastpaced Information Technology Enterprise Data Services Delivery function at Client’s Canada You will be part of the data systems analysis team and help scale the data and analytics capabilities You will be responsible for being a liaison between various business units and technical data teams Youll be required to apply your depth of knowledge and expertise to all areas including requirements documentation road mapping data analysis and data analytics Further you will be part of the data transformation initiatives to help Client’s build the right data mindset to enable our directtoconsumer business data science capabilities and expand our digital footprint


    Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):


    Benefits and Perks:

    Comprehensive Medical Plan Covering Medical, Dental, Vision

    Short Term and Long-Term Disability Coverage

    401(k) Plan with Company match

    Life Insurance

    Vacation Time, Sick Leave, Paid Holidays

    Paid Paternity and Maternity Leave


    The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.


    Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.


    LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

    Safe return to office:

    In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +4000239374,https://ca.linkedin.com/jobs/view/data-analyst-at-cpa-ontario-4000239374?position=3&pageNum=5&refId=WxFLiI91Ju6fTD5dwVeq3Q%3D%3D&trackingId=UF4iPxhrvc47PQR6Hp6Wfw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,CPA Ontario,"Greater Toronto Area, Canada","Bring your Knowledge of Power BI and Data Analysis + +To our Information Technology Team + + + + +CPA Ontario is currently in search of a Data Analyst who will be responsible for extracting, analyzing, and interpreting financial data from various sources to support strategic decision-making and operational initiatives. As part of our Enterprise Architecture team, you will work closely with other cross-functional departments including IT, Finance and Operations, collaborating with business stakeholders to provide actionable insights and recommendations. As a Data Analyst you will be accountable for understanding data needs, working to design and develop reports and dashboards, and conducting thorough data analysis to identify trends, patterns, and opportunities for improvement. + + + + +What You’ll Be Doing: + +Working collaboratively with business stakeholders within IT, Business Intelligence and Finance departments and other operational teams to understand business requirements and translate them into data-driven solutions. + + + + +Extracting, cleaning, and manipulating large datasets from multiple sources including financial databases, CRM systems, ERP systems, and spreadsheets. + + + + +Performing analysis of data to identify trends, anomalies, and opportunities for improvement. + + + + +Designing and developing reports, dashboards, and data visualizations to present findings in a clear and concise manner. + + + + +Preparing regular and ad-hoc reports and dashboards to communicate findings to stakeholders. + + + + +Conducting variance analysis and performance reporting to support budgeting and forecasting processes. + + + + +Assisting in the design and implementation of data collection systems and strategies to optimize efficiency and data quality. + + + + +Administering, monitoring, supporting and maintaining SQL servers in our environment. + + + + +Staying current in industry trends and best practices in data analysis and modeling. + + + + +Who You Are: + +A post-secondary graduate preferably in information systems, information technology, computer science, or related field. + + + + +Experienced in working with databases and ERP systems with a minimum of 3 years’ experience in a Data Analyst role. + + + + +Proficient in SQL, Microsoft Excel and data processing tools and software – in particular Power BI. + + + + +Proficient in Microsoft Dynamics 365 and SharePoint. Experience with Salesforce or other CRM considered an asset. + + + + +Highly organized and able to manage projects and timelines within tight deadlines in a fast-paced environment. + + + + +Able to work efficiently and effectively as a team member, as well as independently. + + + + +An excellent communicator with the ability to convey ideas succinctly and conveying complex findings and insights to technical and non-technical stakeholders with ease. + + + + +A self-starter with excellent problem-solving skills and the ability to think analytically about solutions. + + + + +Committed to ongoing training and a desire to learn new skills and continually expand upon knowledge and expertise. + + + + +What We Offer: + +A fast-paced environment. Collaboration, innovation and passionate professionals are at our core. We relentlessly pursue what’s next to unlock the full potential of you and us together. + + + + +Flexible work environments. As part of our Hybrid work culture, we provide flexible, remote work options to support you in your career, in addition to in-office teamwork and collaboration. + + + + +Diversity and inclusion. We recognize the value in our differences and prioritize inclusivity to bring together the best talent to protect the public, advance the profession and enable CPAs to lead business and society forward. + + + + +Ongoing learning and career growth. We want your career to skyrocket. We support career advancement and professional development opportunities with learning investments to promote your future growth. Thrive with us. + + + + +Focus on your well-being. With industry leading benefits and wellness programs, including a healthy lifestyle allowance, mental health resources and more, we’re committed to your well-being. + + + + +Who We Are: + +We protect the public. We advance the profession. We enable CPAs to lead business and society forward. We ensure that our 103,000 members and 18,000 students meet the highest standards of integrity and expertise. We help them stay ahead of global market trends and abreast of regulatory change. CPAs represent a globally recognized, premium designation. Our Chartered Professional Accountants are valued by organizations in all industries for their financial expertise, strategic thinking, management skills and leadership. We believe that success happens when both business and society benefit. For information on the profession visit: cpaontario.ca. + + + + +We Appreciate Your Interest In CPA Ontario And This Position: + +At CPA Ontario, we are committed to building high-performance teams. Our selection process is thorough, and all candidate applications are reviewed. Should your qualifications and experience meet the requirements of this role, a member of our recruitment team will contact you. We encourage you to set up CPA Ontario job alerts for positions that align to your experience and career goals. + + + + +CPA Ontario is an inclusive employer. Accommodation is available under the Ontario Human Rights Code. If you require a disability-related accommodation to participate in the recruitment process, please email accessibility@cpaontario.ca with “Accommodation Required” in the subject line to provide your contact information. A member of the Recruitment team will contact you within 48 hours. + +Show more ","
    + + + + + +
    +
    +

    Bring your Knowledge of Power BI and Data Analysis

    To our Information Technology Team


    CPA Ontario is currently in search of a Data Analyst who will be responsible for extracting, analyzing, and interpreting financial data from various sources to support strategic decision-making and operational initiatives. As part of our Enterprise Architecture team, you will work closely with other cross-functional departments including IT, Finance and Operations, collaborating with business stakeholders to provide actionable insights and recommendations. As a Data Analyst you will be accountable for understanding data needs, working to design and develop reports and dashboards, and conducting thorough data analysis to identify trends, patterns, and opportunities for improvement.


    What You’ll Be Doing:

    Working collaboratively with business stakeholders within IT, Business Intelligence and Finance departments and other operational teams to understand business requirements and translate them into data-driven solutions.


    Extracting, cleaning, and manipulating large datasets from multiple sources including financial databases, CRM systems, ERP systems, and spreadsheets.


    Performing analysis of data to identify trends, anomalies, and opportunities for improvement.


    Designing and developing reports, dashboards, and data visualizations to present findings in a clear and concise manner.


    Preparing regular and ad-hoc reports and dashboards to communicate findings to stakeholders.


    Conducting variance analysis and performance reporting to support budgeting and forecasting processes.


    Assisting in the design and implementation of data collection systems and strategies to optimize efficiency and data quality.


    Administering, monitoring, supporting and maintaining SQL servers in our environment.


    Staying current in industry trends and best practices in data analysis and modeling.


    Who You Are:

    A post-secondary graduate preferably in information systems, information technology, computer science, or related field.


    Experienced in working with databases and ERP systems with a minimum of 3 years’ experience in a Data Analyst role.


    Proficient in SQL, Microsoft Excel and data processing tools and software – in particular Power BI.


    Proficient in Microsoft Dynamics 365 and SharePoint. Experience with Salesforce or other CRM considered an asset.


    Highly organized and able to manage projects and timelines within tight deadlines in a fast-paced environment.


    Able to work efficiently and effectively as a team member, as well as independently.


    An excellent communicator with the ability to convey ideas succinctly and conveying complex findings and insights to technical and non-technical stakeholders with ease.


    A self-starter with excellent problem-solving skills and the ability to think analytically about solutions.


    Committed to ongoing training and a desire to learn new skills and continually expand upon knowledge and expertise.


    What We Offer:

    A fast-paced environment. Collaboration, innovation and passionate professionals are at our core. We relentlessly pursue what’s next to unlock the full potential of you and us together.


    Flexible work environments. As part of our Hybrid work culture, we provide flexible, remote work options to support you in your career, in addition to in-office teamwork and collaboration.


    Diversity and inclusion. We recognize the value in our differences and prioritize inclusivity to bring together the best talent to protect the public, advance the profession and enable CPAs to lead business and society forward.


    Ongoing learning and career growth. We want your career to skyrocket. We support career advancement and professional development opportunities with learning investments to promote your future growth. Thrive with us.


    Focus on your well-being. With industry leading benefits and wellness programs, including a healthy lifestyle allowance, mental health resources and more, we’re committed to your well-being.


    Who We Are:

    We protect the public. We advance the profession. We enable CPAs to lead business and society forward. We ensure that our 103,000 members and 18,000 students meet the highest standards of integrity and expertise. We help them stay ahead of global market trends and abreast of regulatory change. CPAs represent a globally recognized, premium designation. Our Chartered Professional Accountants are valued by organizations in all industries for their financial expertise, strategic thinking, management skills and leadership. We believe that success happens when both business and society benefit. For information on the profession visit: cpaontario.ca.


    We Appreciate Your Interest In CPA Ontario And This Position:

    At CPA Ontario, we are committed to building high-performance teams. Our selection process is thorough, and all candidate applications are reviewed. Should your qualifications and experience meet the requirements of this role, a member of our recruitment team will contact you. We encourage you to set up CPA Ontario job alerts for positions that align to your experience and career goals.


    CPA Ontario is an inclusive employer. Accommodation is available under the Ontario Human Rights Code. If you require a disability-related accommodation to participate in the recruitment process, please email accessibility@cpaontario.ca with “Accommodation Required” in the subject line to provide your contact information. A member of the Recruitment team will contact you within 48 hours.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +4004949781,https://ca.linkedin.com/jobs/view/data-analyst-hybrid-at-questrade-financial-group-4004949781?position=4&pageNum=5&refId=WxFLiI91Ju6fTD5dwVeq3Q%3D%3D&trackingId=cOqZ4buolhHk6Q%2FaM9r%2FBQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (hybrid),Questrade Financial Group,"North York, Ontario, Canada","Questrade Financial Group (QFG) of Companies is committed to helping our customers become much more financially successful and secure. + +We are everything a traditional financial institution is not. At QFG, you will be constantly moving forward, bringing the future of fintech into existence. You will be a part of a collaborative team that cares deeply about our mission and each other. Your team members will help you conquer challenges, push boundaries and discover what you are truly capable of. + +This is a place where you can explore, discover and learn with continuous growth. As a diverse and inclusive place to work, there are flexible working arrangements so you can unleash your creativity and curiosity with no limits. If you share the same sense of infinite possibility, come shape your future at Questrade. + +What’s in it for you as an employee of QFG? + + +Health & wellbeing resources and programs +Paid vacation, personal, and sick days for work-life balance +Competitive compensation and benefits packages +Hybrid and flexible work arrangements +Career growth and development opportunities +Opportunities to contribute to community causes +Work with diverse team members in an inclusive and collaborative environment + + + +We’re looking for our next Data Analyst . Could it Be You? + +The primary role of the Data Analyst is to serve as the backbone of our data-driven decision-making process, enabling the organization to leverage data effectively for strategic planning and operational improvements. + +What’s it like working as a Data Analyst at Questrade? + +The Data Analyst will be responsible for collecting, organizing, and transforming data into clear and concise reports and visualizations. They will also be responsible for improving operational efficiencies through automation. + +Need more details? Keep reading... + +In this role, responsibilities include but are not limited to: + + +Participating in and contributing to all Agile Scrum ceremonies +Gathering and documenting requirements from stakeholders +Collecting and analyzing complex data sets using advanced analytical techniques and tools such as Power BI +Generating clear and concise reports to stakeholder specifications +Creating dashboards and visualizations in order to allow management to make business decisions or allow stakeholders to complete day to day operations +Collaborating with stakeholders to understand requirements to improve accuracy and implement process automation +Assisting in finding solutions to existing day to day reporting and processes by automating manual processes or enhancing data validation +Staying current with industry trends and best practices in coding, data analysis, automation, and visualization +Collaborating with other Questrade departments on special projects +Performing other duties as assigned + + + +So are YOU our next Data Analyst? You are if you… + + +Hold a Degree or Diploma in business or finance or have equivalent experience +Have 2+ years of Data analytics or computer programming experience +Have experience with G-Suite, especially Google Sheets +Are proficient in the programming languages SQL, Apps Script and Python +Have experience with data visualization and building interactive dashboards in Power BI +Have strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders +Have excellent analytical and problem-solving skills, with a keen attention to detail +Can work independently and manage multiple priorities in a dynamic environment + + + +Additional Kudos If You Have… + + +Brokerage experience, preferably in Customer service, Operations, or IT related discipline +Working knowledge of the financial industry +Experience using Broadridge BPS + + + +Sounds like you? Click below to apply! + +At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. Our team reflects the diversity of the communities we serve and operate in. Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence—not only for the benefit of our customers, but for those who build their career with us. + +Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs. + +Apply Now + + +Show more ","
    + + + + + +
    +
    + Questrade Financial Group (QFG) of Companies is committed to helping our customers become much more financially successful and secure.

    We are everything a traditional financial institution is not. At QFG, you will be constantly moving forward, bringing the future of fintech into existence. You will be a part of a collaborative team that cares deeply about our mission and each other. Your team members will help you conquer challenges, push boundaries and discover what you are truly capable of.

    This is a place where you can explore, discover and learn with continuous growth. As a diverse and inclusive place to work, there are flexible working arrangements so you can unleash your creativity and curiosity with no limits. If you share the same sense of infinite possibility, come shape your future at Questrade.

    What’s in it for you as an employee of QFG?

    • Health & wellbeing resources and programs
    • Paid vacation, personal, and sick days for work-life balance
    • Competitive compensation and benefits packages
    • Hybrid and flexible work arrangements
    • Career growth and development opportunities
    • Opportunities to contribute to community causes
    • Work with diverse team members in an inclusive and collaborative environment


    We’re looking for our next Data Analyst . Could it Be You?

    The primary role of the Data Analyst is to serve as the backbone of our data-driven decision-making process, enabling the organization to leverage data effectively for strategic planning and operational improvements.

    What’s it like working as a Data Analyst at Questrade?

    The Data Analyst will be responsible for collecting, organizing, and transforming data into clear and concise reports and visualizations. They will also be responsible for improving operational efficiencies through automation.

    Need more details? Keep reading...

    In this role, responsibilities include but are not limited to:

    • Participating in and contributing to all Agile Scrum ceremonies
    • Gathering and documenting requirements from stakeholders
    • Collecting and analyzing complex data sets using advanced analytical techniques and tools such as Power BI
    • Generating clear and concise reports to stakeholder specifications
    • Creating dashboards and visualizations in order to allow management to make business decisions or allow stakeholders to complete day to day operations
    • Collaborating with stakeholders to understand requirements to improve accuracy and implement process automation
    • Assisting in finding solutions to existing day to day reporting and processes by automating manual processes or enhancing data validation
    • Staying current with industry trends and best practices in coding, data analysis, automation, and visualization
    • Collaborating with other Questrade departments on special projects
    • Performing other duties as assigned


    So are YOU our next Data Analyst? You are if you…

    • Hold a Degree or Diploma in business or finance or have equivalent experience
    • Have 2+ years of Data analytics or computer programming experience
    • Have experience with G-Suite, especially Google Sheets
    • Are proficient in the programming languages SQL, Apps Script and Python
    • Have experience with data visualization and building interactive dashboards in Power BI
    • Have strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders
    • Have excellent analytical and problem-solving skills, with a keen attention to detail
    • Can work independently and manage multiple priorities in a dynamic environment


    Additional Kudos If You Have…

    • Brokerage experience, preferably in Customer service, Operations, or IT related discipline
    • Working knowledge of the financial industry
    • Experience using Broadridge BPS


    Sounds like you? Click below to apply!

    At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. Our team reflects the diversity of the communities we serve and operate in. Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence—not only for the benefit of our customers, but for those who build their career with us.

    Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs.

    Apply Now

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4005680163,https://ca.linkedin.com/jobs/view/data-analyst-at-co-operators-4005680163?position=5&pageNum=5&refId=WxFLiI91Ju6fTD5dwVeq3Q%3D%3D&trackingId=pf8XATRcxt%2FpNdsOI5xk3A%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Co-operators,"Mississauga, Ontario, Canada","Company: CGL + +Department: IT + +Employment Type: Regular Full-Time + +Work Model: Hybrid + +Language: This role operates in English. + +The Opportunity + +We are a leading Canadian financial services Co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities. + +Our Information Technology team aspires to be a leader in applying technology to power business strategies. We connect concepts with solutions to create value and efficiencies for our clients, employees, and communities. Our success is driven by our skilled and diverse team + +As the Data Analyst, you will design and implement the data related-elements of technology solutions, including data models, physical database designs, and meta-data management. You will analyze abstract, complex problems and effectively communicate with the business and Information Technology (IT) regarding data design, usage, and management to provide project and operations support. You will focus on business intelligence solutions and provide input into the strategic elements of an overall Enterprise Data Management (EDM) strategy. + +How You Will Create Impact + + +Building logical and physical data models and collaborating with business partners to meet data requirements. +Validating data flow through implemented data models from source to target and ensuring all data requirements are delivered. +Performing root cause analysis to determine cause of data defects and recommending solutions for resolution. +Collaborating with the Senior Manager to create, maintain, and manage meta-data for an entity. +Capturing and documenting business definitions and terms using the appropriate tools and methods. +Contributing to the development and maintenance of the enterprise architecture for information and data, and EDM strategy. + + + +How You Will Succeed + + +You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.   +You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions. +You have strong communication skills to clearly convey messages and explore diverse points of view.  +You build trusting relationships and provide guidance to support the development of colleagues. + + + +To Join Our Team + + +You have three years of experience working in database systems or a related field, and have significant experience in complex relational data modeling, database design, database platforms, and modeling tools. +You have a post-secondary degree in Commerce, Information Technology or Computer Science. +You have working knowledge of Extract, Transform and Loading (ETL) processes, as well as data warehouse and data mart principles and best practices. +Having dimensional data modelling experience is an asset. +Data visualization is an asset. + + + +What You Need To Know + + +You will be subject to a Background check as a condition of employment, in the event you are the successful candidate. + + + +What’s in it for you? + + +Training and development opportunities to grow your career. +Flexible work options and paid time off to support your personal and family needs. +A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture. +Paid volunteer days to give back to your community. +In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program. +Show more ","
    + + + + + +
    +
    + Company: CGL

    Department: IT

    Employment Type: Regular Full-Time

    Work Model: Hybrid

    Language: This role operates in English.

    The Opportunity

    We are a leading Canadian financial services Co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities.

    Our Information Technology team aspires to be a leader in applying technology to power business strategies. We connect concepts with solutions to create value and efficiencies for our clients, employees, and communities. Our success is driven by our skilled and diverse team

    As the Data Analyst, you will design and implement the data related-elements of technology solutions, including data models, physical database designs, and meta-data management. You will analyze abstract, complex problems and effectively communicate with the business and Information Technology (IT) regarding data design, usage, and management to provide project and operations support. You will focus on business intelligence solutions and provide input into the strategic elements of an overall Enterprise Data Management (EDM) strategy.

    How You Will Create Impact

    • Building logical and physical data models and collaborating with business partners to meet data requirements.
    • Validating data flow through implemented data models from source to target and ensuring all data requirements are delivered.
    • Performing root cause analysis to determine cause of data defects and recommending solutions for resolution.
    • Collaborating with the Senior Manager to create, maintain, and manage meta-data for an entity.
    • Capturing and documenting business definitions and terms using the appropriate tools and methods.
    • Contributing to the development and maintenance of the enterprise architecture for information and data, and EDM strategy.


    How You Will Succeed

    • You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.  
    • You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
    • You have strong communication skills to clearly convey messages and explore diverse points of view. 
    • You build trusting relationships and provide guidance to support the development of colleagues.


    To Join Our Team

    • You have three years of experience working in database systems or a related field, and have significant experience in complex relational data modeling, database design, database platforms, and modeling tools.
    • You have a post-secondary degree in Commerce, Information Technology or Computer Science.
    • You have working knowledge of Extract, Transform and Loading (ETL) processes, as well as data warehouse and data mart principles and best practices.
    • Having dimensional data modelling experience is an asset.
    • Data visualization is an asset.


    What You Need To Know

    • You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.


    What’s in it for you?

    • Training and development opportunities to grow your career.
    • Flexible work options and paid time off to support your personal and family needs.
    • A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
    • Paid volunteer days to give back to your community.
    • In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4004731100,https://ca.linkedin.com/jobs/view/data-analyst-at-407-etr-4004731100?position=6&pageNum=5&refId=WxFLiI91Ju6fTD5dwVeq3Q%3D%3D&trackingId=NxHIuQzwo3GgnWSvAjh49Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,407 ETR,"Woodbridge, Ontario, Canada","Position Summary + +This role focuses on financial data analysis and the development and maintenance of financial models to support decision-making and financial reporting. The position involves creating SQL queries for large-scale data extraction, building financial models in Excel, and automating operational reports and processes. Collaboration with various staff members and business units is essential to fulfill the role's responsibilities. + +Duties: + + +Assist the Senior Data Analyst in developing SQL queries to extract data from various data warehouses for use in financial models and ad-hoc reporting. +Support the Senior Manager of Finance in completing ad-hoc requests and audit requirements within tight timelines. +Maintaining financial models that are critical for understanding accounts receivable, revenue, cash receipts, and collections. +Develop, monitor, and maintain data warehouses, including updating, adding new data requirements, and ensuring data integrity. +Analyze and validate results from SQL query reports for reasonableness and reviewing of financial models for accuracy and consistencies. +Automate manual processes by leveraging scripting or programming languages to improve efficiency and accuracy. +Perform other duties as assigned. + + + +Qualifications: + + +Bachelor's Degree from an accredited college or university, preferably with a degree in business administration (finance and accounting), or a related field. +Minimum 2 years of experience in financial reporting or analytics role. +Intermediate proficiency in SQL, database systems and cloud platform is required, preferably on financial and customer data. Experience with SAP, SAS and Python is considered an asset. +Strong background in financial analysis, accounting cycle, and understanding business operations, qualitative, and quantitative results. +Solid working knowledge of MS applications including Access, Excel, Outlook, Word, and PowerPoint. +Experience with various software including Peoplesoft, Dbeaver, Tableau, Power BI, Salesforce and SAP is an asset. +Ability to work independently, great organizational and time management skills; planning and project management, and ability to meet multiple deadlines. +Outstanding interpersonal, collaboration, and written and verbal communication skills in a team setting to present results. +Commitment to personal growth and development. + + + +Note: This job description is not intended to be all-inclusive. The analyst may perform other related duties as negotiated to meet the ongoing needs of the organization. Accommodations for disabilities or other grounds protected by human rights legislation are available upon request for candidates taking part in all aspects of the consultant selection process. + +About 407 ETR + +Highway 407 ETR is an all-electronic open-access toll highway located in the Greater Toronto Area in Ontario, Canada. The highway spans 108 kilometres from Burlington in the west to Pickering in the east. + +407 International Inc. is the sole shareholder of 407 ETR and is owned by: + + +Canada Pension Plan Investment Board (CPP Investments) through indirectly-owned subsidiaries (50.01%); +Cintra Global S.E. which is a wholly-owned subsidiary of Ferrovial S.A. (43.23%); and +AtkinsRéalis, formally known as SNC-Lavalin (6.76%). + + + +Learn more at 407etr.com. + +Note: At 407 ETR, we are committed to fostering a diverse, equitable, and inclusive work environment. We value the unique perspectives and backgrounds of all individuals, and we firmly believe that our individual differences make us stronger as a whole. + +Our commitment to inclusion extends beyond recruitment and encompasses an inclusive workplace culture through raising awareness, ongoing training, and encouraging feedback. We aim to create a safe and supportive environment where all employees can thrive. + +Accommodation for disabilities or other grounds protected by human rights legislation are available upon request for candidates taking part in all aspects of the employment selection process. + +Highway 407 ETR is located in the Greater Toronto Area in Ontario, Canada and spans 108 km from Burlington in the west to Pickering in the east. +Show more ","
    + + + + + +
    +
    + Position Summary

    This role focuses on financial data analysis and the development and maintenance of financial models to support decision-making and financial reporting. The position involves creating SQL queries for large-scale data extraction, building financial models in Excel, and automating operational reports and processes. Collaboration with various staff members and business units is essential to fulfill the role's responsibilities.

    Duties:

    • Assist the Senior Data Analyst in developing SQL queries to extract data from various data warehouses for use in financial models and ad-hoc reporting.
    • Support the Senior Manager of Finance in completing ad-hoc requests and audit requirements within tight timelines.
    • Maintaining financial models that are critical for understanding accounts receivable, revenue, cash receipts, and collections.
    • Develop, monitor, and maintain data warehouses, including updating, adding new data requirements, and ensuring data integrity.
    • Analyze and validate results from SQL query reports for reasonableness and reviewing of financial models for accuracy and consistencies.
    • Automate manual processes by leveraging scripting or programming languages to improve efficiency and accuracy.
    • Perform other duties as assigned.


    Qualifications:

    • Bachelor's Degree from an accredited college or university, preferably with a degree in business administration (finance and accounting), or a related field.
    • Minimum 2 years of experience in financial reporting or analytics role.
    • Intermediate proficiency in SQL, database systems and cloud platform is required, preferably on financial and customer data. Experience with SAP, SAS and Python is considered an asset.
    • Strong background in financial analysis, accounting cycle, and understanding business operations, qualitative, and quantitative results.
    • Solid working knowledge of MS applications including Access, Excel, Outlook, Word, and PowerPoint.
    • Experience with various software including Peoplesoft, Dbeaver, Tableau, Power BI, Salesforce and SAP is an asset.
    • Ability to work independently, great organizational and time management skills; planning and project management, and ability to meet multiple deadlines.
    • Outstanding interpersonal, collaboration, and written and verbal communication skills in a team setting to present results.
    • Commitment to personal growth and development.


    Note: This job description is not intended to be all-inclusive. The analyst may perform other related duties as negotiated to meet the ongoing needs of the organization. Accommodations for disabilities or other grounds protected by human rights legislation are available upon request for candidates taking part in all aspects of the consultant selection process.

    About 407 ETR

    Highway 407 ETR is an all-electronic open-access toll highway located in the Greater Toronto Area in Ontario, Canada. The highway spans 108 kilometres from Burlington in the west to Pickering in the east.

    407 International Inc. is the sole shareholder of 407 ETR and is owned by:

    • Canada Pension Plan Investment Board (CPP Investments) through indirectly-owned subsidiaries (50.01%);
    • Cintra Global S.E. which is a wholly-owned subsidiary of Ferrovial S.A. (43.23%); and
    • AtkinsRéalis, formally known as SNC-Lavalin (6.76%).


    Learn more at 407etr.com.

    Note: At 407 ETR, we are committed to fostering a diverse, equitable, and inclusive work environment. We value the unique perspectives and backgrounds of all individuals, and we firmly believe that our individual differences make us stronger as a whole.

    Our commitment to inclusion extends beyond recruitment and encompasses an inclusive workplace culture through raising awareness, ongoing training, and encouraging feedback. We aim to create a safe and supportive environment where all employees can thrive.

    Accommodation for disabilities or other grounds protected by human rights legislation are available upon request for candidates taking part in all aspects of the employment selection process.

    Highway 407 ETR is located in the Greater Toronto Area in Ontario, Canada and spans 108 km from Burlington in the west to Pickering in the east. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3999967031,https://ca.linkedin.com/jobs/view/data-analyst-ml-datasets-at-telus-international-ai-data-solutions-3999967031?position=7&pageNum=5&refId=WxFLiI91Ju6fTD5dwVeq3Q%3D%3D&trackingId=o6K9g4gehrvAfVfSyPj4SA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst ML Datasets,TELUS International AI Data Solutions,Canada,"About TELUS International + +TELUS International (NYSE: TIXT) focuses on the value of human connection to design, build and deliver high-tech, high-touch customer experiences powered by next-gen digital solutions. With almost 75,000 team members and delivery centers across 30 countries in North and Central America, Europe, Africa and Asia, TELUS International empowers customer experience innovation through digital enablement, spirited teamwork, agile thinking, and a caring culture that puts customers first. The company's solutions cover customer experience, content moderation, digital transformation, IT lifecycle, advisory and digital consulting, risk management, and back-office support. Fueling any stage of company growth, TELUS International partners with some of the world’s most disruptive brands from fast-growing tech, financial services and fintech, games, travel and hospitality, healthcare, and ICT industries. The company serves clients in over 50 languages. Learn more at: telusinternational.com + + + + +Are you an experienced data analyst and looking to put your skills towards shaping the future of the latest AI technologies? Join TELUS International AI Data Solutions and help ensure that our Generative AI training datasets statistically reflect the full distribution of human behavior in multi-modal (writing, speech, images, videos, geo-spatial) contexts. We’re hiring experienced data analysts to help bring AI to the next level of performance and accuracy. + + + + +Job Description + +This is a cross-functional role supporting our pre-sales, operations and product teams with data-driven analyses and insights based on quality and performance data. You’ll craft innovative measurement formulae for GenAI training datasets based on statistical and heuristic data, along multiple dimensions (individual, cohort, task type, language, etc.). You’ll analyze GenAI training dataset metadata to ensure we create GenAI training datasets that optimize diversity, reliability, and relevance. + + + + +Responsibilities + +Analyze AI training datasets to ensure high quality in terms of reliability, statistical significance and agreement metrics +Statistically review AI training datasets to ensure diverse data representation in terms of client specifications and industry standards +Develop data quality instrumentation specs for deployment in dataset workflows, at individual, regional, task type, and language levels +Design metadata taxonomies to support data analyses of production, workforce and quality metrics +Train project managers in GenAI training dataset data analysis best practices +Prepare GenAI training dataset analysis reports with actionable insights +Support continuous process improvement for operations, workforce sourcing and quality control metrics + + + + +Qualifications / Requirements + +BA or BSc in Machine Learning, Data Engineering, Computer Science, Statistics, Mathematics, or related field +3+ years work experience in data analytics, preferably with 1+ years work experience in AI training datasets +Exceptional research and analytical skills +Strong communication skills and reporting skills +Strong organizational skills including prioritizing, time management, and ability to meet tight deadlines + + + + +Location + +Remote - Canada + + + + +TELUS Values: + + + + +TELUS International recognizes and embraces the importance of values in our ever-changing workplace. To be successful, all applicants must demonstrate behaviors that are reflective of our values: + + + + +We passionately put our customers and communities first +We embrace change and innovate courageously +We grow together through spirited teamwork + + + + +At TELUS International, we are committed to diversity and equitable access to employment opportunities based on ability. + + + + +EEO Statement + + + + +At TELUS International, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS International is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent. + + + + +Equal Opportunity Employer + + + + +At TELUS International, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. + +Show more ","
    + + + + + +
    +
    +

    About TELUS International

    TELUS International (NYSE: TIXT) focuses on the value of human connection to design, build and deliver high-tech, high-touch customer experiences powered by next-gen digital solutions. With almost 75,000 team members and delivery centers across 30 countries in North and Central America, Europe, Africa and Asia, TELUS International empowers customer experience innovation through digital enablement, spirited teamwork, agile thinking, and a caring culture that puts customers first. The company's solutions cover customer experience, content moderation, digital transformation, IT lifecycle, advisory and digital consulting, risk management, and back-office support. Fueling any stage of company growth, TELUS International partners with some of the world’s most disruptive brands from fast-growing tech, financial services and fintech, games, travel and hospitality, healthcare, and ICT industries. The company serves clients in over 50 languages. Learn more at: telusinternational.com


    Are you an experienced data analyst and looking to put your skills towards shaping the future of the latest AI technologies? Join TELUS International AI Data Solutions and help ensure that our Generative AI training datasets statistically reflect the full distribution of human behavior in multi-modal (writing, speech, images, videos, geo-spatial) contexts. We’re hiring experienced data analysts to help bring AI to the next level of performance and accuracy.


    Job Description

    This is a cross-functional role supporting our pre-sales, operations and product teams with data-driven analyses and insights based on quality and performance data. You’ll craft innovative measurement formulae for GenAI training datasets based on statistical and heuristic data, along multiple dimensions (individual, cohort, task type, language, etc.). You’ll analyze GenAI training dataset metadata to ensure we create GenAI training datasets that optimize diversity, reliability, and relevance.


    Responsibilities

    • Analyze AI training datasets to ensure high quality in terms of reliability, statistical significance and agreement metrics
    • Statistically review AI training datasets to ensure diverse data representation in terms of client specifications and industry standards
    • Develop data quality instrumentation specs for deployment in dataset workflows, at individual, regional, task type, and language levels
    • Design metadata taxonomies to support data analyses of production, workforce and quality metrics
    • Train project managers in GenAI training dataset data analysis best practices
    • Prepare GenAI training dataset analysis reports with actionable insights
    • Support continuous process improvement for operations, workforce sourcing and quality control metrics


    Qualifications / Requirements

    • BA or BSc in Machine Learning, Data Engineering, Computer Science, Statistics, Mathematics, or related field
    • 3+ years work experience in data analytics, preferably with 1+ years work experience in AI training datasets
    • Exceptional research and analytical skills
    • Strong communication skills and reporting skills
    • Strong organizational skills including prioritizing, time management, and ability to meet tight deadlines


    Location

    • Remote - Canada


    TELUS Values:


    TELUS International recognizes and embraces the importance of values in our ever-changing workplace. To be successful, all applicants must demonstrate behaviors that are reflective of our values:


    • We passionately put our customers and communities first
    • We embrace change and innovate courageously
    • We grow together through spirited teamwork


    At TELUS International, we are committed to diversity and equitable access to employment opportunities based on ability.


    EEO Statement


    At TELUS International, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS International is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent.


    Equal Opportunity Employer


    At TELUS International, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3998448316,https://ca.linkedin.com/jobs/view/business-intelligence-performance-analyst-at-metrolinx-3998448316?position=8&pageNum=5&refId=WxFLiI91Ju6fTD5dwVeq3Q%3D%3D&trackingId=mijSbdwsjgX7eFmOHr3pjw%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Performance Analyst,Metrolinx,"Greater Toronto Area, Canada","Job Description + +Metrolinx is connecting communities across the Greater Golden Horseshoe. Metrolinx operates GO Transit and UP Express, as well as the PRESTO fare payment system. We are also building new and improved rapid transit, including GO Expansion, Light Rail Transit routes, and major expansions to Toronto’s subway system, to get people where they need to go, better, faster and easier. Metrolinx is an agency of the Government of Ontario. + +At Metrolinx, equity, diversity and inclusion are essential to living our values of serving with passion, thinking forward and playing as a team. + +Our Business Performance & Reporting Office in the Operations (Rapid Transit) division is seeking a BI Performance Analyst to provide advice and analytical insight to the development of performance reports and processes that address partner reporting requirements. The BI Performance Analyst will support business performance and reporting for Operations Delivery & Safety business units and will report to the Manager, Business Performance and Reporting (Contract up to 18 months) + +What will I be doing? + + +Develop reporting dashboards and KPIs in Power BI from concept to completion and use insight to identify the best format and data interpretation to communicate with all partners +Track and analyze data to monitor performance trends +Identify requirements to develop high-value, actionable reporting +Develop processes to access relevant data essential for the development and deployment of analytical reports +Work with departments and other business units to identify opportunities for improvement in reporting, tools, or data collection techniques +Conduct preliminary analysis and quality assurance of all data, assess the validity of the data and evaluate the need for changes/modifications to existing program management systems +Remain current and informed of operational issues and participate in the review and evaluation of policies, procedures and methodologies for the collection, analysis, and quality assurance of project- and program-based reports +Maintain performance metrics to be used across Operations (Rapid Transit) to track performance +Build relationships with stakeholders to maintain knowledge of issues affecting projects and to facilitate cooperation in the provision of data for report preparation +Identify opportunities to develop new data collection and reporting processes +Engage with partners and represent the department by participating in reporting meetings + + + +What Skills and Qualifications Do I Need? + + +Completion of a degree in Computer Science, Data Science, Economics, Engineering, Mathematics, Statistics, or a combination of education, training and experience deemed to be equivalent +Experience with reporting visualization tools Power BI (preferred), Tableau, Qlik Sense, etc. +Data collection/management techniques (ETL) and the development/interpretation of data to determine requirements, retrieve, analyze and deliver insights and recommendations +Data quality assurance processes, methodology and tools, quality assurance testing and implementation methods and practices to ensure the integrity of data +Creativity to determine format of dashboards and to translate a range of diverse data/information into actionable results that support internal and external requirements +Demonstrated ability to evaluate data and present data that drive improvements +Experience communicating analytic methodology to non-technical audience +Excellent verbal and written communication skills to draft reports, analyze information and present information to various audiences + + + +Don’t Meet Every Requirement? + +If you’re excited about working with Metrolinx but your past experience doesn’t quite align with every qualification of this posting, we encourage you to apply. You just might be the right candidate for this or other roles. We are always looking for great talent to join our team. + +We invite all interested individuals to apply and encourage applications from members of equity-deserving communities, including those who identify as Indigenous, Black, racialized, women, people with disabilities, and people with diverse gender identities, expressions and sexual orientations. + +Accommodation + +We value the unique skills and experiences each person brings to Metrolinx and are committed to creating and maintaining an inclusive and accessible environment. We are committed to the requirements of the Accessibility for Ontarians with Disabilities Act so if you require accommodation during the hiring process, please let our Recruitment team know by contacting us at: 416-202-5601 or email hr.recruitment@metrolinx.com . + +Application Process + +All applicants must be legally entitled to work in Canada. Metrolinx will be using email to communicate with you for all job competitions. It is your responsibility to include an updated email address that is checked daily and accepts emails from unknown users. As we send time-sensitive correspondence, we recommend that you check your email regularly. If no response is received, we will assume you are no longer interested in pursuing the opportunity. Please be advised that a Criminal Record Check may be required of the successful candidate. + +For Internal applicants, with the recent implementation of the Internal Mobility Policy, the internal recruitment process has changed for non-union roles. Candidates must be in their current role for 12 months prior to applying for another role and each applicant must be in good standing (not participating in a Performance Improvement Plan). Please review all provisions of the policy before submitting your application. + +Should it be determined that any background information provided is misleading, inaccurate or incorrect, Metrolinx reserves the right to discontinue with the consideration of your application. + +We thank all applicants for their interest, however, only those selected for further consideration will be contacted. + +WE ARE AN EQUITABLE AND INCLUSIVE EMPLOYER. +Show more ","
    + + + + + +
    +
    + Job Description

    Metrolinx is connecting communities across the Greater Golden Horseshoe. Metrolinx operates GO Transit and UP Express, as well as the PRESTO fare payment system. We are also building new and improved rapid transit, including GO Expansion, Light Rail Transit routes, and major expansions to Toronto’s subway system, to get people where they need to go, better, faster and easier. Metrolinx is an agency of the Government of Ontario.

    At Metrolinx, equity, diversity and inclusion are essential to living our values of serving with passion, thinking forward and playing as a team.

    Our Business Performance & Reporting Office in the Operations (Rapid Transit) division is seeking a BI Performance Analyst to provide advice and analytical insight to the development of performance reports and processes that address partner reporting requirements. The BI Performance Analyst will support business performance and reporting for Operations Delivery & Safety business units and will report to the Manager, Business Performance and Reporting (Contract up to 18 months)

    What will I be doing?

    • Develop reporting dashboards and KPIs in Power BI from concept to completion and use insight to identify the best format and data interpretation to communicate with all partners
    • Track and analyze data to monitor performance trends
    • Identify requirements to develop high-value, actionable reporting
    • Develop processes to access relevant data essential for the development and deployment of analytical reports
    • Work with departments and other business units to identify opportunities for improvement in reporting, tools, or data collection techniques
    • Conduct preliminary analysis and quality assurance of all data, assess the validity of the data and evaluate the need for changes/modifications to existing program management systems
    • Remain current and informed of operational issues and participate in the review and evaluation of policies, procedures and methodologies for the collection, analysis, and quality assurance of project- and program-based reports
    • Maintain performance metrics to be used across Operations (Rapid Transit) to track performance
    • Build relationships with stakeholders to maintain knowledge of issues affecting projects and to facilitate cooperation in the provision of data for report preparation
    • Identify opportunities to develop new data collection and reporting processes
    • Engage with partners and represent the department by participating in reporting meetings


    What Skills and Qualifications Do I Need?

    • Completion of a degree in Computer Science, Data Science, Economics, Engineering, Mathematics, Statistics, or a combination of education, training and experience deemed to be equivalent
    • Experience with reporting visualization tools Power BI (preferred), Tableau, Qlik Sense, etc.
    • Data collection/management techniques (ETL) and the development/interpretation of data to determine requirements, retrieve, analyze and deliver insights and recommendations
    • Data quality assurance processes, methodology and tools, quality assurance testing and implementation methods and practices to ensure the integrity of data
    • Creativity to determine format of dashboards and to translate a range of diverse data/information into actionable results that support internal and external requirements
    • Demonstrated ability to evaluate data and present data that drive improvements
    • Experience communicating analytic methodology to non-technical audience
    • Excellent verbal and written communication skills to draft reports, analyze information and present information to various audiences


    Don’t Meet Every Requirement?

    If you’re excited about working with Metrolinx but your past experience doesn’t quite align with every qualification of this posting, we encourage you to apply. You just might be the right candidate for this or other roles. We are always looking for great talent to join our team.

    We invite all interested individuals to apply and encourage applications from members of equity-deserving communities, including those who identify as Indigenous, Black, racialized, women, people with disabilities, and people with diverse gender identities, expressions and sexual orientations.

    Accommodation

    We value the unique skills and experiences each person brings to Metrolinx and are committed to creating and maintaining an inclusive and accessible environment. We are committed to the requirements of the Accessibility for Ontarians with Disabilities Act so if you require accommodation during the hiring process, please let our Recruitment team know by contacting us at: 416-202-5601 or email hr.recruitment@metrolinx.com .

    Application Process

    All applicants must be legally entitled to work in Canada. Metrolinx will be using email to communicate with you for all job competitions. It is your responsibility to include an updated email address that is checked daily and accepts emails from unknown users. As we send time-sensitive correspondence, we recommend that you check your email regularly. If no response is received, we will assume you are no longer interested in pursuing the opportunity. Please be advised that a Criminal Record Check may be required of the successful candidate.

    For Internal applicants, with the recent implementation of the Internal Mobility Policy, the internal recruitment process has changed for non-union roles. Candidates must be in their current role for 12 months prior to applying for another role and each applicant must be in good standing (not participating in a Performance Improvement Plan). Please review all provisions of the policy before submitting your application.

    Should it be determined that any background information provided is misleading, inaccurate or incorrect, Metrolinx reserves the right to discontinue with the consideration of your application.

    We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

    WE ARE AN EQUITABLE AND INCLUSIVE EMPLOYER. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3986704090,https://ca.linkedin.com/jobs/view/admin-data-analyst-at-aventas-3986704090?position=10&pageNum=5&refId=WxFLiI91Ju6fTD5dwVeq3Q%3D%3D&trackingId=RbSAL%2By9xS5jeutoIARuvA%3D%3D&trk=public_jobs_jserp-result_search-card,Admin & Data Analyst,Aventas,"Etobicoke, Ontario, Canada","Aventas is a sales and marketing company located in Etobicoke, ON. Our mission is to help brands unleash their unique point of view and share it with the world in a way that builds lasting relationships with customers. We believe that building relationships is the most effective marketing strategy, and we strive to stay ahead of the constantly changing marketing landscape. + + + + +The ideal candidate will be someone who is a motivated self-starter, who wants to grow their career in data/administration. + + + + +Role Description + +This is a full-time on-site role for a Data Analyst and Admin at Aventas. The Data Analyst and Admin will be responsible for conducting data analysis, implementing statistical models, and communicating insights to the team. They will also be responsible for data modeling and providing administrative support to the team. + + + + +20$/Hour during 90 day probationary period +$45k Salary + Bonuses after probationary period +Quarterly incentives +Opportunities to grow into management roles +Travel opportunities - if qualified (Mexico in Oct, Bahamas in Nov) + + + + +Take a look at us on our website or social media! + + + + +Responsibilities + +Manage CRM +Understand and utilize different systems to construct and visualize data +Coordinating between different departments +Onboarding new hires +Data entry +Completing background checks +Administrative tasks +Assist in Payroll +Manage supplies +Assist in day-to-day operations of the office +Joining calls to learn and develop themselves in the roll + + + + +HAVE FUN while doing the above ! + + + + +Desired Skills and Experience + +Must be extremely organized ! +Strong interpersonal skills, outstanding work ethic +impressive and professional image and demeanor +Intermediate/Advanced MS Excel skills +Participate in extra-curricular team events (company paid for) +Self-starter who is career driven + + + + +Priority will be given to candidates who have the following: + +Bachelor's degree in relevant field +Customer service/sales experience +Other complimentary skills such as but not exclusive to: Event planning, Website development, HR, Recruiting. + + + + +Before applying check us out online to see what our culture is like ! + + + + +www.aventasinc.ca + +www.instagram.com/aventasinc + + + + +If you are an ambitious and driven individual who is willing to learn and grow with the company long term, please reply to this ad with a copy of your most recent resume. + + + + +Local candidates only. International candidates who reside out of the country will not be contacted. Please refrain from applying if you do not meet all of the mandatory qualifications. Due to a large volume of responses, only qualified candidates will be contacted. + +Show more ","
    + + + + + +
    +
    +

    Aventas is a sales and marketing company located in Etobicoke, ON. Our mission is to help brands unleash their unique point of view and share it with the world in a way that builds lasting relationships with customers. We believe that building relationships is the most effective marketing strategy, and we strive to stay ahead of the constantly changing marketing landscape.


    The ideal candidate will be someone who is a motivated self-starter, who wants to grow their career in data/administration.


    Role Description

    This is a full-time on-site role for a Data Analyst and Admin at Aventas. The Data Analyst and Admin will be responsible for conducting data analysis, implementing statistical models, and communicating insights to the team. They will also be responsible for data modeling and providing administrative support to the team.


    • 20$/Hour during 90 day probationary period
    • $45k Salary + Bonuses after probationary period
    • Quarterly incentives
    • Opportunities to grow into management roles
    • Travel opportunities - if qualified (Mexico in Oct, Bahamas in Nov)


    Take a look at us on our website or social media!


    Responsibilities

    • Manage CRM
    • Understand and utilize different systems to construct and visualize data
    • Coordinating between different departments
    • Onboarding new hires
    • Data entry
    • Completing background checks
    • Administrative tasks
    • Assist in Payroll
    • Manage supplies
    • Assist in day-to-day operations of the office
    • Joining calls to learn and develop themselves in the roll


    • HAVE FUN while doing the above !


    Desired Skills and Experience

    • Must be extremely organized !
    • Strong interpersonal skills, outstanding work ethic
    • impressive and professional image and demeanor
    • Intermediate/Advanced MS Excel skills
    • Participate in extra-curricular team events (company paid for)
    • Self-starter who is career driven


    Priority will be given to candidates who have the following:

    • Bachelor's degree in relevant field
    • Customer service/sales experience
    • Other complimentary skills such as but not exclusive to: Event planning, Website development, HR, Recruiting.


    Before applying check us out online to see what our culture is like !


    www.aventasinc.ca

    www.instagram.com/aventasinc


    If you are an ambitious and driven individual who is willing to learn and grow with the company long term, please reply to this ad with a copy of your most recent resume.


    Local candidates only. International candidates who reside out of the country will not be contacted. Please refrain from applying if you do not meet all of the mandatory qualifications. Due to a large volume of responses, only qualified candidates will be contacted.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +4005677440,https://ca.linkedin.com/jobs/view/data-analyst-at-co-operators-4005677440?position=1&pageNum=7&refId=JdvyqUgmfOwXdevxqV%2F9LA%3D%3D&trackingId=iDxNwYAPYZ9aQyb6WkDl%2Fg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Co-operators,"Guelph, Ontario, Canada","Company: CGL + +Department: IT + +Employment Type: Regular Full-Time + +Work Model: Hybrid + +Language: This role operates in English. + +The Opportunity + +We are a leading Canadian financial services Co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities. + +Our Information Technology team aspires to be a leader in applying technology to power business strategies. We connect concepts with solutions to create value and efficiencies for our clients, employees, and communities. Our success is driven by our skilled and diverse team + +As the Data Analyst, you will design and implement the data related-elements of technology solutions, including data models, physical database designs, and meta-data management. You will analyze abstract, complex problems and effectively communicate with the business and Information Technology (IT) regarding data design, usage, and management to provide project and operations support. You will focus on business intelligence solutions and provide input into the strategic elements of an overall Enterprise Data Management (EDM) strategy. + +How You Will Create Impact + + +Building logical and physical data models and collaborating with business partners to meet data requirements. +Validating data flow through implemented data models from source to target and ensuring all data requirements are delivered. +Performing root cause analysis to determine cause of data defects and recommending solutions for resolution. +Collaborating with the Senior Manager to create, maintain, and manage meta-data for an entity. +Capturing and documenting business definitions and terms using the appropriate tools and methods. +Contributing to the development and maintenance of the enterprise architecture for information and data, and EDM strategy. + + + +How You Will Succeed + + +You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.   +You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions. +You have strong communication skills to clearly convey messages and explore diverse points of view.  +You build trusting relationships and provide guidance to support the development of colleagues. + + + +To Join Our Team + + +You have three years of experience working in database systems or a related field, and have significant experience in complex relational data modeling, database design, database platforms, and modeling tools. +You have a post-secondary degree in Commerce, Information Technology or Computer Science. +You have working knowledge of Extract, Transform and Loading (ETL) processes, as well as data warehouse and data mart principles and best practices. +Having dimensional data modelling experience is an asset. +Data visualization is an asset. + + + +What You Need To Know + + +You will be subject to a Background check as a condition of employment, in the event you are the successful candidate. + + + +What’s in it for you? + + +Training and development opportunities to grow your career. +Flexible work options and paid time off to support your personal and family needs. +A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture. +Paid volunteer days to give back to your community. +In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program. +Show more ","
    + + + + + +
    +
    + Company: CGL

    Department: IT

    Employment Type: Regular Full-Time

    Work Model: Hybrid

    Language: This role operates in English.

    The Opportunity

    We are a leading Canadian financial services Co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities.

    Our Information Technology team aspires to be a leader in applying technology to power business strategies. We connect concepts with solutions to create value and efficiencies for our clients, employees, and communities. Our success is driven by our skilled and diverse team

    As the Data Analyst, you will design and implement the data related-elements of technology solutions, including data models, physical database designs, and meta-data management. You will analyze abstract, complex problems and effectively communicate with the business and Information Technology (IT) regarding data design, usage, and management to provide project and operations support. You will focus on business intelligence solutions and provide input into the strategic elements of an overall Enterprise Data Management (EDM) strategy.

    How You Will Create Impact

    • Building logical and physical data models and collaborating with business partners to meet data requirements.
    • Validating data flow through implemented data models from source to target and ensuring all data requirements are delivered.
    • Performing root cause analysis to determine cause of data defects and recommending solutions for resolution.
    • Collaborating with the Senior Manager to create, maintain, and manage meta-data for an entity.
    • Capturing and documenting business definitions and terms using the appropriate tools and methods.
    • Contributing to the development and maintenance of the enterprise architecture for information and data, and EDM strategy.


    How You Will Succeed

    • You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.  
    • You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
    • You have strong communication skills to clearly convey messages and explore diverse points of view. 
    • You build trusting relationships and provide guidance to support the development of colleagues.


    To Join Our Team

    • You have three years of experience working in database systems or a related field, and have significant experience in complex relational data modeling, database design, database platforms, and modeling tools.
    • You have a post-secondary degree in Commerce, Information Technology or Computer Science.
    • You have working knowledge of Extract, Transform and Loading (ETL) processes, as well as data warehouse and data mart principles and best practices.
    • Having dimensional data modelling experience is an asset.
    • Data visualization is an asset.


    What You Need To Know

    • You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.


    What’s in it for you?

    • Training and development opportunities to grow your career.
    • Flexible work options and paid time off to support your personal and family needs.
    • A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
    • Paid volunteer days to give back to your community.
    • In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4004707433,https://ca.linkedin.com/jobs/view/data-governance-analyst-at-tata-consultancy-services-4004707433?position=3&pageNum=7&refId=JdvyqUgmfOwXdevxqV%2F9LA%3D%3D&trackingId=tPqGy%2B463WwGiAthQwyVzw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Governance Analyst,Tata Consultancy Services,"Toronto, Ontario, Canada","About TCS: + + + + +TCS operates on a global scale, with a diverse talent base of more than 600,000 associates representing 153 nationalities across 55 countries. TCS has been recognized as a Global Top Employer by the Top Employers Institute - one of only eight companies worldwide to have achieved this status. Our organizational structure is domain-led and designed to offer businesses a single window into industry-specific solutions. Our agile industry units have embedded capabilities to enable rapid responses that provide a competitive edge to our customers. This, coupled with a unique Global Network Delivery Model™ (GNDM™), is recognized as the current benchmark of excellence in technology deployment. We have made significant investments in digital technology, horizontal, and vertical platforms, allowing us to successfully serve our clients for over 50 years. + + + + +Skills and Responsibilities: + +•Understanding of data governance principles. + +•Attention to detail. + +•Time management + +•Handling ambiguous information. + +•Analyzing and problem solving, + +•Metadata analysis and tagging, workflows, connectors, data vocabulary/business glossary + +•Microsoft products excel, Purview and using minimal SQL coding via Databricks to assist with developing regular expressions. + +•Utilizing Collibra or other data governance toolset + +•Presentation skills and ability to communicate technical details to a business user + +•Monitoring and testing functionalities and environments + +•Data governance and stewardship experience + +•Data controls and risk + +•Knowledge and experience in data cataloging using Collibra and Purview + +•Reporting skills and monitoring, vision diagrams, etc. + +•Writing skills for procedures, documentations, etc. + +Roles and Responsibilities: + +•Using Microsoft Purview Data Catalog Portal, work with the team to create a POC that aligns to the metadata strategy and establishing the cataloging/business glossary, tagging, metadata, necessary to meet the standard by working with the business stakeholders. + +•Cataloging activities include reviewing applied classifications to a data element within Purview Data Catalog, applies sensitivity labels to a data element or data asset to adhere to Canada Life + +•Data Policy, Information classification and handling standard, and Privacy guidelines. Align the data elements to Canada Life + +•Information Model for personal information. o Expansion of business glossary in publication + +•Tagging Sensitivity levels as applicable Privacy guidelines, (example, Personal information sensitivity) Data classification as applicable by Information Data elements criticality + +•Metadata Technical metadata Business metadata Operational metadata Deliverables: Project support. + +•Initiatives to support: Project supporting data migration: CDP across CL Lobs. Data Governance Controls documentation, reporting, process improvement. CDP work from Metadata PoC. New team to support operations new AU work). The current team is currently assigned to a project (process control etc.). The new team must support data access, data controls, consultation etc. + + + + +Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource. + + + + +Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile. + +Show more ","
    + + + + + +
    +
    +

    About TCS:


    TCS operates on a global scale, with a diverse talent base of more than 600,000 associates representing 153 nationalities across 55 countries. TCS has been recognized as a Global Top Employer by the Top Employers Institute - one of only eight companies worldwide to have achieved this status. Our organizational structure is domain-led and designed to offer businesses a single window into industry-specific solutions. Our agile industry units have embedded capabilities to enable rapid responses that provide a competitive edge to our customers. This, coupled with a unique Global Network Delivery Model™ (GNDM™), is recognized as the current benchmark of excellence in technology deployment. We have made significant investments in digital technology, horizontal, and vertical platforms, allowing us to successfully serve our clients for over 50 years.


    Skills and Responsibilities:

    •Understanding of data governance principles.

    •Attention to detail.

    •Time management

    •Handling ambiguous information.

    •Analyzing and problem solving,

    •Metadata analysis and tagging, workflows, connectors, data vocabulary/business glossary

    •Microsoft products excel, Purview and using minimal SQL coding via Databricks to assist with developing regular expressions.

    •Utilizing Collibra or other data governance toolset

    •Presentation skills and ability to communicate technical details to a business user

    •Monitoring and testing functionalities and environments

    •Data governance and stewardship experience

    •Data controls and risk

    •Knowledge and experience in data cataloging using Collibra and Purview

    •Reporting skills and monitoring, vision diagrams, etc.

    •Writing skills for procedures, documentations, etc.

    Roles and Responsibilities:

    •Using Microsoft Purview Data Catalog Portal, work with the team to create a POC that aligns to the metadata strategy and establishing the cataloging/business glossary, tagging, metadata, necessary to meet the standard by working with the business stakeholders.

    •Cataloging activities include reviewing applied classifications to a data element within Purview Data Catalog, applies sensitivity labels to a data element or data asset to adhere to Canada Life

    •Data Policy, Information classification and handling standard, and Privacy guidelines. Align the data elements to Canada Life

    •Information Model for personal information. o Expansion of business glossary in publication

    •Tagging Sensitivity levels as applicable Privacy guidelines, (example, Personal information sensitivity) Data classification as applicable by Information Data elements criticality

    •Metadata Technical metadata Business metadata Operational metadata Deliverables: Project support.

    •Initiatives to support: Project supporting data migration: CDP across CL Lobs. Data Governance Controls documentation, reporting, process improvement. CDP work from Metadata PoC. New team to support operations new AU work). The current team is currently assigned to a project (process control etc.). The new team must support data access, data controls, consultation etc.


    Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource.


    Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4006465879,https://ca.linkedin.com/jobs/view/data-analyst-aws-tableau-at-randstad-canada-4006465879?position=4&pageNum=7&refId=JdvyqUgmfOwXdevxqV%2F9LA%3D%3D&trackingId=3N895zba%2B5osn78tAdzlgA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - AWS / Tableau,Randstad Canada,"Toronto, Ontario, Canada","Are you a Data Analyst looking for a new opportunity? + +Are you looking for a new contract opportunity? + +We are pleased to offer you a new contract opportunity for you to consider: Data Analyst + + +Start: ASAP +Estimated length: 9 months +Location: Toronto +Remote role. + + +Actively seeking for candidates with below requirements. + +Advantages + +You will have an opportunity to work with a leading employer in the local market. + +Responsibilities + + +Liaise directly with our key stakeholders to understand business needs and provide suitable analytical solutions. +Enhance our suite of reports to align with modern tools and data practices. +Develop continuous improvement solutions to automate, consolidate, or discontinue processes, with a focus on business value & efficiency. +Build robust documentation practices across all analytical products. +Manage multiple simultaneous data analytics/ Automation projects within assigned time and budget. +Comply fully with all privacy, confidentiality, do not contact, SLF Code of Business Conduct, data security, SLF End User Computing and other requirements related to customer data + + +Qualifications + + +Ability to liaise with internal stakeholders and adapt the approach when dealing with technical and non-technical audiences. +Self-directed and proactive; thinking beyond the immediate problem with ability to analyze situations/problems systematically and deliver effective right-sized solutions in a timely manner. +Ability to manage In-depth prioritization, planning, and change management processes to stay within time/scope of a task in a fast-paced environment. +Proven problem-solving skills with the ability to break down high-level data into easily communicated information. +Strong analytical skills and business acumen with an eye for detail and accuracy + + +What you will need to succeed: + + +2 - 3 years’ experience in a Data Analyst or Performance Analyst role +2 - 3 years of experience in Python/R/SAS for developing analytics led solutions. +2 - 3 years’ experience working with visualization tools e.g. Tableau. +Advanced Microsoft Word, PowerPoint, Excel, Access, Visual Basic +Proven ability to help drive large and strategic projects from concept to implementation that span multiple systems and business processes. +Strong understanding of data management principles, best practices, and data governance +Excellent communication skills to drive a data-driven culture and lead cross-functional initiatives. +Superior organizational skills, including process management to support workflow improvements. +Undergraduate in Business, Statistics, Computer Science (or equivalent university degree or college diploma) +Past experience in life insurance/wealth management, or other financial services industry is an asset (e.g., retail banking, credit card, property and casualty insurance) + + +Summary + +Do you have this experience? If you answer YES, then please apply IMMEDIATELY to so we can then discuss your experience and interest in this opportunity! + +Randstad Technologies Group + +Canada's largest provider of IT Staffing Solutions, offering hundreds of permanent and contract opportunities across all roles, levels and platforms. Our Web-based tools help you see and apply for jobs matched automatically to your skills and preferences. When you're ready to interview we meet with you in person to help you build the technology career path you've always wanted. Visit www.randstad.ca to get started! + +Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community. + +Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process. + + +Show more ","
    + + + + + +
    +
    + Are you a Data Analyst looking for a new opportunity?

    Are you looking for a new contract opportunity?

    We are pleased to offer you a new contract opportunity for you to consider: Data Analyst

    • Start: ASAP
    • Estimated length: 9 months
    • Location: Toronto
    • Remote role.

    Actively seeking for candidates with below requirements.

    Advantages

    You will have an opportunity to work with a leading employer in the local market.

    Responsibilities

    • Liaise directly with our key stakeholders to understand business needs and provide suitable analytical solutions.
    • Enhance our suite of reports to align with modern tools and data practices.
    • Develop continuous improvement solutions to automate, consolidate, or discontinue processes, with a focus on business value & efficiency.
    • Build robust documentation practices across all analytical products.
    • Manage multiple simultaneous data analytics/ Automation projects within assigned time and budget.
    • Comply fully with all privacy, confidentiality, do not contact, SLF Code of Business Conduct, data security, SLF End User Computing and other requirements related to customer data

    Qualifications

    • Ability to liaise with internal stakeholders and adapt the approach when dealing with technical and non-technical audiences.
    • Self-directed and proactive; thinking beyond the immediate problem with ability to analyze situations/problems systematically and deliver effective right-sized solutions in a timely manner.
    • Ability to manage In-depth prioritization, planning, and change management processes to stay within time/scope of a task in a fast-paced environment.
    • Proven problem-solving skills with the ability to break down high-level data into easily communicated information.
    • Strong analytical skills and business acumen with an eye for detail and accuracy

    What you will need to succeed:

    • 2 - 3 years’ experience in a Data Analyst or Performance Analyst role
    • 2 - 3 years of experience in Python/R/SAS for developing analytics led solutions.
    • 2 - 3 years’ experience working with visualization tools e.g. Tableau.
    • Advanced Microsoft Word, PowerPoint, Excel, Access, Visual Basic
    • Proven ability to help drive large and strategic projects from concept to implementation that span multiple systems and business processes.
    • Strong understanding of data management principles, best practices, and data governance
    • Excellent communication skills to drive a data-driven culture and lead cross-functional initiatives.
    • Superior organizational skills, including process management to support workflow improvements.
    • Undergraduate in Business, Statistics, Computer Science (or equivalent university degree or college diploma)
    • Past experience in life insurance/wealth management, or other financial services industry is an asset (e.g., retail banking, credit card, property and casualty insurance)

    Summary

    Do you have this experience? If you answer YES, then please apply IMMEDIATELY to so we can then discuss your experience and interest in this opportunity!

    Randstad Technologies Group

    Canada's largest provider of IT Staffing Solutions, offering hundreds of permanent and contract opportunities across all roles, levels and platforms. Our Web-based tools help you see and apply for jobs matched automatically to your skills and preferences. When you're ready to interview we meet with you in person to help you build the technology career path you've always wanted. Visit www.randstad.ca to get started!

    Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

    Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +3999078317,https://ca.linkedin.com/jobs/view/data-analyst-full-time-contract-15-months-at-startech-com-3999078317?position=6&pageNum=7&refId=JdvyqUgmfOwXdevxqV%2F9LA%3D%3D&trackingId=cuKDCTXCN3Qwl2ofkXALdA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (Full-time Contract - 15 months),StarTech.com,"London, Ontario, Canada","Join our team as a Data Analyst and become a key contributor in shaping the future of our business! Reporting directly to the Manager, Analytics, you'll dive deep into critical business areas, uncovering insights that drive impactful decisions. Your analyses will be instrumental in assessing and enhancing the success of our strategic initiatives. + + + + +But that’s not all! You’ll collaborate with dynamic cross-functional teams, ensuring smooth communication and synergy as we implement transformative strategies. If you’re passionate about turning data into actionable insights and thrive in a collaborative environment, this is the perfect opportunity for you. + + + + +What you will be responsible for: + +Analyzing and reporting key business metrics to evaluate strategy success. +Providing insights for strategic improvements. +Working with various teams to ensure strategy adjustments are communicated effectively. +Using data to drive continuous improvement. +Building data models and providing summary statistics using analytics tools. +Learning and using BI software for reporting and visualizations. +Supporting business information needs through collaboration. +Clearly presenting summary outputs to all organizational levels. + + + + +Essential Qualifications: + +Bachelor's degree in Mathematics, Business, Statistics, Technology, or equivalent experience. +2+ years of experience as a Data Analyst or Business Data Analyst with large data sets. +Strong knowledge of and experience with Power Query and Power BI. +Intermediate to Advanced Excel skills. +Intermediate level Python or R. +Intermediate level SQL. +Proficiency in cleaning, compiling, and mining large data sets, and creating reports. +Strong critical thinking and analytical skills to organize and understand complex data. +Adept at creating queries, reporting, summarizing and presenting findings. +Strong attention to detail. +Ability to communicate analytic results in a clear and concise manner. +Excellent collaboration and communication skills. +Quick learner, passionate about continuous learning and improvement, consistently seeking ways to streamline and automate their tasks + + + + +Preferred Qualifications: + +Master’s degree in Analytics. + + + + +Benefits & Perks: + +Comprehensive Benefit Plan +Competitive Vacation Policy +Regular company fun events +StarTech.com Product Discount + + + + +About us + +We are in the business of human-centered experiences starting with yours. We believe delivering on our promise of ""hard-to-find, made easy"" begins with an employee experience founded in opportunity, teamwork, empowerment, and curious minds always asking what if. Not only does our commitment to the exceptional deepen relationships with our partners and customers, it also ignites connection within our team. + + + + +Born and raised in London, Ontario, Canada and now taking on the world, we are a vibrant and growing tech company with a proven track-record of success. StarTech.com makes it easy for IT professionals around the globe to identify, find, get and use the hard-to-find connectivity parts they need to enable and enhance their technology solutions. + + + + +Operating in 26 countries globally, we are proud to be included as one of Canada's Best Managed Companies for 2024 and for the 14th consecutive year. In 2022, StarTech.com was proud to be included in Financial Post's FP500, a ranking of Canada's largest corporations based on revenue. We are honoured to be named by Kincentric in 2019 as one of Canada’s “Best Employers” as well as “one of Canada’s fastest growing companies” for a ninth year in a row by “Profit 500”. + + + + +StarTech.com is an Equal Opportunity Employer. In accordance with the Accessibility for Ontarians with Disabilities Act, 2005 and the Ontario Human Rights Code, StarTech.com will provide accommodations throughout the recruitment, selection and/or assessment process to applicants with disabilities. If selected to participate in the recruitment, selection and/or assessment process, please inform Human Resources of the nature of any accommodation(s) that you may require in respect of any materials or processes used to ensure your equal participation. + +Show more ","
    + + + + + +
    +
    +

    Join our team as a Data Analyst and become a key contributor in shaping the future of our business! Reporting directly to the Manager, Analytics, you'll dive deep into critical business areas, uncovering insights that drive impactful decisions. Your analyses will be instrumental in assessing and enhancing the success of our strategic initiatives.


    But that’s not all! You’ll collaborate with dynamic cross-functional teams, ensuring smooth communication and synergy as we implement transformative strategies. If you’re passionate about turning data into actionable insights and thrive in a collaborative environment, this is the perfect opportunity for you.


    What you will be responsible for:

    • Analyzing and reporting key business metrics to evaluate strategy success.
    • Providing insights for strategic improvements.
    • Working with various teams to ensure strategy adjustments are communicated effectively.
    • Using data to drive continuous improvement.
    • Building data models and providing summary statistics using analytics tools.
    • Learning and using BI software for reporting and visualizations.
    • Supporting business information needs through collaboration.
    • Clearly presenting summary outputs to all organizational levels.


    Essential Qualifications:

    • Bachelor's degree in Mathematics, Business, Statistics, Technology, or equivalent experience.
    • 2+ years of experience as a Data Analyst or Business Data Analyst with large data sets.
    • Strong knowledge of and experience with Power Query and Power BI.
    • Intermediate to Advanced Excel skills.
    • Intermediate level Python or R.
    • Intermediate level SQL.
    • Proficiency in cleaning, compiling, and mining large data sets, and creating reports.
    • Strong critical thinking and analytical skills to organize and understand complex data.
    • Adept at creating queries, reporting, summarizing and presenting findings.
    • Strong attention to detail.
    • Ability to communicate analytic results in a clear and concise manner.
    • Excellent collaboration and communication skills.
    • Quick learner, passionate about continuous learning and improvement, consistently seeking ways to streamline and automate their tasks


    Preferred Qualifications:

    • Master’s degree in Analytics.


    Benefits & Perks:

    • Comprehensive Benefit Plan
    • Competitive Vacation Policy
    • Regular company fun events
    • StarTech.com Product Discount


    About us

    We are in the business of human-centered experiences starting with yours. We believe delivering on our promise of ""hard-to-find, made easy"" begins with an employee experience founded in opportunity, teamwork, empowerment, and curious minds always asking what if. Not only does our commitment to the exceptional deepen relationships with our partners and customers, it also ignites connection within our team.


    Born and raised in London, Ontario, Canada and now taking on the world, we are a vibrant and growing tech company with a proven track-record of success. StarTech.com makes it easy for IT professionals around the globe to identify, find, get and use the hard-to-find connectivity parts they need to enable and enhance their technology solutions.


    Operating in 26 countries globally, we are proud to be included as one of Canada's Best Managed Companies for 2024 and for the 14th consecutive year. In 2022, StarTech.com was proud to be included in Financial Post's FP500, a ranking of Canada's largest corporations based on revenue. We are honoured to be named by Kincentric in 2019 as one of Canada’s “Best Employers” as well as “one of Canada’s fastest growing companies” for a ninth year in a row by “Profit 500”.


    StarTech.com is an Equal Opportunity Employer. In accordance with the Accessibility for Ontarians with Disabilities Act, 2005 and the Ontario Human Rights Code, StarTech.com will provide accommodations throughout the recruitment, selection and/or assessment process to applicants with disabilities. If selected to participate in the recruitment, selection and/or assessment process, please inform Human Resources of the nature of any accommodation(s) that you may require in respect of any materials or processes used to ensure your equal participation.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +4001485574,https://ca.linkedin.com/jobs/view/data-analyst-analyste-de-donn%C3%A9es-at-data-sciences-4001485574?position=7&pageNum=7&refId=JdvyqUgmfOwXdevxqV%2F9LA%3D%3D&trackingId=hoe6%2BN2ObXpOurzx%2Bqu8zQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst | Analyste de données,Data Sciences,"Montreal, Quebec, Canada","Summary + +We are looking for a Data Analyst to join our diverse and rapidly growing team in Montreal. The successful applicant will be responsible for leveraging client data to produce rapid insights through automated reporting and custom analytics. We are looking for individuals from a wide range of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work and on-the-job excellence. The ideal candidate is someone who is highly motivated and who seeks to take on a challenging role. We need someone who can work effectively with members of our data, analytics and digital teams to deliver data-driven products to organizations. + + + + +Job Duties + +Translate a client’s overarching business objectives into requirements and then into discrete projects that aim to provide insight and/or generate efficiencies. +Access, understand, query, and transform data from a large variety of data sources, each with its own set of intricacies. +Design, develop, and deploy custom automated reporting solutions with the goal of providing clients with rapid, actionable insights. +Design and coordinate experimental protocols in multiple departments to identify strategic efficiencies +Communicate insights and methodologies clearly and succinctly to both technical and lay audiences.  +Special projects, and other duties as required. + + + + +Requirements + +Strong problem solving skills +2 years experience writing complex SQL queries to transform and extract data from relational databases or data warehouses. +Experience writing R and/or Python code aimed at manipulating and analyzing large datasets. +Understanding of statistical principles. +Excellent written and verbal communication skills; ability to coordinate across teams. French-English bilingualism is an asset. + + + + +About DS + +We are a different type of agency. We bring together art and science to understand how audiences behave and predict how to best engage them. + + + + +We combine sound data management, advanced analytics, machine learning and AI, and cutting-edge digital engagement strategies to better measure audience intent, communicate efficiently, and produce measurable results with the power to shift public perception. + + + + +Our team’s cutting-edge expertise is leveraged by corporate clients in complex business environments, international NGOs, and major political parties (both in Canada and around the world). + + + + +Since opening in 2015, we have built an incredible, bilingual team headquartered in AI-hub Montreal. We offer a competitive health package, a start-up office space and the opportunity to join a growing, multi-disciplinary team with lots of growth opportunities. + + + + +Salary: 70K-90K + + + + +----------------------------------------- + +Résumé + +Nous sommes à la recherche d'un(e) analyste de données qui rejoindra notre équipe diversifiée et en pleine croissance à Montréal. La personne retenue sera responsable de l'exploitation des données des clients afin de produire des rapports automatisés et des analyses personnalisées. Cette personne a de l'expérience dans la manipulation de grands ensembles de données, souvent complexes, structurés et non structurés. Nous recherchons des personnes d'horizons divers ayant des compétences démontrées en matière de résolution de problèmes et de méthodes quantitatives. Nous valorisons la créativité, le travail acharné et l’excellence au travail. La personne idéale est très motivée, soucieuse des détails, curieuse et peut travailler efficacement avec les membres de nos équipes d'ingénierie des données, de recherche et de numérique. + + + + +Responsabilités + +Interpréter les objectifs commerciaux globaux du client et les traduire en exigences visant à fournir un aperçu et/ou à générer des gains d'efficacité. +Accéder, comprendre, interroger et transformer des données provenant d’une grande variété de sources de données, chacune avec son propre ensemble de subtilités. +Concevoir, développer et déployer des rapports automatisés sur mesure dans le but de fournir aux clients des informations rapides et exploitables. +Concevoir et coordonner des protocoles expérimentaux dans plusieurs départements afin d'identifier les gains d'efficacité stratégiques. +Communiquer des idées et des méthodologies de manière claire et succincte à un public technique et profane.  +Participer à des projets spéciaux et autres tâches selon les besoins. + + + + +Compétences requises + +De solides compétences en matière de résolution de problèmes +2 ans d'expérience de la rédaction de requêtes SQL complexes pour transformer et extraire des données de bases de données relationnelles ou d'entrepôts de données. +La maîtrise du python ou de R afin de manipuler et analyzer de grands ensembles de données. +Connaissance de techniques et de concepts statistiques +Excellentes aptitudes à la communication écrite et verbale ; capacité à coordonner des équipes. Être bilingue est un atout. + + + + +À propos de DS + +Nous sommes une agence différente. Nous conjuguons art et science pour comprendre comment un auditoire réagit et prédire la meilleure manière de le rejoindre efficacement. + + + + +Nous combinons les meilleures pratiques en gestion de données, analytique avancée, intelligence artificielle et techniques de pointe en engagement numérique afin de mesurer les intentions d’un auditoire, de communiquer efficacement et de générer des effets tangibles pour faire évoluer les perceptions.   + + + + +L’expertise de pointe de notre équipe est renforcée par nos clients commerciaux qui œuvrent dans les environnements d’affaires complexes, dans des organismes à but non lucratif internationaux et pour des partis politiques majeurs à l’échelle nationale et internationale. + + + + +Depuis la création de l’entreprise en 2015, nous avons bâti une équipe bilingue incroyable et établi nos bureaux au cœur du quartier de l’intelligence artificielle à Montréal. Nous offrons des avantages sociaux concurrentiels, des bureaux dignes des entreprises en démarrage les plus novatrices et la chance de se joindre à une équipe multidisciplinaire en pleine croissance où les possibilités d’avancement abondent. + + + + +Salaire: 70K-90K + +Show more ","
    + + + + + +
    +
    +

    Summary

    We are looking for a Data Analyst to join our diverse and rapidly growing team in Montreal. The successful applicant will be responsible for leveraging client data to produce rapid insights through automated reporting and custom analytics. We are looking for individuals from a wide range of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work and on-the-job excellence. The ideal candidate is someone who is highly motivated and who seeks to take on a challenging role. We need someone who can work effectively with members of our data, analytics and digital teams to deliver data-driven products to organizations.


    Job Duties

    • Translate a client’s overarching business objectives into requirements and then into discrete projects that aim to provide insight and/or generate efficiencies.
    • Access, understand, query, and transform data from a large variety of data sources, each with its own set of intricacies.
    • Design, develop, and deploy custom automated reporting solutions with the goal of providing clients with rapid, actionable insights.
    • Design and coordinate experimental protocols in multiple departments to identify strategic efficiencies
    • Communicate insights and methodologies clearly and succinctly to both technical and lay audiences. 
    • Special projects, and other duties as required.


    Requirements

    • Strong problem solving skills
    • 2 years experience writing complex SQL queries to transform and extract data from relational databases or data warehouses.
    • Experience writing R and/or Python code aimed at manipulating and analyzing large datasets.
    • Understanding of statistical principles.
    • Excellent written and verbal communication skills; ability to coordinate across teams. French-English bilingualism is an asset.


    About DS

    We are a different type of agency. We bring together art and science to understand how audiences behave and predict how to best engage them.


    We combine sound data management, advanced analytics, machine learning and AI, and cutting-edge digital engagement strategies to better measure audience intent, communicate efficiently, and produce measurable results with the power to shift public perception.


    Our team’s cutting-edge expertise is leveraged by corporate clients in complex business environments, international NGOs, and major political parties (both in Canada and around the world).


    Since opening in 2015, we have built an incredible, bilingual team headquartered in AI-hub Montreal. We offer a competitive health package, a start-up office space and the opportunity to join a growing, multi-disciplinary team with lots of growth opportunities.


    Salary: 70K-90K


    -----------------------------------------

    Résumé

    Nous sommes à la recherche d'un(e) analyste de données qui rejoindra notre équipe diversifiée et en pleine croissance à Montréal. La personne retenue sera responsable de l'exploitation des données des clients afin de produire des rapports automatisés et des analyses personnalisées. Cette personne a de l'expérience dans la manipulation de grands ensembles de données, souvent complexes, structurés et non structurés. Nous recherchons des personnes d'horizons divers ayant des compétences démontrées en matière de résolution de problèmes et de méthodes quantitatives. Nous valorisons la créativité, le travail acharné et l’excellence au travail. La personne idéale est très motivée, soucieuse des détails, curieuse et peut travailler efficacement avec les membres de nos équipes d'ingénierie des données, de recherche et de numérique.


    Responsabilités

    • Interpréter les objectifs commerciaux globaux du client et les traduire en exigences visant à fournir un aperçu et/ou à générer des gains d'efficacité.
    • Accéder, comprendre, interroger et transformer des données provenant d’une grande variété de sources de données, chacune avec son propre ensemble de subtilités.
    • Concevoir, développer et déployer des rapports automatisés sur mesure dans le but de fournir aux clients des informations rapides et exploitables.
    • Concevoir et coordonner des protocoles expérimentaux dans plusieurs départements afin d'identifier les gains d'efficacité stratégiques.
    • Communiquer des idées et des méthodologies de manière claire et succincte à un public technique et profane. 
    • Participer à des projets spéciaux et autres tâches selon les besoins.


    Compétences requises

    • De solides compétences en matière de résolution de problèmes
    • 2 ans d'expérience de la rédaction de requêtes SQL complexes pour transformer et extraire des données de bases de données relationnelles ou d'entrepôts de données.
    • La maîtrise du python ou de R afin de manipuler et analyzer de grands ensembles de données.
    • Connaissance de techniques et de concepts statistiques
    • Excellentes aptitudes à la communication écrite et verbale ; capacité à coordonner des équipes. Être bilingue est un atout.


    À propos de DS

    Nous sommes une agence différente. Nous conjuguons art et science pour comprendre comment un auditoire réagit et prédire la meilleure manière de le rejoindre efficacement.


    Nous combinons les meilleures pratiques en gestion de données, analytique avancée, intelligence artificielle et techniques de pointe en engagement numérique afin de mesurer les intentions d’un auditoire, de communiquer efficacement et de générer des effets tangibles pour faire évoluer les perceptions.  


    L’expertise de pointe de notre équipe est renforcée par nos clients commerciaux qui œuvrent dans les environnements d’affaires complexes, dans des organismes à but non lucratif internationaux et pour des partis politiques majeurs à l’échelle nationale et internationale.


    Depuis la création de l’entreprise en 2015, nous avons bâti une équipe bilingue incroyable et établi nos bureaux au cœur du quartier de l’intelligence artificielle à Montréal. Nous offrons des avantages sociaux concurrentiels, des bureaux dignes des entreprises en démarrage les plus novatrices et la chance de se joindre à une équipe multidisciplinaire en pleine croissance où les possibilités d’avancement abondent.


    Salaire: 70K-90K

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4002853255,https://ca.linkedin.com/jobs/view/senior-data-analyst-at-akkodis-4002853255?position=8&pageNum=7&refId=JdvyqUgmfOwXdevxqV%2F9LA%3D%3D&trackingId=RRtRNOEyZXwtdPkZsGdKGg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,Akkodis,"Greater Toronto Area, Canada","Akkodis is seeking a Senior Data Analyst for a contract position with a client in Toronto Downtown ON (Hybrid). Ideally looking for strong experience with Collibra or IGC of data flows within a large enterprise. Experience in data models, data relationships, mapping lineage and business rules using IGC (Information Governance Console) and universal catalogue and developing dashboards in PowerBI and Tableau. would be an added asset preferred would be someone with Canadian Banking/Insurance experience. + + + + +Title - Senior Data Analyst (Collibra or IGC) + +Location- Toronto ON (Hybrid) Hybrid (minimum once a week) + +Contract + + + + +Candidate Must-Have Skills: + +1. 10+ years of working experience as a Data Analyst with a strong understanding of data concepts (metadata, data mapping, data quality, data modeling, data governance). + +2. Hands-on experience working within Data Management and Operations, including proficiency in Data Management Tools (Collibra and IGC preferred) and understanding of data flows within a large enterprise. + +3. Working knowledge of Data Management framework and can trace data elements at origination and as they move between systems including any transformations. + +4. Working knowledge of data models, data relationships, mapping lineage and business rules using IGC (Information Governance Console) and universal catalogue. + +5. Hands-on experience with developing dashboards in PowerBI and Tableau. + + + + +Nice-To-Have Skills: + +Strong business acumen, data analysis, metadata documentation, and data quality controls skills specifically with respect to analyzing business process controls, sourcing, and provisioning of lineage, identifying data quality issues and proposing remediation steps.• Understanding of Banks systems i.e. ALM6, IGC, GC. + +• Demonstrated ability to provide evidence to 2nd and 3rd line. + +• Understanding or experience with Treasury. + +• Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services). + +Show more ","
    + + + + + +
    +
    +

    Akkodis is seeking a Senior Data Analyst for a contract position with a client in Toronto Downtown ON (Hybrid). Ideally looking for strong experience with Collibra or IGC of data flows within a large enterprise. Experience in data models, data relationships, mapping lineage and business rules using IGC (Information Governance Console) and universal catalogue and developing dashboards in PowerBI and Tableau. would be an added asset preferred would be someone with Canadian Banking/Insurance experience.


    Title - Senior Data Analyst (Collibra or IGC)

    Location- Toronto ON (Hybrid) Hybrid (minimum once a week)

    Contract


    Candidate Must-Have Skills:

    1. 10+ years of working experience as a Data Analyst with a strong understanding of data concepts (metadata, data mapping, data quality, data modeling, data governance).

    2. Hands-on experience working within Data Management and Operations, including proficiency in Data Management Tools (Collibra and IGC preferred) and understanding of data flows within a large enterprise.

    3. Working knowledge of Data Management framework and can trace data elements at origination and as they move between systems including any transformations.

    4. Working knowledge of data models, data relationships, mapping lineage and business rules using IGC (Information Governance Console) and universal catalogue.

    5. Hands-on experience with developing dashboards in PowerBI and Tableau.


    Nice-To-Have Skills:

    Strong business acumen, data analysis, metadata documentation, and data quality controls skills specifically with respect to analyzing business process controls, sourcing, and provisioning of lineage, identifying data quality issues and proposing remediation steps.• Understanding of Banks systems i.e. ALM6, IGC, GC.

    • Demonstrated ability to provide evidence to 2nd and 3rd line.

    • Understanding or experience with Treasury.

    • Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services).

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4005675572,https://ca.linkedin.com/jobs/view/data-analyst-at-co-operators-4005675572?position=9&pageNum=7&refId=JdvyqUgmfOwXdevxqV%2F9LA%3D%3D&trackingId=CPTA1C6Dr9ja2ekek5kpqA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Co-operators,"Calgary, Alberta, Canada","Company: CGL + +Department: IT + +Employment Type: Regular Full-Time + +Work Model: Hybrid + +Language: This role operates in English. + +The Opportunity + +We are a leading Canadian financial services Co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities. + +Our Information Technology team aspires to be a leader in applying technology to power business strategies. We connect concepts with solutions to create value and efficiencies for our clients, employees, and communities. Our success is driven by our skilled and diverse team + +As the Data Analyst, you will design and implement the data related-elements of technology solutions, including data models, physical database designs, and meta-data management. You will analyze abstract, complex problems and effectively communicate with the business and Information Technology (IT) regarding data design, usage, and management to provide project and operations support. You will focus on business intelligence solutions and provide input into the strategic elements of an overall Enterprise Data Management (EDM) strategy. + +How You Will Create Impact + + +Building logical and physical data models and collaborating with business partners to meet data requirements. +Validating data flow through implemented data models from source to target and ensuring all data requirements are delivered. +Performing root cause analysis to determine cause of data defects and recommending solutions for resolution. +Collaborating with the Senior Manager to create, maintain, and manage meta-data for an entity. +Capturing and documenting business definitions and terms using the appropriate tools and methods. +Contributing to the development and maintenance of the enterprise architecture for information and data, and EDM strategy. + + + +How You Will Succeed + + +You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.   +You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions. +You have strong communication skills to clearly convey messages and explore diverse points of view.  +You build trusting relationships and provide guidance to support the development of colleagues. + + + +To Join Our Team + + +You have three years of experience working in database systems or a related field, and have significant experience in complex relational data modeling, database design, database platforms, and modeling tools. +You have a post-secondary degree in Commerce, Information Technology or Computer Science. +You have working knowledge of Extract, Transform and Loading (ETL) processes, as well as data warehouse and data mart principles and best practices. +Having dimensional data modelling experience is an asset. +Data visualization is an asset. + + + +What You Need To Know + + +You will be subject to a Background check as a condition of employment, in the event you are the successful candidate. + + + +What’s in it for you? + + +Training and development opportunities to grow your career. +Flexible work options and paid time off to support your personal and family needs. +A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture. +Paid volunteer days to give back to your community. +In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program. +Show more ","
    + + + + + +
    +
    + Company: CGL

    Department: IT

    Employment Type: Regular Full-Time

    Work Model: Hybrid

    Language: This role operates in English.

    The Opportunity

    We are a leading Canadian financial services Co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities.

    Our Information Technology team aspires to be a leader in applying technology to power business strategies. We connect concepts with solutions to create value and efficiencies for our clients, employees, and communities. Our success is driven by our skilled and diverse team

    As the Data Analyst, you will design and implement the data related-elements of technology solutions, including data models, physical database designs, and meta-data management. You will analyze abstract, complex problems and effectively communicate with the business and Information Technology (IT) regarding data design, usage, and management to provide project and operations support. You will focus on business intelligence solutions and provide input into the strategic elements of an overall Enterprise Data Management (EDM) strategy.

    How You Will Create Impact

    • Building logical and physical data models and collaborating with business partners to meet data requirements.
    • Validating data flow through implemented data models from source to target and ensuring all data requirements are delivered.
    • Performing root cause analysis to determine cause of data defects and recommending solutions for resolution.
    • Collaborating with the Senior Manager to create, maintain, and manage meta-data for an entity.
    • Capturing and documenting business definitions and terms using the appropriate tools and methods.
    • Contributing to the development and maintenance of the enterprise architecture for information and data, and EDM strategy.


    How You Will Succeed

    • You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.  
    • You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
    • You have strong communication skills to clearly convey messages and explore diverse points of view. 
    • You build trusting relationships and provide guidance to support the development of colleagues.


    To Join Our Team

    • You have three years of experience working in database systems or a related field, and have significant experience in complex relational data modeling, database design, database platforms, and modeling tools.
    • You have a post-secondary degree in Commerce, Information Technology or Computer Science.
    • You have working knowledge of Extract, Transform and Loading (ETL) processes, as well as data warehouse and data mart principles and best practices.
    • Having dimensional data modelling experience is an asset.
    • Data visualization is an asset.


    What You Need To Know

    • You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.


    What’s in it for you?

    • Training and development opportunities to grow your career.
    • Flexible work options and paid time off to support your personal and family needs.
    • A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
    • Paid volunteer days to give back to your community.
    • In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4005954223,https://ca.linkedin.com/jobs/view/specialist-analytics-and-planning-at-bell-4005954223?position=10&pageNum=7&refId=JdvyqUgmfOwXdevxqV%2F9LA%3D%3D&trackingId=EWNVbScqHeuPXmjsL1En%2Bg%3D%3D&trk=public_jobs_jserp-result_search-card,"Specialist, Analytics and Planning",Bell,"Toronto, Ontario, Canada","Req Id: 419757 + +At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. + +We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. + +Join us. You belong at Bell. + +On the Consumer and Small business team you’ll work across a portfolio of brands and solutions. From Bell’s best networks for the home, the office and on the go to the member benefits at Virgin Plus to the cheap and cheerful plans at Lucky Mobile we meet the connectivity needs of all customer segments in Canada. + +And it’s not just the options we provide, it’s how we provide them. On this team you’ll be a part of a focus to continuously improve the customer experience, making it more seamless, intuitive and responsive. + +Summary + +The Flanker Marketing team manages the acquisition strategy across Virgin Plus and Prepaid carriers including Lucky Mobile, Bell and Virgin Prepaid, PC mobile and No Name mobile. + +Our team is looking for a driven, results-oriented and analytical team player to lead programs supporting the growth of our Wireless business. In this role, you will help dictate Bell’s long-term flanker strategy & priorities! + +Key Responsibilities + + +Conduct in-depth analyses to identify new market opportunities and recommend strategic shifts +Be able to adapt quickly and work in a fast paced environment +Have strong cross-functional collaboration while working cross-functionally with internal teams & external partners +Monitor competitive landscape as it relates to product, pricing, and new marketing activity and trends +Leading and driving the overall marketing planning cycle +Bring 1-3 years’ previous experience in market insights, analysis, strategy or segmentation in a data-driven environment leveraging Statistical Analysis System, MicroStrategy or other Business Intelligence software +Create compelling and strategic presentations to obtain buy-in and alignment from executive team and key stakeholders +Support weekly results reporting, highlighting trends and identifying channel / market opportunities + + +Critical Qualifications + + +University degree in Marketing, Analytics and/or Business Administration +2-3 years professional experience +Analytical skills: Ability to quantify and analyze data and provide meaningful insights along with recommendations. +You can collaborate cross-functionally with internal teams and partners +Experience with Microsoft Excel, MicroStrategy +Previous experience with market strategy and analytics + + +#EmployeeReferralProgram + +Adequate knowledge of French is required for positions in Quebec. + +Additional Information + +Position Type: Management + +Job Status: Regular - Full Time + +Job Location: Canada : Ontario : Toronto + +Work Arrangement: Hybrid + +Application Deadline: 08/30/2024 + +For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs. + +Please apply directly online to be considered for this role. Applications through email will not be accepted. + +We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. + +We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. + +We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us. + +Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information. + +Created: Canada, ON, Toronto + +Bell, one of Canada's Top 100 Employers. + +419757 +Show more ","
    + + + + + +
    +
    + Req Id: 419757

    At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences.

    We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.

    Join us. You belong at Bell.

    On the Consumer and Small business team you’ll work across a portfolio of brands and solutions. From Bell’s best networks for the home, the office and on the go to the member benefits at Virgin Plus to the cheap and cheerful plans at Lucky Mobile we meet the connectivity needs of all customer segments in Canada.

    And it’s not just the options we provide, it’s how we provide them. On this team you’ll be a part of a focus to continuously improve the customer experience, making it more seamless, intuitive and responsive.

    Summary

    The Flanker Marketing team manages the acquisition strategy across Virgin Plus and Prepaid carriers including Lucky Mobile, Bell and Virgin Prepaid, PC mobile and No Name mobile.

    Our team is looking for a driven, results-oriented and analytical team player to lead programs supporting the growth of our Wireless business. In this role, you will help dictate Bell’s long-term flanker strategy & priorities!

    Key Responsibilities

    • Conduct in-depth analyses to identify new market opportunities and recommend strategic shifts
    • Be able to adapt quickly and work in a fast paced environment
    • Have strong cross-functional collaboration while working cross-functionally with internal teams & external partners
    • Monitor competitive landscape as it relates to product, pricing, and new marketing activity and trends
    • Leading and driving the overall marketing planning cycle
    • Bring 1-3 years’ previous experience in market insights, analysis, strategy or segmentation in a data-driven environment leveraging Statistical Analysis System, MicroStrategy or other Business Intelligence software
    • Create compelling and strategic presentations to obtain buy-in and alignment from executive team and key stakeholders
    • Support weekly results reporting, highlighting trends and identifying channel / market opportunities

    Critical Qualifications

    • University degree in Marketing, Analytics and/or Business Administration
    • 2-3 years professional experience
    • Analytical skills: Ability to quantify and analyze data and provide meaningful insights along with recommendations.
    • You can collaborate cross-functionally with internal teams and partners
    • Experience with Microsoft Excel, MicroStrategy
    • Previous experience with market strategy and analytics

    #EmployeeReferralProgram

    Adequate knowledge of French is required for positions in Quebec.

    Additional Information

    Position Type: Management

    Job Status: Regular - Full Time

    Job Location: Canada : Ontario : Toronto

    Work Arrangement: Hybrid

    Application Deadline: 08/30/2024

    For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

    Please apply directly online to be considered for this role. Applications through email will not be accepted.

    We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

    We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

    We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

    Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

    Created: Canada, ON, Toronto

    Bell, one of Canada's Top 100 Employers.

    419757 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3847778634,https://ca.linkedin.com/jobs/view/data-analyst-at-stripe-3847778634?position=1&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=8TWE3LqU26VtV9WKPdPsvw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Stripe,"Toronto, Ontario, Canada","About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background. + +What you'll do + +In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling. + +Who you are + +We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems +Proficiency in SQL and Python +Strong statistical knowledge +Expertise in visualization and using data insights to make recommendations and achieve goals +Proven ability to manage and deliver on multiple projects with great attention to detail +Ability to clearly communicate results and drive impact +Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights. + + + +Preferred Qualifications + + +Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field. +Prior experience at a growth stage internet or software company. +Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines. +Good understanding of development processes and best practices like engineering standards, code reviews, and testing. + + + +Hybrid work at Stripe + +This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. + +Pay and benefits + +The annual salary range for this role in the primary location is C$128,700 - C$174,100. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. + +Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +Show more ","
    + + + + + +
    +
    + About Stripe

    Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

    About The Team

    Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

    What you'll do

    In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling.

    Who you are

    We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

    Minimum Requirements

    • 2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
    • Proficiency in SQL and Python
    • Strong statistical knowledge
    • Expertise in visualization and using data insights to make recommendations and achieve goals
    • Proven ability to manage and deliver on multiple projects with great attention to detail
    • Ability to clearly communicate results and drive impact
    • Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.


    Preferred Qualifications

    • Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
    • Prior experience at a growth stage internet or software company.
    • Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
    • Good understanding of development processes and best practices like engineering standards, code reviews, and testing.


    Hybrid work at Stripe

    This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

    Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

    A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

    Pay and benefits

    The annual salary range for this role in the primary location is C$128,700 - C$174,100. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

    Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +4004995260,https://ca.linkedin.com/jobs/view/business-data-analyst-at-genpact-4004995260?position=2&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=vLFXcJZC%2Fi5fxqQWK7UUPw%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst,Genpact,"Toronto, Ontario, Canada","Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. + + + + +Inviting applications for the role of Business Data Analyst + +Location: Toronto Canada ( 3 days onsite/week) + + + + +Skills: + +Data centric project (retail banking/fraud/AML) / work packages for Tier 2-4, low to moderate risk and regulatory projects with multiple stakeholders and across multiple LoB +Advanced to expert knowledge of capital markets products, regulatory reporting, business systems analysis, project delivery practices and standards across the project life-cycle +Data profiling of large datasets using tools like Python notebooks, SQL, MS Excel is a major plus. +Gain/acquire sound to advanced understanding of business and user interaction with technology throughout project delivery +Works independently as the senior or lead business analyst and coaches and guides members within area of expertise +Identifies and leads problem resolution for complex issues at all levels +Contributes to the communication and change management activities across multiple stakeholders +Undergraduate degree (technical or finance discipline) +Azure certification is an asset +Basic python knowledge (data analysis/profiling) is an asset. +5-7 years related business analysis experience + + + + + + + +Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at www.genpact.com and on X, Facebook, LinkedIn, and YouTube. + +Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. + +Show more ","
    + + + + + +
    +
    +

    Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.


    Inviting applications for the role of Business Data Analyst

    Location: Toronto Canada ( 3 days onsite/week)


    Skills:

    • Data centric project (retail banking/fraud/AML) / work packages for Tier 2-4, low to moderate risk and regulatory projects with multiple stakeholders and across multiple LoB
    • Advanced to expert knowledge of capital markets products, regulatory reporting, business systems analysis, project delivery practices and standards across the project life-cycle
    • Data profiling of large datasets using tools like Python notebooks, SQL, MS Excel is a major plus.
    • Gain/acquire sound to advanced understanding of business and user interaction with technology throughout project delivery
    • Works independently as the senior or lead business analyst and coaches and guides members within area of expertise
    • Identifies and leads problem resolution for complex issues at all levels
    • Contributes to the communication and change management activities across multiple stakeholders
    • Undergraduate degree (technical or finance discipline)
    • Azure certification is an asset
    • Basic python knowledge (data analysis/profiling) is an asset.
    • 5-7 years related business analysis experience



    Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at www.genpact.com and on X, Facebook, LinkedIn, and YouTube.

    Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4008848429,https://ca.linkedin.com/jobs/view/data-analyst-at-hays-4008848429?position=3&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=AbN3MSuJhinQUZ05lYtpOA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Hays,"Toronto, Ontario, Canada","Role: Data Analyst + + + + +Our client's Group Retirement Services is a market leader in Capital Accumulation Plans in Canada. Our vision is to become a lifetime savings partner for working Canadians & reinvent the formula for pension de-risking. One of the key enablers of our strategy is to transform into a digital and data-driven business. + +The Data Analyst, reporting into the Director of Sponsor Data Insights and Products, is expected to be an effective partner with our Group Retirement Services portfolio. The successful candidate will assist in data entry tasks, supporting the run of recurring reporting, implement processes to automate/streamline existing processes and develop BI dashboards to enhance our existing suite of reports. This will result in improved efficiencies in GRS. + +What will you do: + +• Liaise directly with our key stakeholders to understand business needs and provide suitable analytical solutions. + +• Enhance our suite of reports to align with modern tools and data practices. + +• Develop continuous improvement solutions to automate, consolidate, or discontinue processes, with a focus on business value & efficiency. + +• Build robust documentation practices across all analytical products. + +• Manage multiple simultaneous data analytics/ Automation projects within assigned time and budget. + +• Comply fully with all privacy, confidentiality, do not contact, our client's Code of Business Conduct, data security, our client's End User Computing and other requirements related to customer data + +Key Competencies: + +• Ability to liaise with internal stakeholders and adapt the approach when dealing with technical and non-technical audiences. + +• Self-directed and proactive; thinking beyond the immediate problem with ability to analyze situations/problems systematically and deliver effective right-sized solutions in a timely manner. + +• Ability to manage In-depth prioritization, planning, and change management processes to stay within time/scope of a task in a fast-paced environment. + +• Proven problem-solving skills with the ability to break down high-level data into easily communicated information. + +• Strong analytical skills and business acumen with an eye for detail and accuracy + +What you will need to succeed: + +• 2 - 3 years’ experience in a Data Analyst or Performance Analyst role + +• 2 - 3 years of experience in Python/R/SAS for developing analytics led solutions. + +• 2 - 3 years’ experience working with visualization tools e.g. Tableau. + +• Advanced Microsoft Word, PowerPoint, Excel, Access, Visual Basic + +• Proven ability to help drive large and strategic projects from concept to implementation that span multiple systems and business processes. + +• Strong understanding of data management principles, best practices, and data governance + +• Excellent communication skills to drive a data-driven culture and lead cross-functional initiatives. + +• Superior organizational skills, including process management to support workflow improvements. + +• Undergraduate in Business, Statistics, Computer Science (or equivalent university degree or college diploma) + +• Past experience in life insurance/wealth management, or other financial services industry is an asset (e.g., retail banking, credit card, property and casualty insurance) + +Show more ","
    + + + + + +
    +
    +

    Role: Data Analyst


    Our client's Group Retirement Services is a market leader in Capital Accumulation Plans in Canada. Our vision is to become a lifetime savings partner for working Canadians & reinvent the formula for pension de-risking. One of the key enablers of our strategy is to transform into a digital and data-driven business.

    The Data Analyst, reporting into the Director of Sponsor Data Insights and Products, is expected to be an effective partner with our Group Retirement Services portfolio. The successful candidate will assist in data entry tasks, supporting the run of recurring reporting, implement processes to automate/streamline existing processes and develop BI dashboards to enhance our existing suite of reports. This will result in improved efficiencies in GRS.

    What will you do:

    • Liaise directly with our key stakeholders to understand business needs and provide suitable analytical solutions.

    • Enhance our suite of reports to align with modern tools and data practices.

    • Develop continuous improvement solutions to automate, consolidate, or discontinue processes, with a focus on business value & efficiency.

    • Build robust documentation practices across all analytical products.

    • Manage multiple simultaneous data analytics/ Automation projects within assigned time and budget.

    • Comply fully with all privacy, confidentiality, do not contact, our client's Code of Business Conduct, data security, our client's End User Computing and other requirements related to customer data

    Key Competencies:

    • Ability to liaise with internal stakeholders and adapt the approach when dealing with technical and non-technical audiences.

    • Self-directed and proactive; thinking beyond the immediate problem with ability to analyze situations/problems systematically and deliver effective right-sized solutions in a timely manner.

    • Ability to manage In-depth prioritization, planning, and change management processes to stay within time/scope of a task in a fast-paced environment.

    • Proven problem-solving skills with the ability to break down high-level data into easily communicated information.

    • Strong analytical skills and business acumen with an eye for detail and accuracy

    What you will need to succeed:

    • 2 - 3 years’ experience in a Data Analyst or Performance Analyst role

    • 2 - 3 years of experience in Python/R/SAS for developing analytics led solutions.

    • 2 - 3 years’ experience working with visualization tools e.g. Tableau.

    • Advanced Microsoft Word, PowerPoint, Excel, Access, Visual Basic

    • Proven ability to help drive large and strategic projects from concept to implementation that span multiple systems and business processes.

    • Strong understanding of data management principles, best practices, and data governance

    • Excellent communication skills to drive a data-driven culture and lead cross-functional initiatives.

    • Superior organizational skills, including process management to support workflow improvements.

    • Undergraduate in Business, Statistics, Computer Science (or equivalent university degree or college diploma)

    • Past experience in life insurance/wealth management, or other financial services industry is an asset (e.g., retail banking, credit card, property and casualty insurance)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4004386818,https://ca.linkedin.com/jobs/view/marketing-data-analyst-at-latentview-analytics-4004386818?position=4&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=uGffzUIlfa5DSgrWN2ojZg%3D%3D&trk=public_jobs_jserp-result_search-card,Marketing Data Analyst,LatentView Analytics,"Toronto, Ontario, Canada","Key Responsibilities: + +Decision Support: Provide data-driven insights and recommendations to support strategic business decisions. + +Scenario Analysis: Conduct scenario analyses to evaluate potential outcomes of different business strategies. + +Risk Assessment: Identify and assess risks associated with various business decisions and propose mitigation strategies. + +Data Interpretation: Translate complex data into understandable and actionable insights for non-technical stakeholders. + +Collaboration: Work closely with business leaders to understand their objectives and provide analytical support. + +Continuous Improvement: Identify opportunities for process improvements and implement best practices in decision analysis. + +Data Visualization: Create and maintain dashboards and reports using Tableau or Power BI to visualize data trends and insights effectively. + +Data Management: Utilize SQL to extract, manipulate, and manage data from various databases, ensuring data accuracy and integrity. + + + + +Qualifications: + +Bachelor’s degree in Business, Economics, Statistics, or a related field. A master’s degree or MBA is preferred. +3+ years of experience in decision analysis, business analysis, or a related field. Strong analytical skills and experience with statistical analysis tools. +Proficiency in SQL for data extraction and manipulation. +Experience with data visualization tools such as Tableau or Power BI. +Ability to interpret complex data and present findings clearly and concisely. Excellent problem-solving and decision-making skills. +Strong communication and interpersonal skills. + +Show more ","
    + + + + + +
    +
    +

    Key Responsibilities:

    Decision Support: Provide data-driven insights and recommendations to support strategic business decisions.

    Scenario Analysis: Conduct scenario analyses to evaluate potential outcomes of different business strategies.

    Risk Assessment: Identify and assess risks associated with various business decisions and propose mitigation strategies.

    Data Interpretation: Translate complex data into understandable and actionable insights for non-technical stakeholders.

    Collaboration: Work closely with business leaders to understand their objectives and provide analytical support.

    Continuous Improvement: Identify opportunities for process improvements and implement best practices in decision analysis.

    Data Visualization: Create and maintain dashboards and reports using Tableau or Power BI to visualize data trends and insights effectively.

    Data Management: Utilize SQL to extract, manipulate, and manage data from various databases, ensuring data accuracy and integrity.


    Qualifications:

    • Bachelor’s degree in Business, Economics, Statistics, or a related field. A master’s degree or MBA is preferred.
    • 3+ years of experience in decision analysis, business analysis, or a related field. Strong analytical skills and experience with statistical analysis tools.
    • Proficiency in SQL for data extraction and manipulation.
    • Experience with data visualization tools such as Tableau or Power BI.
    • Ability to interpret complex data and present findings clearly and concisely. Excellent problem-solving and decision-making skills.
    • Strong communication and interpersonal skills.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4006422105,https://ca.linkedin.com/jobs/view/data-analyst-at-longo-s-4006422105?position=6&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=43RGCeYjwqNTnd2BbNi9LA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Longo's,"Vaughan, Ontario, Canada","We are looking for a Supply Chain Data Analyst who is passionate about food and enjoys working in a fast paced, team environment! + +Do you have strong analytical skills and a keen passion for supply chain in the retail industry? + +Why not join us? + +Position: Supply Chain Data Analyst + +Job Overview: + +Functioning with minimal oversight, the Data Analyst provides statistical modeling and analysis services to support critical budgetary, operational, and strategic planning decisions. This role also takes ownership and responsibility of the On Time In Full (OTIF) and infractions process. + +Accountabilities: + +Leadership and People Management + +Demonstrates Genuine Leadership and People Management by: + +Upholding and modelling the company’s values of Honesty, Trustworthiness and Mutual Respect in all actions and behaviours +Regularly work with management team across the company to agree and accept new concepts, practices, and approaches + +Supply Chain and Optimization + +Apply LEAN manufacturing tools and methodology in the implementation of operational excellence initiatives. +Implement tools such as Gemba Walks, VSM, Lean processes, constrain management, Production Flow and other efficiency gaining methods using tools that includes: Zero Defect Processes, Kaizen events SPC, Process Capability, Pareto Analysis, Fishbone, etc. +Respond to, propose and implement effective solutions that realize efficiency improvements and cost reduction. + +Data Analysis + +Research and develop analysis, forecasting, and optimization methods to improve the quality of DC and Supply Chain processes. +Work with large and complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. +Conduct end-to-end analysis that includes data gathering and requirements specification processing, analysis and presenting ongoing deliverables. +Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis, etc.) through effective presentations of findings to multiple levels of stakeholders +Proactive management and optimization of supply chain to maximize efficiency and fulfill internal / external customers needs. + +Reporting and Administration + +Responsible for written reports and documentation including: + +Responsible for updating all daily, weekly and monthly reports for Supply Chain. +This includes; KPI’s, Fiscal Budget tracking, Volume / demand forecasting, Inventory accuracy report, Buyer replenishment maintenance, daily and weekly scorecards, forecasting analysis, etc. +Design, create and modify other reports based on business needs + +Supplier Performance + +Investigates vendor service level issues. + +Knowledge, Skills & Competencies: + +Post-secondary education from an accredited university or equivalent qualification. +Experience with mathematical programming or statistical forecasting techniques +Proven understanding and extensive experience implementing and sustaining of LEAN operational practices and tools +Excellent communication skills coupled with strong training/coaching, organizational, analytical and problem-solving skills; and the ability to effectively communicate with all levels of the organization +Demonstrated ability in developing and attaining results +Customer oriented attitude with a strong commitment to safety and quality +Experience with WMS systems +Sound knowledge of supply chain processes and distribution center operations +Solid team player who promotes a culture of professionalism, integrity, quality and teamwork +Strong computer and Analytical skills, proficient in use of MS Office Suite of products including Word, Excel, Access, Visio and PowerPoint +Uses SQL to run queries, generating reports and helping others to interpret and use data + +Working Conditions: + +Work is performed in both an office setting and a standard warehouse environment +Ability to manage multiple projects and changing priorities with regular deadlines +Ability to work a variety of shifts including evenings, weekends and holidays as business needs + + + + +Longo’s is committed to providing accommodations for people with disabilities throughout the recruitment process and, upon request, will work with qualified job applicants to provide suitable accommodation in a manner that takes into account the applicant’s accessibility needs due to disability. + +Note: A qualified job applicant with a disability is one who possesses the required skills, education, experience and training and who can, with reasonable accommodation, perform the essential functions of the position applied for. + +If you require accommodation, please contact the Human Resources Coordinator at: + +Email: hrdept@longos.com + +Show more ","
    + + + + + +
    +
    +

    We are looking for a Supply Chain Data Analyst who is passionate about food and enjoys working in a fast paced, team environment!

    Do you have strong analytical skills and a keen passion for supply chain in the retail industry?

    Why not join us?

    Position: Supply Chain Data Analyst

    Job Overview:

    Functioning with minimal oversight, the Data Analyst provides statistical modeling and analysis services to support critical budgetary, operational, and strategic planning decisions. This role also takes ownership and responsibility of the On Time In Full (OTIF) and infractions process.

    Accountabilities:

    Leadership and People Management

    Demonstrates Genuine Leadership and People Management by:

    • Upholding and modelling the company’s values of Honesty, Trustworthiness and Mutual Respect in all actions and behaviours
    • Regularly work with management team across the company to agree and accept new concepts, practices, and approaches

    Supply Chain and Optimization

    • Apply LEAN manufacturing tools and methodology in the implementation of operational excellence initiatives.
    • Implement tools such as Gemba Walks, VSM, Lean processes, constrain management, Production Flow and other efficiency gaining methods using tools that includes: Zero Defect Processes, Kaizen events SPC, Process Capability, Pareto Analysis, Fishbone, etc.
    • Respond to, propose and implement effective solutions that realize efficiency improvements and cost reduction.

    Data Analysis

    • Research and develop analysis, forecasting, and optimization methods to improve the quality of DC and Supply Chain processes.
    • Work with large and complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
    • Conduct end-to-end analysis that includes data gathering and requirements specification processing, analysis and presenting ongoing deliverables.
    • Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis, etc.) through effective presentations of findings to multiple levels of stakeholders
    • Proactive management and optimization of supply chain to maximize efficiency and fulfill internal / external customers needs.

    Reporting and Administration

    Responsible for written reports and documentation including:

    • Responsible for updating all daily, weekly and monthly reports for Supply Chain.
    • This includes; KPI’s, Fiscal Budget tracking, Volume / demand forecasting, Inventory accuracy report, Buyer replenishment maintenance, daily and weekly scorecards, forecasting analysis, etc.
    • Design, create and modify other reports based on business needs

    Supplier Performance

    Investigates vendor service level issues.

    Knowledge, Skills & Competencies:

    • Post-secondary education from an accredited university or equivalent qualification.
    • Experience with mathematical programming or statistical forecasting techniques
    • Proven understanding and extensive experience implementing and sustaining of LEAN operational practices and tools
    • Excellent communication skills coupled with strong training/coaching, organizational, analytical and problem-solving skills; and the ability to effectively communicate with all levels of the organization
    • Demonstrated ability in developing and attaining results
    • Customer oriented attitude with a strong commitment to safety and quality
    • Experience with WMS systems
    • Sound knowledge of supply chain processes and distribution center operations
    • Solid team player who promotes a culture of professionalism, integrity, quality and teamwork
    • Strong computer and Analytical skills, proficient in use of MS Office Suite of products including Word, Excel, Access, Visio and PowerPoint
    • Uses SQL to run queries, generating reports and helping others to interpret and use data

    Working Conditions:

    • Work is performed in both an office setting and a standard warehouse environment
    • Ability to manage multiple projects and changing priorities with regular deadlines
    • Ability to work a variety of shifts including evenings, weekends and holidays as business needs


    Longo’s is committed to providing accommodations for people with disabilities throughout the recruitment process and, upon request, will work with qualified job applicants to provide suitable accommodation in a manner that takes into account the applicant’s accessibility needs due to disability.

    Note: A qualified job applicant with a disability is one who possesses the required skills, education, experience and training and who can, with reasonable accommodation, perform the essential functions of the position applied for.

    If you require accommodation, please contact the Human Resources Coordinator at:

    Email: hrdept@longos.com

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +3993624380,https://ca.linkedin.com/jobs/view/data-analyst-at-jewlr-3993624380?position=7&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=JmxzFkpmWtKdAiS658uoUg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Jewlr,"Greater Toronto Area, Canada","DATA ANALYST + +Overview + +As a Data Analyst, you have a strong background in data analysis and a passion for deriving actionable insights from complex datasets. You will be responsible for reviewing the company data to make provide insights into customer purchasing habits to make better business decisions. The position is accountable for collecting statistical analyses of data and implementing programs to help improve the bottom line of an organization. Your delivery of meaningful insights will solve problems, identify new opportunities, and drive strategy with experience in the ecommerce sector. + + + + +About Safyre Labs + +Safyre Labs is a direct-to-consumer Ecommerce company with a proven history of innovation and success. Now in its 13th year of operation, we are poised for growth and are looking for passionate and energetic individuals to join us. + + + + +Jewlr is the primary Ecommerce brand by Safyre Labs and is the leading online destination for personalized jewellery. Jewlr is a rapidly growing brand that leverages innovation and technology to disrupt the traditional global jewelry industry. Founded in 2009, Jewlr has won several innovation awards and has over one million customers globally. We design and produce the jewellery in our state-of-the-art workshop located in Toronto, Canada. We handcraft each piece with care to deliver jewellery our customers love. + + + + +Responsibilities + +Gather and compile data from various sources, including databases, spreadsheets, and external systems. +Ensure data integrity and accuracy by performing regular data validation and cleaning. +Analyze large datasets to identify trends, patterns, and anomalies. +Use statistical methods and tools to interpret data and generate reports. +Create clear and informative reports, dashboards, and visualizations to communicate findings to stakeholders. +Present data insights and recommendations to management and other departments. +Work closely with other teams to understand their data needs and provide analytical support. +Collaborate with IT and data engineering teams to improve data infrastructure and Stay current with industry trends and best practices in data analysis. +Propose and implement improvements to data collection, analysis, and reporting processes. + + + + +Qualifications & Skills + +Bachelor’s degree in data science, Statistics, Computer Science, or related field +5 years experience in data analysis or a similar role and providing customer insights within eCommerce brands and retail data +Proficiency in data analysis tools and software (e.g. SQL, Excel, R. Python) +Experience with data visualization tools (e.g. Looker, Tableau, Power BI) +Experience with Data Warehouses (e.g. Big Query, Snowflake) +Strong understanding of statistical methods and data modelling +Excellent problem-solving and critical thinking skills +Ability to communicate complex data insights clearly and effectively +Detail oriented with high level of accuracy +Ability to prioritize objectives based on impact potential +Show more ","
    + + + + + +
    +
    +

    DATA ANALYST

    Overview

    As a Data Analyst, you have a strong background in data analysis and a passion for deriving actionable insights from complex datasets. You will be responsible for reviewing the company data to make provide insights into customer purchasing habits to make better business decisions. The position is accountable for collecting statistical analyses of data and implementing programs to help improve the bottom line of an organization. Your delivery of meaningful insights will solve problems, identify new opportunities, and drive strategy with experience in the ecommerce sector.


    About Safyre Labs

    Safyre Labs is a direct-to-consumer Ecommerce company with a proven history of innovation and success. Now in its 13th year of operation, we are poised for growth and are looking for passionate and energetic individuals to join us.


    Jewlr is the primary Ecommerce brand by Safyre Labs and is the leading online destination for personalized jewellery. Jewlr is a rapidly growing brand that leverages innovation and technology to disrupt the traditional global jewelry industry. Founded in 2009, Jewlr has won several innovation awards and has over one million customers globally. We design and produce the jewellery in our state-of-the-art workshop located in Toronto, Canada. We handcraft each piece with care to deliver jewellery our customers love.


    Responsibilities

    • Gather and compile data from various sources, including databases, spreadsheets, and external systems.
    • Ensure data integrity and accuracy by performing regular data validation and cleaning.
    • Analyze large datasets to identify trends, patterns, and anomalies.
    • Use statistical methods and tools to interpret data and generate reports.
    • Create clear and informative reports, dashboards, and visualizations to communicate findings to stakeholders.
    • Present data insights and recommendations to management and other departments.
    • Work closely with other teams to understand their data needs and provide analytical support.
    • Collaborate with IT and data engineering teams to improve data infrastructure and Stay current with industry trends and best practices in data analysis.
    • Propose and implement improvements to data collection, analysis, and reporting processes.


    Qualifications & Skills

    • Bachelor’s degree in data science, Statistics, Computer Science, or related field
    • 5 years experience in data analysis or a similar role and providing customer insights within eCommerce brands and retail data
    • Proficiency in data analysis tools and software (e.g. SQL, Excel, R. Python)
    • Experience with data visualization tools (e.g. Looker, Tableau, Power BI)
    • Experience with Data Warehouses (e.g. Big Query, Snowflake)
    • Strong understanding of statistical methods and data modelling
    • Excellent problem-solving and critical thinking skills
    • Ability to communicate complex data insights clearly and effectively
    • Detail oriented with high level of accuracy
    • Ability to prioritize objectives based on impact potential
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3967967043,https://ca.linkedin.com/jobs/view/icqa-data-analyst-at-amazon-3967967043?position=8&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=nTdgbSlzw%2B3N0JKcBeG0hA%3D%3D&trk=public_jobs_jserp-result_search-card,ICQA Data Analyst,Amazon,"Bolton, Ontario, Canada","Description + +At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate. + +Key job responsibilities + + +Development of data collection processes and data management systems +Maintenance of data integrity (0% error rate) +Designing of queries, compiling of data, and generation of reports in MS Excel +Charting and graphing of data for reporting purposes +In depth research of defect trends +Data collection and entry as needed +Data mining and problem solving +Back up for Process Assistant duties + + +Basic Qualifications + + +2+ years of professional or military experience +Experience with Microsoft Office products and applications + + +Preferred Qualifications + + +Experience with end-to-end project management + + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter. + + +Company - Amazon Canada Fulfillment Services, ULC + +Job ID: A2691613 +Show more ","
    + + + + + +
    +
    + Description

    At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate.

    Key job responsibilities

    • Development of data collection processes and data management systems
    • Maintenance of data integrity (0% error rate)
    • Designing of queries, compiling of data, and generation of reports in MS Excel
    • Charting and graphing of data for reporting purposes
    • In depth research of defect trends
    • Data collection and entry as needed
    • Data mining and problem solving
    • Back up for Process Assistant duties

    Basic Qualifications

    • 2+ years of professional or military experience
    • Experience with Microsoft Office products and applications

    Preferred Qualifications

    • Experience with end-to-end project management

    Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.


    Company - Amazon Canada Fulfillment Services, ULC

    Job ID: A2691613 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-17,[] +3967962890,https://ca.linkedin.com/jobs/view/icqa-data-analyst-at-amazon-3967962890?position=9&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=IGLOmv1Qng6VtjlCxbaxtQ%3D%3D&trk=public_jobs_jserp-result_search-card,ICQA Data Analyst,Amazon,"Brampton, Ontario, Canada","Description + +At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate. + +Key job responsibilities + + +Development of data collection processes and data management systems +Maintenance of data integrity (0% error rate) +Designing of queries, compiling of data, and generation of reports in MS Excel +Charting and graphing of data for reporting purposes +In depth research of defect trends +Data collection and entry as needed +Data mining and problem solving +Back up for Process Assistant duties + + +Basic Qualifications + + +2+ years of professional or military experience +Experience with Microsoft Office products and applications + + +Preferred Qualifications + + +Experience with end-to-end project management + + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter. + + +Company - Amazon Canada Fulfillment Services, ULC + +Job ID: A2691613 +Show more ","
    + + + + + +
    +
    + Description

    At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate.

    Key job responsibilities

    • Development of data collection processes and data management systems
    • Maintenance of data integrity (0% error rate)
    • Designing of queries, compiling of data, and generation of reports in MS Excel
    • Charting and graphing of data for reporting purposes
    • In depth research of defect trends
    • Data collection and entry as needed
    • Data mining and problem solving
    • Back up for Process Assistant duties

    Basic Qualifications

    • 2+ years of professional or military experience
    • Experience with Microsoft Office products and applications

    Preferred Qualifications

    • Experience with end-to-end project management

    Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.


    Company - Amazon Canada Fulfillment Services, ULC

    Job ID: A2691613 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-17,[] +4008828464,https://ca.linkedin.com/jobs/view/associate-data-analyst-new-grad-2025-at-capital-one-4008828464?position=12&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=UiJ0Oun9xh9yE9sAoO1dGg%3D%3D&trk=public_jobs_jserp-result_search-card,"Associate, Data Analyst, New Grad 2025",Capital One,"Toronto, Ontario, Canada","161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Data Analyst, New Grad 2025 + +Associate, Data Analyst + +Our Capital One Data Analysis Team. + +Yes, we’re a credit card company. But we’re more than that too. We’re driven by what our customers want, and how to make their lives simpler. + +We’re always looking for creative ways to offer digital solutions that make sense for our customers. With your help, we’ll build the next generation of banking in Canada based on customer-focused values, compelling products and great engineering. + +Working with us + +How do we do things at Capital One Canada? We listen — to our people, and to our customers. We change with the times and have adopted a flexible hybrid model (remote and/or in-office). A flexible hybrid working model is one that creates the opportunity to match the work that we do to the environment that best supports that work. Associates working in the hybrid model are expected to come into the office 3 days a week across Tuesdays and Thursdays, reserving Mondays and Fridays as company-wide virtual days. As was true before the pandemic, expectations of being in the office will be balanced with personal life flexibility. We recognize that everyone has a unique working pattern so we’re open to discussing flexible working arrangements that will best accommodate you. + +At Capital One we’re committed to diversity, inclusion and belonging . We strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and inclusive behaviours are embedded in everything we do to positively impact associates. Strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and to help challenge the status quo and create the best outcomes for everyone. + +We’re focused on helping associates live well—physically, financially and emotionally. When you join us, we support you and those who are most important to you, offering full coverage for spouses, domestic partners, and dependents. We’ve designed our benefits program to be flexible, comprehensive and consistent across our organization. From health and fitness center discounts, to training and professional development programs—and much more—you’ll discover that Capital One is committed to helping you live your best life. + +Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations. + +A day in the life of a Capital One Data Analyst. + +At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time, and agony in their financial lives. + +Responsibilities: + + +Writing SQL to clean, transform, investigate data. +Working closely with business partners to harness the power of data in compliance testing. +Designing rich data visualizations to communicate complex ideas. +Ensure data and intent integrity by automated data quality verification pipelines. +Supporting and consulting with the business to propagate data management best practices. +Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow. +Investigating the use of technology to automate compliance testing. + + +The ideal candidate will be: + + +Curious: You ask why, you explore, and you’re not afraid to blurt out your disruptive idea. You know SQL and are constantly exploring new open source tools, and hitting up stack overflow on a regular basis. +A Wrangler: You know how to programmatically extract data from a database or an API, bring it through a transformation or two, and convert into a human-readable form (Matplotlib, d3 visualization, Tableau, etc.). +Creative: Big, undefined problems and petabytes of data don’t frighten you. You’re used to working with abstract data, and you love discovering new narratives in un-mined territories. +Proactive: You will want to share your knowledge with your peers and contribute back to inner/open source projects which you might consume. + + +Basic Qualifications: + + +Will obtain or have obtained a Bachelor’s degree or higher and graduating in 2024-2025 + + +Preferred Qualifications : + + +Pursuing a degree in Mathematics, Statistics, Computer Science, Engineering, or another quantitative discipline +Experience analyzing and manipulating large data sets using tools such as SQL or Python through co-op or school programs +Experience building and maintaining data pipelines +Experience in a Linux/Unix environment, with Git, AWS, or APIs through co-op or school programs is considered an asset +Excellent verbal and written communication skills + + +About Capital One Canada + +We've been helping millions of Canadians for over 20 years by providing them with access to credit when others wouldn’t. We're on a journey to put our customers first, and keep them there, by building modern technology solutions to simplify and humanize the world of credit cards. We have the positive energy of a startup, with the advantages of a big company. + +MUST INCLUDE YOUR COVER LETTER, RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY. + +We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process. + +Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations. + +If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. + +For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com + +Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. + +Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). +Show more ","
    + + + + + +
    +
    + 161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Data Analyst, New Grad 2025

    Associate, Data Analyst

    Our Capital One Data Analysis Team.

    Yes, we’re a credit card company. But we’re more than that too. We’re driven by what our customers want, and how to make their lives simpler.

    We’re always looking for creative ways to offer digital solutions that make sense for our customers. With your help, we’ll build the next generation of banking in Canada based on customer-focused values, compelling products and great engineering.

    Working with us

    How do we do things at Capital One Canada? We listen — to our people, and to our customers. We change with the times and have adopted a flexible hybrid model (remote and/or in-office). A flexible hybrid working model is one that creates the opportunity to match the work that we do to the environment that best supports that work. Associates working in the hybrid model are expected to come into the office 3 days a week across Tuesdays and Thursdays, reserving Mondays and Fridays as company-wide virtual days. As was true before the pandemic, expectations of being in the office will be balanced with personal life flexibility. We recognize that everyone has a unique working pattern so we’re open to discussing flexible working arrangements that will best accommodate you.

    At Capital One we’re committed to diversity, inclusion and belonging . We strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and inclusive behaviours are embedded in everything we do to positively impact associates. Strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and to help challenge the status quo and create the best outcomes for everyone.

    We’re focused on helping associates live well—physically, financially and emotionally. When you join us, we support you and those who are most important to you, offering full coverage for spouses, domestic partners, and dependents. We’ve designed our benefits program to be flexible, comprehensive and consistent across our organization. From health and fitness center discounts, to training and professional development programs—and much more—you’ll discover that Capital One is committed to helping you live your best life.

    Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

    A day in the life of a Capital One Data Analyst.

    At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time, and agony in their financial lives.

    Responsibilities:

    • Writing SQL to clean, transform, investigate data.
    • Working closely with business partners to harness the power of data in compliance testing.
    • Designing rich data visualizations to communicate complex ideas.
    • Ensure data and intent integrity by automated data quality verification pipelines.
    • Supporting and consulting with the business to propagate data management best practices.
    • Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow.
    • Investigating the use of technology to automate compliance testing.

    The ideal candidate will be:

    • Curious: You ask why, you explore, and you’re not afraid to blurt out your disruptive idea. You know SQL and are constantly exploring new open source tools, and hitting up stack overflow on a regular basis.
    • A Wrangler: You know how to programmatically extract data from a database or an API, bring it through a transformation or two, and convert into a human-readable form (Matplotlib, d3 visualization, Tableau, etc.).
    • Creative: Big, undefined problems and petabytes of data don’t frighten you. You’re used to working with abstract data, and you love discovering new narratives in un-mined territories.
    • Proactive: You will want to share your knowledge with your peers and contribute back to inner/open source projects which you might consume.

    Basic Qualifications:

    • Will obtain or have obtained a Bachelor’s degree or higher and graduating in 2024-2025

    Preferred Qualifications :

    • Pursuing a degree in Mathematics, Statistics, Computer Science, Engineering, or another quantitative discipline
    • Experience analyzing and manipulating large data sets using tools such as SQL or Python through co-op or school programs
    • Experience building and maintaining data pipelines
    • Experience in a Linux/Unix environment, with Git, AWS, or APIs through co-op or school programs is considered an asset
    • Excellent verbal and written communication skills

    About Capital One Canada

    We've been helping millions of Canadians for over 20 years by providing them with access to credit when others wouldn’t. We're on a journey to put our customers first, and keep them there, by building modern technology solutions to simplify and humanize the world of credit cards. We have the positive energy of a startup, with the advantages of a big company.

    MUST INCLUDE YOUR COVER LETTER, RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY.

    We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process.

    Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

    If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

    For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

    Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

    Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). +
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    ",2024-08-23,[] +4006469993,https://ca.linkedin.com/jobs/view/data-analyst-powerbi-power-automate-at-robertson-company-ltd-4006469993?position=13&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=Od2sgGEUcI81zE52r7T4Rw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - PowerBI & Power Automate,Robertson & Company Ltd.,"Toronto, Ontario, Canada","*** THIS ROLE IS WITH OUR CLIENT IN THE INSURANCE INDUSTRY*** + + + + +Title: Data Analyst II + +Duration: 12 months(with possibility of extension or conversion) + +Type: Hybrid based out of Toronto + + + + +MUST HAVE: + +1. Power BI data analytics and reporting skills + +2. 2+ years of hands-on Power BI experience with a background in data engineering or data analysis + +3. An understanding of database management, data modeling, data warehousing, SQL querying, business intelligence and online analytical processing (OLAP) + +4. background in data engineering – SQL, programming, create visualization of data sets + +5. Understanding of Financial reporting + +6. Power Apps – RBI background + +7. Power Automate experience + + + + + + + +Candidate Value Proposition + +• The successful candidate’s work product will have visibility at Clients highest leadership levels, as the outputs are reported on a biweekly and monthly cadence to executive leadership. + +• Great opportunity for networking and exposure across all levels of client and work with cutting edge latest technology + + + + +Typical Day in Role + +• Develop, manage, and report on key process indicators (KPIs) for biweekly and monthly reporting + +• Produce financial reports for inputs into project financials, resource/headcount tracking and project planning / deliverables critical to financial planning and tracking + +•Other projects as needed for executive leadership + + + + +Job Description + + + + +We are looking for a candidate with strong Power BI data analytics and reporting skills to help us with a range of reporting needs (e.g. headcount tracking, financials, key process indicators (KPIs)). + +The ideal candidate would possess a minimum of 2 years of hands-on Power BI experience with a background in data engineering or data analysis, an understanding of database management, data modeling, data warehousing, SQL querying, business intelligence and online analytical processing (OLAP). + + + + +Key focus areas would include: + +o Experience in creating data-rich dashboards, implementing row-level security in Power BI, and writing data analysis expressions (DAX) + +o Experience in data analysis/visualization using charts, reports and Dashboards generated with PBI + +o Experience in data preparation and knowledge of best practices in the collection of data from various sources and the preparation of the data with the same dimensions and measurements for smooth analysis. + + + + +How to Apply: If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson & the clients we represent, value diversity and are committed to creating an inclusive workplace. We invite all qualified individuals to apply. + + + + +Robertson & the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment. + +Show more ","
    + + + + + +
    +
    +

    *** THIS ROLE IS WITH OUR CLIENT IN THE INSURANCE INDUSTRY***


    Title: Data Analyst II

    Duration: 12 months(with possibility of extension or conversion)

    Type: Hybrid based out of Toronto


    MUST HAVE:

    1. Power BI data analytics and reporting skills

    2. 2+ years of hands-on Power BI experience with a background in data engineering or data analysis

    3. An understanding of database management, data modeling, data warehousing, SQL querying, business intelligence and online analytical processing (OLAP)

    4. background in data engineering – SQL, programming, create visualization of data sets

    5. Understanding of Financial reporting

    6. Power Apps – RBI background

    7. Power Automate experience



    Candidate Value Proposition

    • The successful candidate’s work product will have visibility at Clients highest leadership levels, as the outputs are reported on a biweekly and monthly cadence to executive leadership.

    • Great opportunity for networking and exposure across all levels of client and work with cutting edge latest technology


    Typical Day in Role

    • Develop, manage, and report on key process indicators (KPIs) for biweekly and monthly reporting

    • Produce financial reports for inputs into project financials, resource/headcount tracking and project planning / deliverables critical to financial planning and tracking

    •Other projects as needed for executive leadership


    Job Description


    We are looking for a candidate with strong Power BI data analytics and reporting skills to help us with a range of reporting needs (e.g. headcount tracking, financials, key process indicators (KPIs)).

    The ideal candidate would possess a minimum of 2 years of hands-on Power BI experience with a background in data engineering or data analysis, an understanding of database management, data modeling, data warehousing, SQL querying, business intelligence and online analytical processing (OLAP).


    Key focus areas would include:

    o Experience in creating data-rich dashboards, implementing row-level security in Power BI, and writing data analysis expressions (DAX)

    o Experience in data analysis/visualization using charts, reports and Dashboards generated with PBI

    o Experience in data preparation and knowledge of best practices in the collection of data from various sources and the preparation of the data with the same dimensions and measurements for smooth analysis.


    How to Apply: If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson & the clients we represent, value diversity and are committed to creating an inclusive workplace. We invite all qualified individuals to apply.


    Robertson & the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +3960939194,https://ca.linkedin.com/jobs/view/icqa-data-analyst-bolton-on-yyz7-at-amazon-3960939194?position=14&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=%2F%2F4DTvYPB%2FuPeNMx2oBBIw%3D%3D&trk=public_jobs_jserp-result_search-card,"ICQA Data Analyst - Bolton, ON, YYZ7",Amazon,"Bolton, Ontario, Canada","Description + +At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate. + +Key job responsibilities + + +Development of data collection processes and data management systems +Maintenance of data integrity (0% error rate) +Designing of queries, compiling of data, and generation of reports in MS Excel +Charting and graphing of data for reporting purposes +In depth research of defect trends +Data collection and entry as needed +Data mining and problem solving +Back up for Process Assistant duties + + +Basic Qualifications + + +2+ years of professional or military experience +Experience with Microsoft Office products and applications + + +Preferred Qualifications + + +Experience with end-to-end project management + + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter. + + +Company - Amazon Canada Fulfillment Services, ULC. + +Job ID: A2684542 +Show more ","
    + + + + + +
    +
    + Description

    At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate.

    Key job responsibilities

    • Development of data collection processes and data management systems
    • Maintenance of data integrity (0% error rate)
    • Designing of queries, compiling of data, and generation of reports in MS Excel
    • Charting and graphing of data for reporting purposes
    • In depth research of defect trends
    • Data collection and entry as needed
    • Data mining and problem solving
    • Back up for Process Assistant duties

    Basic Qualifications

    • 2+ years of professional or military experience
    • Experience with Microsoft Office products and applications

    Preferred Qualifications

    • Experience with end-to-end project management

    Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.


    Company - Amazon Canada Fulfillment Services, ULC.

    Job ID: A2684542 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-10,[] +4007359029,https://ca.linkedin.com/jobs/view/analyst-data-analytics-at-ontario-health-sant%C3%A9-ontario-4007359029?position=15&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=CsNBAyGwjYYVr1to8l0iUw%3D%3D&trk=public_jobs_jserp-result_search-card,"Analyst, Data Analytics",Ontario Health | Santé Ontario,"Toronto, Ontario, Canada","At Ontario Health, we are committed to developing a strong organizational culture that connects and inspires all team members across the province. Our vision is that together, we will be a leader in health and wellness for all. Our mission is to connect the health system to drive improved and equitable health outcomes, experiences and value. How we work together is reflected through our five values: integrity, inspiration, tenacity, humility and care. + +What Ontario Health Offers + +Achieving your career goals is a priority to us. Benefits of working at Ontario Health may include the following based on employment type: + + +Fully paid medical, dental and vision coverage from your first day +Health care spending account +Premium defined benefit pension plan +3 personal days and 2 float days annually +Individual contributors start at 3 weeks’ vacation with 4 weeks at 2 yrs. +Career development opportunities +A collaborative values-based team culture +A wellness programs +A hybrid working model +Participation in Communities of Inclusion + + +Want to make a difference in your career?  Consider this opportunity. + +The Analyst, Data Analytics is a strategic and hands-on role that is central to the performance and analytics of an integrated provincial network encompassing over 50 public, hospital, and community laboratories. Reporting to the Manager, Performance Management & Analytics, the Analyst is tasked with developing insightful data analysis and reporting on emerging provincial laboratory medicine issues, high-priority initiatives, and testing programs. Utilizing Ontario’s health administrative databases and other analytical tools, the Analyst will not only support the creation of data visualizations and link variables to existing datasets but also provide expert advice on measurement and data collection strategies to enhance provincial data elements. + +In their capacity, the Analyst will conduct comprehensive evaluations of administrative and clinical datasets to identify and advise on quality gaps within Ontario’s health care system, comparing data and performance against other systems to drive improvements. They will synthesize findings from relevant research with their own analyses to inform analytical plans and reporting products, guiding decision-making and policy development. Furthermore, the Analyst will employ their technical acumen to resolve complex data issues, recommend actions, and collaborate with cross-functional teams to enhance data quality and support organizational initiatives. + +Here Is What You Will Be Doing + +Data Analysis & Reporting: + + +Conduct data analysis as it relates to laboratory testing for the Ontario Laboratory Medicine Program and leverages results to inform evidence-based decisions (e.g. testing KPIs, testing access points, lab capacity, specimen collection capacity, supply chain, workforce and risks) +Create analytic products (including performance standards, metrics, targets, scorecards, technical reports, plain language documentation, infographics, and decision-making tools) to support knowledge sharing and planning for OLMP +Draft high-quality communication such as slide decks, reports, briefing notes, data visualizations, and prepares agendas and takes minutes for meetings ensuring key stakeholders have access to accurate, relevant, clean, and timely information. +Performs detailed jurisdictional scans and literature reviews and prepares presentations that summarize findings as required. + + +Operational Support & Process Improvement + + +Provide operational support for issue resolution and service request management; when needed, perform root cause analysis; identify improvements, simplify, and document processes. +Prepares and organizes documents and materials for the development, implementation and communication of operational processes and procedures to support OLMP initiatives +Support the development of automated solutions to create standardized datasets, and increase efficiency for reporting and analytics + + +Collaboration & Initiative Support + + +Collaborates with team members and uses best available information to make impactful decisions that help successfully resolve issues related to performance and data analytics +Perform cross-functional and/or other duties consistent with the job classification, as assigned or requested +Contributes to organizational efforts and initiatives, as appropriate, to enhance Ontario Health's mission, values, and goals +Supports critical change and collaborates with team to effectively socialize and shape business intelligence rules, optimized data processes, and proactively identify and implement ongoing data quality improvement opportunities Supports implementation of OLMP initiatives +Transition tasks and collaborate with other team members, providing support to more junior analysts in completing operational reporting, ad hoc queries and data requests as required and may complete such reports +Ensure processes, analyses, and reporting products adhere to Ontario Health's data protection and privacy procedures + + +Here Is What You Will Need To Be Successful + +Education and Experience + + +Post-secondary degree in Health Informatics, Statistics Data Analytics, Operations Management or a related field; Master’s degree preferred +Project Management (PMP) Certification is an asset +3-5 years of experience in operations planning, business analytics or related roles within the health care sector +Laboratory-related experience is an asset + + +Knowledge and Skills + + +Team-oriented and dedicated to promoting team development, a positive work culture, and organizational health +Proficient in the use of statistical analysis tools (e.g., Python, R, Stata, SAS), relational database management (SQL), other analytical tools (e.g. Alteryx, VBA, Tableau) and Microsoft Office applications (e.g. Excel, PowerPoint, Word) +Excellent oral and written communication skills, including the ability to create effective presentations to address questions and prepare reports, proposals and position statements +Self-directed, with enthusiasm, initiative and demonstrated ability to work independently to deadlines +Project management skills that allow for implementing and managing multiple priorities at once +Ability to work well under pressure in a fast-paced, politically sensitive environment with a high degree of ambiguity and exercise high caliber judgment with an attention to detail +Comfortable working with a wide variety of datasets—in particular, Ontario Laboratory Information administrative datasets—and with investigating and planning analysis using new datasets + + +Employment Type: Permanent Full Time + +Salary Band: 4 + +Location: Ontario (currently hybrid; subject to change) + +All applicants must be a resident of Ontario to be considered for roles at Ontario Health. + +Internal Application Deadline Date: July 18, 2024 + +Ontario Health encourages applications from candidates who are First Nations, Métis, Inuit, and urban Indigenous; Francophone; Black and racialized; members of 2SLGBTQIA+ communities; trans and nonbinary; and disabled. + +We encourage applicants with accessibility needs to notify us if they have any accommodation needs in the application and/or interview process. +Show more ","
    + + + + + +
    +
    + At Ontario Health, we are committed to developing a strong organizational culture that connects and inspires all team members across the province. Our vision is that together, we will be a leader in health and wellness for all. Our mission is to connect the health system to drive improved and equitable health outcomes, experiences and value. How we work together is reflected through our five values: integrity, inspiration, tenacity, humility and care.

    What Ontario Health Offers

    Achieving your career goals is a priority to us. Benefits of working at Ontario Health may include the following based on employment type:

    • Fully paid medical, dental and vision coverage from your first day
    • Health care spending account
    • Premium defined benefit pension plan
    • 3 personal days and 2 float days annually
    • Individual contributors start at 3 weeks’ vacation with 4 weeks at 2 yrs.
    • Career development opportunities
    • A collaborative values-based team culture
    • A wellness programs
    • A hybrid working model
    • Participation in Communities of Inclusion

    Want to make a difference in your career?  Consider this opportunity.

    The Analyst, Data Analytics is a strategic and hands-on role that is central to the performance and analytics of an integrated provincial network encompassing over 50 public, hospital, and community laboratories. Reporting to the Manager, Performance Management & Analytics, the Analyst is tasked with developing insightful data analysis and reporting on emerging provincial laboratory medicine issues, high-priority initiatives, and testing programs. Utilizing Ontario’s health administrative databases and other analytical tools, the Analyst will not only support the creation of data visualizations and link variables to existing datasets but also provide expert advice on measurement and data collection strategies to enhance provincial data elements.

    In their capacity, the Analyst will conduct comprehensive evaluations of administrative and clinical datasets to identify and advise on quality gaps within Ontario’s health care system, comparing data and performance against other systems to drive improvements. They will synthesize findings from relevant research with their own analyses to inform analytical plans and reporting products, guiding decision-making and policy development. Furthermore, the Analyst will employ their technical acumen to resolve complex data issues, recommend actions, and collaborate with cross-functional teams to enhance data quality and support organizational initiatives.

    Here Is What You Will Be Doing

    Data Analysis & Reporting:

    • Conduct data analysis as it relates to laboratory testing for the Ontario Laboratory Medicine Program and leverages results to inform evidence-based decisions (e.g. testing KPIs, testing access points, lab capacity, specimen collection capacity, supply chain, workforce and risks)
    • Create analytic products (including performance standards, metrics, targets, scorecards, technical reports, plain language documentation, infographics, and decision-making tools) to support knowledge sharing and planning for OLMP
    • Draft high-quality communication such as slide decks, reports, briefing notes, data visualizations, and prepares agendas and takes minutes for meetings ensuring key stakeholders have access to accurate, relevant, clean, and timely information.
    • Performs detailed jurisdictional scans and literature reviews and prepares presentations that summarize findings as required.

    Operational Support & Process Improvement

    • Provide operational support for issue resolution and service request management; when needed, perform root cause analysis; identify improvements, simplify, and document processes.
    • Prepares and organizes documents and materials for the development, implementation and communication of operational processes and procedures to support OLMP initiatives
    • Support the development of automated solutions to create standardized datasets, and increase efficiency for reporting and analytics

    Collaboration & Initiative Support

    • Collaborates with team members and uses best available information to make impactful decisions that help successfully resolve issues related to performance and data analytics
    • Perform cross-functional and/or other duties consistent with the job classification, as assigned or requested
    • Contributes to organizational efforts and initiatives, as appropriate, to enhance Ontario Health's mission, values, and goals
    • Supports critical change and collaborates with team to effectively socialize and shape business intelligence rules, optimized data processes, and proactively identify and implement ongoing data quality improvement opportunities Supports implementation of OLMP initiatives
    • Transition tasks and collaborate with other team members, providing support to more junior analysts in completing operational reporting, ad hoc queries and data requests as required and may complete such reports
    • Ensure processes, analyses, and reporting products adhere to Ontario Health's data protection and privacy procedures

    Here Is What You Will Need To Be Successful

    Education and Experience

    • Post-secondary degree in Health Informatics, Statistics Data Analytics, Operations Management or a related field; Master’s degree preferred
    • Project Management (PMP) Certification is an asset
    • 3-5 years of experience in operations planning, business analytics or related roles within the health care sector
    • Laboratory-related experience is an asset

    Knowledge and Skills

    • Team-oriented and dedicated to promoting team development, a positive work culture, and organizational health
    • Proficient in the use of statistical analysis tools (e.g., Python, R, Stata, SAS), relational database management (SQL), other analytical tools (e.g. Alteryx, VBA, Tableau) and Microsoft Office applications (e.g. Excel, PowerPoint, Word)
    • Excellent oral and written communication skills, including the ability to create effective presentations to address questions and prepare reports, proposals and position statements
    • Self-directed, with enthusiasm, initiative and demonstrated ability to work independently to deadlines
    • Project management skills that allow for implementing and managing multiple priorities at once
    • Ability to work well under pressure in a fast-paced, politically sensitive environment with a high degree of ambiguity and exercise high caliber judgment with an attention to detail
    • Comfortable working with a wide variety of datasets—in particular, Ontario Laboratory Information administrative datasets—and with investigating and planning analysis using new datasets

    Employment Type: Permanent Full Time

    Salary Band: 4

    Location: Ontario (currently hybrid; subject to change)

    All applicants must be a resident of Ontario to be considered for roles at Ontario Health.

    Internal Application Deadline Date: July 18, 2024

    Ontario Health encourages applications from candidates who are First Nations, Métis, Inuit, and urban Indigenous; Francophone; Black and racialized; members of 2SLGBTQIA+ communities; trans and nonbinary; and disabled.

    We encourage applicants with accessibility needs to notify us if they have any accommodation needs in the application and/or interview process. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3969523560,https://ca.linkedin.com/jobs/view/analyst-data-solutions-at-klick-3969523560?position=20&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=NSkhrWMFcVkTXblXbd6V0w%3D%3D&trk=public_jobs_jserp-result_search-card,"Analyst, Data Solutions",Klick,"Toronto, Ontario, Canada","About Klick Health + +Meet a different kind of workplace. Klick Health is an ecosystem of brilliant minds working to realize the full potential of their people and clients in life sciences since 1997. And we’re still growing fast, even after two decades. What does that mean for you? As Klick experiences exponential growth year-over-year, so do the people who help make it happen. Because we’re constantly evolving and changing, we invest in talent early and often, to develop future leaders at all levels. We’re one of the country’s Top 10 Great Workplaces, 10 Most Inspiring Cultures, Best Workplace for Innovators, Best Managed, and Fastest Growing. We know that career paths are seldom simple and straightforward. And that's an asset. If you feel like you'd be a good fit for this role, we encourage you to apply and take the first steps to starting your career journey at Klick! + +As part of our Analytics team, you'll be at the forefront of the big data revolution, guiding marketing strategies for our diverse range of clients. If you're ready to unleash your creativity and expertise in a fast-paced environment, we invite you to embark on your career journey with us at Klick. + +As an integral part of our forward-thinking team, you'll collaborate closely with top-tier professionals to design, develop, and maintain cutting-edge data solutions. Embrace the challenge of handling growing datasets and navigating the ever-evolving media landscape, all while pushing the boundaries of digital transformation. + +This role isn't just about crunching numbers – it's about driving real impact by merging data solutions into client engagements and marketing sciences products. You'll work hand-in-hand with stakeholders to craft tailored solutions that meet our clients' unique needs, all while showcasing your expertise in both individual and team settings. Your code will serve as the bedrock of our service offering, ensuring optimal performance and maintenance of our systems. + +But it's not just about technical prowess – we're seeking individuals with insatiable curiosity, a drive to challenge the status quo, and a passion for uncovering insights that drive real change. If you're ready to dive deep, tackle complex challenges, and share your discoveries with peers and clients alike, then come join us on the forefront of analytics innovation. At Klick, your love for data will be celebrated and your potential truly unleashed. + +Responsibilities: + + +Work in a collaborative manner and Interact with other analytic team members, Data Analysts, Project Managers, and Business Analysts to learn project data needs and define project scope +Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals (Python and SQL) +Maintain enterprise data warehouse (Snowflake preferred but not required) +Build analytic products in the form of presentations, data outputs, system integrations, business intelligence platforms, and AI outputs +Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of code, queries, and data engineering processes (Git Management, SOP creation, Requirement Maintenance) + + + +Qualifications: + + +4-5 years’ of hands-on practical experience with a minimum of 2 years’ of experience in ETL processing to be used for data analysis and modeling +Minimum 2 years of working knowledge in Python and SQL is a must +Experience working with clickstream data sets and data lakes is a must +Ability to gather requirements from non technical stakeholders and clients +Experience with Business Intelligence platforms such as Power BI, Microsoft Fabric, and Tableau + + + +Bonus Points! + + +Healthcare experience +Post-secondary education in computer science +Demonstrate working knowledge in database design and management + + + +Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of colour, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. + +We’re also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience. + + +Show more ","
    + + + + + +
    +
    + About Klick Health

    Meet a different kind of workplace. Klick Health is an ecosystem of brilliant minds working to realize the full potential of their people and clients in life sciences since 1997. And we’re still growing fast, even after two decades. What does that mean for you? As Klick experiences exponential growth year-over-year, so do the people who help make it happen. Because we’re constantly evolving and changing, we invest in talent early and often, to develop future leaders at all levels. We’re one of the country’s Top 10 Great Workplaces, 10 Most Inspiring Cultures, Best Workplace for Innovators, Best Managed, and Fastest Growing. We know that career paths are seldom simple and straightforward. And that's an asset. If you feel like you'd be a good fit for this role, we encourage you to apply and take the first steps to starting your career journey at Klick!

    As part of our Analytics team, you'll be at the forefront of the big data revolution, guiding marketing strategies for our diverse range of clients. If you're ready to unleash your creativity and expertise in a fast-paced environment, we invite you to embark on your career journey with us at Klick.

    As an integral part of our forward-thinking team, you'll collaborate closely with top-tier professionals to design, develop, and maintain cutting-edge data solutions. Embrace the challenge of handling growing datasets and navigating the ever-evolving media landscape, all while pushing the boundaries of digital transformation.

    This role isn't just about crunching numbers – it's about driving real impact by merging data solutions into client engagements and marketing sciences products. You'll work hand-in-hand with stakeholders to craft tailored solutions that meet our clients' unique needs, all while showcasing your expertise in both individual and team settings. Your code will serve as the bedrock of our service offering, ensuring optimal performance and maintenance of our systems.

    But it's not just about technical prowess – we're seeking individuals with insatiable curiosity, a drive to challenge the status quo, and a passion for uncovering insights that drive real change. If you're ready to dive deep, tackle complex challenges, and share your discoveries with peers and clients alike, then come join us on the forefront of analytics innovation. At Klick, your love for data will be celebrated and your potential truly unleashed.

    Responsibilities:

    • Work in a collaborative manner and Interact with other analytic team members, Data Analysts, Project Managers, and Business Analysts to learn project data needs and define project scope
    • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals (Python and SQL)
    • Maintain enterprise data warehouse (Snowflake preferred but not required)
    • Build analytic products in the form of presentations, data outputs, system integrations, business intelligence platforms, and AI outputs
    • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of code, queries, and data engineering processes (Git Management, SOP creation, Requirement Maintenance)


    Qualifications:

    • 4-5 years’ of hands-on practical experience with a minimum of 2 years’ of experience in ETL processing to be used for data analysis and modeling
    • Minimum 2 years of working knowledge in Python and SQL is a must
    • Experience working with clickstream data sets and data lakes is a must
    • Ability to gather requirements from non technical stakeholders and clients
    • Experience with Business Intelligence platforms such as Power BI, Microsoft Fabric, and Tableau


    Bonus Points!

    • Healthcare experience
    • Post-secondary education in computer science
    • Demonstrate working knowledge in database design and management


    Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of colour, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities.

    We’re also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience.

     +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3995193737,https://ca.linkedin.com/jobs/view/staff-data-analyst-at-hellofresh-3995193737?position=22&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=wMQR2Qp0TvtmpZRVQZbSAw%3D%3D&trk=public_jobs_jserp-result_search-card,Staff Data Analyst,HelloFresh,"Toronto, Ontario, Canada","As a Staff Data Analyst, you will help drive the acquisition strategy of one of the fastest-growing e-commerce businesses in the US. Data-driven decision making is at the core of our company culture and you will have a fundamental part in extracting insights and shaping our success. You will work with marketing and analytics to build capabilities for one of the fastest-growing US food brands and be the champion of a data-centric approach to our marketing and digital product operations. You will work collaboratively with data engineering, business intelligence and data science, to provide effective and high impact insights to drive business performance. + +You will … + + +Complete proactive analysis of performance & brand marketing data to identify gaps and opportunities for KPI improvement (acquisition, CACs, brand awareness, LTV, etc.). +Work closely with senior management to understand business problems, identify opportunities for analysis, present clear action plans, and influence stakeholders to help drive forward key initiatives. +Drive forward innovative analysis approaches in order to solve some of the most challenging marketing data problems in the business. +Stay up-to-date with industry and market developments that might impact business performance. +Play a key role in driving the insights generated by the analytics team to tangible action and projects adopted by the rest of the marketing team. +Be a leading voice for the analytics department, supporting the broader US marketing team in understanding new metrics and teaching foundational analysis skills. +Work with other analytics departments, driving cross-team collaboration, best practice sharing, and insight generation. +Analyze customer data to identify pain points and opportunities in the customer journey, helping to determine customer segmentation and personalization strategies. +Actively support the marketing annual strategic planning process, from analysis to storytelling. + + +You are... + + +Results-oriented - You love transforming data into meaningful outcomes +Gritty - When you encounter obstacles you find creative solutions +Intellectually curious – You love to understand why things are the way they are, how things work, and challenge the status quo +A team player – You favor team victories over individual success +A structured problem solver – You possess strong organizational skills and consistently demonstrate a methodical approach to all your work +Agile – You thrive in fast-paced and dynamic environments and are comfortable working autonomously +A critical thinker – You use logic to identify opportunities, evaluate alternatives, and synthesize and present critical information to solve complex problems + + +At a minimum, you have... + + +6+ years in a highly analytical role (bonus if you’ve worked in a Start-Up or in a high-growth environment) +Expert abilities in Excel, SQL and python, and the ability to use statistical modeling techniques for robust analysis +A strong business acumen and can translate insights into actionable recommendations that align with business objectives +Ability to support, mentor and work collaboratively with other junior team members to drive forward high quality and thoughtful analysis +Expertise in data visualization and data storytelling, including experience with dashboarding tools (Tableau preferred) +Experience working with a range of business stakeholders and communicating technical results in business language +A BS in computer science, mathematics, economics, statistics, engineering, or similar program + + +You’ll get… + + +Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box +Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships +Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. +Family Benefits - A parental leave top-up program for expectant parents +Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund +Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun! +Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion effort + + +This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors. + +JR101450 +Show more ","
    + + + + + +
    +
    + As a Staff Data Analyst, you will help drive the acquisition strategy of one of the fastest-growing e-commerce businesses in the US. Data-driven decision making is at the core of our company culture and you will have a fundamental part in extracting insights and shaping our success. You will work with marketing and analytics to build capabilities for one of the fastest-growing US food brands and be the champion of a data-centric approach to our marketing and digital product operations. You will work collaboratively with data engineering, business intelligence and data science, to provide effective and high impact insights to drive business performance.

    You will …

    • Complete proactive analysis of performance & brand marketing data to identify gaps and opportunities for KPI improvement (acquisition, CACs, brand awareness, LTV, etc.).
    • Work closely with senior management to understand business problems, identify opportunities for analysis, present clear action plans, and influence stakeholders to help drive forward key initiatives.
    • Drive forward innovative analysis approaches in order to solve some of the most challenging marketing data problems in the business.
    • Stay up-to-date with industry and market developments that might impact business performance.
    • Play a key role in driving the insights generated by the analytics team to tangible action and projects adopted by the rest of the marketing team.
    • Be a leading voice for the analytics department, supporting the broader US marketing team in understanding new metrics and teaching foundational analysis skills.
    • Work with other analytics departments, driving cross-team collaboration, best practice sharing, and insight generation.
    • Analyze customer data to identify pain points and opportunities in the customer journey, helping to determine customer segmentation and personalization strategies.
    • Actively support the marketing annual strategic planning process, from analysis to storytelling.

    You are...

    • Results-oriented - You love transforming data into meaningful outcomes
    • Gritty - When you encounter obstacles you find creative solutions
    • Intellectually curious – You love to understand why things are the way they are, how things work, and challenge the status quo
    • A team player – You favor team victories over individual success
    • A structured problem solver – You possess strong organizational skills and consistently demonstrate a methodical approach to all your work
    • Agile – You thrive in fast-paced and dynamic environments and are comfortable working autonomously
    • A critical thinker – You use logic to identify opportunities, evaluate alternatives, and synthesize and present critical information to solve complex problems

    At a minimum, you have...

    • 6+ years in a highly analytical role (bonus if you’ve worked in a Start-Up or in a high-growth environment)
    • Expert abilities in Excel, SQL and python, and the ability to use statistical modeling techniques for robust analysis
    • A strong business acumen and can translate insights into actionable recommendations that align with business objectives
    • Ability to support, mentor and work collaboratively with other junior team members to drive forward high quality and thoughtful analysis
    • Expertise in data visualization and data storytelling, including experience with dashboarding tools (Tableau preferred)
    • Experience working with a range of business stakeholders and communicating technical results in business language
    • A BS in computer science, mathematics, economics, statistics, engineering, or similar program

    You’ll get…

    • Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box
    • Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships
    • Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
    • Family Benefits - A parental leave top-up program for expectant parents
    • Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund
    • Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
    • Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion effort

    This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

    JR101450 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +4007848813,https://ca.linkedin.com/jobs/view/data-analy-at-chive-inc-4007848813?position=24&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=y24q8JIcS%2BRC3aQ%2BkF%2FDRw%3D%3D&trk=public_jobs_jserp-result_search-card,Data & Analy,chive inc,"Toronto, Ontario, Canada","NERD NEEDED. + +DATA + ANALYTICS MANAGER.  $75-$85K year plus bonus + + + + + + + +Chive is a creative company. We design our own lines of plant pots and vases, candles and cards. Since we started in 2004, we’ve expanded from Toronto to California and England by being driven by design and refusing to deal with the vanilla -loving multinationals. + +Now we need a data and analytics manager to help us run our entire digital output, across social, email marketing and Shopify. You’ll also be the point person for our overseas team on all our digital output and for pushing out new product information to all 5 Shopify stores. (Please note this is not a content creator/ creative position.) + + + + +Here are the skills we’re looking for. + + + + +10+ years of relevant experience required. +Expert understanding of how to create, manage, and analyze Meta, Etsy and Pinterest advertising campaigns as well as connecting  accounts with existing Shopify stores. +Full understanding of Google Analytics, Search Console, Ads, Local Business and Klaviyo email marketing with a focus on analytics and performance +Shopify expert. Must understand Shopify analytics and how to improve site performance across all analytics +Knowledge of how Amazon S3 Photo bucket is a plus. Must be able to assist our outside partner with Photo bucket management. +Understanding of Amazon Seller Account functionality and analytics is a big plus. +Own the accuracy of data across all 5 websites. Direct team on how to correct errors when they are found. +The ability to fully understand how our systems operate and the order of operations for adding new data. + + + + +Show more ","
    + + + + + +
    +
    +

    NERD NEEDED.

    DATA + ANALYTICS MANAGER.  $75-$85K year plus bonus



    Chive is a creative company. We design our own lines of plant pots and vases, candles and cards. Since we started in 2004, we’ve expanded from Toronto to California and England by being driven by design and refusing to deal with the vanilla -loving multinationals.

    Now we need a data and analytics manager to help us run our entire digital output, across social, email marketing and Shopify. You’ll also be the point person for our overseas team on all our digital output and for pushing out new product information to all 5 Shopify stores. (Please note this is not a content creator/ creative position.)


    Here are the skills we’re looking for.


    • 10+ years of relevant experience required.
    • Expert understanding of how to create, manage, and analyze Meta, Etsy and Pinterest advertising campaigns as well as connecting  accounts with existing Shopify stores.
    • Full understanding of Google Analytics, Search Console, Ads, Local Business and Klaviyo email marketing with a focus on analytics and performance
    • Shopify expert. Must understand Shopify analytics and how to improve site performance across all analytics
    • Knowledge of how Amazon S3 Photo bucket is a plus. Must be able to assist our outside partner with Photo bucket management.
    • Understanding of Amazon Seller Account functionality and analytics is a big plus.
    • Own the accuracy of data across all 5 websites. Direct team on how to correct errors when they are found.
    • The ability to fully understand how our systems operate and the order of operations for adding new data.


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3995439564,https://ca.linkedin.com/jobs/view/business-data-analyst-at-raise-3995439564?position=25&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=IzLWBITnjZ5B7Xz0REoGxQ%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst,Raise,"Toronto, Ontario, Canada","Senior Business Analyst - Data Analytics + +Location: Scarborough, ON - Hybrid (1-2 days/per week in the office) + +Contract Length: 2 Months with possibility for extension. + + + + +We at Raise are hiring a Senior Business Analyst - Data Analytics for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. + + + + +We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work. + + + + +Responsibilities: + +Works with key stakeholders within all business functions to align technology solutions with business strategies. +Responsible for relationship management working to establish productive relationships between various leaders, departments and partners across the organization. +Able to be flexible/adaptable in exercising judgment in a changing environment and to manage competing priorities. +Gathers requirements from business units. +Visualize information depending on the stage of the project. +Perform different activities during the project lifecycle such as testing and a variety of task business analyses related. +Solutions-oriented and ability to develop and create innovative solutions to critical business or organizational data issues. +Strong analytical skills with amplitude for generating insights through an evidence-based thought process. + +Candidate Requirements/Must Have Skills: + +8+ years of Experience as a Business Analyst driving end to end project delivery with a focus on data analytics, business and IT stakeholder management, and process improvement. +3+ years of Experience in developing and producing KPI, KRI. +3+ years of Experience with Power BI, SQL, and advance Excel skills. +Knowledge of SWIFT payment is mandatory. + +Nice-To-Have Skills: + +Previous experience working in Financial Industry. +Previous experience in project management, tracking project progression. +Previous Experience working with payments. +Previous experience with Confluence and JIRA. + +Education: + +Undergraduate degree in Business, Economics, Finance, Engineering, Mathematics, or another related field. + +Show more ","
    + + + + + +
    +
    +

    Senior Business Analyst - Data Analytics

    Location: Scarborough, ON - Hybrid (1-2 days/per week in the office)

    Contract Length: 2 Months with possibility for extension.


    We at Raise are hiring a Senior Business Analyst - Data Analytics for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand.


    We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work.


    Responsibilities:

    • Works with key stakeholders within all business functions to align technology solutions with business strategies.
    • Responsible for relationship management working to establish productive relationships between various leaders, departments and partners across the organization.
    • Able to be flexible/adaptable in exercising judgment in a changing environment and to manage competing priorities.
    • Gathers requirements from business units.
    • Visualize information depending on the stage of the project.
    • Perform different activities during the project lifecycle such as testing and a variety of task business analyses related.
    • Solutions-oriented and ability to develop and create innovative solutions to critical business or organizational data issues.
    • Strong analytical skills with amplitude for generating insights through an evidence-based thought process.

    Candidate Requirements/Must Have Skills:

    • 8+ years of Experience as a Business Analyst driving end to end project delivery with a focus on data analytics, business and IT stakeholder management, and process improvement.
    • 3+ years of Experience in developing and producing KPI, KRI.
    • 3+ years of Experience with Power BI, SQL, and advance Excel skills.
    • Knowledge of SWIFT payment is mandatory.

    Nice-To-Have Skills:

    • Previous experience working in Financial Industry.
    • Previous experience in project management, tracking project progression.
    • Previous Experience working with payments.
    • Previous experience with Confluence and JIRA.

    Education:

    • Undergraduate degree in Business, Economics, Finance, Engineering, Mathematics, or another related field.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4006662357,https://ca.linkedin.com/jobs/view/data-science-analyst-risk-at-ebay-4006662357?position=26&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=iKxjNu5NbA6dP%2F98g%2BzgLA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Analyst - Risk,eBay,"Toronto, Ontario, Canada","At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. + +Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. + +Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. + + +Must Reside in Ontario *** +Hybrid schedule, 1-2 days a week in office at Toronto Site *** + + + +About The Team And Role + +We are looking to hire a Data Scientist to partner with eBay's Risk teams. As a critical member of the Product Analytics and Insights team, this individual will have the unique opportunity to influence decision making and roadmaps, directly impacting what customers experience on our platform and help making eBay a more trustworthy marketplace for our buyers and sellers. With a vision to find opportunities to drive transformative change in the customer experience and significant business growth, we mine the largest datasets in the world of e-Commerce and use best in class analytics and big data techniques to extract impactful insights. We achieve this by working closely with Product, Engineering and Business teams; and identify new opportunities that can be added to the product roadmaps. + +What You Will Accomplish + + +Work with large and complex data sets to solve a wide array of challenging problems demonstrating different analytical and statistical approaches. +Work with cross-functional partners to Influence product strategy and investment decisions with data driven insights and recommendations, be focused on impact and collaborate with other teams. +Use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to our customers and our business. +Help develop strategy and support leadership in prioritizing what to build and setting goals for execution. +Build thought partnership with product leadership to drive data-driven decisions. + + + +What You Will Bring + + +BS/BA degree in Statistics, Applied Econometrics, Math, Physics, Computer Science, other related Core Sciences or equivalent. +2+ years relevant professional experience or Master’s degree and 1+ yr. +Excellent SQL skills. Experience with other programming/scripting languages (Python, R, Julia etc.) to extract/manipulate data. +Intellectual curiosity and ability to balance attention to detail and big picture vision. +Willingness to get out of your comfort zone, continuously learn about new business functions, datasets, and tools. + + + +Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. + +eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. + +Jobs posted with location as ""Remote - United States (Excludes: HI, NM)"" excludes residents of Hawaii and New Mexico. + +This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. + + +Show more ","
    + + + + + +
    +
    + At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

    Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

    Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

    • Must Reside in Ontario ***
    • Hybrid schedule, 1-2 days a week in office at Toronto Site ***


    About The Team And Role

    We are looking to hire a Data Scientist to partner with eBay's Risk teams. As a critical member of the Product Analytics and Insights team, this individual will have the unique opportunity to influence decision making and roadmaps, directly impacting what customers experience on our platform and help making eBay a more trustworthy marketplace for our buyers and sellers. With a vision to find opportunities to drive transformative change in the customer experience and significant business growth, we mine the largest datasets in the world of e-Commerce and use best in class analytics and big data techniques to extract impactful insights. We achieve this by working closely with Product, Engineering and Business teams; and identify new opportunities that can be added to the product roadmaps.

    What You Will Accomplish

    • Work with large and complex data sets to solve a wide array of challenging problems demonstrating different analytical and statistical approaches.
    • Work with cross-functional partners to Influence product strategy and investment decisions with data driven insights and recommendations, be focused on impact and collaborate with other teams.
    • Use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to our customers and our business.
    • Help develop strategy and support leadership in prioritizing what to build and setting goals for execution.
    • Build thought partnership with product leadership to drive data-driven decisions.


    What You Will Bring

    • BS/BA degree in Statistics, Applied Econometrics, Math, Physics, Computer Science, other related Core Sciences or equivalent.
    • 2+ years relevant professional experience or Master’s degree and 1+ yr.
    • Excellent SQL skills. Experience with other programming/scripting languages (Python, R, Julia etc.) to extract/manipulate data.
    • Intellectual curiosity and ability to balance attention to detail and big picture vision.
    • Willingness to get out of your comfort zone, continuously learn about new business functions, datasets, and tools.


    Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

    eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

    Jobs posted with location as ""Remote - United States (Excludes: HI, NM)"" excludes residents of Hawaii and New Mexico.

    This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-24,[] +3991905426,https://ca.linkedin.com/jobs/view/data-insights-analyst-at-cineplex-3991905426?position=28&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=QY7D0VZgIKishlM6zhqaEA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Insights Analyst,Cineplex,"Toronto, Ontario, Canada","Work location: + +Home Office 1303 Yonge St + +City: + +Toronto + +What you will do: + +Data Insights Analyst + +Hybrid position working from the Cineplex corporate office at 1303 Yonge Street, Toronto (Yonge, south of St. Clair) 3 days per week. + +The Data Insights Analyst will join the Data Science & Insights team that empowers the Cineplex organization to optimize and delight the customer experience with data-informed insights and capabilities. + +The successful candidate will play a pivotal role in evolving Cineplex’s ability to extract and present actionable data insights to key stakeholders in order to better understand and improve the end-to-end customer experience across Cineplex’s digital and offline channels. The Analyst is responsible for collaborating with product and design teams to support their KPIs and dashboard requirements, and communicating actionable insights to key stakeholders in order to improve the customer experience. + +Key Responsibilities: + +Technical & Business Expertise + + +Provide analytical expertise of the customer and digital data ecosystem with a strong command of data analysis techniques and data collection processes +Develop and maintain user-friendly dashboards, scorecards, and presentations that clearly highlight the actionable insights and opportunities +Understand the “big picture” and how customer and market insights tie back to business priorities + + +Inspiring & Influencing + + +Be the subject matter expert to represent the customer data and digital analytics function on cross-functional product teams +Influence and use data insights to tell stories through distilling complex concepts into simple themes that are relevant to key stakeholders, teams, and executives + + +Teamwork & Collaboration + + +Collaborate closely with a variety of product development teams to define their business and data requirements to better understand the performance and effectiveness of various strategic priorities +Gather and prioritize net new data requests from key stakeholders to the data engineering and data science teams based on business value + + +Education and Certification: + + +Bachelor’s or equivalent degrees in economics, computer science, engineering, or similar fields with a quantitative focus + + +Experience Needed: + + +3-5 years’ experience with building data models, querying/organizing large datasets, and visualizing data into dashboards (i.e. SQL/databases, Power BI, Tableau, Excel, etc.) is required. +3-5 years’ experience working with Adobe Analytics and/or Google Analytics is required. +3-5 years’ experience with interpreting and presenting insights to a variety of stakeholders with varying data competencies, including executives +Experience with other Adobe products is considered an asset (i.e. Target, Launch, Experience Platform) + + +Knowledge, Skills and Abilities: + + +High proficiency in data storytelling and presentation, written, and verbal communication skills to executives and multiple stakeholder teams +Strong planning and organizational skills with the ability to perform effectively in an environment with many competing demands +Deep understanding of market research and analytics to ensure our analytics and insights practice is the gold standard in the industry +Familiar with agile methodology and practices +Proven ability to work creatively and analytically in a problem-solving environment +Comfortable to challenge the status quo enabling effective decision making + + +Inclusion & Diversity + +Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce. We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture. By valuing a diverse workforce, we enforce hiring practices that are fair and equitable. + +Accessibility + +We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment oporunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at 416-323-6600 or via email at jobs@cineplex.com. + +While we appreciate all interest, only those candidates selected for an interview will be contacted. +Show more ","
    + + + + + +
    +
    + Work location:

    Home Office 1303 Yonge St

    City:

    Toronto

    What you will do:

    Data Insights Analyst

    Hybrid position working from the Cineplex corporate office at 1303 Yonge Street, Toronto (Yonge, south of St. Clair) 3 days per week.

    The Data Insights Analyst will join the Data Science & Insights team that empowers the Cineplex organization to optimize and delight the customer experience with data-informed insights and capabilities.

    The successful candidate will play a pivotal role in evolving Cineplex’s ability to extract and present actionable data insights to key stakeholders in order to better understand and improve the end-to-end customer experience across Cineplex’s digital and offline channels. The Analyst is responsible for collaborating with product and design teams to support their KPIs and dashboard requirements, and communicating actionable insights to key stakeholders in order to improve the customer experience.

    Key Responsibilities:

    Technical & Business Expertise

    • Provide analytical expertise of the customer and digital data ecosystem with a strong command of data analysis techniques and data collection processes
    • Develop and maintain user-friendly dashboards, scorecards, and presentations that clearly highlight the actionable insights and opportunities
    • Understand the “big picture” and how customer and market insights tie back to business priorities

    Inspiring & Influencing

    • Be the subject matter expert to represent the customer data and digital analytics function on cross-functional product teams
    • Influence and use data insights to tell stories through distilling complex concepts into simple themes that are relevant to key stakeholders, teams, and executives

    Teamwork & Collaboration

    • Collaborate closely with a variety of product development teams to define their business and data requirements to better understand the performance and effectiveness of various strategic priorities
    • Gather and prioritize net new data requests from key stakeholders to the data engineering and data science teams based on business value

    Education and Certification:

    • Bachelor’s or equivalent degrees in economics, computer science, engineering, or similar fields with a quantitative focus

    Experience Needed:

    • 3-5 years’ experience with building data models, querying/organizing large datasets, and visualizing data into dashboards (i.e. SQL/databases, Power BI, Tableau, Excel, etc.) is required.
    • 3-5 years’ experience working with Adobe Analytics and/or Google Analytics is required.
    • 3-5 years’ experience with interpreting and presenting insights to a variety of stakeholders with varying data competencies, including executives
    • Experience with other Adobe products is considered an asset (i.e. Target, Launch, Experience Platform)

    Knowledge, Skills and Abilities:

    • High proficiency in data storytelling and presentation, written, and verbal communication skills to executives and multiple stakeholder teams
    • Strong planning and organizational skills with the ability to perform effectively in an environment with many competing demands
    • Deep understanding of market research and analytics to ensure our analytics and insights practice is the gold standard in the industry
    • Familiar with agile methodology and practices
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Comfortable to challenge the status quo enabling effective decision making

    Inclusion & Diversity

    Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce. We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture. By valuing a diverse workforce, we enforce hiring practices that are fair and equitable.

    Accessibility

    We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment oporunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at 416-323-6600 or via email at jobs@cineplex.com.

    While we appreciate all interest, only those candidates selected for an interview will be contacted. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-04,[] +4000711050,https://ca.linkedin.com/jobs/view/data-analyst-with-exp-analyzing-data-on-video-device-at-zortech-solutions-4000711050?position=31&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=NdR6e4GDYr9sdhPNYRuXJg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst with exp analyzing data on Video Device,Zortech Solutions,"Toronto, Ontario, Canada","Hi, + +Hope you are doing Great!!! + +This side Priya Rajput from Zortech Solutions trying to reach you for an exciting job opening, kindly have a look to job description and revert me with your positive feedback. My mail ID is priya@zortechsolutions.ca or call me on +1 (437) 370-7612. + +Role: Data Analyst with exp analyzing data on Video Device + +Location: Remote/Canada + +Duration: 6-12 Months + +Job Description + + +Develop and optimize accurate, high performing data pipelines using GCP platform +SQL, BI layers, BigQuery, Dataflow, Kafka. +code in JavaScript or Python. +RESTful services. + + +Great-to-haves (Almost a Must) + + +Device management protocols such as TR-069 and TR-369. +Messaging and streaming technologies such as STOMP, MQTT, AMQP. +Practical experience in delivering best-in-class video entertainment experiences +JIRA and Confluence knowledge +Experience with CI/CD using technologies like GitHub Actions + + +-- + +Thanks & Regards + +Priya Rajput | Account Manager + +Email- priya@zortechsolutions.ca + +2600 Skymark Ave, Building 7 Suite 104, Mississauga Ontario, L4W 5B2 Canada. + +The information contained in this electronic message and any attachments to this message are intended for the exclusive use of the addressee(s) and may contain proprietary, confidential or privileged information. If you are not the intended recipient, you should not disseminate, distribute or copy this e-mail. Please notify the sender immediately and destroy all copies of this message and any attachments. The views expressed in this E-mail message (including the enclosure/(s) or attachment/(s) if any) are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of ZorTech Solutions Inc. Before opening any e-mail and attachments please check them for viruses. ZorTech Solutions Inc does not accept any liability for virus infected mails. +Show more ","
    + + + + + +
    +
    + Hi,

    Hope you are doing Great!!!

    This side Priya Rajput from Zortech Solutions trying to reach you for an exciting job opening, kindly have a look to job description and revert me with your positive feedback. My mail ID is priya@zortechsolutions.ca or call me on +1 (437) 370-7612.

    Role: Data Analyst with exp analyzing data on Video Device

    Location: Remote/Canada

    Duration: 6-12 Months

    Job Description

    • Develop and optimize accurate, high performing data pipelines using GCP platform
    • SQL, BI layers, BigQuery, Dataflow, Kafka.
    • code in JavaScript or Python.
    • RESTful services.

    Great-to-haves (Almost a Must)

    • Device management protocols such as TR-069 and TR-369.
    • Messaging and streaming technologies such as STOMP, MQTT, AMQP.
    • Practical experience in delivering best-in-class video entertainment experiences
    • JIRA and Confluence knowledge
    • Experience with CI/CD using technologies like GitHub Actions

    --

    Thanks & Regards

    Priya Rajput | Account Manager

    Email- priya@zortechsolutions.ca

    2600 Skymark Ave, Building 7 Suite 104, Mississauga Ontario, L4W 5B2 Canada.

    The information contained in this electronic message and any attachments to this message are intended for the exclusive use of the addressee(s) and may contain proprietary, confidential or privileged information. If you are not the intended recipient, you should not disseminate, distribute or copy this e-mail. Please notify the sender immediately and destroy all copies of this message and any attachments. The views expressed in this E-mail message (including the enclosure/(s) or attachment/(s) if any) are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of ZorTech Solutions Inc. Before opening any e-mail and attachments please check them for viruses. ZorTech Solutions Inc does not accept any liability for virus infected mails. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3995653557,https://ca.linkedin.com/jobs/view/senior-data-analyst-at-ltimindtree-3995653557?position=32&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=KYZKY35lGIGqmw9a14tYSg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,LTIMindtree,"Markham, Ontario, Canada","About Us: + +LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com. + +Job Title: + +Senior Data Analyst + + + + +Work Location + +Markham, CA + + + + +Job Description: + +We are seeking a collaborative and resourceful Senior Data Systems Analyst for our fastpaced Information Technology Enterprise Data Services Delivery function at Client’s Canada You will be part of the data systems analysis team and help scale the data and analytics capabilities You will be responsible for being a liaison between various business units and technical data teams Youll be required to apply your depth of knowledge and expertise to all areas including requirements documentation road mapping data analysis and data analytics Further you will be part of the data transformation initiatives to help Client’s build the right data mindset to enable our directtoconsumer business data science capabilities and expand our digital footprint + + + + +Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): + + + + +Benefits and Perks: + +Comprehensive Medical Plan Covering Medical, Dental, Vision + +Short Term and Long-Term Disability Coverage + +401(k) Plan with Company match + +Life Insurance + +Vacation Time, Sick Leave, Paid Holidays + +Paid Paternity and Maternity Leave + + + + +The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. + + + + +Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. + + + + +LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. + +Safe return to office: + +In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes. + +Show more ","
    + + + + + +
    +
    +

    About Us:

    LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com.

    Job Title:

    Senior Data Analyst


    Work Location

    Markham, CA


    Job Description:

    We are seeking a collaborative and resourceful Senior Data Systems Analyst for our fastpaced Information Technology Enterprise Data Services Delivery function at Client’s Canada You will be part of the data systems analysis team and help scale the data and analytics capabilities You will be responsible for being a liaison between various business units and technical data teams Youll be required to apply your depth of knowledge and expertise to all areas including requirements documentation road mapping data analysis and data analytics Further you will be part of the data transformation initiatives to help Client’s build the right data mindset to enable our directtoconsumer business data science capabilities and expand our digital footprint


    Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):


    Benefits and Perks:

    Comprehensive Medical Plan Covering Medical, Dental, Vision

    Short Term and Long-Term Disability Coverage

    401(k) Plan with Company match

    Life Insurance

    Vacation Time, Sick Leave, Paid Holidays

    Paid Paternity and Maternity Leave


    The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.


    Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.


    LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

    Safe return to office:

    In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +4000239374,https://ca.linkedin.com/jobs/view/data-analyst-at-cpa-ontario-4000239374?position=35&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=GP1aHhO5JmhylnQEKXZl7Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,CPA Ontario,"Greater Toronto Area, Canada","Bring your Knowledge of Power BI and Data Analysis + +To our Information Technology Team + + + + +CPA Ontario is currently in search of a Data Analyst who will be responsible for extracting, analyzing, and interpreting financial data from various sources to support strategic decision-making and operational initiatives. As part of our Enterprise Architecture team, you will work closely with other cross-functional departments including IT, Finance and Operations, collaborating with business stakeholders to provide actionable insights and recommendations. As a Data Analyst you will be accountable for understanding data needs, working to design and develop reports and dashboards, and conducting thorough data analysis to identify trends, patterns, and opportunities for improvement. + + + + +What You’ll Be Doing: + +Working collaboratively with business stakeholders within IT, Business Intelligence and Finance departments and other operational teams to understand business requirements and translate them into data-driven solutions. + + + + +Extracting, cleaning, and manipulating large datasets from multiple sources including financial databases, CRM systems, ERP systems, and spreadsheets. + + + + +Performing analysis of data to identify trends, anomalies, and opportunities for improvement. + + + + +Designing and developing reports, dashboards, and data visualizations to present findings in a clear and concise manner. + + + + +Preparing regular and ad-hoc reports and dashboards to communicate findings to stakeholders. + + + + +Conducting variance analysis and performance reporting to support budgeting and forecasting processes. + + + + +Assisting in the design and implementation of data collection systems and strategies to optimize efficiency and data quality. + + + + +Administering, monitoring, supporting and maintaining SQL servers in our environment. + + + + +Staying current in industry trends and best practices in data analysis and modeling. + + + + +Who You Are: + +A post-secondary graduate preferably in information systems, information technology, computer science, or related field. + + + + +Experienced in working with databases and ERP systems with a minimum of 3 years’ experience in a Data Analyst role. + + + + +Proficient in SQL, Microsoft Excel and data processing tools and software – in particular Power BI. + + + + +Proficient in Microsoft Dynamics 365 and SharePoint. Experience with Salesforce or other CRM considered an asset. + + + + +Highly organized and able to manage projects and timelines within tight deadlines in a fast-paced environment. + + + + +Able to work efficiently and effectively as a team member, as well as independently. + + + + +An excellent communicator with the ability to convey ideas succinctly and conveying complex findings and insights to technical and non-technical stakeholders with ease. + + + + +A self-starter with excellent problem-solving skills and the ability to think analytically about solutions. + + + + +Committed to ongoing training and a desire to learn new skills and continually expand upon knowledge and expertise. + + + + +What We Offer: + +A fast-paced environment. Collaboration, innovation and passionate professionals are at our core. We relentlessly pursue what’s next to unlock the full potential of you and us together. + + + + +Flexible work environments. As part of our Hybrid work culture, we provide flexible, remote work options to support you in your career, in addition to in-office teamwork and collaboration. + + + + +Diversity and inclusion. We recognize the value in our differences and prioritize inclusivity to bring together the best talent to protect the public, advance the profession and enable CPAs to lead business and society forward. + + + + +Ongoing learning and career growth. We want your career to skyrocket. We support career advancement and professional development opportunities with learning investments to promote your future growth. Thrive with us. + + + + +Focus on your well-being. With industry leading benefits and wellness programs, including a healthy lifestyle allowance, mental health resources and more, we’re committed to your well-being. + + + + +Who We Are: + +We protect the public. We advance the profession. We enable CPAs to lead business and society forward. We ensure that our 103,000 members and 18,000 students meet the highest standards of integrity and expertise. We help them stay ahead of global market trends and abreast of regulatory change. CPAs represent a globally recognized, premium designation. Our Chartered Professional Accountants are valued by organizations in all industries for their financial expertise, strategic thinking, management skills and leadership. We believe that success happens when both business and society benefit. For information on the profession visit: cpaontario.ca. + + + + +We Appreciate Your Interest In CPA Ontario And This Position: + +At CPA Ontario, we are committed to building high-performance teams. Our selection process is thorough, and all candidate applications are reviewed. Should your qualifications and experience meet the requirements of this role, a member of our recruitment team will contact you. We encourage you to set up CPA Ontario job alerts for positions that align to your experience and career goals. + + + + +CPA Ontario is an inclusive employer. Accommodation is available under the Ontario Human Rights Code. If you require a disability-related accommodation to participate in the recruitment process, please email accessibility@cpaontario.ca with “Accommodation Required” in the subject line to provide your contact information. A member of the Recruitment team will contact you within 48 hours. + +Show more ","
    + + + + + +
    +
    +

    Bring your Knowledge of Power BI and Data Analysis

    To our Information Technology Team


    CPA Ontario is currently in search of a Data Analyst who will be responsible for extracting, analyzing, and interpreting financial data from various sources to support strategic decision-making and operational initiatives. As part of our Enterprise Architecture team, you will work closely with other cross-functional departments including IT, Finance and Operations, collaborating with business stakeholders to provide actionable insights and recommendations. As a Data Analyst you will be accountable for understanding data needs, working to design and develop reports and dashboards, and conducting thorough data analysis to identify trends, patterns, and opportunities for improvement.


    What You’ll Be Doing:

    Working collaboratively with business stakeholders within IT, Business Intelligence and Finance departments and other operational teams to understand business requirements and translate them into data-driven solutions.


    Extracting, cleaning, and manipulating large datasets from multiple sources including financial databases, CRM systems, ERP systems, and spreadsheets.


    Performing analysis of data to identify trends, anomalies, and opportunities for improvement.


    Designing and developing reports, dashboards, and data visualizations to present findings in a clear and concise manner.


    Preparing regular and ad-hoc reports and dashboards to communicate findings to stakeholders.


    Conducting variance analysis and performance reporting to support budgeting and forecasting processes.


    Assisting in the design and implementation of data collection systems and strategies to optimize efficiency and data quality.


    Administering, monitoring, supporting and maintaining SQL servers in our environment.


    Staying current in industry trends and best practices in data analysis and modeling.


    Who You Are:

    A post-secondary graduate preferably in information systems, information technology, computer science, or related field.


    Experienced in working with databases and ERP systems with a minimum of 3 years’ experience in a Data Analyst role.


    Proficient in SQL, Microsoft Excel and data processing tools and software – in particular Power BI.


    Proficient in Microsoft Dynamics 365 and SharePoint. Experience with Salesforce or other CRM considered an asset.


    Highly organized and able to manage projects and timelines within tight deadlines in a fast-paced environment.


    Able to work efficiently and effectively as a team member, as well as independently.


    An excellent communicator with the ability to convey ideas succinctly and conveying complex findings and insights to technical and non-technical stakeholders with ease.


    A self-starter with excellent problem-solving skills and the ability to think analytically about solutions.


    Committed to ongoing training and a desire to learn new skills and continually expand upon knowledge and expertise.


    What We Offer:

    A fast-paced environment. Collaboration, innovation and passionate professionals are at our core. We relentlessly pursue what’s next to unlock the full potential of you and us together.


    Flexible work environments. As part of our Hybrid work culture, we provide flexible, remote work options to support you in your career, in addition to in-office teamwork and collaboration.


    Diversity and inclusion. We recognize the value in our differences and prioritize inclusivity to bring together the best talent to protect the public, advance the profession and enable CPAs to lead business and society forward.


    Ongoing learning and career growth. We want your career to skyrocket. We support career advancement and professional development opportunities with learning investments to promote your future growth. Thrive with us.


    Focus on your well-being. With industry leading benefits and wellness programs, including a healthy lifestyle allowance, mental health resources and more, we’re committed to your well-being.


    Who We Are:

    We protect the public. We advance the profession. We enable CPAs to lead business and society forward. We ensure that our 103,000 members and 18,000 students meet the highest standards of integrity and expertise. We help them stay ahead of global market trends and abreast of regulatory change. CPAs represent a globally recognized, premium designation. Our Chartered Professional Accountants are valued by organizations in all industries for their financial expertise, strategic thinking, management skills and leadership. We believe that success happens when both business and society benefit. For information on the profession visit: cpaontario.ca.


    We Appreciate Your Interest In CPA Ontario And This Position:

    At CPA Ontario, we are committed to building high-performance teams. Our selection process is thorough, and all candidate applications are reviewed. Should your qualifications and experience meet the requirements of this role, a member of our recruitment team will contact you. We encourage you to set up CPA Ontario job alerts for positions that align to your experience and career goals.


    CPA Ontario is an inclusive employer. Accommodation is available under the Ontario Human Rights Code. If you require a disability-related accommodation to participate in the recruitment process, please email accessibility@cpaontario.ca with “Accommodation Required” in the subject line to provide your contact information. A member of the Recruitment team will contact you within 48 hours.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +4004949781,https://ca.linkedin.com/jobs/view/data-analyst-hybrid-at-questrade-financial-group-4004949781?position=36&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=2SnS%2FOIEqdHfSPN7HRTZmw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (hybrid),Questrade Financial Group,"North York, Ontario, Canada","Questrade Financial Group (QFG) of Companies is committed to helping our customers become much more financially successful and secure. + +We are everything a traditional financial institution is not. At QFG, you will be constantly moving forward, bringing the future of fintech into existence. You will be a part of a collaborative team that cares deeply about our mission and each other. Your team members will help you conquer challenges, push boundaries and discover what you are truly capable of. + +This is a place where you can explore, discover and learn with continuous growth. As a diverse and inclusive place to work, there are flexible working arrangements so you can unleash your creativity and curiosity with no limits. If you share the same sense of infinite possibility, come shape your future at Questrade. + +What’s in it for you as an employee of QFG? + + +Health & wellbeing resources and programs +Paid vacation, personal, and sick days for work-life balance +Competitive compensation and benefits packages +Hybrid and flexible work arrangements +Career growth and development opportunities +Opportunities to contribute to community causes +Work with diverse team members in an inclusive and collaborative environment + + + +We’re looking for our next Data Analyst . Could it Be You? + +The primary role of the Data Analyst is to serve as the backbone of our data-driven decision-making process, enabling the organization to leverage data effectively for strategic planning and operational improvements. + +What’s it like working as a Data Analyst at Questrade? + +The Data Analyst will be responsible for collecting, organizing, and transforming data into clear and concise reports and visualizations. They will also be responsible for improving operational efficiencies through automation. + +Need more details? Keep reading... + +In this role, responsibilities include but are not limited to: + + +Participating in and contributing to all Agile Scrum ceremonies +Gathering and documenting requirements from stakeholders +Collecting and analyzing complex data sets using advanced analytical techniques and tools such as Power BI +Generating clear and concise reports to stakeholder specifications +Creating dashboards and visualizations in order to allow management to make business decisions or allow stakeholders to complete day to day operations +Collaborating with stakeholders to understand requirements to improve accuracy and implement process automation +Assisting in finding solutions to existing day to day reporting and processes by automating manual processes or enhancing data validation +Staying current with industry trends and best practices in coding, data analysis, automation, and visualization +Collaborating with other Questrade departments on special projects +Performing other duties as assigned + + + +So are YOU our next Data Analyst? You are if you… + + +Hold a Degree or Diploma in business or finance or have equivalent experience +Have 2+ years of Data analytics or computer programming experience +Have experience with G-Suite, especially Google Sheets +Are proficient in the programming languages SQL, Apps Script and Python +Have experience with data visualization and building interactive dashboards in Power BI +Have strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders +Have excellent analytical and problem-solving skills, with a keen attention to detail +Can work independently and manage multiple priorities in a dynamic environment + + + +Additional Kudos If You Have… + + +Brokerage experience, preferably in Customer service, Operations, or IT related discipline +Working knowledge of the financial industry +Experience using Broadridge BPS + + + +Sounds like you? Click below to apply! + +At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. Our team reflects the diversity of the communities we serve and operate in. Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence—not only for the benefit of our customers, but for those who build their career with us. + +Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs. + +Apply Now + + +Show more ","
    + + + + + +
    +
    + Questrade Financial Group (QFG) of Companies is committed to helping our customers become much more financially successful and secure.

    We are everything a traditional financial institution is not. At QFG, you will be constantly moving forward, bringing the future of fintech into existence. You will be a part of a collaborative team that cares deeply about our mission and each other. Your team members will help you conquer challenges, push boundaries and discover what you are truly capable of.

    This is a place where you can explore, discover and learn with continuous growth. As a diverse and inclusive place to work, there are flexible working arrangements so you can unleash your creativity and curiosity with no limits. If you share the same sense of infinite possibility, come shape your future at Questrade.

    What’s in it for you as an employee of QFG?

    • Health & wellbeing resources and programs
    • Paid vacation, personal, and sick days for work-life balance
    • Competitive compensation and benefits packages
    • Hybrid and flexible work arrangements
    • Career growth and development opportunities
    • Opportunities to contribute to community causes
    • Work with diverse team members in an inclusive and collaborative environment


    We’re looking for our next Data Analyst . Could it Be You?

    The primary role of the Data Analyst is to serve as the backbone of our data-driven decision-making process, enabling the organization to leverage data effectively for strategic planning and operational improvements.

    What’s it like working as a Data Analyst at Questrade?

    The Data Analyst will be responsible for collecting, organizing, and transforming data into clear and concise reports and visualizations. They will also be responsible for improving operational efficiencies through automation.

    Need more details? Keep reading...

    In this role, responsibilities include but are not limited to:

    • Participating in and contributing to all Agile Scrum ceremonies
    • Gathering and documenting requirements from stakeholders
    • Collecting and analyzing complex data sets using advanced analytical techniques and tools such as Power BI
    • Generating clear and concise reports to stakeholder specifications
    • Creating dashboards and visualizations in order to allow management to make business decisions or allow stakeholders to complete day to day operations
    • Collaborating with stakeholders to understand requirements to improve accuracy and implement process automation
    • Assisting in finding solutions to existing day to day reporting and processes by automating manual processes or enhancing data validation
    • Staying current with industry trends and best practices in coding, data analysis, automation, and visualization
    • Collaborating with other Questrade departments on special projects
    • Performing other duties as assigned


    So are YOU our next Data Analyst? You are if you…

    • Hold a Degree or Diploma in business or finance or have equivalent experience
    • Have 2+ years of Data analytics or computer programming experience
    • Have experience with G-Suite, especially Google Sheets
    • Are proficient in the programming languages SQL, Apps Script and Python
    • Have experience with data visualization and building interactive dashboards in Power BI
    • Have strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders
    • Have excellent analytical and problem-solving skills, with a keen attention to detail
    • Can work independently and manage multiple priorities in a dynamic environment


    Additional Kudos If You Have…

    • Brokerage experience, preferably in Customer service, Operations, or IT related discipline
    • Working knowledge of the financial industry
    • Experience using Broadridge BPS


    Sounds like you? Click below to apply!

    At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. Our team reflects the diversity of the communities we serve and operate in. Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence—not only for the benefit of our customers, but for those who build their career with us.

    Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs.

    Apply Now

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3995401036,https://ca.linkedin.com/jobs/view/employer-data-analyst-at-opb-ontario-pension-board-3995401036?position=37&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=F%2FMgY1VmwZfDPoaf0i6SxA%3D%3D&trk=public_jobs_jserp-result_search-card,Employer Data Analyst,OPB (Ontario Pension Board),"Toronto, Ontario, Canada","Employer Data Analyst (Pensions) + +Client Services – Employer Services & Data Management + + + + +The Ontario Pension Board (OPB) administers the Public Service Pension Plan (the PSPP), a major defined benefit pension plan sponsored by the Government of Ontario. With 100,000 members and $31 billion in assets, the PSPP is one of Canada’s largest pension plans. It is also one of the country’s oldest, successfully delivering the pension promise since the early 1920s. Learn more about OPB. + + + + +We have an exciting opportunity for an Employer Data Analyst who is client focused with strong analytical and problem-solving skills who can expertly reconcile employment history and financial data. + + + + +Key Responsibilities: + + + + +• Analyze, investigate and complete corrections to all rejected transactions received from Employer interfaces. + +• Determine information/data needed to correct member’s records. + +• Validate information using detailed/practical knowledge of pension administration requirements, human resources policies and Employer’s payroll procedures. + +• Validate information for the enrolments received from the Employer Portal. + +• Validate corresponding contributions and ensure it is received in a timely manner. + +• Identify any discrepancies and work with Employers to resolve them; conduct follow-ups by phone and portal messages on a timely basis. + +• Resolve any data clean up identified by the automated processes for leaves, immediate pensions and pre-retirement termination cases. + +• Establish and maintain good working relationships with internal business partners and designated Employer contacts. + +• Provide on-going advocacy, information and education to Employers of our plan. + +• Follow established criteria to ensure the quality and integrity of the information used by Client Services, identify issues and trends, and make recommendations to improve efficiency and service. + +• Working within a team, aim to meet or exceed client service expectations and provide data management support as needed. + + + + +Key Qualifications: + + + + +• Working knowledge with federal tax legislation, the Pension Benefits Act, Public Service Pension Plan Act and have a general understanding of the pensions industry. + +• Your background will include processing client transactions in accordance with established best practices/policies and explaining complex issues through a variety of channels. + +• You have strong knowledge and proficiency with MS Excel, Word and Outlook. + +• You have strong mathematical, analytical, and problem-solving skills and initiative. + +• You are someone with excellent time management, strong communication, and interpersonal skills that embrace teamwork with the ability to meet established timelines and to process large volumes of detailed information with minimal errors. + +• You are self-directed but recognize the importance of relationship building with your team as well as with those across the organization. + + + + + + + +Please submit your resume if you are interested in this exciting opportunity. The competition will remain open until a successful candidate is selected or until the competition is closed. + + + + +This competition is open to all employees of OPB and has been posted on LinkedIn. OPB is committed to providing accommodation for people with disabilities in its recruitment process. Please advise OPB if you require an accommodation, and we will work with you to meet your needs. OPB is committed to fostering a culture of diversity, equity and inclusiveness that reflects the diverse communities we serve. We welcome and encourage applications from those who may contribute to the further diversification of ideas. Candidates being considered for this position will be required to submit to a background screening. We thank all applicants, however, only those selected for an interview will be contacted. + +Show more ","
    + + + + + +
    +
    +

    Employer Data Analyst (Pensions)

    Client Services – Employer Services & Data Management


    The Ontario Pension Board (OPB) administers the Public Service Pension Plan (the PSPP), a major defined benefit pension plan sponsored by the Government of Ontario. With 100,000 members and $31 billion in assets, the PSPP is one of Canada’s largest pension plans. It is also one of the country’s oldest, successfully delivering the pension promise since the early 1920s. Learn more about OPB.


    We have an exciting opportunity for an Employer Data Analyst who is client focused with strong analytical and problem-solving skills who can expertly reconcile employment history and financial data.


    Key Responsibilities:


    • Analyze, investigate and complete corrections to all rejected transactions received from Employer interfaces.

    • Determine information/data needed to correct member’s records.

    • Validate information using detailed/practical knowledge of pension administration requirements, human resources policies and Employer’s payroll procedures.

    • Validate information for the enrolments received from the Employer Portal.

    • Validate corresponding contributions and ensure it is received in a timely manner.

    • Identify any discrepancies and work with Employers to resolve them; conduct follow-ups by phone and portal messages on a timely basis.

    • Resolve any data clean up identified by the automated processes for leaves, immediate pensions and pre-retirement termination cases.

    • Establish and maintain good working relationships with internal business partners and designated Employer contacts.

    • Provide on-going advocacy, information and education to Employers of our plan.

    • Follow established criteria to ensure the quality and integrity of the information used by Client Services, identify issues and trends, and make recommendations to improve efficiency and service.

    • Working within a team, aim to meet or exceed client service expectations and provide data management support as needed.


    Key Qualifications:


    • Working knowledge with federal tax legislation, the Pension Benefits Act, Public Service Pension Plan Act and have a general understanding of the pensions industry.

    • Your background will include processing client transactions in accordance with established best practices/policies and explaining complex issues through a variety of channels.

    • You have strong knowledge and proficiency with MS Excel, Word and Outlook.

    • You have strong mathematical, analytical, and problem-solving skills and initiative.

    • You are someone with excellent time management, strong communication, and interpersonal skills that embrace teamwork with the ability to meet established timelines and to process large volumes of detailed information with minimal errors.

    • You are self-directed but recognize the importance of relationship building with your team as well as with those across the organization.



    Please submit your resume if you are interested in this exciting opportunity. The competition will remain open until a successful candidate is selected or until the competition is closed.


    This competition is open to all employees of OPB and has been posted on LinkedIn. OPB is committed to providing accommodation for people with disabilities in its recruitment process. Please advise OPB if you require an accommodation, and we will work with you to meet your needs. OPB is committed to fostering a culture of diversity, equity and inclusiveness that reflects the diverse communities we serve. We welcome and encourage applications from those who may contribute to the further diversification of ideas. Candidates being considered for this position will be required to submit to a background screening. We thank all applicants, however, only those selected for an interview will be contacted.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4004813885,https://ca.linkedin.com/jobs/view/data-analyst-fully-remote-at-scandinavian-building-services-4004813885?position=38&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=Y%2Bm4QGqApzoV7Ga0o9N5CQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - Fully remote,Scandinavian Building Services,"Greater Toronto Area, Canada","Scandinavian Building Services has been a Canadian leader in retail and commercial cleaning for the last 60 years. Starting as a small family owned and operated business in Edmonton Alberta in 1982 to offering full service janitorial and building maintenance across Canada today. We attribute our success to staying true to our core values of Service, Motivate, Respect, and Connect. As we continue to grow we are looking to add a Data Analyst to the Scandi Family! + + + + +** Please note candidates must be currently based in and legally able to work in Canada to be considered for this position ** + + + + +What’s in it for you: + +Awarded one of Canada’s Best Managed Companies: We’re committed to a high level standard of excellence for both clients and our Scandi Family. +Growth Opportunities: A place to hang your hat. We want our employees to grow with us long term. +Stability and Job Security: Even through tough economic times we’ve continued to steadily grow, and we aren’t slowing down any time soon. With a strong national presence across Canada +Family First Culture: We are and have always been a family owned and operated business. We have family friendly events year-round and affectionately call our team members the Scandi Family. +Benefits: We offer a comprehensive medical and dental plan as well as personal days off. + + + + +What your day to day will look like: + + + + +Working permanently fully remote you will be reporting directly to our Business Intelligence Reporting Manager. Working Monday to Friday 8am – 4:30pm EST. + + + + +Review, monitor, and analyze various reports including; KPI compliance on operational targets and compliance audits on all daily reports. +Improving Excel reporting templates for maximum efficiency on a continuous basis. +Maintain and edit KPI dashboards in Power BI on a continuous basis. +Utilizing field driven operational data from our industry specific system Lighthouse and following up with Account Manager on specific reports when needed. +Compile and forward reports on an ad hoc basis when needed. +All other duties as required. + + + + +What you’ll need to succeed: + +Minimum of 2 years experience in a previous Data Analyst role with previous experience with Power BI. Working with KPI’s, large scale data analysis, data cleansing and data reconciliations from multiple sources. +Post secondary education; diploma or degree in a relevant field. Happy to consider a mix of experience and education. +Must have advanced level Excel skills. +Strong knowledge of systems and data integrity. +Excellent written and verbal communication skills with the ability to demonstrate a sense of urgency in completing tasks. + + + + +What you can expect for our interview process: + +20 minute preliminary phone interview with our Recruiter +20-40 minute assessment (depending on optional practice questions or breaks) +30 minute MS Teams video interview with the Hiring Manager and direct Supervisors for the role + + + + +At Scandinavian Building Services we are an equal opportunity employer who values a diverse workplace. We recognize the strength that comes from different experiences, backgrounds and perspectives and welcome all candidates to apply. We feel it is important that all people have access and opportunity to be employed, to be valued and to be respected. + +Show more ","
    + + + + + +
    +
    +

    Scandinavian Building Services has been a Canadian leader in retail and commercial cleaning for the last 60 years. Starting as a small family owned and operated business in Edmonton Alberta in 1982 to offering full service janitorial and building maintenance across Canada today. We attribute our success to staying true to our core values of Service, Motivate, Respect, and Connect. As we continue to grow we are looking to add a Data Analyst to the Scandi Family!


    ** Please note candidates must be currently based in and legally able to work in Canada to be considered for this position **


    What’s in it for you:

    • Awarded one of Canada’s Best Managed Companies: We’re committed to a high level standard of excellence for both clients and our Scandi Family.
    • Growth Opportunities: A place to hang your hat. We want our employees to grow with us long term.
    • Stability and Job Security: Even through tough economic times we’ve continued to steadily grow, and we aren’t slowing down any time soon. With a strong national presence across Canada
    • Family First Culture: We are and have always been a family owned and operated business. We have family friendly events year-round and affectionately call our team members the Scandi Family.
    • Benefits: We offer a comprehensive medical and dental plan as well as personal days off.


    What your day to day will look like:


    Working permanently fully remote you will be reporting directly to our Business Intelligence Reporting Manager. Working Monday to Friday 8am – 4:30pm EST.


    • Review, monitor, and analyze various reports including; KPI compliance on operational targets and compliance audits on all daily reports.
    • Improving Excel reporting templates for maximum efficiency on a continuous basis.
    • Maintain and edit KPI dashboards in Power BI on a continuous basis.
    • Utilizing field driven operational data from our industry specific system Lighthouse and following up with Account Manager on specific reports when needed.
    • Compile and forward reports on an ad hoc basis when needed.
    • All other duties as required.


    What you’ll need to succeed:

    • Minimum of 2 years experience in a previous Data Analyst role with previous experience with Power BI. Working with KPI’s, large scale data analysis, data cleansing and data reconciliations from multiple sources.
    • Post secondary education; diploma or degree in a relevant field. Happy to consider a mix of experience and education.
    • Must have advanced level Excel skills.
    • Strong knowledge of systems and data integrity.
    • Excellent written and verbal communication skills with the ability to demonstrate a sense of urgency in completing tasks.


    What you can expect for our interview process:

    • 20 minute preliminary phone interview with our Recruiter
    • 20-40 minute assessment (depending on optional practice questions or breaks)
    • 30 minute MS Teams video interview with the Hiring Manager and direct Supervisors for the role


    At Scandinavian Building Services we are an equal opportunity employer who values a diverse workplace. We recognize the strength that comes from different experiences, backgrounds and perspectives and welcome all candidates to apply. We feel it is important that all people have access and opportunity to be employed, to be valued and to be respected.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3984811974,https://ca.linkedin.com/jobs/view/canada-data-analyst-at-randstad-canada-3984811974?position=42&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=pzS4sMnKVsCCWJ54EaJkqw%3D%3D&trk=public_jobs_jserp-result_search-card,Canada - Data Analyst,Randstad Canada,"Mississauga, Ontario, Canada","Are you a Data Analyst looking for a new opportunity? + +Are you looking for a new contract opportunity? + +We are pleased to offer you a new contract opportunity for you to consider: Data Analyst + + +Start: ASAP +Estimated length: 6 months +Location: Mississauga +Onsite role + + +Actively seeking for candidates with below requirements. + +Advantages + +You will have an opportunity to work with a leading employer in the local market. + +Responsibilities + + +Coordinate data conversations with stakeholders, data sources +Explore and analyze complex datasets to identify patterns and anomalies (SQL, Python) +Develop and deploy machine learning models +Work with business to understand logic +Lead data analytics process with the product team to gather insights and identify solutions +Collect, organize, analyze, and present insights. +Organize project steps and document questions, findings, processes (confluence, JIRA) + + +Qualifications + + +Bachelors degree in Computer Science or related technical field +2+ years of experience as a data analyst +Experience with SQL, Python, Confluence, Jira +Strong communication skills +Must be able to work effectively both on teams as well as be self-motivated, task oriented and organized. +Strong customer focus and obsession with quality +Ability to work in a fast-paced and agile development environment +Ability to gather & document details / requirements /user stories from stakeholders for a data request +Able to identify source systems and data steward +Able to write and run SQL queries from Data Lake, Big Query, and Vendor Master as required +Validate query results to ensure it meets criteria/requirements +Stakeholder management +Experienced in JIRA , scrum ceremonies, and Agile Methodology +Strong SQL skills and experience working with large datasets +Familiarity with anomaly detection and a variety of ML models and algorithms +Excellent problem-solving skills and attention to detail +Curiosity and a passion for exploring and understanding complex datasets,As an integral member of our organization, the Data Analyst will work with a team of Data Scientists, Product management and Business teams to collect project requirements, identify data, build queries, develop ML models and present findings. + + +Summary + +Do you have this experience? If you answer YES, then please apply IMMEDIATELY to so we can then discuss your experience and interest in this opportunity! + +Randstad Technologies Group + +Canada's largest provider of IT Staffing Solutions, offering hundreds of permanent and contract opportunities across all roles, levels and platforms. Our Web-based tools help you see and apply for jobs matched automatically to your skills and preferences. When you're ready to interview we meet with you in person to help you build the technology career path you've always wanted. Visit www.randstad.ca to get started! + +Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community. + +Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process. + + +Show more ","
    + + + + + +
    +
    + Are you a Data Analyst looking for a new opportunity?

    Are you looking for a new contract opportunity?

    We are pleased to offer you a new contract opportunity for you to consider: Data Analyst

    • Start: ASAP
    • Estimated length: 6 months
    • Location: Mississauga
    • Onsite role

    Actively seeking for candidates with below requirements.

    Advantages

    You will have an opportunity to work with a leading employer in the local market.

    Responsibilities

    • Coordinate data conversations with stakeholders, data sources
    • Explore and analyze complex datasets to identify patterns and anomalies (SQL, Python)
    • Develop and deploy machine learning models
    • Work with business to understand logic
    • Lead data analytics process with the product team to gather insights and identify solutions
    • Collect, organize, analyze, and present insights.
    • Organize project steps and document questions, findings, processes (confluence, JIRA)

    Qualifications

    • Bachelors degree in Computer Science or related technical field
    • 2+ years of experience as a data analyst
    • Experience with SQL, Python, Confluence, Jira
    • Strong communication skills
    • Must be able to work effectively both on teams as well as be self-motivated, task oriented and organized.
    • Strong customer focus and obsession with quality
    • Ability to work in a fast-paced and agile development environment
    • Ability to gather & document details / requirements /user stories from stakeholders for a data request
    • Able to identify source systems and data steward
    • Able to write and run SQL queries from Data Lake, Big Query, and Vendor Master as required
    • Validate query results to ensure it meets criteria/requirements
    • Stakeholder management
    • Experienced in JIRA , scrum ceremonies, and Agile Methodology
    • Strong SQL skills and experience working with large datasets
    • Familiarity with anomaly detection and a variety of ML models and algorithms
    • Excellent problem-solving skills and attention to detail
    • Curiosity and a passion for exploring and understanding complex datasets,As an integral member of our organization, the Data Analyst will work with a team of Data Scientists, Product management and Business teams to collect project requirements, identify data, build queries, develop ML models and present findings.

    Summary

    Do you have this experience? If you answer YES, then please apply IMMEDIATELY to so we can then discuss your experience and interest in this opportunity!

    Randstad Technologies Group

    Canada's largest provider of IT Staffing Solutions, offering hundreds of permanent and contract opportunities across all roles, levels and platforms. Our Web-based tools help you see and apply for jobs matched automatically to your skills and preferences. When you're ready to interview we meet with you in person to help you build the technology career path you've always wanted. Visit www.randstad.ca to get started!

    Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

    Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3999974846,https://ca.linkedin.com/jobs/view/data-analyst-neurodiversity-hiring-initiative-at-specialisterne-usa-3999974846?position=43&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=4s9z2%2FX%2BZAIGYX5VksA0Ng%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - Neurodiversity Hiring Initiative,Specialisterne USA,"Toronto, Ontario, Canada","Specialisterne is Recruiting! + +Specialisterne connects qualified neurodivergent candidates to employment opportunities in numerous industries and sectors in Canada and the US. + +To be eligible to apply, you must have experienced barriers getting and/ or maintaining meaningful employment and you identify with one of the following: + + +Autism (including Asperger’s and PDD-NOS) +Attention Deficit/Hyperactivity Disorder (ADHD) or Attention Deficit Disorder (ADD) +Learning Disability (e.g., dyslexia, dyscalculia, dysgraphia) +Intellectual Disability +Obsessive Compulsive Disorder (OCD) +Tourette Syndrome + + +Employees hired through Specialisterne will be supported by a Specialisterne Workplace Support Specialist for their first twelve weeks on the job. + +Specialisterne is proud to partner with CIBC on a Neurodiversity Hiring Initiative. + +CIBC is a leading North American financial institution. From Personal, Business and Commercial Banking to Wealth Management and Capital Markets businesses, their 44,000 employees provide a full range of financial products and services to 10 million clients in Canada, the United States and around the world. + +CIBC places a high value on diversity in its workforce, recognizes the business benefits that accrue from responding to challenges from multiple perspectives, and is exercising a leadership position in the hiring of people with disabilities. + +Applications must be submitted in full no later than September 3rd, 2024 + +Summary: + +Title: Data Analyst + +Employment Type: Full-Time + +Hours: 8:30am-5pm + +Location: Toronto, ON (Hybrid, in office 2 days per week on Wednesday and Thursday) + +Target Start Date: September 2024 + +About this Role: + +You will be joining CIBC’s Optimization and Process Engineering team and be at the centre of an innovative team that develops process improvements to make the bank more efficient. As a Data Analyst you will be involved in supporting the Process Engineering and Optimization team in the identification and implementation of process improvements to enhance client experience, reduce risk and increase profitability. You will use direct client feedback as well as analysis of system data to understand the challenges of the business, improve the quality of key processes, eliminate redundant tasks and make our bank more efficient. You will work with your team to assist in opportunity identification and solution development in order to bring the bank into the future. + +Essential Tasks - In this job, you will: + + +Support ongoing process reviews to identify issues early on and recommend solutions to business challenges +Stay on top of best practices and industry knowledge to identify process improvements that will create a best-in-class client experience +Enter and manipulate data in order to prepare it for manual or automated analysis +Learn how to utilize tools such as Excel and Alteryx to swiftly cleanse data for use in automated tools such as Blue Prism +You will support the optimization team through review and summary of large data sets in order to identify areas of opportunity for the optimization team +You will develop static data visualizations based on your analysis to summarize insights to highlight key findings for inclusion in presentations + + +General Skills and Abilities: + + +Attention to detail and critical thinking skills +Willingness to learn and adapt new processes +Effective written and visual communication skills +Goal oriented +Ability to work in a team environment +Communication and conflict resolution + + +Digital/Technical Skills & Tools - You are: + + +Intermediate skill level with Microsoft Excel +Intermediate skill level with SQL +Intermediate skill level with Python or R +Basic skill level with Tableau or Power BI +Statistical and Database Knowledge + + +Required skill level* + + +Basic - e.g., I can do this in simple situations with close or extensive guidance +Basic to Intermediate +Intermediate - e.g., I can do this in most situations, with occasional guidance +Intermediate to expert +Expert - e.g., I can do this in exceptionally difficult situations with no guidance and I can be a key resource for others + + +Education/Knowledge - You: + + +Bachelors degree in either Computer Science, Statistics, Information Security, Business or Engineering +Nice to have (but not required): +PMP Certification work in project based environments + +Experience (Professional, Academic, Personal) - You: + + +Nice to have (but not required): +Work experience in data analytics + +Additional Information: + +Here’s how frequently the following types of communication and interaction are required to perform the job: + + +Oral communication: Daily +Email communication: Daily +Instant messaging: Daily +Telephone Communication: Daily +Video communication: Daily (Camera encouraged but optional) +Interacting with supervisors: Daily +Interacting with peers: Daily +Interacting with customers: Weekly +Selling or influencing others: Weekly +Training or teaching others: N/A + + +Here’s what can employees find stressful about this job: + + +Meeting short deadlines and being asked to turn around findings within a reduced period of time + + +Here’s what employees tend to find motivating/rewarding about this job: + + +Using data to provide clarity to our supporting partners to help make informed decisions + + +Workplace Support: + + +Specialisterne and our employer partners are committed to providing inclusive onboarding experiences and supporting new employees as they learn on the job +All new hires continue to liaise with a Specialisterne Workplace Support Specialist for their first twelve weeks on the job + + +The Recruitment Process + +To be considered for this position, you will: + + +Complete a job application +Join our talent pool (if you haven’t already) by completing an additional questionnaire and a pre-employment assessment + + +Next Steps + + +Successful applicants will create a job-specific Candidate Profile to answer job specific questions and/or complete a work sample exercise to showcase your skills for this role +Employers use Candidate Profiles to anonymously* shortlist candidates +Candidates and employers will meet to discuss the role in more detail +whenever possible + + +Powered by JazzHR + +uZ7zZ4mWBJ +Show more ","
    + + + + + +
    +
    + Specialisterne is Recruiting!

    Specialisterne connects qualified neurodivergent candidates to employment opportunities in numerous industries and sectors in Canada and the US.

    To be eligible to apply, you must have experienced barriers getting and/ or maintaining meaningful employment and you identify with one of the following:

    • Autism (including Asperger’s and PDD-NOS)
    • Attention Deficit/Hyperactivity Disorder (ADHD) or Attention Deficit Disorder (ADD)
    • Learning Disability (e.g., dyslexia, dyscalculia, dysgraphia)
    • Intellectual Disability
    • Obsessive Compulsive Disorder (OCD)
    • Tourette Syndrome

    Employees hired through Specialisterne will be supported by a Specialisterne Workplace Support Specialist for their first twelve weeks on the job.

    Specialisterne is proud to partner with CIBC on a Neurodiversity Hiring Initiative.

    CIBC is a leading North American financial institution. From Personal, Business and Commercial Banking to Wealth Management and Capital Markets businesses, their 44,000 employees provide a full range of financial products and services to 10 million clients in Canada, the United States and around the world.

    CIBC places a high value on diversity in its workforce, recognizes the business benefits that accrue from responding to challenges from multiple perspectives, and is exercising a leadership position in the hiring of people with disabilities.

    Applications must be submitted in full no later than September 3rd, 2024

    Summary:

    Title: Data Analyst

    Employment Type: Full-Time

    Hours: 8:30am-5pm

    Location: Toronto, ON (Hybrid, in office 2 days per week on Wednesday and Thursday)

    Target Start Date: September 2024

    About this Role:

    You will be joining CIBC’s Optimization and Process Engineering team and be at the centre of an innovative team that develops process improvements to make the bank more efficient. As a Data Analyst you will be involved in supporting the Process Engineering and Optimization team in the identification and implementation of process improvements to enhance client experience, reduce risk and increase profitability. You will use direct client feedback as well as analysis of system data to understand the challenges of the business, improve the quality of key processes, eliminate redundant tasks and make our bank more efficient. You will work with your team to assist in opportunity identification and solution development in order to bring the bank into the future.

    Essential Tasks - In this job, you will:

    • Support ongoing process reviews to identify issues early on and recommend solutions to business challenges
    • Stay on top of best practices and industry knowledge to identify process improvements that will create a best-in-class client experience
    • Enter and manipulate data in order to prepare it for manual or automated analysis
    • Learn how to utilize tools such as Excel and Alteryx to swiftly cleanse data for use in automated tools such as Blue Prism
    • You will support the optimization team through review and summary of large data sets in order to identify areas of opportunity for the optimization team
    • You will develop static data visualizations based on your analysis to summarize insights to highlight key findings for inclusion in presentations

    General Skills and Abilities:

    • Attention to detail and critical thinking skills
    • Willingness to learn and adapt new processes
    • Effective written and visual communication skills
    • Goal oriented
    • Ability to work in a team environment
    • Communication and conflict resolution

    Digital/Technical Skills & Tools - You are:

    • Intermediate skill level with Microsoft Excel
    • Intermediate skill level with SQL
    • Intermediate skill level with Python or R
    • Basic skill level with Tableau or Power BI
    • Statistical and Database Knowledge

    Required skill level*

    • Basic - e.g., I can do this in simple situations with close or extensive guidance
    • Basic to Intermediate
    • Intermediate - e.g., I can do this in most situations, with occasional guidance
    • Intermediate to expert
    • Expert - e.g., I can do this in exceptionally difficult situations with no guidance and I can be a key resource for others

    Education/Knowledge - You:

    • Bachelors degree in either Computer Science, Statistics, Information Security, Business or Engineering
    • Nice to have (but not required):
      • PMP Certification work in project based environments
    Experience (Professional, Academic, Personal) - You:

    • Nice to have (but not required):
      • Work experience in data analytics
    Additional Information:

    Here’s how frequently the following types of communication and interaction are required to perform the job:

    • Oral communication: Daily
    • Email communication: Daily
    • Instant messaging: Daily
    • Telephone Communication: Daily
    • Video communication: Daily (Camera encouraged but optional)
    • Interacting with supervisors: Daily
    • Interacting with peers: Daily
    • Interacting with customers: Weekly
    • Selling or influencing others: Weekly
    • Training or teaching others: N/A

    Here’s what can employees find stressful about this job:

    • Meeting short deadlines and being asked to turn around findings within a reduced period of time

    Here’s what employees tend to find motivating/rewarding about this job:

    • Using data to provide clarity to our supporting partners to help make informed decisions

    Workplace Support:

    • Specialisterne and our employer partners are committed to providing inclusive onboarding experiences and supporting new employees as they learn on the job
    • All new hires continue to liaise with a Specialisterne Workplace Support Specialist for their first twelve weeks on the job

    The Recruitment Process

    To be considered for this position, you will:

    • Complete a job application
    • Join our talent pool (if you haven’t already) by completing an additional questionnaire and a pre-employment assessment

    Next Steps

    • Successful applicants will create a job-specific Candidate Profile to answer job specific questions and/or complete a work sample exercise to showcase your skills for this role
    • Employers use Candidate Profiles to anonymously* shortlist candidates
    • Candidates and employers will meet to discuss the role in more detail
    • whenever possible

    Powered by JazzHR

    uZ7zZ4mWBJ +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +3984492888,https://ca.linkedin.com/jobs/view/data-analyst-45-50-hr-at-direct-it-recruiting-inc-wbe-canada-certified-3984492888?position=45&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=X5AGqAWbCqwae8T%2FzBRsOQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst 45-50/hr,"Direct IT Recruiting Inc., WBE Canada Certified","Toronto, Ontario, Canada","NOTE: HYBRID work model, 3-days/week in office. Office located in Toronto. + + + + +Type: 1-Year Contract, 8 hours/day, 40 hours/week + +Work Experience: 2+ years Data Analyst, Pension, MS Power BI, AS/400 + +Industry: Pension, Bank + +DESCRIPTION: + +Using strong quantitative, mathematical, and critical thinking skills, to calculate and validate pension administration data, override data issues and update contract data for a variety of employers. +Ability to evaluate information, identify patterns and gaps, and execute a solution within prescribed limits and procedures. +Ability to quickly learn new applications and processes to work on assigned tasks independently. +Ability to work within established timelines and prescribed priorities. +Detail-oriented with a strong focus on quality. +Excels in communication, values clarity and takes responsibility for their work. +Operate in a fast-paced team environment. +AS/400 knowledge and previous experience with Power BI an asset. +Pension knowledge and understanding an asset. +other duties as required. + + + + +TO APPLY: https://directitrecruiting.com/job/data-analyst-hybrid/ + +Show more ","
    + + + + + +
    +
    +

    NOTE: HYBRID work model, 3-days/week in office. Office located in Toronto.


    Type: 1-Year Contract, 8 hours/day, 40 hours/week

    Work Experience: 2+ years Data Analyst, Pension, MS Power BI, AS/400

    Industry: Pension, Bank

    DESCRIPTION:

    • Using strong quantitative, mathematical, and critical thinking skills, to calculate and validate pension administration data, override data issues and update contract data for a variety of employers.
    • Ability to evaluate information, identify patterns and gaps, and execute a solution within prescribed limits and procedures.
    • Ability to quickly learn new applications and processes to work on assigned tasks independently.
    • Ability to work within established timelines and prescribed priorities.
    • Detail-oriented with a strong focus on quality.
    • Excels in communication, values clarity and takes responsibility for their work.
    • Operate in a fast-paced team environment.
    • AS/400 knowledge and previous experience with Power BI an asset.
    • Pension knowledge and understanding an asset.
    • other duties as required.


    TO APPLY: https://directitrecruiting.com/job/data-analyst-hybrid/

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +4008630070,https://ca.linkedin.com/jobs/view/data-analyst-0-experience-required-at-peroptyx-4008630070?position=48&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=qIQLhX%2BEsntn2TcruI81vA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (0 Experience Required),Peroptyx,"Toronto, Ontario, Canada","For thousands of years, maps have provided humans with the knowledge they need to make decisions. As a Maps Evaluator, you will have the opportunity to provide ground truth for your town, city or country. + + + + +At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping applications. Your research capabilities will validate and ensure that the navigation of certain routes are accurate and safe. + + + + +As part of this role you will verify that business names and opening hours are correct. You will check that the distance from a starting point to an end destination is listed accurately resulting in better user experiences. + + + + +With this job you can plan your days around this highly flexible working schedule, work weekends or late evenings, all from the comfort of your own office. The flexibility of our roles minimizes the impact on your daily routine. + + + + +So, whether you are a student looking to earn as you learn, a retiree looking for a new challenge a part-time/full time professional or a work from home parent, Peroptyx has the right role for you! + + + + +Ideal Candidate + + + + +Fluent in English +Excellent research skills. +Excellent local knowledge of your home country. +Good understanding and general knowledge of the geography and culture of Canada. +Analytical mindset. + +Job Requirements + + + + +Must be living in Canada for a minimum of 5 consecutive years. +Must pass an online open-book exam that can verify your full understanding of the material and concepts. +Must be willing to work a minimum of 10 hours and up to 20 hours per week depending on task availability. +Good working knowledge of search engines, map applications and familiarity with social media platforms. +Strong ability to learn, understand and apply multiple sets of different instructions. +All work must be of an independent nature. + + + + +Benefits + + + + +· Work up to 20 hours per week. + +· Earn a competitive rate of pay. + +· Develop your research skills. + +· Avoid the long commute. + +· Work from the comfort of your home office. + +· Enjoy the flexibility of setting your own working hours! + + + + +Apply Online Today! + +Show more ","
    + + + + + +
    +
    +

    For thousands of years, maps have provided humans with the knowledge they need to make decisions. As a Maps Evaluator, you will have the opportunity to provide ground truth for your town, city or country.


    At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping applications. Your research capabilities will validate and ensure that the navigation of certain routes are accurate and safe.


    As part of this role you will verify that business names and opening hours are correct. You will check that the distance from a starting point to an end destination is listed accurately resulting in better user experiences.


    With this job you can plan your days around this highly flexible working schedule, work weekends or late evenings, all from the comfort of your own office. The flexibility of our roles minimizes the impact on your daily routine.


    So, whether you are a student looking to earn as you learn, a retiree looking for a new challenge a part-time/full time professional or a work from home parent, Peroptyx has the right role for you!


    Ideal Candidate


    • Fluent in English
    • Excellent research skills.
    • Excellent local knowledge of your home country.
    • Good understanding and general knowledge of the geography and culture of Canada.
    • Analytical mindset.

    Job Requirements


    • Must be living in Canada for a minimum of 5 consecutive years.
    • Must pass an online open-book exam that can verify your full understanding of the material and concepts.
    • Must be willing to work a minimum of 10 hours and up to 20 hours per week depending on task availability.
    • Good working knowledge of search engines, map applications and familiarity with social media platforms.
    • Strong ability to learn, understand and apply multiple sets of different instructions.
    • All work must be of an independent nature.


    Benefits


    · Work up to 20 hours per week.

    · Earn a competitive rate of pay.

    · Develop your research skills.

    · Avoid the long commute.

    · Work from the comfort of your home office.

    · Enjoy the flexibility of setting your own working hours!


    Apply Online Today!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4006868931,https://ca.linkedin.com/jobs/view/manufacturing-data-analyst-at-litens-automotive-group-4006868931?position=49&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=lq20bZn8t25mFevF8ZetuA%3D%3D&trk=public_jobs_jserp-result_search-card,Manufacturing Data Analyst,Litens Automotive Group,"Woodbridge, Ontario, Canada","Who is Litens? + +We are a diverse group of talented people committed to creating solutions to problems and making the world a better place. We enhance and deliver both mechanical and electrified solutions that bring efficiency and sustainability to new heights. Founded in 1979, Litens has a proud history of being an innovative and highly respected company specializing in powertrain system engineering and component supply. Our history includes numerous achievements, many of which have been recognized through prestigious awards from our customers. + +Experience a fulfilling and supportive environment where ingenuity is rewarded, collaboration is encouraged, and opportunities are readily available. + + + + +Why Join Litens? + +Join the Litens Manufacturing Operations Team as a Manufacturing Improvement Analyst. At Litens, you can make an impact. We’ve purposefully cultivated a supportive and flexible environment that gives everyone the opportunity to succeed. Litens offers a competitive and people-first approach to compensation and benefits, and we are committed to provide balanced employment and advancement opportunities for everyone. + +Our diversity is our source of strength. At Litens, we are committed to equal employment opportunity, and we value and welcome diversity. We respect employees’ rights for a safe and respectful workplace. Accommodations for disabilities in relation to the job selection process are available upon request. + + + + +What will you do? + +Gather and diagnose historical Manufacturing data from various sources related to Process, Materials, Labour, or Overhead and present opportunities for improvement. +Maintain status of labour, NVA, and scrap costs for monthly reconciliation with accounting +Monitor Shoplogix MES data and work with Business Systems/IT/Production to maintain accuracy and integrity +Balance support towards evaluation, research, and analysis between shop floor and office processes +Benchmark current business practices against World Class processes and present opportunities to management for improvement +Monitor Work Center performance to expected standards and communicate any variances to production leadership and Lean Manager +Participate and support CI related activities (kaizen, VSM, Materials PFEP, CI projects) by supplying performance data and hands on practical assistance. +Leverage your expert Excel skills for analysis of Manufacturing Operations data and potential improvement +Provides performance data for bench marking exercises within Litens global facilities. +Manage and maintain annual changes to Litens Production System Assessment (LPSA) +Work with Maintenance and Setup teams and leaders to facilitate administrative machine related Preventative Maintenance improvements + + + + +What will you bring? + +University degree in Business or Engineering +4 years automotive/manufacturing experience +Proven ability to navigate, gather and analyze data through various business systems such as MS D365 Finance and Operations, and others, with a high degree of competence +Advanced skills with Microsoft Excel, intermediate skills with Word and Power Point +Proven ability to diagnose manufacturing data for the purpose of identifying and quantifying business opportunities and propose alternative improvement solutions +Requirement to maintain confidentiality is critical to this role +Experience with Lean Manufacturing principles and concepts +Flexible to work between local plants if necessary + +Show more ","
    + + + + + +
    +
    +

    Who is Litens?

    We are a diverse group of talented people committed to creating solutions to problems and making the world a better place. We enhance and deliver both mechanical and electrified solutions that bring efficiency and sustainability to new heights. Founded in 1979, Litens has a proud history of being an innovative and highly respected company specializing in powertrain system engineering and component supply. Our history includes numerous achievements, many of which have been recognized through prestigious awards from our customers.

    Experience a fulfilling and supportive environment where ingenuity is rewarded, collaboration is encouraged, and opportunities are readily available.


    Why Join Litens?

    Join the Litens Manufacturing Operations Team as a Manufacturing Improvement Analyst. At Litens, you can make an impact. We’ve purposefully cultivated a supportive and flexible environment that gives everyone the opportunity to succeed. Litens offers a competitive and people-first approach to compensation and benefits, and we are committed to provide balanced employment and advancement opportunities for everyone.

    Our diversity is our source of strength. At Litens, we are committed to equal employment opportunity, and we value and welcome diversity. We respect employees’ rights for a safe and respectful workplace. Accommodations for disabilities in relation to the job selection process are available upon request.


    What will you do?

    • Gather and diagnose historical Manufacturing data from various sources related to Process, Materials, Labour, or Overhead and present opportunities for improvement.
    • Maintain status of labour, NVA, and scrap costs for monthly reconciliation with accounting
    • Monitor Shoplogix MES data and work with Business Systems/IT/Production to maintain accuracy and integrity
    • Balance support towards evaluation, research, and analysis between shop floor and office processes
    • Benchmark current business practices against World Class processes and present opportunities to management for improvement
    • Monitor Work Center performance to expected standards and communicate any variances to production leadership and Lean Manager
    • Participate and support CI related activities (kaizen, VSM, Materials PFEP, CI projects) by supplying performance data and hands on practical assistance.
    • Leverage your expert Excel skills for analysis of Manufacturing Operations data and potential improvement
    • Provides performance data for bench marking exercises within Litens global facilities.
    • Manage and maintain annual changes to Litens Production System Assessment (LPSA)
    • Work with Maintenance and Setup teams and leaders to facilitate administrative machine related Preventative Maintenance improvements


    What will you bring?

    • University degree in Business or Engineering
    • 4 years automotive/manufacturing experience
    • Proven ability to navigate, gather and analyze data through various business systems such as MS D365 Finance and Operations, and others, with a high degree of competence
    • Advanced skills with Microsoft Excel, intermediate skills with Word and Power Point
    • Proven ability to diagnose manufacturing data for the purpose of identifying and quantifying business opportunities and propose alternative improvement solutions
    • Requirement to maintain confidentiality is critical to this role
    • Experience with Lean Manufacturing principles and concepts
    • Flexible to work between local plants if necessary

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4002125708,https://ca.linkedin.com/jobs/view/senior-data-analyst-at-lancesoft-inc-4002125708?position=50&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=Bhm0bAPYExyTklSmaSv2kA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,"LanceSoft, Inc.","Toronto, Ontario, Canada","Location Address: Hybrid (minimum once a week) – 44 King Street W 23rd Floor + +Contract Duration: ASAP until October 31, 2024 + +Extension Opportunity: Yes + +Scheduled Hours: Monday to Friday, 8:30 am-5 pm + + + + +Story Behind the Need: + +The Data Analyst, Data Remediation Audit Program contributes to the overall success of the Group Treasury Data Office in Canada ensuring specific individual goals, plans and initiatives are executed/delivered in support of the team’s business strategies and objectives. + + + + +The main function of the Data Analyst role is to support the investigation, development, testing and operationalization of data solutions related to the strategic goals of the Group Treasury Data Office. This role ensures all activities are conducted in compliance with enterprise data standards, policies and procedures. This project entails a three-year road map from 2024 to 2026, an extension opportunity is available for the candidates. + + + + +Candidate Value Proposition: + +The successful candidate will have the opportunity to work within the Bank. We are data partners that support technology and business around the world. You will get to work with and learn from diverse industry leaders, who have hailed from top technology. + + + + +Typical Day in Role: + +Support the Senior Manager on strategic data and innovation initiatives, presentations, and analysis with executive-level visibility for the Treasury Management team. +Experience working in data management and can provide hands-on support on the implementation according to Data Office playbooks, guidelines, standards, and policies (e.g., documenting initiatives, use cases, data tiering and classification, critical data elements, and business data elements). +Performs necessary data mapping and lineage activities and documents information flows to support specific business requirements. +Performs data quality rule creation, and analyzes and communicates results supporting data quality processes. +Builds the metadata model and business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems. + + + + +Candidate Requirements/Must-Have Skills: + +1. 10+ years of working experience as a Data Analyst with a strong understanding of data concepts (metadata, data mapping, data quality, data modeling, data governance). + +2. Hands-on experience working within Data Management and Operations, including proficiency in Data Management Tools (Collibra and IGC preferred) and understanding of data flows within a large enterprise. + +3. Working knowledge of Data Management framework and can trace data elements at origination and as they move between systems including any transformations. + +4. Working knowledge of data models, data relationships, mapping lineage and business rules using IGC (Information Governance Console) and universal catalogue. + +5. Hands-on experience with developing dashboards in PowerBI and Tableau. + + + + +Nice-To-Have Skills: + +Strong business acumen, data analysis, metadata documentation, and data quality controls skills specifically with respect to analyzing business process controls, sourcing, and provisioning of lineage, identifying data quality issues and proposing remediation steps. +Understanding of Bank’s systems i.e. ALM6, IGC, GC. +Demonstrated ability to provide evidence to 2nd and 3rd line. +Understanding or experience with Treasury. +Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services). + + + + +Best vs. Average Candidate: + +An average candidate will only have experience with data governance, whereas the ideal candidate will have expertise in both data governance and data analytics. +Extensive experience with Power BI and Tableau. +Detail-oriented and ability to work independently. + + + + +Education: + +Strong technical education background, majoring in fields that require a high degree of analytical skills, such as Engineering, Computer Science, Physics, Math, Statistics, Accounting or related field. +Show more ","
    + + + + + +
    +
    +

    Location Address: Hybrid (minimum once a week) – 44 King Street W 23rd Floor

    Contract Duration: ASAP until October 31, 2024

    Extension Opportunity: Yes

    Scheduled Hours: Monday to Friday, 8:30 am-5 pm


    Story Behind the Need:

    The Data Analyst, Data Remediation Audit Program contributes to the overall success of the Group Treasury Data Office in Canada ensuring specific individual goals, plans and initiatives are executed/delivered in support of the team’s business strategies and objectives.


    The main function of the Data Analyst role is to support the investigation, development, testing and operationalization of data solutions related to the strategic goals of the Group Treasury Data Office. This role ensures all activities are conducted in compliance with enterprise data standards, policies and procedures. This project entails a three-year road map from 2024 to 2026, an extension opportunity is available for the candidates.


    Candidate Value Proposition:

    The successful candidate will have the opportunity to work within the Bank. We are data partners that support technology and business around the world. You will get to work with and learn from diverse industry leaders, who have hailed from top technology.


    Typical Day in Role:

    • Support the Senior Manager on strategic data and innovation initiatives, presentations, and analysis with executive-level visibility for the Treasury Management team.
    • Experience working in data management and can provide hands-on support on the implementation according to Data Office playbooks, guidelines, standards, and policies (e.g., documenting initiatives, use cases, data tiering and classification, critical data elements, and business data elements).
    • Performs necessary data mapping and lineage activities and documents information flows to support specific business requirements.
    • Performs data quality rule creation, and analyzes and communicates results supporting data quality processes.
    • Builds the metadata model and business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems.


    Candidate Requirements/Must-Have Skills:

    1. 10+ years of working experience as a Data Analyst with a strong understanding of data concepts (metadata, data mapping, data quality, data modeling, data governance).

    2. Hands-on experience working within Data Management and Operations, including proficiency in Data Management Tools (Collibra and IGC preferred) and understanding of data flows within a large enterprise.

    3. Working knowledge of Data Management framework and can trace data elements at origination and as they move between systems including any transformations.

    4. Working knowledge of data models, data relationships, mapping lineage and business rules using IGC (Information Governance Console) and universal catalogue.

    5. Hands-on experience with developing dashboards in PowerBI and Tableau.


    Nice-To-Have Skills:

    • Strong business acumen, data analysis, metadata documentation, and data quality controls skills specifically with respect to analyzing business process controls, sourcing, and provisioning of lineage, identifying data quality issues and proposing remediation steps.
    • Understanding of Bank’s systems i.e. ALM6, IGC, GC.
    • Demonstrated ability to provide evidence to 2nd and 3rd line.
    • Understanding or experience with Treasury.
    • Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services).


    Best vs. Average Candidate:

    • An average candidate will only have experience with data governance, whereas the ideal candidate will have expertise in both data governance and data analytics.
    • Extensive experience with Power BI and Tableau.
    • Detail-oriented and ability to work independently.


    Education:

    • Strong technical education background, majoring in fields that require a high degree of analytical skills, such as Engineering, Computer Science, Physics, Math, Statistics, Accounting or related field.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4000154110,https://ca.linkedin.com/jobs/view/associate-data-scientist-at-circle-k-4000154110?position=52&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=0nB6m3jnLyvx73RJPfk1vg%3D%3D&trk=public_jobs_jserp-result_search-card,Associate Data Scientist,Circle K,"Scarborough, Ontario, Canada","JOIN OUR TEAM! + +At Circle K, our mission is simple: to make our customer’s lives a little easier everyday. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Couche-Tard/Circle K is. We have grown into a successful global company with over 16,000 stores in 29 countries, serving almost 9 million customers every day. In total, more than 150,000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there.   Are you ready to grow your career? Let's grow together! + +Associate Data Scientist + +_________________________________________________________________________________ + +Department: Global Data & Analytics + +Location: Toronto, ON (305 Milner Ave, Suite 400, M1B 3V4) + +Hybrid work: 3 days at the office and 2 days remotely + +Type of employment: Permanent, Full Time (40 hours) + +_________________________________________________________________________________ + +THE ROLE + +As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization. + +The Data Scientist is responsible for delivering advanced analytics projects that drive business results. The ideal candidate should possess the ability to contribute to all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation. + +We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess the abilities to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience. + +What You’ll Do + +Excited to embark on a journey with us? Here's a breakdown of the key responsibilities in this role: + + +Develop advanced analytics and predictive models from design through implementation in the areas of pricing and promotion, marketing, merchandising, and other areas of the business as needed +Participate in the research of analytical methods to find or advance solutions to business problems +Clearly and concisely explain complex analytical findings to non-analytical peers and business leaders +Create analytic datasets in collaboration with data engineering teams that involves data querying, cleaning, transformation, and feature engineering. Define requirements and test cases for Data validation and monitoring +Author programming code (e.g., SQL, Python, R, spark) to assemble and analyze data, following/establishing/enhancing organizational standards and coding practices including code management (i.e. Documentation, use of Git Hub). Lead and participate in peer code reviews for QA/QC/standards compliance. +Train/Mentor other team members, provide developmental support where necessary +Follow defined project management processes. Actively participate in project plan development and agile ceremonies (development of backlog, sprint planning, daily standups, retros/reviews) and documentation. + + +What You’ll Need + +We want you to join our team! Here's what we're looking for: + +Knowledge And Skills + + +Demonstrated knowledge of SQL, R and Python; +Experience querying large datasets using SparkSQL or PySpark; +Experience with ML frameworks such as scikit-learn, Tensorflow, Keras, Pytorch, etc.; +Exposure with software development practices, object-oriented principles and test automation; +Exposure to version control systems such as Git – experience preferred +Experience with cloud-based analytics environments (Azure, AWS or GCP); +Experience applying operational research, statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.; +Exposure to agile methodologies using project planning and tracking management tools e.g., JIRA; experience preferred +Strong problem-solving skills including problem spotting and problem scoping; +Strong interpersonal skills, including the ability to communicate the business benefits of analytics; +Availability to travel up to 10% of the time + + +Education + + +Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) +Master’s degree preferred +Internships / experience in data science or related roles preferred +Masters degree / Bachelors + internship experience in a data science/advanced analytics role, or demonstrated ability to perform job functions via academic project/internship experience + + +Why You Should Work Here + +At Couche-Tard/Circle K, we believe that our team members are the heart and soul of our business. When you join us, you're not just getting a job – you're becoming part of a vibrant community where your talents are valued, your growth is nurtured, and your contributions make a real difference. Here's why you'll love working with us: + +Benefits Package + + +Group Insurance Program: Stay healthy and happy! Our plan provides you with the flexibility to choose coverage that best meets your needs and add optional insurance (health and dental care, long-term disability, life insurance, health spending account) +Pension Plan: Plan for your future and retire with peace of mind with our pension plan, helping you build a secure financial future. +Share Purchase Plan: Invest in your future and share in our success with our employee stock purchase plan, allowing you to become a shareholder of Circle K. +Paid Time Off: Recharge and rejuvenate with paid time off, including vacation days, sick days, and personal days to help you maintain a healthy work-life balance. + + +Additional Perks + + +Training and Development: Grow your skills and advance your career with access to ongoing training and development opportunities, including workshops, seminars, and online courses. +Recognition and Rewards: We celebrate our team's achievements and milestones with a range of recognition programs, rewards, and incentives to show our appreciation for your hard work and dedication. +Mentorship Program: Take your career to new heights with our mentorship program, where seasoned professionals provide guidance, support, and valuable insights to help you reach your full potential. +Scholarship Program: Invest in your education and future success with our scholarship program, available not only to our employees but also to their children. We're committed to supporting your lifelong learning journey and empowering you to achieve your academic and career goals. + + +INTERESTED? You are only a few clicks away from joining an exceptional company! Visit our careers page at https://workwithus.circlek.com/ca/en to submit your application. We can't wait to hear from you! + +At Circle K, we're committed to fostering an inclusive and diverse workplace where everyone is treated with respect and dignity. We welcome individuals from all backgrounds and walks of life to join our team and contribute their unique perspectives and talents. + +We thank all candidates for their interest in this position. Please note that only selected candidates will be contacted for further steps in the hiring process. + +Circle K values diversity in the workplace and encourages applications from the following designated groups: women, aboriginal peoples, persons with disabilities and members of visible minorities. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations are available on request in all aspects of the selection process. + + +Show more ","
    + + + + + +
    +
    + JOIN OUR TEAM!

    At Circle K, our mission is simple: to make our customer’s lives a little easier everyday. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Couche-Tard/Circle K is. We have grown into a successful global company with over 16,000 stores in 29 countries, serving almost 9 million customers every day. In total, more than 150,000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there.   Are you ready to grow your career? Let's grow together!

    Associate Data Scientist

    _________________________________________________________________________________

    Department: Global Data & Analytics

    Location: Toronto, ON (305 Milner Ave, Suite 400, M1B 3V4)

    Hybrid work: 3 days at the office and 2 days remotely

    Type of employment: Permanent, Full Time (40 hours)

    _________________________________________________________________________________

    THE ROLE

    As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization.

    The Data Scientist is responsible for delivering advanced analytics projects that drive business results. The ideal candidate should possess the ability to contribute to all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation.

    We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess the abilities to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience.

    What You’ll Do

    Excited to embark on a journey with us? Here's a breakdown of the key responsibilities in this role:

    • Develop advanced analytics and predictive models from design through implementation in the areas of pricing and promotion, marketing, merchandising, and other areas of the business as needed
    • Participate in the research of analytical methods to find or advance solutions to business problems
    • Clearly and concisely explain complex analytical findings to non-analytical peers and business leaders
    • Create analytic datasets in collaboration with data engineering teams that involves data querying, cleaning, transformation, and feature engineering. Define requirements and test cases for Data validation and monitoring
    • Author programming code (e.g., SQL, Python, R, spark) to assemble and analyze data, following/establishing/enhancing organizational standards and coding practices including code management (i.e. Documentation, use of Git Hub). Lead and participate in peer code reviews for QA/QC/standards compliance.
    • Train/Mentor other team members, provide developmental support where necessary
    • Follow defined project management processes. Actively participate in project plan development and agile ceremonies (development of backlog, sprint planning, daily standups, retros/reviews) and documentation.

    What You’ll Need

    We want you to join our team! Here's what we're looking for:

    Knowledge And Skills

    • Demonstrated knowledge of SQL, R and Python;
    • Experience querying large datasets using SparkSQL or PySpark;
    • Experience with ML frameworks such as scikit-learn, Tensorflow, Keras, Pytorch, etc.;
    • Exposure with software development practices, object-oriented principles and test automation;
    • Exposure to version control systems such as Git – experience preferred
    • Experience with cloud-based analytics environments (Azure, AWS or GCP);
    • Experience applying operational research, statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.;
    • Exposure to agile methodologies using project planning and tracking management tools e.g., JIRA; experience preferred
    • Strong problem-solving skills including problem spotting and problem scoping;
    • Strong interpersonal skills, including the ability to communicate the business benefits of analytics;
    • Availability to travel up to 10% of the time

    Education

    • Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
    • Master’s degree preferred
    • Internships / experience in data science or related roles preferred
    • Masters degree / Bachelors + internship experience in a data science/advanced analytics role, or demonstrated ability to perform job functions via academic project/internship experience

    Why You Should Work Here

    At Couche-Tard/Circle K, we believe that our team members are the heart and soul of our business. When you join us, you're not just getting a job – you're becoming part of a vibrant community where your talents are valued, your growth is nurtured, and your contributions make a real difference. Here's why you'll love working with us:

    Benefits Package

    • Group Insurance Program: Stay healthy and happy! Our plan provides you with the flexibility to choose coverage that best meets your needs and add optional insurance (health and dental care, long-term disability, life insurance, health spending account)
    • Pension Plan: Plan for your future and retire with peace of mind with our pension plan, helping you build a secure financial future.
    • Share Purchase Plan: Invest in your future and share in our success with our employee stock purchase plan, allowing you to become a shareholder of Circle K.
    • Paid Time Off: Recharge and rejuvenate with paid time off, including vacation days, sick days, and personal days to help you maintain a healthy work-life balance.

    Additional Perks

    • Training and Development: Grow your skills and advance your career with access to ongoing training and development opportunities, including workshops, seminars, and online courses.
    • Recognition and Rewards: We celebrate our team's achievements and milestones with a range of recognition programs, rewards, and incentives to show our appreciation for your hard work and dedication.
    • Mentorship Program: Take your career to new heights with our mentorship program, where seasoned professionals provide guidance, support, and valuable insights to help you reach your full potential.
    • Scholarship Program: Invest in your education and future success with our scholarship program, available not only to our employees but also to their children. We're committed to supporting your lifelong learning journey and empowering you to achieve your academic and career goals.

    INTERESTED? You are only a few clicks away from joining an exceptional company! Visit our careers page at https://workwithus.circlek.com/ca/en to submit your application. We can't wait to hear from you!

    At Circle K, we're committed to fostering an inclusive and diverse workplace where everyone is treated with respect and dignity. We welcome individuals from all backgrounds and walks of life to join our team and contribute their unique perspectives and talents.

    We thank all candidates for their interest in this position. Please note that only selected candidates will be contacted for further steps in the hiring process.

    Circle K values diversity in the workplace and encourages applications from the following designated groups: women, aboriginal peoples, persons with disabilities and members of visible minorities. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations are available on request in all aspects of the selection process.

     +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3999929656,https://ca.linkedin.com/jobs/view/senior-data-analyst-at-etraveli-group-3999929656?position=53&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=BHtjur402f%2BfD0%2BiF0ZsRw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,Etraveli Group,"Toronto, Ontario, Canada","About Tripstack + +We are travel tech entrepreneurs, changing the way millions of people travel. + +Our proprietary Virtual Interlining (VI) technology provides access to billions of travel itineraries by combining flights from different airline carriers that don't traditionally work together. We take our customers from destination A to B via C, at the lowest possible price. We are impacting the way people travel globally and provide higher margin opportunities to our partners that are some of the largest in the travel industry. + +We pride ourselves on the performance-driven environment we have created for our teams to prosper and excel in. We come to work ready, to challenge and be challenged. We're big enough to give our teams support but small enough that every person makes a difference. There are plenty of challenges to champion. + +The role: + +We're looking for a driven and self-starting Senior Data Analyst to join our Data team. You will contribute to our mission by leveraging analytics capabilities to improve visibility, identify opportunities for accelerating revenue growth and to drive efficiency. You will be a key member of a cross-functional Data team at Tripstack. + +Requirements + +Responsibilities: + + +Extract Insights from Large Data Sets: Analyze extensive datasets to uncover trends, patterns, and actionable insights that drive business decisions and optimize operational performance +Market Trend Analysis: Conduct thorough analyses of market trends to identify emerging opportunities for business growth and competitive advantages +KPI Development and Monitoring: Collaborate with cross-functional teams to design, implement, and monitor both new and existing key performance indicators (KPIs) that align with organizational goals +Data-Driven Partnership Strategies: Work closely with business development teams to apply data-driven methodologies in establishing and enhancing strategic partnerships, ensuring alignment with business objectives +Support Design and Deployment of A/B Tests: Work closely with product and data science functions to design experiments around hypotheses and implement measurement and reporting pipelines +Mentor Junior Analysts: You will provide guidance and mentorship to junior analysts in the team to help them develop their analytical skills and industry knowledge. Your responsibilities will include offering constructive feedback on their work, facilitating their professional growth through training and development opportunities, and ensuring they adhere to best practices and project requirements + + +Desired Skills and Experience: + + +5+ years of experience in data analytics in travel, tech or e-commerce +Bachelor's Degree in computer science, economics, mathematics, engineering or related discipline +Demonstrated ability to work with large datasets independently +Experience in building queries in SQL, automating reporting and building analytics ETL pipelines in PySpark or related languages +Experience programming in Python, R, or related languages +Experience building self service dashboards in Looker, Power BI or other BI tools +Proven interpersonal communication skills +Proven organizational skills and experience working independently +Demonstrated willingness to learn and adapt to new challenges + + +Nice to have: + + +2+ years experience with a Master's Degree in computer science, mathematics, engineering, or related discipline +Desire to learn and understand business concepts / new ideas +Knowledge of statistical techniques for experimentation & hypothesis testing, regression and statistical tests +Experience working effectively with data engineering and science teams + + + +Benefits + +What it takes to succeed here + +Ambition and dedication to make a difference and change the way people travel; Where we always play to each other's strength in a high performing team reaching for our common goal. We hold ourselves to the highest expectations, and move with a sense of urgency and hold ourselves accountable and win by staying true to what we believe in. + +Learn more about our values here + +What we offer + +We offer an opportunity to work with a young, dynamic, and a growing team composed of high-caliber professionals. We value professionalism and promote a culture where individuals are encouraged to do more and be more. If you feel you share our passion for excellence, and growth, then look no further. We have an ambitious mission, and we need a world-class team to make it a reality. Upgrade to a First Class team! +Show more ","
    + + + + + +
    +
    + About Tripstack

    We are travel tech entrepreneurs, changing the way millions of people travel.

    Our proprietary Virtual Interlining (VI) technology provides access to billions of travel itineraries by combining flights from different airline carriers that don't traditionally work together. We take our customers from destination A to B via C, at the lowest possible price. We are impacting the way people travel globally and provide higher margin opportunities to our partners that are some of the largest in the travel industry.

    We pride ourselves on the performance-driven environment we have created for our teams to prosper and excel in. We come to work ready, to challenge and be challenged. We're big enough to give our teams support but small enough that every person makes a difference. There are plenty of challenges to champion.

    The role:

    We're looking for a driven and self-starting Senior Data Analyst to join our Data team. You will contribute to our mission by leveraging analytics capabilities to improve visibility, identify opportunities for accelerating revenue growth and to drive efficiency. You will be a key member of a cross-functional Data team at Tripstack.

    Requirements

    Responsibilities:

    • Extract Insights from Large Data Sets: Analyze extensive datasets to uncover trends, patterns, and actionable insights that drive business decisions and optimize operational performance
    • Market Trend Analysis: Conduct thorough analyses of market trends to identify emerging opportunities for business growth and competitive advantages
    • KPI Development and Monitoring: Collaborate with cross-functional teams to design, implement, and monitor both new and existing key performance indicators (KPIs) that align with organizational goals
    • Data-Driven Partnership Strategies: Work closely with business development teams to apply data-driven methodologies in establishing and enhancing strategic partnerships, ensuring alignment with business objectives
    • Support Design and Deployment of A/B Tests: Work closely with product and data science functions to design experiments around hypotheses and implement measurement and reporting pipelines
    • Mentor Junior Analysts: You will provide guidance and mentorship to junior analysts in the team to help them develop their analytical skills and industry knowledge. Your responsibilities will include offering constructive feedback on their work, facilitating their professional growth through training and development opportunities, and ensuring they adhere to best practices and project requirements

    Desired Skills and Experience:

    • 5+ years of experience in data analytics in travel, tech or e-commerce
    • Bachelor's Degree in computer science, economics, mathematics, engineering or related discipline
    • Demonstrated ability to work with large datasets independently
    • Experience in building queries in SQL, automating reporting and building analytics ETL pipelines in PySpark or related languages
    • Experience programming in Python, R, or related languages
    • Experience building self service dashboards in Looker, Power BI or other BI tools
    • Proven interpersonal communication skills
    • Proven organizational skills and experience working independently
    • Demonstrated willingness to learn and adapt to new challenges

    Nice to have:

    • 2+ years experience with a Master's Degree in computer science, mathematics, engineering, or related discipline
    • Desire to learn and understand business concepts / new ideas
    • Knowledge of statistical techniques for experimentation & hypothesis testing, regression and statistical tests
    • Experience working effectively with data engineering and science teams


    Benefits

    What it takes to succeed here

    Ambition and dedication to make a difference and change the way people travel; Where we always play to each other's strength in a high performing team reaching for our common goal. We hold ourselves to the highest expectations, and move with a sense of urgency and hold ourselves accountable and win by staying true to what we believe in.

    Learn more about our values here

    What we offer

    We offer an opportunity to work with a young, dynamic, and a growing team composed of high-caliber professionals. We value professionalism and promote a culture where individuals are encouraged to do more and be more. If you feel you share our passion for excellence, and growth, then look no further. We have an ambitious mission, and we need a world-class team to make it a reality. Upgrade to a First Class team! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +4000238462,https://ca.linkedin.com/jobs/view/data-analyst-biomedical-saas-at-lumerate-4000238462?position=55&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=M7jZAqx9gvGLX5kafbtCvg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - Biomedical SaaS,Lumerate,"Toronto, Ontario, Canada","Lumerate is growing rapidly, and we’re searching for a Data Analyst - Biomedical SaaS to join our team for the journey! + + + + +Who is Lumerate? + + + + +Lumerate is a Toronto-based SaaS company that has built game-changing technology to help sales teams accelerate revenue growth. We help our customers achieve the full picture of their industries. We also strive to achieve our own personal full pictures from a career fulfillment and learning perspective. We’re in the business of gathering intelligence about industries and delivering it to the right people within those industries through innovative software interfaces. Our vision is to be the world's most useful and trusted source of information for professionals seeking to understand what's happening in their industry. Our mission is to deliver industry awareness to an ever-increasing number of people, in whatever way helps them to make the most informed decisions, take the most immediate action and be the most awesome at their unique jobs. + + + + +This Data Analyst - Biomedical SaaS role is ideal for a recent graduate or someone looking to kickstart their career in data analysis. You’ll be responsible for data cleaning and preprocessing to ensure the highest standards of data quality and accuracy. + + + + +What you’ll be responsible for + + + + +Hunting for information on the web and within hard-to-reach datasets +Organizing and structuring unstructured data +Setting up workflows in Google Sheets +Working with LLMs (prompt engineering) +Running experiments and documenting your findings +Becoming proficient in various scripting languages +Using industrial-scale AI tools to enhance and scale your research efforts +Tracking changes within specific online data sources +Working with commercial teams to align data efforts with customer priorities + + + + +Core Skills and Experience + + + + +Bachelors (required), Masters or PhD (preference) in a biomedical field of science +You have conducted biomedical research during your career, meaning you’ve used a pipette outside of coursework (Note: While this role does not involve working in a wet lab, we are looking for someone who has hands-on lab experience) +You are proficient with medium-complexity functions in Google Sheets or Excel +You are meticulous and have a keen eye for detail +You enjoy puzzles, which is why you will find and include the word located at these coordinates 43.63565745335677, -79.43972483985826 in your cover letter + + + + +The ideal candidate + + + + +Is ultra curious about how the world works Is deeply curious about how the world works +Wants to work at an intersection of software and biology +Loves hunting for information and organizing it effectively +Values a strong and positive company culture + + + + +Why Lumerate? Fancy perks etc. + + + + +Be a part of a tightly-knit team with a thriving hybrid culture +Three weeks paid vacation + paid statutory holidays +Upgrade your home office setup with our hybrid stipend +Join us for our annual all-company retreat (past destinations include Iceland, Costa Rica, Portugal and Dominican Republic) +Earn additional paid vacation days with continued learning ($1000 annual stipend for courses and classes) +Take part in our Employee Giving Program (you choose the causes and the company provides the funds) +Basic and extended health and dental benefits + paid and topped-up maternal and parental leave for full-time employees + + + + + + + +Salary: $65,000-$75,000 per year + + + + +Start Date: As soon as the successful candidate is available + + + + +Location: The successful candidate is based in the Greater Toronto Area, working Hybrid from home 2 days/week, while enjoying the benefits of in-person interactions at our Toronto office 3 days/week. + + + + +Already envisioning your first day at Lumerate as a Data Analyst? Apply now with your cover letter and resumé! We look forward to hearing from you. ‍Please note that any applications without a cover letter will not be considered. Candidates must be legally eligible to work in Canada. + + + + +Lumerate is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. + +Show more ","
    + + + + + +
    +
    +

    Lumerate is growing rapidly, and we’re searching for a Data Analyst - Biomedical SaaS to join our team for the journey!


    Who is Lumerate?


    Lumerate is a Toronto-based SaaS company that has built game-changing technology to help sales teams accelerate revenue growth. We help our customers achieve the full picture of their industries. We also strive to achieve our own personal full pictures from a career fulfillment and learning perspective. We’re in the business of gathering intelligence about industries and delivering it to the right people within those industries through innovative software interfaces. Our vision is to be the world's most useful and trusted source of information for professionals seeking to understand what's happening in their industry. Our mission is to deliver industry awareness to an ever-increasing number of people, in whatever way helps them to make the most informed decisions, take the most immediate action and be the most awesome at their unique jobs.


    This Data Analyst - Biomedical SaaS role is ideal for a recent graduate or someone looking to kickstart their career in data analysis. You’ll be responsible for data cleaning and preprocessing to ensure the highest standards of data quality and accuracy.


    What you’ll be responsible for


    • Hunting for information on the web and within hard-to-reach datasets
    • Organizing and structuring unstructured data
    • Setting up workflows in Google Sheets
    • Working with LLMs (prompt engineering)
    • Running experiments and documenting your findings
    • Becoming proficient in various scripting languages
    • Using industrial-scale AI tools to enhance and scale your research efforts
    • Tracking changes within specific online data sources
    • Working with commercial teams to align data efforts with customer priorities


    Core Skills and Experience


    • Bachelors (required), Masters or PhD (preference) in a biomedical field of science
    • You have conducted biomedical research during your career, meaning you’ve used a pipette outside of coursework (Note: While this role does not involve working in a wet lab, we are looking for someone who has hands-on lab experience)
    • You are proficient with medium-complexity functions in Google Sheets or Excel
    • You are meticulous and have a keen eye for detail
    • You enjoy puzzles, which is why you will find and include the word located at these coordinates 43.63565745335677, -79.43972483985826 in your cover letter


    The ideal candidate


    • Is ultra curious about how the world works Is deeply curious about how the world works
    • Wants to work at an intersection of software and biology
    • Loves hunting for information and organizing it effectively
    • Values a strong and positive company culture


    Why Lumerate? Fancy perks etc.


    • Be a part of a tightly-knit team with a thriving hybrid culture
    • Three weeks paid vacation + paid statutory holidays
    • Upgrade your home office setup with our hybrid stipend
    • Join us for our annual all-company retreat (past destinations include Iceland, Costa Rica, Portugal and Dominican Republic)
    • Earn additional paid vacation days with continued learning ($1000 annual stipend for courses and classes)
    • Take part in our Employee Giving Program (you choose the causes and the company provides the funds)
    • Basic and extended health and dental benefits + paid and topped-up maternal and parental leave for full-time employees



    Salary: $65,000-$75,000 per year


    Start Date: As soon as the successful candidate is available


    Location: The successful candidate is based in the Greater Toronto Area, working Hybrid from home 2 days/week, while enjoying the benefits of in-person interactions at our Toronto office 3 days/week.


    Already envisioning your first day at Lumerate as a Data Analyst? Apply now with your cover letter and resumé! We look forward to hearing from you. ‍Please note that any applications without a cover letter will not be considered. Candidates must be legally eligible to work in Canada.


    Lumerate is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3992706700,https://ca.linkedin.com/jobs/view/senior-data-analyst-at-open-systems-technologies-3992706700?position=56&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=TeLiNTj60XXoUlrbWfx0ZA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,Open Systems Technologies,"Mississauga, Ontario, Canada","Open Systems Tech is looking for a Senior Data Analyst for one of our Financial services clients. This is a time sensitive opportunity, please apply ASAP. + + + + +Job Title: Senior Data Analyst + +Location: Mississauga - 3 days - Hybrid + +Term: 1 year contract plus extension + + + + +Job Description: + +Strong SQL skills are essential; experience writing complex queries spanning multiple tables is required. + +10+ years of experience in IT and data base/data warehouse domain. + +Advanced level MS Excel and data interpretation/visualization techniques. + +Strong Domain knowledge of OTC derivatives & Markets. + +Exposure to scripting language like shell scripting, python is required. + +Good communication and organizational skills. + + + + +Responsibilities: + +The resource will be involved in working on implementation and governance of Data Quality and Controls on Cloudera/big data platform. +Working with source systems that publish transactions to Cloudera data platform and perform RCA on controls failed. +Day-to-day activity would involve working extensively on complex SQLs that are run on Hive/IMPALA DB. +Running daily/weekly reports and visualizations, Advanced excel / visualization techniques +Experience on Olympus platform (big data/cloud), data warehouse solution, big data (python/shell scripting), cloud experience, Hive, impala. +Show more ","
    + + + + + +
    +
    +

    Open Systems Tech is looking for a Senior Data Analyst for one of our Financial services clients. This is a time sensitive opportunity, please apply ASAP.


    Job Title: Senior Data Analyst

    Location: Mississauga - 3 days - Hybrid

    Term: 1 year contract plus extension


    Job Description:

    Strong SQL skills are essential; experience writing complex queries spanning multiple tables is required.

    10+ years of experience in IT and data base/data warehouse domain.

    Advanced level MS Excel and data interpretation/visualization techniques.

    Strong Domain knowledge of OTC derivatives & Markets.

    Exposure to scripting language like shell scripting, python is required.

    Good communication and organizational skills.


    Responsibilities:

    1. The resource will be involved in working on implementation and governance of Data Quality and Controls on Cloudera/big data platform.
    2. Working with source systems that publish transactions to Cloudera data platform and perform RCA on controls failed.
    3. Day-to-day activity would involve working extensively on complex SQLs that are run on Hive/IMPALA DB.
    4. Running daily/weekly reports and visualizations, Advanced excel / visualization techniques
    5. Experience on Olympus platform (big data/cloud), data warehouse solution, big data (python/shell scripting), cloud experience, Hive, impala.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +4004575114,https://ca.linkedin.com/jobs/view/junior-hdo-data-engineer-at-zortech-solutions-4004575114?position=58&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=opzbaTgCZzfrfQ%2BD3bH11Q%3D%3D&trk=public_jobs_jserp-result_search-card,Junior HDO Data Engineer,Zortech Solutions,"Toronto, Ontario, Canada","However, this candidate needs to be able to read and write in French; speaking Spanish would be a bonus. + +Key Responsibilities + + +Collaborate with cross-functional teams to identify and prioritize quick win opportunities for + + +data-driven insights and improvements. + + +Design, develop, and maintain ETL processes to extract, transform, and load data from + + +various sources into our data infrastructure. + + +Implement and optimize genAI LLM models to enhance data analysis and predictive + + +capabilities. + + +Ensure data quality and integrity by implementing data validation and cleansing processes. +Develop and maintain data pipelines to support real-time and batch data processing. +Collaborate with Data Scientists and Machine Learning Engineers to deploy and + + +operationalize AI models. + + +Monitor and troubleshoot data pipelines and resolve any issues or bottlenecks. +Develop solutions to automate processes using power of AI & data. +Stay up-to-date with the latest trends and advancements in data engineering, AI, and + + +machine learning technologies + +Qualifications + +What you bring + + +University degree in Computer Science, Data Science, or a related field. +Experience as a Data Engineer or similar role, working on data transformation and + + +AI-related projects. + + +Strong programming skills in Python for data manipulation, analysis, and automation. +Strong business acumen +Familiarity with genAI LLM models and their implementation. +Solid understanding of data warehousing concepts and data modeling. +Strong problem-solving and analytical skills. +Excellent communication and collaboration skills to work effectively with cross-functional + + +teams. + + +You are comfortable with high level of ambiguity and possess a continuous improvement + + +mindset + + +You enjoy quantitative analysis and have a reputation for being a problem-solver and + + +creative thinker + + +You have the ability to maintain high workloads, including the management of competing + + +priorities and multiple projects at once + + +You have experience in successfully launching new products +Any experience in UI/Web page/Bot development would be nice to have. + + +has context menu +Show more ","
    + + + + + +
    +
    + However, this candidate needs to be able to read and write in French; speaking Spanish would be a bonus.

    Key Responsibilities

    • Collaborate with cross-functional teams to identify and prioritize quick win opportunities for

    data-driven insights and improvements.

    • Design, develop, and maintain ETL processes to extract, transform, and load data from

    various sources into our data infrastructure.

    • Implement and optimize genAI LLM models to enhance data analysis and predictive

    capabilities.

    • Ensure data quality and integrity by implementing data validation and cleansing processes.
    • Develop and maintain data pipelines to support real-time and batch data processing.
    • Collaborate with Data Scientists and Machine Learning Engineers to deploy and

    operationalize AI models.

    • Monitor and troubleshoot data pipelines and resolve any issues or bottlenecks.
    • Develop solutions to automate processes using power of AI & data.
    • Stay up-to-date with the latest trends and advancements in data engineering, AI, and

    machine learning technologies

    Qualifications

    What you bring

    • University degree in Computer Science, Data Science, or a related field.
    • Experience as a Data Engineer or similar role, working on data transformation and

    AI-related projects.

    • Strong programming skills in Python for data manipulation, analysis, and automation.
    • Strong business acumen
    • Familiarity with genAI LLM models and their implementation.
    • Solid understanding of data warehousing concepts and data modeling.
    • Strong problem-solving and analytical skills.
    • Excellent communication and collaboration skills to work effectively with cross-functional

    teams.

    • You are comfortable with high level of ambiguity and possess a continuous improvement

    mindset

    • You enjoy quantitative analysis and have a reputation for being a problem-solver and

    creative thinker

    • You have the ability to maintain high workloads, including the management of competing

    priorities and multiple projects at once

    • You have experience in successfully launching new products
    • Any experience in UI/Web page/Bot development would be nice to have.

    has context menu +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3994962035,https://ca.linkedin.com/jobs/view/junior-analytics-developer-at-verb-interactive-3994962035?position=59&pageNum=0&refId=1vAkrmejCMh3fpiMO5M%2FZw%3D%3D&trackingId=l6vNnA8S%2BzCHu7fYZewJ9g%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Analytics Developer,VERB Interactive,"Toronto, Ontario, Canada","VERB is a digital marketing and technology agency located in downtown Halifax, Nova Scotia. Our global clients offer the opportunity to work and collaborate with some of the world's biggest destinations, resorts, and travel brands—and with our employee travel credit, it's easy to experience them for yourself. We take a balanced approach to work/life and have fun at the office- or wherever we happen to be working. We are passionate about exceeding expectations and we thrive on jobs other agencies might find too big, or too difficult, or too fast + +Sound good? Great, here's who we're looking for... + +The Junior Analytics Developer supports the implementation of web tracking strategies for client websites, while supporting their team with ad hoc bug fixes. + +What You Will Do + + +Set up complete analytics tracking (Page Data, eCommerce, UX) with Google Analytics +Work with DOM elements, dataLayer events and A/B testing platforms to monitor and track events +Communicate issues/ticket updates to Analytics team and other internal stakeholders +Integrate third-party APIs and libraries +Stay on top of maintenance and bug fixes for existing interactions in the browser, session, and DOM across various platforms (marketing, ecommerce, etc.) + + + +Requirements + + +0-3 years of JavaScript experience with knowledge of concepts such as, asynchronous programming, closures, types, and ES5/ES6 +Post-secondary education with a focus in IT Web Programming, Computer Science, or equivalent experience +Knowledge of Google Tag Manager, Google Analytics, DoubleClick for Publishers, Adobe Analytics is an asset +Knowledge of code versioning (Git) and CI/CD process +Up-to-date on current web trends and standards +Excellent attention to detail +Excellent written and verbal communication +Highly organized with the ability to function in a fast-paced business environment + + + +Benefits + +Our benefits are anything but basic, with vacation time available on day one (not to mention an extra bonus week during the holidays), an annual travel credit (for non-work related travel), and free office snacks and drinks to keep you energized when you're around. + +In addition, we offer the following and are consistently looking for new ways to enhance the benefits we offer to our team: + + +100% premium share option for Group Health Insurance (medical, dental, vision), with a health spending account to top up your claims +A wellness spending account +Company matching RRSP program +Top up for Parental/Pregnancy leave +Remote and flexible work arrangements +Transit and fitness discounts +Recreational sports teams +Learning and development opportunities with a multitude of resources +Internal recognition programs +Show more ","
    + + + + + +
    +
    + VERB is a digital marketing and technology agency located in downtown Halifax, Nova Scotia. Our global clients offer the opportunity to work and collaborate with some of the world's biggest destinations, resorts, and travel brands—and with our employee travel credit, it's easy to experience them for yourself. We take a balanced approach to work/life and have fun at the office- or wherever we happen to be working. We are passionate about exceeding expectations and we thrive on jobs other agencies might find too big, or too difficult, or too fast

    Sound good? Great, here's who we're looking for...

    The Junior Analytics Developer supports the implementation of web tracking strategies for client websites, while supporting their team with ad hoc bug fixes.

    What You Will Do

    • Set up complete analytics tracking (Page Data, eCommerce, UX) with Google Analytics
    • Work with DOM elements, dataLayer events and A/B testing platforms to monitor and track events
    • Communicate issues/ticket updates to Analytics team and other internal stakeholders
    • Integrate third-party APIs and libraries
    • Stay on top of maintenance and bug fixes for existing interactions in the browser, session, and DOM across various platforms (marketing, ecommerce, etc.)


    Requirements

    • 0-3 years of JavaScript experience with knowledge of concepts such as, asynchronous programming, closures, types, and ES5/ES6
    • Post-secondary education with a focus in IT Web Programming, Computer Science, or equivalent experience
    • Knowledge of Google Tag Manager, Google Analytics, DoubleClick for Publishers, Adobe Analytics is an asset
    • Knowledge of code versioning (Git) and CI/CD process
    • Up-to-date on current web trends and standards
    • Excellent attention to detail
    • Excellent written and verbal communication
    • Highly organized with the ability to function in a fast-paced business environment


    Benefits

    Our benefits are anything but basic, with vacation time available on day one (not to mention an extra bonus week during the holidays), an annual travel credit (for non-work related travel), and free office snacks and drinks to keep you energized when you're around.

    In addition, we offer the following and are consistently looking for new ways to enhance the benefits we offer to our team:

    • 100% premium share option for Group Health Insurance (medical, dental, vision), with a health spending account to top up your claims
    • A wellness spending account
    • Company matching RRSP program
    • Top up for Parental/Pregnancy leave
    • Remote and flexible work arrangements
    • Transit and fitness discounts
    • Recreational sports teams
    • Learning and development opportunities with a multitude of resources
    • Internal recognition programs
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3991905426,https://ca.linkedin.com/jobs/view/data-insights-analyst-at-cineplex-3991905426?position=2&pageNum=2&refId=GHMNAIVbptXDTczRdI6Wuw%3D%3D&trackingId=wSpAbD9zcH3QgEwnEgrfUw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Insights Analyst,Cineplex,"Toronto, Ontario, Canada","Work location: + +Home Office 1303 Yonge St + +City: + +Toronto + +What you will do: + +Data Insights Analyst + +Hybrid position working from the Cineplex corporate office at 1303 Yonge Street, Toronto (Yonge, south of St. Clair) 3 days per week. + +The Data Insights Analyst will join the Data Science & Insights team that empowers the Cineplex organization to optimize and delight the customer experience with data-informed insights and capabilities. + +The successful candidate will play a pivotal role in evolving Cineplex’s ability to extract and present actionable data insights to key stakeholders in order to better understand and improve the end-to-end customer experience across Cineplex’s digital and offline channels. The Analyst is responsible for collaborating with product and design teams to support their KPIs and dashboard requirements, and communicating actionable insights to key stakeholders in order to improve the customer experience. + +Key Responsibilities: + +Technical & Business Expertise + + +Provide analytical expertise of the customer and digital data ecosystem with a strong command of data analysis techniques and data collection processes +Develop and maintain user-friendly dashboards, scorecards, and presentations that clearly highlight the actionable insights and opportunities +Understand the “big picture” and how customer and market insights tie back to business priorities + + +Inspiring & Influencing + + +Be the subject matter expert to represent the customer data and digital analytics function on cross-functional product teams +Influence and use data insights to tell stories through distilling complex concepts into simple themes that are relevant to key stakeholders, teams, and executives + + +Teamwork & Collaboration + + +Collaborate closely with a variety of product development teams to define their business and data requirements to better understand the performance and effectiveness of various strategic priorities +Gather and prioritize net new data requests from key stakeholders to the data engineering and data science teams based on business value + + +Education and Certification: + + +Bachelor’s or equivalent degrees in economics, computer science, engineering, or similar fields with a quantitative focus + + +Experience Needed: + + +3-5 years’ experience with building data models, querying/organizing large datasets, and visualizing data into dashboards (i.e. SQL/databases, Power BI, Tableau, Excel, etc.) is required. +3-5 years’ experience working with Adobe Analytics and/or Google Analytics is required. +3-5 years’ experience with interpreting and presenting insights to a variety of stakeholders with varying data competencies, including executives +Experience with other Adobe products is considered an asset (i.e. Target, Launch, Experience Platform) + + +Knowledge, Skills and Abilities: + + +High proficiency in data storytelling and presentation, written, and verbal communication skills to executives and multiple stakeholder teams +Strong planning and organizational skills with the ability to perform effectively in an environment with many competing demands +Deep understanding of market research and analytics to ensure our analytics and insights practice is the gold standard in the industry +Familiar with agile methodology and practices +Proven ability to work creatively and analytically in a problem-solving environment +Comfortable to challenge the status quo enabling effective decision making + + +Inclusion & Diversity + +Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce. We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture. By valuing a diverse workforce, we enforce hiring practices that are fair and equitable. + +Accessibility + +We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment oporunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at 416-323-6600 or via email at jobs@cineplex.com. + +While we appreciate all interest, only those candidates selected for an interview will be contacted. +Show more ","
    + + + + + +
    +
    + Work location:

    Home Office 1303 Yonge St

    City:

    Toronto

    What you will do:

    Data Insights Analyst

    Hybrid position working from the Cineplex corporate office at 1303 Yonge Street, Toronto (Yonge, south of St. Clair) 3 days per week.

    The Data Insights Analyst will join the Data Science & Insights team that empowers the Cineplex organization to optimize and delight the customer experience with data-informed insights and capabilities.

    The successful candidate will play a pivotal role in evolving Cineplex’s ability to extract and present actionable data insights to key stakeholders in order to better understand and improve the end-to-end customer experience across Cineplex’s digital and offline channels. The Analyst is responsible for collaborating with product and design teams to support their KPIs and dashboard requirements, and communicating actionable insights to key stakeholders in order to improve the customer experience.

    Key Responsibilities:

    Technical & Business Expertise

    • Provide analytical expertise of the customer and digital data ecosystem with a strong command of data analysis techniques and data collection processes
    • Develop and maintain user-friendly dashboards, scorecards, and presentations that clearly highlight the actionable insights and opportunities
    • Understand the “big picture” and how customer and market insights tie back to business priorities

    Inspiring & Influencing

    • Be the subject matter expert to represent the customer data and digital analytics function on cross-functional product teams
    • Influence and use data insights to tell stories through distilling complex concepts into simple themes that are relevant to key stakeholders, teams, and executives

    Teamwork & Collaboration

    • Collaborate closely with a variety of product development teams to define their business and data requirements to better understand the performance and effectiveness of various strategic priorities
    • Gather and prioritize net new data requests from key stakeholders to the data engineering and data science teams based on business value

    Education and Certification:

    • Bachelor’s or equivalent degrees in economics, computer science, engineering, or similar fields with a quantitative focus

    Experience Needed:

    • 3-5 years’ experience with building data models, querying/organizing large datasets, and visualizing data into dashboards (i.e. SQL/databases, Power BI, Tableau, Excel, etc.) is required.
    • 3-5 years’ experience working with Adobe Analytics and/or Google Analytics is required.
    • 3-5 years’ experience with interpreting and presenting insights to a variety of stakeholders with varying data competencies, including executives
    • Experience with other Adobe products is considered an asset (i.e. Target, Launch, Experience Platform)

    Knowledge, Skills and Abilities:

    • High proficiency in data storytelling and presentation, written, and verbal communication skills to executives and multiple stakeholder teams
    • Strong planning and organizational skills with the ability to perform effectively in an environment with many competing demands
    • Deep understanding of market research and analytics to ensure our analytics and insights practice is the gold standard in the industry
    • Familiar with agile methodology and practices
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Comfortable to challenge the status quo enabling effective decision making

    Inclusion & Diversity

    Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce. We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture. By valuing a diverse workforce, we enforce hiring practices that are fair and equitable.

    Accessibility

    We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment oporunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at 416-323-6600 or via email at jobs@cineplex.com.

    While we appreciate all interest, only those candidates selected for an interview will be contacted. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-04,[] +3999929656,https://ca.linkedin.com/jobs/view/senior-data-analyst-at-etraveli-group-3999929656?position=3&pageNum=2&refId=GHMNAIVbptXDTczRdI6Wuw%3D%3D&trackingId=gXKol2X%2Fq0dPKZLfiU2EnQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,Etraveli Group,"Toronto, Ontario, Canada","About Tripstack + +We are travel tech entrepreneurs, changing the way millions of people travel. + +Our proprietary Virtual Interlining (VI) technology provides access to billions of travel itineraries by combining flights from different airline carriers that don't traditionally work together. We take our customers from destination A to B via C, at the lowest possible price. We are impacting the way people travel globally and provide higher margin opportunities to our partners that are some of the largest in the travel industry. + +We pride ourselves on the performance-driven environment we have created for our teams to prosper and excel in. We come to work ready, to challenge and be challenged. We're big enough to give our teams support but small enough that every person makes a difference. There are plenty of challenges to champion. + +The role: + +We're looking for a driven and self-starting Senior Data Analyst to join our Data team. You will contribute to our mission by leveraging analytics capabilities to improve visibility, identify opportunities for accelerating revenue growth and to drive efficiency. You will be a key member of a cross-functional Data team at Tripstack. + +Requirements + +Responsibilities: + + +Extract Insights from Large Data Sets: Analyze extensive datasets to uncover trends, patterns, and actionable insights that drive business decisions and optimize operational performance +Market Trend Analysis: Conduct thorough analyses of market trends to identify emerging opportunities for business growth and competitive advantages +KPI Development and Monitoring: Collaborate with cross-functional teams to design, implement, and monitor both new and existing key performance indicators (KPIs) that align with organizational goals +Data-Driven Partnership Strategies: Work closely with business development teams to apply data-driven methodologies in establishing and enhancing strategic partnerships, ensuring alignment with business objectives +Support Design and Deployment of A/B Tests: Work closely with product and data science functions to design experiments around hypotheses and implement measurement and reporting pipelines +Mentor Junior Analysts: You will provide guidance and mentorship to junior analysts in the team to help them develop their analytical skills and industry knowledge. Your responsibilities will include offering constructive feedback on their work, facilitating their professional growth through training and development opportunities, and ensuring they adhere to best practices and project requirements + + +Desired Skills and Experience: + + +5+ years of experience in data analytics in travel, tech or e-commerce +Bachelor's Degree in computer science, economics, mathematics, engineering or related discipline +Demonstrated ability to work with large datasets independently +Experience in building queries in SQL, automating reporting and building analytics ETL pipelines in PySpark or related languages +Experience programming in Python, R, or related languages +Experience building self service dashboards in Looker, Power BI or other BI tools +Proven interpersonal communication skills +Proven organizational skills and experience working independently +Demonstrated willingness to learn and adapt to new challenges + + +Nice to have: + + +2+ years experience with a Master's Degree in computer science, mathematics, engineering, or related discipline +Desire to learn and understand business concepts / new ideas +Knowledge of statistical techniques for experimentation & hypothesis testing, regression and statistical tests +Experience working effectively with data engineering and science teams + + + +Benefits + +What it takes to succeed here + +Ambition and dedication to make a difference and change the way people travel; Where we always play to each other's strength in a high performing team reaching for our common goal. We hold ourselves to the highest expectations, and move with a sense of urgency and hold ourselves accountable and win by staying true to what we believe in. + +Learn more about our values here + +What we offer + +We offer an opportunity to work with a young, dynamic, and a growing team composed of high-caliber professionals. We value professionalism and promote a culture where individuals are encouraged to do more and be more. If you feel you share our passion for excellence, and growth, then look no further. We have an ambitious mission, and we need a world-class team to make it a reality. Upgrade to a First Class team! +Show more ","
    + + + + + +
    +
    + About Tripstack

    We are travel tech entrepreneurs, changing the way millions of people travel.

    Our proprietary Virtual Interlining (VI) technology provides access to billions of travel itineraries by combining flights from different airline carriers that don't traditionally work together. We take our customers from destination A to B via C, at the lowest possible price. We are impacting the way people travel globally and provide higher margin opportunities to our partners that are some of the largest in the travel industry.

    We pride ourselves on the performance-driven environment we have created for our teams to prosper and excel in. We come to work ready, to challenge and be challenged. We're big enough to give our teams support but small enough that every person makes a difference. There are plenty of challenges to champion.

    The role:

    We're looking for a driven and self-starting Senior Data Analyst to join our Data team. You will contribute to our mission by leveraging analytics capabilities to improve visibility, identify opportunities for accelerating revenue growth and to drive efficiency. You will be a key member of a cross-functional Data team at Tripstack.

    Requirements

    Responsibilities:

    • Extract Insights from Large Data Sets: Analyze extensive datasets to uncover trends, patterns, and actionable insights that drive business decisions and optimize operational performance
    • Market Trend Analysis: Conduct thorough analyses of market trends to identify emerging opportunities for business growth and competitive advantages
    • KPI Development and Monitoring: Collaborate with cross-functional teams to design, implement, and monitor both new and existing key performance indicators (KPIs) that align with organizational goals
    • Data-Driven Partnership Strategies: Work closely with business development teams to apply data-driven methodologies in establishing and enhancing strategic partnerships, ensuring alignment with business objectives
    • Support Design and Deployment of A/B Tests: Work closely with product and data science functions to design experiments around hypotheses and implement measurement and reporting pipelines
    • Mentor Junior Analysts: You will provide guidance and mentorship to junior analysts in the team to help them develop their analytical skills and industry knowledge. Your responsibilities will include offering constructive feedback on their work, facilitating their professional growth through training and development opportunities, and ensuring they adhere to best practices and project requirements

    Desired Skills and Experience:

    • 5+ years of experience in data analytics in travel, tech or e-commerce
    • Bachelor's Degree in computer science, economics, mathematics, engineering or related discipline
    • Demonstrated ability to work with large datasets independently
    • Experience in building queries in SQL, automating reporting and building analytics ETL pipelines in PySpark or related languages
    • Experience programming in Python, R, or related languages
    • Experience building self service dashboards in Looker, Power BI or other BI tools
    • Proven interpersonal communication skills
    • Proven organizational skills and experience working independently
    • Demonstrated willingness to learn and adapt to new challenges

    Nice to have:

    • 2+ years experience with a Master's Degree in computer science, mathematics, engineering, or related discipline
    • Desire to learn and understand business concepts / new ideas
    • Knowledge of statistical techniques for experimentation & hypothesis testing, regression and statistical tests
    • Experience working effectively with data engineering and science teams


    Benefits

    What it takes to succeed here

    Ambition and dedication to make a difference and change the way people travel; Where we always play to each other's strength in a high performing team reaching for our common goal. We hold ourselves to the highest expectations, and move with a sense of urgency and hold ourselves accountable and win by staying true to what we believe in.

    Learn more about our values here

    What we offer

    We offer an opportunity to work with a young, dynamic, and a growing team composed of high-caliber professionals. We value professionalism and promote a culture where individuals are encouraged to do more and be more. If you feel you share our passion for excellence, and growth, then look no further. We have an ambitious mission, and we need a world-class team to make it a reality. Upgrade to a First Class team! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3999974846,https://ca.linkedin.com/jobs/view/data-analyst-neurodiversity-hiring-initiative-at-specialisterne-usa-3999974846?position=4&pageNum=2&refId=GHMNAIVbptXDTczRdI6Wuw%3D%3D&trackingId=4yLBdCLWjrsNqo1wOXZVzQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - Neurodiversity Hiring Initiative,Specialisterne USA,"Toronto, Ontario, Canada","Specialisterne is Recruiting! + +Specialisterne connects qualified neurodivergent candidates to employment opportunities in numerous industries and sectors in Canada and the US. + +To be eligible to apply, you must have experienced barriers getting and/ or maintaining meaningful employment and you identify with one of the following: + + +Autism (including Asperger’s and PDD-NOS) +Attention Deficit/Hyperactivity Disorder (ADHD) or Attention Deficit Disorder (ADD) +Learning Disability (e.g., dyslexia, dyscalculia, dysgraphia) +Intellectual Disability +Obsessive Compulsive Disorder (OCD) +Tourette Syndrome + + +Employees hired through Specialisterne will be supported by a Specialisterne Workplace Support Specialist for their first twelve weeks on the job. + +Specialisterne is proud to partner with CIBC on a Neurodiversity Hiring Initiative. + +CIBC is a leading North American financial institution. From Personal, Business and Commercial Banking to Wealth Management and Capital Markets businesses, their 44,000 employees provide a full range of financial products and services to 10 million clients in Canada, the United States and around the world. + +CIBC places a high value on diversity in its workforce, recognizes the business benefits that accrue from responding to challenges from multiple perspectives, and is exercising a leadership position in the hiring of people with disabilities. + +Applications must be submitted in full no later than September 3rd, 2024 + +Summary: + +Title: Data Analyst + +Employment Type: Full-Time + +Hours: 8:30am-5pm + +Location: Toronto, ON (Hybrid, in office 2 days per week on Wednesday and Thursday) + +Target Start Date: September 2024 + +About this Role: + +You will be joining CIBC’s Optimization and Process Engineering team and be at the centre of an innovative team that develops process improvements to make the bank more efficient. As a Data Analyst you will be involved in supporting the Process Engineering and Optimization team in the identification and implementation of process improvements to enhance client experience, reduce risk and increase profitability. You will use direct client feedback as well as analysis of system data to understand the challenges of the business, improve the quality of key processes, eliminate redundant tasks and make our bank more efficient. You will work with your team to assist in opportunity identification and solution development in order to bring the bank into the future. + +Essential Tasks - In this job, you will: + + +Support ongoing process reviews to identify issues early on and recommend solutions to business challenges +Stay on top of best practices and industry knowledge to identify process improvements that will create a best-in-class client experience +Enter and manipulate data in order to prepare it for manual or automated analysis +Learn how to utilize tools such as Excel and Alteryx to swiftly cleanse data for use in automated tools such as Blue Prism +You will support the optimization team through review and summary of large data sets in order to identify areas of opportunity for the optimization team +You will develop static data visualizations based on your analysis to summarize insights to highlight key findings for inclusion in presentations + + +General Skills and Abilities: + + +Attention to detail and critical thinking skills +Willingness to learn and adapt new processes +Effective written and visual communication skills +Goal oriented +Ability to work in a team environment +Communication and conflict resolution + + +Digital/Technical Skills & Tools - You are: + + +Intermediate skill level with Microsoft Excel +Intermediate skill level with SQL +Intermediate skill level with Python or R +Basic skill level with Tableau or Power BI +Statistical and Database Knowledge + + +Required skill level* + + +Basic - e.g., I can do this in simple situations with close or extensive guidance +Basic to Intermediate +Intermediate - e.g., I can do this in most situations, with occasional guidance +Intermediate to expert +Expert - e.g., I can do this in exceptionally difficult situations with no guidance and I can be a key resource for others + + +Education/Knowledge - You: + + +Bachelors degree in either Computer Science, Statistics, Information Security, Business or Engineering +Nice to have (but not required): +PMP Certification work in project based environments + +Experience (Professional, Academic, Personal) - You: + + +Nice to have (but not required): +Work experience in data analytics + +Additional Information: + +Here’s how frequently the following types of communication and interaction are required to perform the job: + + +Oral communication: Daily +Email communication: Daily +Instant messaging: Daily +Telephone Communication: Daily +Video communication: Daily (Camera encouraged but optional) +Interacting with supervisors: Daily +Interacting with peers: Daily +Interacting with customers: Weekly +Selling or influencing others: Weekly +Training or teaching others: N/A + + +Here’s what can employees find stressful about this job: + + +Meeting short deadlines and being asked to turn around findings within a reduced period of time + + +Here’s what employees tend to find motivating/rewarding about this job: + + +Using data to provide clarity to our supporting partners to help make informed decisions + + +Workplace Support: + + +Specialisterne and our employer partners are committed to providing inclusive onboarding experiences and supporting new employees as they learn on the job +All new hires continue to liaise with a Specialisterne Workplace Support Specialist for their first twelve weeks on the job + + +The Recruitment Process + +To be considered for this position, you will: + + +Complete a job application +Join our talent pool (if you haven’t already) by completing an additional questionnaire and a pre-employment assessment + + +Next Steps + + +Successful applicants will create a job-specific Candidate Profile to answer job specific questions and/or complete a work sample exercise to showcase your skills for this role +Employers use Candidate Profiles to anonymously* shortlist candidates +Candidates and employers will meet to discuss the role in more detail +whenever possible + + +Powered by JazzHR + +uZ7zZ4mWBJ +Show more ","
    + + + + + +
    +
    + Specialisterne is Recruiting!

    Specialisterne connects qualified neurodivergent candidates to employment opportunities in numerous industries and sectors in Canada and the US.

    To be eligible to apply, you must have experienced barriers getting and/ or maintaining meaningful employment and you identify with one of the following:

    • Autism (including Asperger’s and PDD-NOS)
    • Attention Deficit/Hyperactivity Disorder (ADHD) or Attention Deficit Disorder (ADD)
    • Learning Disability (e.g., dyslexia, dyscalculia, dysgraphia)
    • Intellectual Disability
    • Obsessive Compulsive Disorder (OCD)
    • Tourette Syndrome

    Employees hired through Specialisterne will be supported by a Specialisterne Workplace Support Specialist for their first twelve weeks on the job.

    Specialisterne is proud to partner with CIBC on a Neurodiversity Hiring Initiative.

    CIBC is a leading North American financial institution. From Personal, Business and Commercial Banking to Wealth Management and Capital Markets businesses, their 44,000 employees provide a full range of financial products and services to 10 million clients in Canada, the United States and around the world.

    CIBC places a high value on diversity in its workforce, recognizes the business benefits that accrue from responding to challenges from multiple perspectives, and is exercising a leadership position in the hiring of people with disabilities.

    Applications must be submitted in full no later than September 3rd, 2024

    Summary:

    Title: Data Analyst

    Employment Type: Full-Time

    Hours: 8:30am-5pm

    Location: Toronto, ON (Hybrid, in office 2 days per week on Wednesday and Thursday)

    Target Start Date: September 2024

    About this Role:

    You will be joining CIBC’s Optimization and Process Engineering team and be at the centre of an innovative team that develops process improvements to make the bank more efficient. As a Data Analyst you will be involved in supporting the Process Engineering and Optimization team in the identification and implementation of process improvements to enhance client experience, reduce risk and increase profitability. You will use direct client feedback as well as analysis of system data to understand the challenges of the business, improve the quality of key processes, eliminate redundant tasks and make our bank more efficient. You will work with your team to assist in opportunity identification and solution development in order to bring the bank into the future.

    Essential Tasks - In this job, you will:

    • Support ongoing process reviews to identify issues early on and recommend solutions to business challenges
    • Stay on top of best practices and industry knowledge to identify process improvements that will create a best-in-class client experience
    • Enter and manipulate data in order to prepare it for manual or automated analysis
    • Learn how to utilize tools such as Excel and Alteryx to swiftly cleanse data for use in automated tools such as Blue Prism
    • You will support the optimization team through review and summary of large data sets in order to identify areas of opportunity for the optimization team
    • You will develop static data visualizations based on your analysis to summarize insights to highlight key findings for inclusion in presentations

    General Skills and Abilities:

    • Attention to detail and critical thinking skills
    • Willingness to learn and adapt new processes
    • Effective written and visual communication skills
    • Goal oriented
    • Ability to work in a team environment
    • Communication and conflict resolution

    Digital/Technical Skills & Tools - You are:

    • Intermediate skill level with Microsoft Excel
    • Intermediate skill level with SQL
    • Intermediate skill level with Python or R
    • Basic skill level with Tableau or Power BI
    • Statistical and Database Knowledge

    Required skill level*

    • Basic - e.g., I can do this in simple situations with close or extensive guidance
    • Basic to Intermediate
    • Intermediate - e.g., I can do this in most situations, with occasional guidance
    • Intermediate to expert
    • Expert - e.g., I can do this in exceptionally difficult situations with no guidance and I can be a key resource for others

    Education/Knowledge - You:

    • Bachelors degree in either Computer Science, Statistics, Information Security, Business or Engineering
    • Nice to have (but not required):
      • PMP Certification work in project based environments
    Experience (Professional, Academic, Personal) - You:

    • Nice to have (but not required):
      • Work experience in data analytics
    Additional Information:

    Here’s how frequently the following types of communication and interaction are required to perform the job:

    • Oral communication: Daily
    • Email communication: Daily
    • Instant messaging: Daily
    • Telephone Communication: Daily
    • Video communication: Daily (Camera encouraged but optional)
    • Interacting with supervisors: Daily
    • Interacting with peers: Daily
    • Interacting with customers: Weekly
    • Selling or influencing others: Weekly
    • Training or teaching others: N/A

    Here’s what can employees find stressful about this job:

    • Meeting short deadlines and being asked to turn around findings within a reduced period of time

    Here’s what employees tend to find motivating/rewarding about this job:

    • Using data to provide clarity to our supporting partners to help make informed decisions

    Workplace Support:

    • Specialisterne and our employer partners are committed to providing inclusive onboarding experiences and supporting new employees as they learn on the job
    • All new hires continue to liaise with a Specialisterne Workplace Support Specialist for their first twelve weeks on the job

    The Recruitment Process

    To be considered for this position, you will:

    • Complete a job application
    • Join our talent pool (if you haven’t already) by completing an additional questionnaire and a pre-employment assessment

    Next Steps

    • Successful applicants will create a job-specific Candidate Profile to answer job specific questions and/or complete a work sample exercise to showcase your skills for this role
    • Employers use Candidate Profiles to anonymously* shortlist candidates
    • Candidates and employers will meet to discuss the role in more detail
    • whenever possible

    Powered by JazzHR

    uZ7zZ4mWBJ +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +4006868931,https://ca.linkedin.com/jobs/view/manufacturing-data-analyst-at-litens-automotive-group-4006868931?position=5&pageNum=2&refId=GHMNAIVbptXDTczRdI6Wuw%3D%3D&trackingId=2GhSGkCdtB%2B%2F7oDQ6gcQSw%3D%3D&trk=public_jobs_jserp-result_search-card,Manufacturing Data Analyst,Litens Automotive Group,"Woodbridge, Ontario, Canada","Who is Litens? + +We are a diverse group of talented people committed to creating solutions to problems and making the world a better place. We enhance and deliver both mechanical and electrified solutions that bring efficiency and sustainability to new heights. Founded in 1979, Litens has a proud history of being an innovative and highly respected company specializing in powertrain system engineering and component supply. Our history includes numerous achievements, many of which have been recognized through prestigious awards from our customers. + +Experience a fulfilling and supportive environment where ingenuity is rewarded, collaboration is encouraged, and opportunities are readily available. + + + + +Why Join Litens? + +Join the Litens Manufacturing Operations Team as a Manufacturing Improvement Analyst. At Litens, you can make an impact. We’ve purposefully cultivated a supportive and flexible environment that gives everyone the opportunity to succeed. Litens offers a competitive and people-first approach to compensation and benefits, and we are committed to provide balanced employment and advancement opportunities for everyone. + +Our diversity is our source of strength. At Litens, we are committed to equal employment opportunity, and we value and welcome diversity. We respect employees’ rights for a safe and respectful workplace. Accommodations for disabilities in relation to the job selection process are available upon request. + + + + +What will you do? + +Gather and diagnose historical Manufacturing data from various sources related to Process, Materials, Labour, or Overhead and present opportunities for improvement. +Maintain status of labour, NVA, and scrap costs for monthly reconciliation with accounting +Monitor Shoplogix MES data and work with Business Systems/IT/Production to maintain accuracy and integrity +Balance support towards evaluation, research, and analysis between shop floor and office processes +Benchmark current business practices against World Class processes and present opportunities to management for improvement +Monitor Work Center performance to expected standards and communicate any variances to production leadership and Lean Manager +Participate and support CI related activities (kaizen, VSM, Materials PFEP, CI projects) by supplying performance data and hands on practical assistance. +Leverage your expert Excel skills for analysis of Manufacturing Operations data and potential improvement +Provides performance data for bench marking exercises within Litens global facilities. +Manage and maintain annual changes to Litens Production System Assessment (LPSA) +Work with Maintenance and Setup teams and leaders to facilitate administrative machine related Preventative Maintenance improvements + + + + +What will you bring? + +University degree in Business or Engineering +4 years automotive/manufacturing experience +Proven ability to navigate, gather and analyze data through various business systems such as MS D365 Finance and Operations, and others, with a high degree of competence +Advanced skills with Microsoft Excel, intermediate skills with Word and Power Point +Proven ability to diagnose manufacturing data for the purpose of identifying and quantifying business opportunities and propose alternative improvement solutions +Requirement to maintain confidentiality is critical to this role +Experience with Lean Manufacturing principles and concepts +Flexible to work between local plants if necessary + +Show more ","
    + + + + + +
    +
    +

    Who is Litens?

    We are a diverse group of talented people committed to creating solutions to problems and making the world a better place. We enhance and deliver both mechanical and electrified solutions that bring efficiency and sustainability to new heights. Founded in 1979, Litens has a proud history of being an innovative and highly respected company specializing in powertrain system engineering and component supply. Our history includes numerous achievements, many of which have been recognized through prestigious awards from our customers.

    Experience a fulfilling and supportive environment where ingenuity is rewarded, collaboration is encouraged, and opportunities are readily available.


    Why Join Litens?

    Join the Litens Manufacturing Operations Team as a Manufacturing Improvement Analyst. At Litens, you can make an impact. We’ve purposefully cultivated a supportive and flexible environment that gives everyone the opportunity to succeed. Litens offers a competitive and people-first approach to compensation and benefits, and we are committed to provide balanced employment and advancement opportunities for everyone.

    Our diversity is our source of strength. At Litens, we are committed to equal employment opportunity, and we value and welcome diversity. We respect employees’ rights for a safe and respectful workplace. Accommodations for disabilities in relation to the job selection process are available upon request.


    What will you do?

    • Gather and diagnose historical Manufacturing data from various sources related to Process, Materials, Labour, or Overhead and present opportunities for improvement.
    • Maintain status of labour, NVA, and scrap costs for monthly reconciliation with accounting
    • Monitor Shoplogix MES data and work with Business Systems/IT/Production to maintain accuracy and integrity
    • Balance support towards evaluation, research, and analysis between shop floor and office processes
    • Benchmark current business practices against World Class processes and present opportunities to management for improvement
    • Monitor Work Center performance to expected standards and communicate any variances to production leadership and Lean Manager
    • Participate and support CI related activities (kaizen, VSM, Materials PFEP, CI projects) by supplying performance data and hands on practical assistance.
    • Leverage your expert Excel skills for analysis of Manufacturing Operations data and potential improvement
    • Provides performance data for bench marking exercises within Litens global facilities.
    • Manage and maintain annual changes to Litens Production System Assessment (LPSA)
    • Work with Maintenance and Setup teams and leaders to facilitate administrative machine related Preventative Maintenance improvements


    What will you bring?

    • University degree in Business or Engineering
    • 4 years automotive/manufacturing experience
    • Proven ability to navigate, gather and analyze data through various business systems such as MS D365 Finance and Operations, and others, with a high degree of competence
    • Advanced skills with Microsoft Excel, intermediate skills with Word and Power Point
    • Proven ability to diagnose manufacturing data for the purpose of identifying and quantifying business opportunities and propose alternative improvement solutions
    • Requirement to maintain confidentiality is critical to this role
    • Experience with Lean Manufacturing principles and concepts
    • Flexible to work between local plants if necessary

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4002853255,https://ca.linkedin.com/jobs/view/senior-data-analyst-at-akkodis-4002853255?position=7&pageNum=2&refId=GHMNAIVbptXDTczRdI6Wuw%3D%3D&trackingId=MzB0Ke8jFkRaPTkHk7Yx1w%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,Akkodis,"Greater Toronto Area, Canada","Akkodis is seeking a Senior Data Analyst for a contract position with a client in Toronto Downtown ON (Hybrid). Ideally looking for strong experience with Collibra or IGC of data flows within a large enterprise. Experience in data models, data relationships, mapping lineage and business rules using IGC (Information Governance Console) and universal catalogue and developing dashboards in PowerBI and Tableau. would be an added asset preferred would be someone with Canadian Banking/Insurance experience. + + + + +Title - Senior Data Analyst (Collibra or IGC) + +Location- Toronto ON (Hybrid) Hybrid (minimum once a week) + +Contract + + + + +Candidate Must-Have Skills: + +1. 10+ years of working experience as a Data Analyst with a strong understanding of data concepts (metadata, data mapping, data quality, data modeling, data governance). + +2. Hands-on experience working within Data Management and Operations, including proficiency in Data Management Tools (Collibra and IGC preferred) and understanding of data flows within a large enterprise. + +3. Working knowledge of Data Management framework and can trace data elements at origination and as they move between systems including any transformations. + +4. Working knowledge of data models, data relationships, mapping lineage and business rules using IGC (Information Governance Console) and universal catalogue. + +5. Hands-on experience with developing dashboards in PowerBI and Tableau. + + + + +Nice-To-Have Skills: + +Strong business acumen, data analysis, metadata documentation, and data quality controls skills specifically with respect to analyzing business process controls, sourcing, and provisioning of lineage, identifying data quality issues and proposing remediation steps.• Understanding of Banks systems i.e. ALM6, IGC, GC. + +• Demonstrated ability to provide evidence to 2nd and 3rd line. + +• Understanding or experience with Treasury. + +• Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services). + +Show more ","
    + + + + + +
    +
    +

    Akkodis is seeking a Senior Data Analyst for a contract position with a client in Toronto Downtown ON (Hybrid). Ideally looking for strong experience with Collibra or IGC of data flows within a large enterprise. Experience in data models, data relationships, mapping lineage and business rules using IGC (Information Governance Console) and universal catalogue and developing dashboards in PowerBI and Tableau. would be an added asset preferred would be someone with Canadian Banking/Insurance experience.


    Title - Senior Data Analyst (Collibra or IGC)

    Location- Toronto ON (Hybrid) Hybrid (minimum once a week)

    Contract


    Candidate Must-Have Skills:

    1. 10+ years of working experience as a Data Analyst with a strong understanding of data concepts (metadata, data mapping, data quality, data modeling, data governance).

    2. Hands-on experience working within Data Management and Operations, including proficiency in Data Management Tools (Collibra and IGC preferred) and understanding of data flows within a large enterprise.

    3. Working knowledge of Data Management framework and can trace data elements at origination and as they move between systems including any transformations.

    4. Working knowledge of data models, data relationships, mapping lineage and business rules using IGC (Information Governance Console) and universal catalogue.

    5. Hands-on experience with developing dashboards in PowerBI and Tableau.


    Nice-To-Have Skills:

    Strong business acumen, data analysis, metadata documentation, and data quality controls skills specifically with respect to analyzing business process controls, sourcing, and provisioning of lineage, identifying data quality issues and proposing remediation steps.• Understanding of Banks systems i.e. ALM6, IGC, GC.

    • Demonstrated ability to provide evidence to 2nd and 3rd line.

    • Understanding or experience with Treasury.

    • Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services).

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3984492888,https://ca.linkedin.com/jobs/view/data-analyst-45-50-hr-at-direct-it-recruiting-inc-wbe-canada-certified-3984492888?position=9&pageNum=2&refId=GHMNAIVbptXDTczRdI6Wuw%3D%3D&trackingId=HZuLOJcrQgwFOG9hPHEEmw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst 45-50/hr,"Direct IT Recruiting Inc., WBE Canada Certified","Toronto, Ontario, Canada","NOTE: HYBRID work model, 3-days/week in office. Office located in Toronto. + + + + +Type: 1-Year Contract, 8 hours/day, 40 hours/week + +Work Experience: 2+ years Data Analyst, Pension, MS Power BI, AS/400 + +Industry: Pension, Bank + +DESCRIPTION: + +Using strong quantitative, mathematical, and critical thinking skills, to calculate and validate pension administration data, override data issues and update contract data for a variety of employers. +Ability to evaluate information, identify patterns and gaps, and execute a solution within prescribed limits and procedures. +Ability to quickly learn new applications and processes to work on assigned tasks independently. +Ability to work within established timelines and prescribed priorities. +Detail-oriented with a strong focus on quality. +Excels in communication, values clarity and takes responsibility for their work. +Operate in a fast-paced team environment. +AS/400 knowledge and previous experience with Power BI an asset. +Pension knowledge and understanding an asset. +other duties as required. + + + + +TO APPLY: https://directitrecruiting.com/job/data-analyst-hybrid/ + +Show more ","
    + + + + + +
    +
    +

    NOTE: HYBRID work model, 3-days/week in office. Office located in Toronto.


    Type: 1-Year Contract, 8 hours/day, 40 hours/week

    Work Experience: 2+ years Data Analyst, Pension, MS Power BI, AS/400

    Industry: Pension, Bank

    DESCRIPTION:

    • Using strong quantitative, mathematical, and critical thinking skills, to calculate and validate pension administration data, override data issues and update contract data for a variety of employers.
    • Ability to evaluate information, identify patterns and gaps, and execute a solution within prescribed limits and procedures.
    • Ability to quickly learn new applications and processes to work on assigned tasks independently.
    • Ability to work within established timelines and prescribed priorities.
    • Detail-oriented with a strong focus on quality.
    • Excels in communication, values clarity and takes responsibility for their work.
    • Operate in a fast-paced team environment.
    • AS/400 knowledge and previous experience with Power BI an asset.
    • Pension knowledge and understanding an asset.
    • other duties as required.


    TO APPLY: https://directitrecruiting.com/job/data-analyst-hybrid/

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3986485291,https://ca.linkedin.com/jobs/view/business-data-analyst-retro-admin-at-partnerre-3986485291?position=10&pageNum=2&refId=GHMNAIVbptXDTczRdI6Wuw%3D%3D&trackingId=fmcTr%2B33h%2BAYCLiN8BjDrg%3D%3D&trk=public_jobs_jserp-result_search-card,"Business Data Analyst, Retro Admin",PartnerRe,"Toronto, Ontario, Canada","PartnerRe is a leading, privately owned, multi-line global reinsurer with a reputation of financial stability and strength, and a commitment to rebuilding businesses and communities after risk events around the world. + +Our mission is to continue to be a financially stable and predictable business partner, supporting our clients with solutions tailored to their needs, delivering superior returns to our owner, providing rewarding opportunities for our people and making a positive contribution to society. To achieve this, we live by our values of Integrity, Performance, Collaboration, Straightforward Communication and Respect and Care. + +Core to The PartnerRe Experience is our global nature. No matter where you sit in the company, you are part of something bigger. Our teams represent our truly international mindset, forging connections across office locations and all levels of the organization and building a network of mutual success. The result is a day-to-day experience that will allow you to: + +Shape your own career + +Grow in a supportive environment + +Connect with a community of experts + +Make an impact + +View Home - PartnerRe Experience e-book to find out more about what it’s like to work at PartnerRe. + +We are always looking for bright, proactive individuals to join our team! + +Please follow our Careers page for all updates on new positions. We look forward to receiving your application. + +PartnerRe is an equal opportunities employer. + +Please join our company LinkedIn Page for all updates on new positions that are coming live. + + + +Job Description + + + +About this job: + +The Business Data Analyst will be responsible for the analysis, development, and support of all outgoing client data files for processing in PartnerRe systems. Data is produced in various file formats and usually includes transaction, in force, valuation and underwriting files, which have process streams that vary by function. + +Support the PartnerRe monthly retro billing process (including account and data reconciliations, exception handling, account booking). +Update accounting system to track retro premium and commission accounts. Find and correct any discrepancies. +Identify/present variances, account trending, premium calculations/verifications and draw conclusions from the findings. +Ensure monthly retro processing continue to meet stated metrics. Responsibilities include data/plan mapping (including entry and verification of manual data loads) for all clients, investigation and resolution of client issues, and accounting loads/verification. +Create, maintain and test the ETL scripts used for acquiring, transforming and loading into PartnerRe systems/tools. +Analyze and design management reporting as defined by management. Write VBA code, macros, and SQL queries to extract, manipulate, and distribute data. +Document all TAI processes and procedures put into production. +Adhere to all IT controls and security established by IT management. +Ensure the Team Lead is informed of ongoing work activities and any unusual circumstances to ensure quality and timely deliverables. +Assist other teams within North American Life Operations when necessary including, claims, assumed and reporting teams. +Assist Valuation and Pricing with requests for data and data inquiries. Analyzing discrepancies and providing documentation. +Identify opportunities for process improvement, initiate internal reports and create efficiencies to improve data quality. +Liaise with Underwriting for data checking, management reporting, and discussion on results for Retro business (including facultative applications). +Assist with Enhancement Projects including creation of project, testing and preparation for deployment. Defect/bug discovery and acceptance testing for the administration system. Document testing and outcomes and liaise with other departments to ensure tasks and bugs are completed to specifications. +Participation in client visits. +Communicate with clients to facilitate transmission of monthly transaction files and address any questions/clarifications regarding data issues with clients. +Support client audits (desk and on-site audits). + + +Qualifications + + + +About you: + +The successful candidate should be a conscientious individual with exceptional problem-solving skills and a high degree of professional ethics and intellectual curiosity. In addition, the candidate should be a well-rounded individual who possesses the right combination of communication skills, an inquiring mind and creative mindset. + +Qualifications and Experience + +1-4 years of experience in a financial institution with some data management expertise +1-3 years of TAI Experience +Knowledge of insurance industry is a plus +Undergraduate or Graduate degree in business or STEM disciplines +Basic knowledge of audit & quality assurance principles +Interpersonal skills and relationship management +Proficient in SQL, MS Office, Alteryx +Some experience with VBA +Basic French language skills is a plus + + +Additional Information + + + +PartnerRe provides a working environment in which diversity is valued, where all employees feel welcome, respected, and empowered to perform at their best. We invite you to learn more about D&I at PartnerRe. + +Thank you, + +PartnerRe Hiring Team + +Show more ","
    + + + + + +
    +
    +

    PartnerRe is a leading, privately owned, multi-line global reinsurer with a reputation of financial stability and strength, and a commitment to rebuilding businesses and communities after risk events around the world.

    Our mission is to continue to be a financially stable and predictable business partner, supporting our clients with solutions tailored to their needs, delivering superior returns to our owner, providing rewarding opportunities for our people and making a positive contribution to society. To achieve this, we live by our values of Integrity, Performance, Collaboration, Straightforward Communication and Respect and Care.

    Core to The PartnerRe Experience is our global nature. No matter where you sit in the company, you are part of something bigger. Our teams represent our truly international mindset, forging connections across office locations and all levels of the organization and building a network of mutual success. The result is a day-to-day experience that will allow you to:

    Shape your own career

    Grow in a supportive environment

    Connect with a community of experts

    Make an impact

    View Home - PartnerRe Experience e-book to find out more about what it’s like to work at PartnerRe.

    We are always looking for bright, proactive individuals to join our team!

    Please follow our Careers page for all updates on new positions. We look forward to receiving your application.

    PartnerRe is an equal opportunities employer.

    Please join our company LinkedIn Page for all updates on new positions that are coming live.

    Job Description

    About this job:

    The Business Data Analyst will be responsible for the analysis, development, and support of all outgoing client data files for processing in PartnerRe systems. Data is produced in various file formats and usually includes transaction, in force, valuation and underwriting files, which have process streams that vary by function.

    • Support the PartnerRe monthly retro billing process (including account and data reconciliations, exception handling, account booking).
    • Update accounting system to track retro premium and commission accounts. Find and correct any discrepancies.
    • Identify/present variances, account trending, premium calculations/verifications and draw conclusions from the findings.
    • Ensure monthly retro processing continue to meet stated metrics. Responsibilities include data/plan mapping (including entry and verification of manual data loads) for all clients, investigation and resolution of client issues, and accounting loads/verification.
    • Create, maintain and test the ETL scripts used for acquiring, transforming and loading into PartnerRe systems/tools.
    • Analyze and design management reporting as defined by management. Write VBA code, macros, and SQL queries to extract, manipulate, and distribute data.
    • Document all TAI processes and procedures put into production.
    • Adhere to all IT controls and security established by IT management.
    • Ensure the Team Lead is informed of ongoing work activities and any unusual circumstances to ensure quality and timely deliverables.
    • Assist other teams within North American Life Operations when necessary including, claims, assumed and reporting teams.
    • Assist Valuation and Pricing with requests for data and data inquiries. Analyzing discrepancies and providing documentation.
    • Identify opportunities for process improvement, initiate internal reports and create efficiencies to improve data quality.
    • Liaise with Underwriting for data checking, management reporting, and discussion on results for Retro business (including facultative applications).
    • Assist with Enhancement Projects including creation of project, testing and preparation for deployment. Defect/bug discovery and acceptance testing for the administration system. Document testing and outcomes and liaise with other departments to ensure tasks and bugs are completed to specifications.
    • Participation in client visits.
    • Communicate with clients to facilitate transmission of monthly transaction files and address any questions/clarifications regarding data issues with clients.
    • Support client audits (desk and on-site audits).

    Qualifications

    About you:

    The successful candidate should be a conscientious individual with exceptional problem-solving skills and a high degree of professional ethics and intellectual curiosity. In addition, the candidate should be a well-rounded individual who possesses the right combination of communication skills, an inquiring mind and creative mindset.

    Qualifications and Experience

    • 1-4 years of experience in a financial institution with some data management expertise
    • 1-3 years of TAI Experience
    • Knowledge of insurance industry is a plus
    • Undergraduate or Graduate degree in business or STEM disciplines
    • Basic knowledge of audit & quality assurance principles
    • Interpersonal skills and relationship management
    • Proficient in SQL, MS Office, Alteryx
    • Some experience with VBA
    • Basic French language skills is a plus

    Additional Information

    PartnerRe provides a working environment in which diversity is valued, where all employees feel welcome, respected, and empowered to perform at their best. We invite you to learn more about D&I at PartnerRe.

    Thank you,

    PartnerRe Hiring Team

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +4006144798,https://ca.linkedin.com/jobs/view/business-analytics-analyst-at-olg-4006144798?position=1&pageNum=5&refId=F%2BrqenNpO96tfypPCVJZnw%3D%3D&trackingId=sR%2FvbpzDra8%2B5OK6D1CqZQ%3D%3D&trk=public_jobs_jserp-result_search-card,Business Analytics Analyst,OLG,"Toronto, Ontario, Canada","Range + +53,600.00 - 80,400.00 CAD + +Job Description + +Business Analytics Analyst + +GAME ON – OLG needs you + +We’ve said GAME ON, and we mean it – OLG is rapidly transforming its organization to better serve Ontarians by delivering great gaming experiences through our digital, retail lottery, and land-based gaming channels. Over the course of fiscal 2022-23, OLG delivered a record $2.5 billion in net profit to the Province of Ontario. OLG is now expanding our horizons even further, with a new strategic direction, to become a world class gaming entertainment leader with a globally admired digital platform. + +We are ready to take this game to the next level and need a passionate Business Analytics Analyst to be a key resource for the advancement of analytic fact-based decision making within the OLG. Pursuing innovative analytical techniques will be an everyday part of managing sensitive customer, operational, financial, digital and other non-financial data as a strategic resource. This position requires significant capacity to manage multiple competing objectives and a flair for communicating technical, often complex information in understandable terms to significantly different audiences. + +YOUR ROLE IN THE GAME + +Reporting to the Director Business Analytics, you will be empowered to: + + +Support analytical initiatives, projects and deliverables related to Responsible Gambling +Proactively monitor and analyze customer and operational performance within Responsible Gambling and identify insights and areas of opportunity. +Analyze customer behaviour and RG Program performance and assist in developing and evaluating RG programming strategies and tactics, including AB testing performance +Develop analytical plans, reports and dashboards +Execute and maintain regular RG reporting, including weekly and quarterly reports and dashboards +Monitor published customer and operational data and take action/ownership to ensure accuracy, consistency, relevance and timeliness of the information. +Query big data though our Hadoop data lake using SQL and Python +Create support documentation for analysis findings, presentations, reports, templates, etc. +Work with key stakeholders to understand relevant business opportunities and propose analytics-based solutions to the business challenges, often working & collaborating closely with other teams across the organization. +Manage, prioritize, and respond to ad-hoc data requests +Optimize data workflows to automate ETL processes and increase speed of delivery for analytical outputs. +Proactively collaborate across the enterprise with different business units to solve challenging data and research problems. +Communicate with key stakeholders at all levels to translate complex concepts into actionable insights. + + + +Work Experience + +WHAT YOU NEED TO PLAY + + +2 or more years of experience in an analytical role. +Experience working with BI reporting tools and statistical software. +Experience working with Hadoop and related big data technologies. +Experience building, updating and explaining data analysis and advanced analytical techniques. +Experience wrangling, cleaning and automating disparate data sources to power analytical outputs. +Experience in preparing and writing results or research reports + + + +Education: A University degree in business/commerce, statistics, computer science, economics, finance or mathematics. Knowledge of key languages and platforms such as: Power BI, Python, Alteryx, SQL, Hadoop, Hive, Spark, GA 360, Excel, SPSS + +Critical Skills + + +Technical skills: BI dashboard & reporting tools and data management and analytics software +Data translation: ability to identify, apply, and explain analytical and statistical concepts for a business challenges and audience. +Collaboration: comfortable reaching out and collaborating across a large organization +Results driven and an effective self-starter with excellent interpersonal skills who thrives in an environment that demands teamwork. +Communicate effectively to non-technical audience in a succinct and compelling manner. + + + +Strategic Thinker: strong strategic and critical thinker with ability to delve into unique challenges and find creative solutions + +Collaboration & Fun: inclusive and collaborative work style while creating fun and excitement in our work + +Integrity and Trust: do what's right and operate with transparency and openness + +PERKS OF JOINING OUR TEAM + + +Part of a Bigger Picture: socially responsible company that gives back all its profits to the province and people of Ontario +Flexible Work Environment: to help balance both work and life +You Matter: family friendly work practices and hybrid work +Freedom to Innovate: supports new and better ways to be successful +Be your Authentic Self: environment that values diversity as a source of strength +Learning Galore: 24-7 access to robust online learning programs +Public Service Pension Plan: participate in a major defined benefit pension plan sponsored by the Government of Ontario +Variable Pay Program: performance-based incentives to share in our success (Permanent OLG Employees Only) + + + +Learn about OLG – GAME ON! + +OLG’s purpose is to contribute to a better Ontario by delivering great entertainment experiences for our customers. We are a multi-billion-dollar organization with a wide array of business lines including, lottery, land-based casinos, digital lottery and casino, horseracing, and charitable gaming. OLG is amidst a massive transformation focusing on being customer obsessed and bringing our digital business to a whole new level. + +The key to our success is our people. Our culture will be grounded in true, positive partnerships that embrace trust, clarity, and openness in all that we do. We are supporting and empowering employees and teams across the organization through greater accountability, leadership development and growth opportunities. OLG is embracing more flexible work options and family friendly work practices including hybrid work. + +Equity, diversity, and inclusion are essential elements of our culture and cornerstones of the Five Truths that OLGers Live by. At OLG, our employees have the space to be themselves and use their perspectives and skills to benefit the people and the Province of Ontario. + +While we are re-shaping and growing our business, we are unwavering when it comes to living our purpose, and ensuring our business delivers meaningful benefits for the people of Ontario. OLG’s net profits are reinvested back into the province, contributing to the quality of life for Ontarians. + +To learn more about OLG go to our website at www.olg.ca + +We look forward to hearing from you, interested applicants please apply online by September 3, 2024. + +OLG is an equal opportunity employer. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Please contact Human Resources at careers@olg.ca if you require accommodation at any time throughout the hire process. + +We thank you for your interest in this opportunity; however only those individuals selected for an interview will be contacted. + +Personal information is collected by the Ontario Lottery & Gaming Corporation (OLG) and/or its third party service provider(s) under the authority of the Ontario Lottery and Gaming Corporation Act, 1999, SO 1999, c 12, Sch L and the Employment Standards Act, 2000, S.O. 2000, c. 41 (as amended) and will be used for the purpose of determining qualifications for employment with OLG and for recruitment modernization initiatives. The information will be managed in accordance with all applicable laws, OLG’s Protection of Privacy Policy (the Policy) and related policies and procedures. For any questions about this collection, please contact careers@olg.ca, 800-70 Foster Drive, Sault Ste. Marie, ON, P6A 6V2. +Show more ","
    + + + + + +
    +
    + Range

    53,600.00 - 80,400.00 CAD

    Job Description

    Business Analytics Analyst

    GAME ON – OLG needs you

    We’ve said GAME ON, and we mean it – OLG is rapidly transforming its organization to better serve Ontarians by delivering great gaming experiences through our digital, retail lottery, and land-based gaming channels. Over the course of fiscal 2022-23, OLG delivered a record $2.5 billion in net profit to the Province of Ontario. OLG is now expanding our horizons even further, with a new strategic direction, to become a world class gaming entertainment leader with a globally admired digital platform.

    We are ready to take this game to the next level and need a passionate Business Analytics Analyst to be a key resource for the advancement of analytic fact-based decision making within the OLG. Pursuing innovative analytical techniques will be an everyday part of managing sensitive customer, operational, financial, digital and other non-financial data as a strategic resource. This position requires significant capacity to manage multiple competing objectives and a flair for communicating technical, often complex information in understandable terms to significantly different audiences.

    YOUR ROLE IN THE GAME

    Reporting to the Director Business Analytics, you will be empowered to:

    • Support analytical initiatives, projects and deliverables related to Responsible Gambling
    • Proactively monitor and analyze customer and operational performance within Responsible Gambling and identify insights and areas of opportunity.
    • Analyze customer behaviour and RG Program performance and assist in developing and evaluating RG programming strategies and tactics, including AB testing performance
    • Develop analytical plans, reports and dashboards
    • Execute and maintain regular RG reporting, including weekly and quarterly reports and dashboards
    • Monitor published customer and operational data and take action/ownership to ensure accuracy, consistency, relevance and timeliness of the information.
    • Query big data though our Hadoop data lake using SQL and Python
    • Create support documentation for analysis findings, presentations, reports, templates, etc.
    • Work with key stakeholders to understand relevant business opportunities and propose analytics-based solutions to the business challenges, often working & collaborating closely with other teams across the organization.
    • Manage, prioritize, and respond to ad-hoc data requests
    • Optimize data workflows to automate ETL processes and increase speed of delivery for analytical outputs.
    • Proactively collaborate across the enterprise with different business units to solve challenging data and research problems.
    • Communicate with key stakeholders at all levels to translate complex concepts into actionable insights.


    Work Experience

    WHAT YOU NEED TO PLAY

    • 2 or more years of experience in an analytical role.
    • Experience working with BI reporting tools and statistical software.
    • Experience working with Hadoop and related big data technologies.
    • Experience building, updating and explaining data analysis and advanced analytical techniques.
    • Experience wrangling, cleaning and automating disparate data sources to power analytical outputs.
    • Experience in preparing and writing results or research reports


    Education: A University degree in business/commerce, statistics, computer science, economics, finance or mathematics. Knowledge of key languages and platforms such as: Power BI, Python, Alteryx, SQL, Hadoop, Hive, Spark, GA 360, Excel, SPSS

    Critical Skills

    • Technical skills: BI dashboard & reporting tools and data management and analytics software
    • Data translation: ability to identify, apply, and explain analytical and statistical concepts for a business challenges and audience.
    • Collaboration: comfortable reaching out and collaborating across a large organization
    • Results driven and an effective self-starter with excellent interpersonal skills who thrives in an environment that demands teamwork.
    • Communicate effectively to non-technical audience in a succinct and compelling manner.


    Strategic Thinker: strong strategic and critical thinker with ability to delve into unique challenges and find creative solutions

    Collaboration & Fun: inclusive and collaborative work style while creating fun and excitement in our work

    Integrity and Trust: do what's right and operate with transparency and openness

    PERKS OF JOINING OUR TEAM

    • Part of a Bigger Picture: socially responsible company that gives back all its profits to the province and people of Ontario
    • Flexible Work Environment: to help balance both work and life
    • You Matter: family friendly work practices and hybrid work
    • Freedom to Innovate: supports new and better ways to be successful
    • Be your Authentic Self: environment that values diversity as a source of strength
    • Learning Galore: 24-7 access to robust online learning programs
    • Public Service Pension Plan: participate in a major defined benefit pension plan sponsored by the Government of Ontario
    • Variable Pay Program: performance-based incentives to share in our success (Permanent OLG Employees Only)


    Learn about OLG – GAME ON!

    OLG’s purpose is to contribute to a better Ontario by delivering great entertainment experiences for our customers. We are a multi-billion-dollar organization with a wide array of business lines including, lottery, land-based casinos, digital lottery and casino, horseracing, and charitable gaming. OLG is amidst a massive transformation focusing on being customer obsessed and bringing our digital business to a whole new level.

    The key to our success is our people. Our culture will be grounded in true, positive partnerships that embrace trust, clarity, and openness in all that we do. We are supporting and empowering employees and teams across the organization through greater accountability, leadership development and growth opportunities. OLG is embracing more flexible work options and family friendly work practices including hybrid work.

    Equity, diversity, and inclusion are essential elements of our culture and cornerstones of the Five Truths that OLGers Live by. At OLG, our employees have the space to be themselves and use their perspectives and skills to benefit the people and the Province of Ontario.

    While we are re-shaping and growing our business, we are unwavering when it comes to living our purpose, and ensuring our business delivers meaningful benefits for the people of Ontario. OLG’s net profits are reinvested back into the province, contributing to the quality of life for Ontarians.

    To learn more about OLG go to our website at www.olg.ca

    We look forward to hearing from you, interested applicants please apply online by September 3, 2024.

    OLG is an equal opportunity employer. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Please contact Human Resources at careers@olg.ca if you require accommodation at any time throughout the hire process.

    We thank you for your interest in this opportunity; however only those individuals selected for an interview will be contacted.

    Personal information is collected by the Ontario Lottery & Gaming Corporation (OLG) and/or its third party service provider(s) under the authority of the Ontario Lottery and Gaming Corporation Act, 1999, SO 1999, c 12, Sch L and the Employment Standards Act, 2000, S.O. 2000, c. 41 (as amended) and will be used for the purpose of determining qualifications for employment with OLG and for recruitment modernization initiatives. The information will be managed in accordance with all applicable laws, OLG’s Protection of Privacy Policy (the Policy) and related policies and procedures. For any questions about this collection, please contact careers@olg.ca, 800-70 Foster Drive, Sault Ste. Marie, ON, P6A 6V2. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4006116776,https://ca.linkedin.com/jobs/view/sql-developer-at-neilson-financial-services-4006116776?position=3&pageNum=5&refId=F%2BrqenNpO96tfypPCVJZnw%3D%3D&trackingId=gKkrTwBvYVLHeft8EawuAg%3D%3D&trk=public_jobs_jserp-result_search-card,SQL Developer,Neilson Financial Services,"Toronto, Ontario, Canada","Company Description + +At Neilson, we’re dedicated to helping families secure financial protection for their loved ones with a range of life insurance options. + +Neilson is a leading provider of innovative, simple and great-value direct life insurance products. + +We have evolved from our origins in the UK, where the business was launched in 2012, to become an award-winning international operation and leader in the global life insurance market. Today, we have offices in the USA, Canada, Ireland, and Australia. + +Job Description + +We are seeking a highly skilled and motivated Senior SQL Developer to join our Data Engineering team. + +This Team Is Responsible For + + +Designing, developing, and implementing database solutions for the organization’s various sales, CRM, and lead management applications and systems. +Maintaining the code base through Database Lifecycle Management. +Developing and maintaining ETL solutions and data pipelines. +Ensuring smooth and consistent day-to-day operations of the database environment. +Troubleshooting and resolving database issues. + + +As a member of the team, the ideal candidate will be expected to: + + +Develop and maintain tables, stored procedures, functions, and other objects. +Liaise with business partners and key stakeholders to understand requirements and design effective solutions. +Have a strong understanding of Microsoft SQL products and the Azure cloud platform. +Possess excellent troubleshooting skills.Have excellent communication skills. + + +Key Responsibilities + + +Production Code Development: +Write and maintain production-level code to support lead management and CRM applications and systems, ensuring scalability, performance, and reliability. +Collaborate with software developers to integrate SQL components seamlessly into applications. +Data Extraction and Transformation: +Design and develop data pipelines for efficient data extraction and transformation. +Collaborate with cross-functional teams to understand data requirements and ensure accurate and timely delivery of BI solutions. +Performance Tuning and Support: +Monitor and optimize database performance, identifying and resolving bottlenecks and inefficiencies. +Conduct regular reviews of SQL code and queries for performance improvements. + + +Qualifications + + +Bachelor's degree in Computer Science, Information Systems, or a related field. +Proven experience as a SQL Analyst / Developer with a focus on BI and production-level code. +Strong proficiency in SQL, T-SQL, and experience working with relational databases (e.g. SQL Server). +Knowledge of software development best practices and the ability to write production-level performant SQL code. +Excellent problem-solving skills and attention to detail. +Strong communication and collaboration skills. + + +Preferred Skills + + +Knowledge of data modeling and database design principles. +Familiarity with cloud platforms (e.g., Azure, AWS). +Programming skills in languages such as C# or Python. +Experience with version control systems (e.g., Git). + + +If you are a self-motivated individual with a passion for data and code, and you thrive in a dynamic and collaborative environment, we invite you to apply for this exciting opportunity to contribute to our Business Intelligence and development initiatives. + +Additional Information + +If you are passionate about making a difference, you thrive in a fast paced and entrepreneurial environment and you want to be a part of a high performing team, we would love to hear from you! + +Accessibility For Job Applicants + +We strive to make our job application process accessible to all individuals, including those with disabilities. If you require accommodation at any stage of the application, interview, or selection process, please contact our Human Resources department. Our team will work with you to provide suitable accommodations to ensure your participation. + +Equal Opportunity Employer + +Neilson Financial Services is an equal opportunity employer. We welcome and encourage applications from candidates of all backgrounds and abilities. Our commitment to diversity and inclusion is fundamental to our company culture. +Show more ","
    + + + + + +
    +
    + Company Description

    At Neilson, we’re dedicated to helping families secure financial protection for their loved ones with a range of life insurance options.

    Neilson is a leading provider of innovative, simple and great-value direct life insurance products.

    We have evolved from our origins in the UK, where the business was launched in 2012, to become an award-winning international operation and leader in the global life insurance market. Today, we have offices in the USA, Canada, Ireland, and Australia.

    Job Description

    We are seeking a highly skilled and motivated Senior SQL Developer to join our Data Engineering team.

    This Team Is Responsible For

    • Designing, developing, and implementing database solutions for the organization’s various sales, CRM, and lead management applications and systems.
    • Maintaining the code base through Database Lifecycle Management.
    • Developing and maintaining ETL solutions and data pipelines.
    • Ensuring smooth and consistent day-to-day operations of the database environment.
    • Troubleshooting and resolving database issues.

    As a member of the team, the ideal candidate will be expected to:

    • Develop and maintain tables, stored procedures, functions, and other objects.
    • Liaise with business partners and key stakeholders to understand requirements and design effective solutions.
    • Have a strong understanding of Microsoft SQL products and the Azure cloud platform.
    • Possess excellent troubleshooting skills.Have excellent communication skills.

    Key Responsibilities

    • Production Code Development:
    • Write and maintain production-level code to support lead management and CRM applications and systems, ensuring scalability, performance, and reliability.
    • Collaborate with software developers to integrate SQL components seamlessly into applications.
    • Data Extraction and Transformation:
    • Design and develop data pipelines for efficient data extraction and transformation.
    • Collaborate with cross-functional teams to understand data requirements and ensure accurate and timely delivery of BI solutions.
    • Performance Tuning and Support:
    • Monitor and optimize database performance, identifying and resolving bottlenecks and inefficiencies.
    • Conduct regular reviews of SQL code and queries for performance improvements.

    Qualifications

    • Bachelor's degree in Computer Science, Information Systems, or a related field.
    • Proven experience as a SQL Analyst / Developer with a focus on BI and production-level code.
    • Strong proficiency in SQL, T-SQL, and experience working with relational databases (e.g. SQL Server).
    • Knowledge of software development best practices and the ability to write production-level performant SQL code.
    • Excellent problem-solving skills and attention to detail.
    • Strong communication and collaboration skills.

    Preferred Skills

    • Knowledge of data modeling and database design principles.
    • Familiarity with cloud platforms (e.g., Azure, AWS).
    • Programming skills in languages such as C# or Python.
    • Experience with version control systems (e.g., Git).

    If you are a self-motivated individual with a passion for data and code, and you thrive in a dynamic and collaborative environment, we invite you to apply for this exciting opportunity to contribute to our Business Intelligence and development initiatives.

    Additional Information

    If you are passionate about making a difference, you thrive in a fast paced and entrepreneurial environment and you want to be a part of a high performing team, we would love to hear from you!

    Accessibility For Job Applicants

    We strive to make our job application process accessible to all individuals, including those with disabilities. If you require accommodation at any stage of the application, interview, or selection process, please contact our Human Resources department. Our team will work with you to provide suitable accommodations to ensure your participation.

    Equal Opportunity Employer

    Neilson Financial Services is an equal opportunity employer. We welcome and encourage applications from candidates of all backgrounds and abilities. Our commitment to diversity and inclusion is fundamental to our company culture. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3982882782,https://ca.linkedin.com/jobs/view/data-analysis-and-database-specialist-at-covenant-house-toronto-3982882782?position=6&pageNum=5&refId=F%2BrqenNpO96tfypPCVJZnw%3D%3D&trackingId=toRrDtrGRG1sTJcNRYtSGQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analysis and Database Specialist,Covenant House Toronto,"Toronto, Ontario, Canada","Data, Research and Evaluation + +Full Time, Permanent + +Hybrid + +Level 7 + +Covenant House helps youth ignite their potential and reclaim their lives. As Canada’s largest agency serving youth who are homeless, trafficked or at risk, we offer the widest range of services to hundreds of young people every day. + +More than a place to stay, we provide life-changing care with unconditional love and respect. We meet youth’s immediate needs and then we work together to achieve their future goals. We offer 24/7 crisis shelter transitional housing options on-site and, in the community, health and well-being support, training and skill development, and ongoing care once youth move into the community. + +For over 40 years, Covenant House has been dedicated to its mission of serving youth on the street and to protect and safeguard all youth with absolute respect and unconditional love. Since 1982, Covenant House has supported more than 100,000 young people. + +Overview + + +Reporting to the Efforts to Outcomes (ETO) Supervisor, the successful applicant will be responsible for: +Creating and generating reports using ETO client information system +Filter and “clean” data by reviewing extracts, reports, and performance indicators to identify and resolve problems, including data quality, integrity issues following data governance policies +Coordinates and prepares comprehensive data analysis and statistical reports for research, evaluation, policy, program and service activities +Using statistical analysis software to lead the development and delivery of functional analytics to support evidence-based decision-making. +Working with the department leads, Program Directors, and other relevant staff, ensure that the agency regularly reviews efforts towards outputs/outcomes (e.g., values, number of efforts, times spent) +Review all custom and standard reports for accuracy and timeliness so that the database maintains real time information about program participants and ensures that the agency has a process in place for a regular review conducted by appropriate staff (e.g., program manager) +Working with department leads to develop and maintain Policies, Standards and Controls about the safety of data in regard to regulatory compliance +Building advanced data visualizations (Tableau reports, infographics, scorecards, dashboards) that will support the dissemination of administrative data including outcomes and key performance indicators +Providing well-structured reports and documents to convey analysis and insights that are clear, concise and reader-friendly +Managing critical timelines and ensuring that deadlines are met +Performing other duties as required + + +Qualifications + + +The successful candidate will be a team player who has excellent communication and problem-solving skills. Their analytical ability and attention to detail coupled with their ability to prioritize and manage competing deadlines is a must. +Familiarity with ETO (Efforts to Outcomes) or another case management database is an asset. +Bachelor’s Degree, preferably within Computer Science, Statistics or approved equivalent combination of education and experience, with minimum two year’s experience in data analysis and management- including database design and advanced report writing using Structured Query Language (SQL) and other relational databases. +Experience with ETO, Tableau, and/or Qualtrics considered an asset +Experience with statistical software (e.g. R, SPSS) +Fluency in a programming language (e.g. Python) and or other programming languages would be an asset. +Proven passion for the data quality discipline +Strong interpersonal skills +Extremely meticulous in approach to work and attention to detail +Ability to work independently and within a team setting +Proven ability to meet established deadlines +Ability to quickly learn new tasks +Strong analytical and problem-solving skills +Ability to multi-task and work on multiple projects simultaneously + + +Interested candidates should submit their cover letter and resume to this posting. Only those candidates selected for an interview will be contacted. No phone calls please. + +At Covenant House Toronto we believe in a workplace culture of inclusion that is welcoming, respectful and safe for all staff. It is critical to Covenant House Toronto success to eliminate barriers and promote the inclusion of equity groups. Equity groups have been, and continue to be, underrepresented and marginalized in the workforce, leadership roles, and in some specific occupations. Equity groups include but may not be limited to Indigenous persons, racialized people, gender diverse people, 2SLGBTQIA+ people, and people with disabilities. + +In accordance with the Ontario Human Rights Code, Accessibility for Ontarians with Disabilities Act and Covenant House Policy on Accommodation, a request for accommodation will be accepted as part of the Covenant House recruitment process. + +Please visit our careers page to see more job opportunities. +Show more ","
    + + + + + +
    +
    + Data, Research and Evaluation

    Full Time, Permanent

    Hybrid

    Level 7

    Covenant House helps youth ignite their potential and reclaim their lives. As Canada’s largest agency serving youth who are homeless, trafficked or at risk, we offer the widest range of services to hundreds of young people every day.

    More than a place to stay, we provide life-changing care with unconditional love and respect. We meet youth’s immediate needs and then we work together to achieve their future goals. We offer 24/7 crisis shelter transitional housing options on-site and, in the community, health and well-being support, training and skill development, and ongoing care once youth move into the community.

    For over 40 years, Covenant House has been dedicated to its mission of serving youth on the street and to protect and safeguard all youth with absolute respect and unconditional love. Since 1982, Covenant House has supported more than 100,000 young people.

    Overview

    • Reporting to the Efforts to Outcomes (ETO) Supervisor, the successful applicant will be responsible for:
    • Creating and generating reports using ETO client information system
    • Filter and “clean” data by reviewing extracts, reports, and performance indicators to identify and resolve problems, including data quality, integrity issues following data governance policies
    • Coordinates and prepares comprehensive data analysis and statistical reports for research, evaluation, policy, program and service activities
    • Using statistical analysis software to lead the development and delivery of functional analytics to support evidence-based decision-making.
    • Working with the department leads, Program Directors, and other relevant staff, ensure that the agency regularly reviews efforts towards outputs/outcomes (e.g., values, number of efforts, times spent)
    • Review all custom and standard reports for accuracy and timeliness so that the database maintains real time information about program participants and ensures that the agency has a process in place for a regular review conducted by appropriate staff (e.g., program manager)
    • Working with department leads to develop and maintain Policies, Standards and Controls about the safety of data in regard to regulatory compliance
    • Building advanced data visualizations (Tableau reports, infographics, scorecards, dashboards) that will support the dissemination of administrative data including outcomes and key performance indicators
    • Providing well-structured reports and documents to convey analysis and insights that are clear, concise and reader-friendly
    • Managing critical timelines and ensuring that deadlines are met
    • Performing other duties as required

    Qualifications

    • The successful candidate will be a team player who has excellent communication and problem-solving skills. Their analytical ability and attention to detail coupled with their ability to prioritize and manage competing deadlines is a must.
    • Familiarity with ETO (Efforts to Outcomes) or another case management database is an asset.
    • Bachelor’s Degree, preferably within Computer Science, Statistics or approved equivalent combination of education and experience, with minimum two year’s experience in data analysis and management- including database design and advanced report writing using Structured Query Language (SQL) and other relational databases.
    • Experience with ETO, Tableau, and/or Qualtrics considered an asset
    • Experience with statistical software (e.g. R, SPSS)
    • Fluency in a programming language (e.g. Python) and or other programming languages would be an asset.
    • Proven passion for the data quality discipline
    • Strong interpersonal skills
    • Extremely meticulous in approach to work and attention to detail
    • Ability to work independently and within a team setting
    • Proven ability to meet established deadlines
    • Ability to quickly learn new tasks
    • Strong analytical and problem-solving skills
    • Ability to multi-task and work on multiple projects simultaneously

    Interested candidates should submit their cover letter and resume to this posting. Only those candidates selected for an interview will be contacted. No phone calls please.

    At Covenant House Toronto we believe in a workplace culture of inclusion that is welcoming, respectful and safe for all staff. It is critical to Covenant House Toronto success to eliminate barriers and promote the inclusion of equity groups. Equity groups have been, and continue to be, underrepresented and marginalized in the workforce, leadership roles, and in some specific occupations. Equity groups include but may not be limited to Indigenous persons, racialized people, gender diverse people, 2SLGBTQIA+ people, and people with disabilities.

    In accordance with the Ontario Human Rights Code, Accessibility for Ontarians with Disabilities Act and Covenant House Policy on Accommodation, a request for accommodation will be accepted as part of the Covenant House recruitment process.

    Please visit our careers page to see more job opportunities. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +4007929937,https://ca.linkedin.com/jobs/view/business-data-analyst-6-month-contract-at-hoopp-healthcare-of-ontario-pension-plan-4007929937?position=8&pageNum=5&refId=F%2BrqenNpO96tfypPCVJZnw%3D%3D&trackingId=Og37zFW5vGK2wVisoAV4OQ%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst (6-month Contract),HOOPP (Healthcare of Ontario Pension Plan),"Toronto, Ontario, Canada","Why you’ll love working here: + + +high-performance, people-focused culture +our commitment that equity, diversity, and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic selves +learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees’ career growth +membership in HOOPP’s world class defined benefit pension plan, which can serve as an important part of your retirement security +competitive, 100% company-paid extended health and dental benefits for permanent employees, including coverage supporting our team's diversity and mental health (e.g., gender affirmation, fertility and drug treatment, psychological support benefits of $2,500 per year, and newly extended maternity/parental leave top of 26 weeks) +optional post-retirement health and dental benefits subsidized at 50% +yoga classes, meditation workshops, nutritional consultations, and wellness seminars +access to an annual wellness reimbursement program for health and wellness-related expenses for permanent and temporary employees +the opportunity to make a difference and help take care of those who care for us, by providing a financially secure retirement for Ontario healthcare workers + + +Job Summary + +Reporting to the Senior Manager of Investment Data Management, the Business Data Analyst will support mission critical functions of data operations and data governance ensuring the timely availability of accurate investment data for HOOPP. + +Data operations ensure investment applications have complete information for business users daily. This includes but is not limited to monitoring the daily cycle of events, ensure data integrity and availability within investment applications, data reconciliation, pricing integrity, security master, integrity of reference and market data and straight-through trade capture. The Business Data Analyst will assist in the design and implementation of data quality best practices. Data governance practices ensure the integrity, usability and transparency of investment data. Business Data Analyst will be involved in maintaining the investment data dictionary, reviewing data governance processes and practices keeping up to date on industry standards in the data governance space. The Business Data Analyst will assist in the design and implementation of the governance process and its systems. + +The position requires strong problem solving and analytical skills coupled with investment operations knowledge, data loading and scheduling, managing reference and market data, and systems testing experience. The candidate should be SQL literate and comfortable navigating databases. This position requires the individual to be available at 7:00 a.m. to support the data management functions. Occasionally when supporting other team members, the individual may be required to stay as late as 6:00 p.m. or until all daily tasks are completed. There may also be the occasional weekend work for system testing or implementations. + +What you will do: + + +Ensure completeness of overnight data jobs. Work with IT in repairing failed jobs, re-running processes as required and optimizing scheduling. +Resolve data integrity issues on a timely basis, escalate as needed and contribute to finding resolutions and for improving controls and efficiency. +Review data integrity checks to assess potential data issues resident in the various investment applications. Create, develop, implement and test data quality checks, processes and procedures to manage data, content quality and reconciliation requirements. +For Production systems (SimCorp Dimension, SAP HANA, Eagle PACE, Bloomberg) the Business Data Analyst is responsible for security master, reference data, maintaining tables and data translations. The controls must be executed for static data, pricing, market data and automated trade capture on an ongoing basis. +Where custom application function or report requirement is identified, the Business Data Analyst is responsible to work with IT by assisting in the preparation of specifications, providing test cases, testing finished product and signing off. +Document operational processes, data flows, test cases and results. +Develop effective working relationships with HOOPP’s investment management teams, operational teams, custodians, auditors, system vendors and others within the industry. +Develop a detailed understanding of HOOPP’s investment business and the various systems and operation processes used to support it; to respond quickly and accurately to questions and problems that arise in the availability, integrity or completeness of Investment Data. +Primary back up and support for Senior Analysts as required. +The Business Data Analyst will work with the IT Specialists to ensure that the security reference manager, market data, pricing data feeds meet or exceed HOOPP Data Standards. +Actively monitor and execute data governance controls, this includes the ongoing maintenance of HOOPP’s investment data dictionary. Contribute to the development of best practices and data governance standards. +Proactively validates data using exception handling tools and procedures. Contributes to the development of the Data Quality checks and identify opportunities to leverage new business tools to meet business requirements. +Work cross functionally as a contributing team player to ensure Investment applications have complete information for business users daily. +Other duties as assigned. + + +What you bring: + + +Knowledge of investment management principles and practices with exposure to marketable securities, derivatives, private placements, infrastructure and real estate. +Highly analytical with strong consulting and problem-solving skills. +Experience working with databases and advanced knowledge of report development concepts. +Full competency in MS SQL Server Tools, SQL language and/or Transact-SQL language. +Competency in Python a definite asset. +Proactive and results oriented with good time management skills and the ability to work well under pressure and focus on multiple tasks concurrently. +Post secondary training in finance or equivalent experience. Completion of Canadian Securities Course. Enrolment or completion of relation professional training (e.g. CFA) – is not required though may be an asset. +Minimum experience: 5 years in investment and financial systems administration, implementation and reporting. +A team player with excellent interpersonal and communication (written and verbal) skills are essential to deal with all levels of staff and outside contacts. +Comprehensive understanding of middle and back-office processes and technical applications. +Competence with database report writers and Windows based software with a strong proficiency in Excel. +An understanding of the accounting and performance reporting requirements will be an asset to this position. +Develop a strong proficiency with systems being utilized for the Investment business (SAP HANA, Eagle PACE, SimCorp Dimension, Bloomberg, SS&CNet) +This position requires an above average, technically inclined individual who is a self-starter and highly motivated to manage financial data/systems in an integrated environment. +Experience with Business Intelligence software and ETL tools a definite asset. +Show more ","
    + + + + + +
    +
    + Why you’ll love working here:

    • high-performance, people-focused culture
    • our commitment that equity, diversity, and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic selves
    • learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees’ career growth
    • membership in HOOPP’s world class defined benefit pension plan, which can serve as an important part of your retirement security
    • competitive, 100% company-paid extended health and dental benefits for permanent employees, including coverage supporting our team's diversity and mental health (e.g., gender affirmation, fertility and drug treatment, psychological support benefits of $2,500 per year, and newly extended maternity/parental leave top of 26 weeks)
    • optional post-retirement health and dental benefits subsidized at 50%
    • yoga classes, meditation workshops, nutritional consultations, and wellness seminars
    • access to an annual wellness reimbursement program for health and wellness-related expenses for permanent and temporary employees
    • the opportunity to make a difference and help take care of those who care for us, by providing a financially secure retirement for Ontario healthcare workers

    Job Summary

    Reporting to the Senior Manager of Investment Data Management, the Business Data Analyst will support mission critical functions of data operations and data governance ensuring the timely availability of accurate investment data for HOOPP.

    Data operations ensure investment applications have complete information for business users daily. This includes but is not limited to monitoring the daily cycle of events, ensure data integrity and availability within investment applications, data reconciliation, pricing integrity, security master, integrity of reference and market data and straight-through trade capture. The Business Data Analyst will assist in the design and implementation of data quality best practices. Data governance practices ensure the integrity, usability and transparency of investment data. Business Data Analyst will be involved in maintaining the investment data dictionary, reviewing data governance processes and practices keeping up to date on industry standards in the data governance space. The Business Data Analyst will assist in the design and implementation of the governance process and its systems.

    The position requires strong problem solving and analytical skills coupled with investment operations knowledge, data loading and scheduling, managing reference and market data, and systems testing experience. The candidate should be SQL literate and comfortable navigating databases. This position requires the individual to be available at 7:00 a.m. to support the data management functions. Occasionally when supporting other team members, the individual may be required to stay as late as 6:00 p.m. or until all daily tasks are completed. There may also be the occasional weekend work for system testing or implementations.

    What you will do:

    • Ensure completeness of overnight data jobs. Work with IT in repairing failed jobs, re-running processes as required and optimizing scheduling.
    • Resolve data integrity issues on a timely basis, escalate as needed and contribute to finding resolutions and for improving controls and efficiency.
    • Review data integrity checks to assess potential data issues resident in the various investment applications. Create, develop, implement and test data quality checks, processes and procedures to manage data, content quality and reconciliation requirements.
    • For Production systems (SimCorp Dimension, SAP HANA, Eagle PACE, Bloomberg) the Business Data Analyst is responsible for security master, reference data, maintaining tables and data translations. The controls must be executed for static data, pricing, market data and automated trade capture on an ongoing basis.
    • Where custom application function or report requirement is identified, the Business Data Analyst is responsible to work with IT by assisting in the preparation of specifications, providing test cases, testing finished product and signing off.
    • Document operational processes, data flows, test cases and results.
    • Develop effective working relationships with HOOPP’s investment management teams, operational teams, custodians, auditors, system vendors and others within the industry.
    • Develop a detailed understanding of HOOPP’s investment business and the various systems and operation processes used to support it; to respond quickly and accurately to questions and problems that arise in the availability, integrity or completeness of Investment Data.
    • Primary back up and support for Senior Analysts as required.
    • The Business Data Analyst will work with the IT Specialists to ensure that the security reference manager, market data, pricing data feeds meet or exceed HOOPP Data Standards.
    • Actively monitor and execute data governance controls, this includes the ongoing maintenance of HOOPP’s investment data dictionary. Contribute to the development of best practices and data governance standards.
    • Proactively validates data using exception handling tools and procedures. Contributes to the development of the Data Quality checks and identify opportunities to leverage new business tools to meet business requirements.
    • Work cross functionally as a contributing team player to ensure Investment applications have complete information for business users daily.
    • Other duties as assigned.

    What you bring:

    • Knowledge of investment management principles and practices with exposure to marketable securities, derivatives, private placements, infrastructure and real estate.
    • Highly analytical with strong consulting and problem-solving skills.
    • Experience working with databases and advanced knowledge of report development concepts.
    • Full competency in MS SQL Server Tools, SQL language and/or Transact-SQL language.
    • Competency in Python a definite asset.
    • Proactive and results oriented with good time management skills and the ability to work well under pressure and focus on multiple tasks concurrently.
    • Post secondary training in finance or equivalent experience. Completion of Canadian Securities Course. Enrolment or completion of relation professional training (e.g. CFA) – is not required though may be an asset.
    • Minimum experience: 5 years in investment and financial systems administration, implementation and reporting.
    • A team player with excellent interpersonal and communication (written and verbal) skills are essential to deal with all levels of staff and outside contacts.
    • Comprehensive understanding of middle and back-office processes and technical applications.
    • Competence with database report writers and Windows based software with a strong proficiency in Excel.
    • An understanding of the accounting and performance reporting requirements will be an asset to this position.
    • Develop a strong proficiency with systems being utilized for the Investment business (SAP HANA, Eagle PACE, SimCorp Dimension, Bloomberg, SS&CNet)
    • This position requires an above average, technically inclined individual who is a self-starter and highly motivated to manage financial data/systems in an integrated environment.
    • Experience with Business Intelligence software and ETL tools a definite asset.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4002456690,https://ca.linkedin.com/jobs/view/data-governance-analyst-at-j-m-group-4002456690?position=9&pageNum=5&refId=F%2BrqenNpO96tfypPCVJZnw%3D%3D&trackingId=nMFNlB%2BeT4vjK0e9n0N9JA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Governance Analyst,J&M Group,"Toronto, Ontario, Canada","The Data Governance Analyst is part of the Enterprise Data Governance Team and plays an essential role the advancement of our data strategy and maintenance of existing Data Governance Practices. This role provides the opportunity to balance enablement of our business with the governance of our data assets to ensure the trust and protection of the data in our care. + +The successful candidate will join a skilled team of like-minded colleagues who are naturally curious, collaborative and strive to make sense of our data, protect it and work to enable the business to advance their data roadmaps. + +What You Will Do + + +Support the development, maintenance, and enhancement our data governance policy, standards, processes, and practices. +Support the implementation and adoption of data governance across the enterprise +Work with technology and business users to ensure our data is understood and reflected in our Data Inventory to enable people to find what they need when they need it. +Support requirement definition and analysis as we build out our Connected Data Platform, connecting people to the data they need. +Identify opportunities to improve effectiveness of the data governance organization with focus on operational efficiency and collaboration +Provide front line support to our data community and translate complex topics into simple and effective statements that have impact +Support strategic decisions, issues, risks, and milestones related to data initiatives + + +What You Will Bring + + +1-4 years of applied data governance experience +Strong organizational Skills +Expert in Microsoft products (PowerPoint and Excel) +Excellent communication and presentation skills +Agile, practical, customer service-oriented mindset (doesn't over complicate processes) +Passionately curious and excited to learn new things +Ability to work in a fast paced highly focused team +Experience in financial services and insurance is an asset +Data certification in Data Management or Data Governance an asset (e.g. DGSP or CDMP) +Working knowledge of data governance and management technology an asset (e.g. Collibra, Microsoft Purview) +Show more ","
    + + + + + +
    +
    + The Data Governance Analyst is part of the Enterprise Data Governance Team and plays an essential role the advancement of our data strategy and maintenance of existing Data Governance Practices. This role provides the opportunity to balance enablement of our business with the governance of our data assets to ensure the trust and protection of the data in our care.

    The successful candidate will join a skilled team of like-minded colleagues who are naturally curious, collaborative and strive to make sense of our data, protect it and work to enable the business to advance their data roadmaps.

    What You Will Do

    • Support the development, maintenance, and enhancement our data governance policy, standards, processes, and practices.
    • Support the implementation and adoption of data governance across the enterprise
    • Work with technology and business users to ensure our data is understood and reflected in our Data Inventory to enable people to find what they need when they need it.
    • Support requirement definition and analysis as we build out our Connected Data Platform, connecting people to the data they need.
    • Identify opportunities to improve effectiveness of the data governance organization with focus on operational efficiency and collaboration
    • Provide front line support to our data community and translate complex topics into simple and effective statements that have impact
    • Support strategic decisions, issues, risks, and milestones related to data initiatives

    What You Will Bring

    • 1-4 years of applied data governance experience
    • Strong organizational Skills
    • Expert in Microsoft products (PowerPoint and Excel)
    • Excellent communication and presentation skills
    • Agile, practical, customer service-oriented mindset (doesn't over complicate processes)
    • Passionately curious and excited to learn new things
    • Ability to work in a fast paced highly focused team
    • Experience in financial services and insurance is an asset
    • Data certification in Data Management or Data Governance an asset (e.g. DGSP or CDMP)
    • Working knowledge of data governance and management technology an asset (e.g. Collibra, Microsoft Purview)
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3972636721,https://ca.linkedin.com/jobs/view/business-system-analyst-at-ltimindtree-3972636721?position=10&pageNum=5&refId=F%2BrqenNpO96tfypPCVJZnw%3D%3D&trackingId=3AnhntGPIN0JAMdTXNJ5ow%3D%3D&trk=public_jobs_jserp-result_search-card,Business System Analyst,LTIMindtree,"Markham, Ontario, Canada","About Us: + +LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com. + + + + +Job Title: Business System Analyst + + + + +Work Location: Markham, ON, Canada (Hybrid - Onsite) + + + + +Job Description: + +Business System Analyst is a key member of the project team, contributing to the planning and project execution from ideation, through to completion. +They consistently drive results by identifying opportunities to optimize the way they work, remove project or team roadblocks, and are focused on outcomes that will exceed stakeholder expectations and add the most business value. +We embrace a culture challenging the status quo and constantly look to efficiently simplify processes, technology, and workflow. + + + + +What you’ll do: + +Collaborate on planning, prioritization, and design. +Work with project team on defining and managing project scope. +Document business requirements and acceptance criteria +Create, monitor and constant review of sprint plans looking for opportunities to optimize where applicable. +Organize and lead working sessions and project update meetings within various levels of the organization. +Work closely with business and technical team members in support of project deliverables. +Identify project issues/roadblocks and steps for mitigation and resolution. +Provide feedback and recommendations on project and process improvements. + + + + +What you’ll bring: + +Previous BSA experience with Agile and Scrum Master experience +Guidewire Cloud Certification a MUST +Strong stakeholder management and results oriented. +Excellent planning and organization skills +Time management skills with the ability to establish priorities and effective follow-up. +Must be a team-player, a team builder, and a driver. +Self-starter with ability to work independently. + + + + +Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): + +Benefits and Perks: + +Comprehensive Medical Plan Covering Medical, Dental, Vision +Short Term and Long-Term Disability Coverage +401(k) Plan with Company match +Life Insurance +Vacation Time, Sick Leave, Paid Holidays +Paid Paternity and Maternity Leave + + + + +The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. + + + + +Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. + + + + +LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. + + + + +Safe return to office: + +In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes. + +Show more ","
    + + + + + +
    +
    +

    About Us:

    LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com.


    Job Title: Business System Analyst


    Work Location: Markham, ON, Canada (Hybrid - Onsite)


    Job Description:

    • Business System Analyst is a key member of the project team, contributing to the planning and project execution from ideation, through to completion.
    • They consistently drive results by identifying opportunities to optimize the way they work, remove project or team roadblocks, and are focused on outcomes that will exceed stakeholder expectations and add the most business value.
    • We embrace a culture challenging the status quo and constantly look to efficiently simplify processes, technology, and workflow.


    What you’ll do:

    • Collaborate on planning, prioritization, and design.
    • Work with project team on defining and managing project scope.
    • Document business requirements and acceptance criteria
    • Create, monitor and constant review of sprint plans looking for opportunities to optimize where applicable.
    • Organize and lead working sessions and project update meetings within various levels of the organization.
    • Work closely with business and technical team members in support of project deliverables.
    • Identify project issues/roadblocks and steps for mitigation and resolution.
    • Provide feedback and recommendations on project and process improvements.


    What you’ll bring:

    • Previous BSA experience with Agile and Scrum Master experience
    • Guidewire Cloud Certification a MUST
    • Strong stakeholder management and results oriented.
    • Excellent planning and organization skills
    • Time management skills with the ability to establish priorities and effective follow-up.
    • Must be a team-player, a team builder, and a driver.
    • Self-starter with ability to work independently.


    Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

    Benefits and Perks:

    • Comprehensive Medical Plan Covering Medical, Dental, Vision
    • Short Term and Long-Term Disability Coverage
    • 401(k) Plan with Company match
    • Life Insurance
    • Vacation Time, Sick Leave, Paid Holidays
    • Paid Paternity and Maternity Leave


    The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.


    Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.


    LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.


    Safe return to office:

    In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3967490348,https://ca.linkedin.com/jobs/view/senior-analyst-at-klick-3967490348?position=2&pageNum=7&refId=0PUfQJFWv16w7R4AsjRNjg%3D%3D&trackingId=rivm1p0bw2IKvy9S63K4aw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Analyst,Klick,"Toronto, Ontario, Canada","About Klick Health + +Meet a different kind of workplace. Klick Health is an ecosystem of brilliant minds working to realize the full potential of their people and clients in life sciences since 1997. And we’re still growing fast, even after two decades. What does that mean for you? As Klick experiences exponential growth year-over-year, so do the people who help make it happen. Because we’re constantly evolving and changing, we invest in talent early and often, to develop future leaders at all levels. We’re one of the country’s Top 10 Great Workplaces, 10 Most Inspiring Cultures, Best Workplace for Innovators, Best Managed, and Fastest Growing. We know that career paths are seldom simple and straightforward. And that's an asset. If you feel like you'd be a good fit for this role, we encourage you to apply and take the first steps to starting your career journey at Klick! + +Are you ready to be at the forefront of the big data revolution? Join the Analytics team at Klick, where we've recently acquired a slew of eager new clients seeking data-savvy partners to drive their marketing strategies. We're expanding our horizons, from web analytics to marketing mix optimization to predictive modelling. + +To meet this demand, we're in search of enthusiastic, versatile, and creative thought leaders! If this sounds like you, keep reading. + +Key Responsibilities: As a Senior Analyst, your role will encompass the following; + + +Provide hands-on analysis targeting executive-level audiences, focusing on key priorities. +Clearly articulate data requirements to database marketing specialists to answer critical business questions. +Cultivate a culture of measurability by implementing data collection systems across various channels and delivering actionable insights to the appropriate stakeholders. +Advocate for the creative application of quantitative analysis to enhance business outcomes + + + +Qualifications: + + +5+ years of hands-on data analysis experience, including manipulation and analysis of large, multi-dimensional datasets +3+ years of hands-on experience with web analytics tools, with expertise in Google Analytics (WebTrends and/or SiteCatalyst experience is a plus) +Familiarity with Tag Management Systems such as Google Tag Manager, Tealium, and Ensighten +Proficiency in various digital marketing tactics, including online media (display, paid search, SEO), CRM, and mobile apps, along with hands-on experience in working with related data +Strong knowledge of statistical analysis principles +The ability to communicate complex findings persuasively, both in formal and informal discussions with senior-to-executive level clients +Proficiency in using SQL to extract, manipulate, and discover insights within large datasets +Effective communication skills to convey the significance of insights and their alignment with business objectives + + + +If you possess an unquenchable curiosity, a passion for data, and the drive to challenge the status quo, we want to hear from you. Join us and be a catalyst for data-driven success at Klick. + +What makes Klick different? + +You’ll work on numerous multi-million dollar brands—the size and breadth of the accounts here are incomparable to most agencies. We believe in putting our people first, and always make that our priority. This and our other timeless principles have made all the difference in our over two decades of success. By having an entrepreneurial spirit, playing the long game, considering outcomes over optics, and solving challenging problems through our hacker roots, we live our difference in all that we do. You’ll get to experience a high level of trust and be given the freedom to make decisions, judgment calls, and function with autonomy. If you have an idea, run with it! You’ll be encouraged to let your entrepreneurial spirit flourish and you’ll work with incredible teams that you can learn from, contribute to, and who will support you every step of the way! + +Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of colour, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. + +We’re also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience. + + +Show more ","
    + + + + + +
    +
    + About Klick Health

    Meet a different kind of workplace. Klick Health is an ecosystem of brilliant minds working to realize the full potential of their people and clients in life sciences since 1997. And we’re still growing fast, even after two decades. What does that mean for you? As Klick experiences exponential growth year-over-year, so do the people who help make it happen. Because we’re constantly evolving and changing, we invest in talent early and often, to develop future leaders at all levels. We’re one of the country’s Top 10 Great Workplaces, 10 Most Inspiring Cultures, Best Workplace for Innovators, Best Managed, and Fastest Growing. We know that career paths are seldom simple and straightforward. And that's an asset. If you feel like you'd be a good fit for this role, we encourage you to apply and take the first steps to starting your career journey at Klick!

    Are you ready to be at the forefront of the big data revolution? Join the Analytics team at Klick, where we've recently acquired a slew of eager new clients seeking data-savvy partners to drive their marketing strategies. We're expanding our horizons, from web analytics to marketing mix optimization to predictive modelling.

    To meet this demand, we're in search of enthusiastic, versatile, and creative thought leaders! If this sounds like you, keep reading.

    Key Responsibilities: As a Senior Analyst, your role will encompass the following;

    • Provide hands-on analysis targeting executive-level audiences, focusing on key priorities.
    • Clearly articulate data requirements to database marketing specialists to answer critical business questions.
    • Cultivate a culture of measurability by implementing data collection systems across various channels and delivering actionable insights to the appropriate stakeholders.
    • Advocate for the creative application of quantitative analysis to enhance business outcomes


    Qualifications:

    • 5+ years of hands-on data analysis experience, including manipulation and analysis of large, multi-dimensional datasets
    • 3+ years of hands-on experience with web analytics tools, with expertise in Google Analytics (WebTrends and/or SiteCatalyst experience is a plus)
    • Familiarity with Tag Management Systems such as Google Tag Manager, Tealium, and Ensighten
    • Proficiency in various digital marketing tactics, including online media (display, paid search, SEO), CRM, and mobile apps, along with hands-on experience in working with related data
    • Strong knowledge of statistical analysis principles
    • The ability to communicate complex findings persuasively, both in formal and informal discussions with senior-to-executive level clients
    • Proficiency in using SQL to extract, manipulate, and discover insights within large datasets
    • Effective communication skills to convey the significance of insights and their alignment with business objectives


    If you possess an unquenchable curiosity, a passion for data, and the drive to challenge the status quo, we want to hear from you. Join us and be a catalyst for data-driven success at Klick.

    What makes Klick different?

    You’ll work on numerous multi-million dollar brands—the size and breadth of the accounts here are incomparable to most agencies. We believe in putting our people first, and always make that our priority. This and our other timeless principles have made all the difference in our over two decades of success. By having an entrepreneurial spirit, playing the long game, considering outcomes over optics, and solving challenging problems through our hacker roots, we live our difference in all that we do. You’ll get to experience a high level of trust and be given the freedom to make decisions, judgment calls, and function with autonomy. If you have an idea, run with it! You’ll be encouraged to let your entrepreneurial spirit flourish and you’ll work with incredible teams that you can learn from, contribute to, and who will support you every step of the way!

    Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of colour, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities.

    We’re also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience.

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    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3976376237,https://ca.linkedin.com/jobs/view/power-bi-reporting-specialist-contract-12-months-at-westlake-3976376237?position=5&pageNum=7&refId=0PUfQJFWv16w7R4AsjRNjg%3D%3D&trackingId=dv7yjae8GKhn8JZojxDvQw%3D%3D&trk=public_jobs_jserp-result_search-card,Power BI Reporting Specialist - Contract 12 Months,Westlake,"Woodbridge, Ontario, Canada","Summary + +This role will be responsible for the adminisitration of the plant reporting focused on Power BI and various other softwares. + +Primary Responsibilities + + +Update existing Power BI/MS apps (Office 365)dashboards daily +Develop new Power BI/MS apps (Office 365) dashboards with direction from Operations +Modify/improve existing Power BI/MS apps (Office 365) +Work with production and process personnel to identify existing data sources for gaps and collate information for automation +Sites supported would be Canadian (WB, then AB) with possible US support later on. +Minor travel may be required +Supporting move to paperless with electronic recordkeeping +Other duties as required + + +Experience /Qualifications + + +Demonstrated computer proficiency Microsoft +Power BI/MS apps (Office 365) existing or ability to train quickly +Data driven person +Desire to streamline and improve - continuous improvement focus +Oracle/JDE experience a plus +Must work on site +Show more ","
    + + + + + +
    +
    + Summary

    This role will be responsible for the adminisitration of the plant reporting focused on Power BI and various other softwares.

    Primary Responsibilities

    • Update existing Power BI/MS apps (Office 365)dashboards daily
    • Develop new Power BI/MS apps (Office 365) dashboards with direction from Operations
    • Modify/improve existing Power BI/MS apps (Office 365)
    • Work with production and process personnel to identify existing data sources for gaps and collate information for automation
    • Sites supported would be Canadian (WB, then AB) with possible US support later on.
    • Minor travel may be required
    • Supporting move to paperless with electronic recordkeeping
    • Other duties as required

    Experience /Qualifications

    • Demonstrated computer proficiency Microsoft
    • Power BI/MS apps (Office 365) existing or ability to train quickly
    • Data driven person
    • Desire to streamline and improve - continuous improvement focus
    • Oracle/JDE experience a plus
    • Must work on site
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4007106513,https://ca.linkedin.com/jobs/view/data-and-analytics-tester-sql-python-pyspark-at-astellas-pharma-4007106513?position=8&pageNum=7&refId=0PUfQJFWv16w7R4AsjRNjg%3D%3D&trackingId=1J0h72w0S%2BjX7LDQt2g%2FbQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Data and Analytics Tester SQL, Python, Pyspark",Astellas Pharma,"Markham, Ontario, Canada","Building your career at Astellas continues to offer inspiring challenges and a chance to make your mark in doing good for others. Our open and progressive culture is what makes us Astellas. It is a culture of doing good for others and contributing to a sustainable society. + +About This Job + +As part of the Astellas commitment to delivering value for our patients, our organisation is currently undergoing transformation to achieve this critical goal. This is an opportunity to work on digital transformation and make a real impact within a company dedicated to improving lives. + +DigitalX our new information technology function is spearheading this value driven transformation across Astellas. We are looking for people who excel in embracing change, manage technical challenges and have exceptional communication skills. + +We’re looking for skilled Testers specializing in SQL, Python, and PySpark to join our FoundationX team. As part of this team, your role will involve maintaining operational, scalable data-driven systems that deliver business value. + +Purpose And Scope + +As a Tester, you will play a crucial role in ensuring the quality and reliability of our pharmaceutical data systems. Your expertise in testing methodologies, data validation, and automation will be essential in maintaining high standards for our data solutions. + +Essential Skills & Knowledge + + +SQL Proficiency Strong skills in SQL for data querying, validation, and analysis. +Experience with complex joins, subqueries, and performance optimization. +Knowledge of database management systems (e.g., SQL Server, Oracle, MySQL). + + +Python And PySpark + + +Proficiency in Python for test automation and data manipulation. +Familiarity with PySpark for big data testing. + + +Testing Methodologies + + +Knowledge of testing frameworks (e.g., pytest, unittest). +Experience with test case design, execution, and defect management. + + +Data Validation + + +Ability to validate data transformations, aggregations, and business rules. +Understanding of data lineage and impact analysis. + + +Business Intelligence Tools + + +Proficiency in designing and maintaining QLIK/Tableau applications. +Strong expertise in creating interactive reports and dashboards using Power BI. +Knowledge of DAX and Power Automate (MS Flow). + + +Data Modelling And Integration + + +Ability to design and implement logical and physical data models. +Familiarity with data warehousing concepts and ETL processes. + + +Data Governance And Quality + + +Understanding of data governance principles and metadata management. +Experience ensuring data quality and consistency. + + +Testing Techniques + + +Familiarity with SQL, Python, or R for data validation and testing. +Manual and automated testing (e.g., Selenium, JUnit). +Test Management Tools: Experience with test management software (e.g., qTest, Zephyr, ALM). + + +Data Analysis + + +Knowledge of statistical analysis and data visualization tools (e.g., Tableau, Power BI). + + +Pharmaceutical Domain + + +Understanding of pharmaceutical data (clinical trials, drug development, patient records). +Attention to Detail: Meticulous review of requirements and data quality. + + +Collaboration And Communication + + +Ability to work with end users and technical team members. Self-starter who collaborates effectively. +Experience and Agile Mindset: Experience with data warehouses, BI, and DWH systems. +Analytical thinking and adherence to DevOps principles. + + +Preferred Skills And Knowledge + + +Experience working in the Pharma industry. Understanding of pharmaceutical data (clinical trials, drug development, patient records) is advantageous. +Certifications in BI tools or testing methodologies. Global Perspective: Demonstrated understanding of global pharmaceutical or healthcare technical delivery, providing exceptional customer service and enabling strategic insights and decision-making. + + +Responsibilities + + +Take ownership of testing key development projects related to the Data Warehouse and other MI systems. +Collaborate with senior team members in a multi-skilled project team. +Contribute to efficient administration of multi-server environments. +Test Strategy and Planning: +Collaborate with stakeholders, data scientists, analysts, and developers to understand project requirements and data pipelines. +Develop comprehensive end-to-end test strategies and plans for data validation, transformation, and analytics. +Data Validation and Quality Assurance: +Execute manual and automated tests on data pipelines, ETL processes, and analytical models. +Verify data accuracy, completeness, and consistency. +Identify anomalies and data quality issues. +Ensure compliance with industry standards (e.g., GxP, HIPAA). +Regression Testing: +Validate changes and enhancements to data pipelines and analytics tools. +Verify data accuracy, consistency, and completeness in QLIK, Power BI, and Tableau reports. +Monitor performance metrics and identify deviations. +Test Case Design and Execution: +Create detailed test cases based on business requirements and technical specifications. +Execute test cases, record results, and report defects. +Collaborate with development teams to resolve issues promptly. +Documentation: Maintain comprehensive documentation of test scenarios, test data, and results. +Document test procedures and best practices. +Data Security and Privacy: +Ensure data security and compliance with privacy regulations (e.g., GDPR). +Validate access controls and encryption mechanisms. +Collaboration and Communication: +Work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders + + +Experience + + +3 years+ of experience as a Tester, Developer or Data Analyst within a Pharmaceutical or working within a similar regulatory environment. +Analytical mindset and logical thinking. +Familiarity with Business Intelligence and Data Warehousing concepts. +Web integration skills (Qlik Sense). +Advanced SQL knowledge. +Understanding of stored procedures, triggers, and tuning. +Experience with other BI tools (Tableau, D3.js) is a plus. + + +Category FoundationX + +Astellas is committed to equality of opportunity in all aspects of employment. + +EOE including Disability/Protected Veterans +Show more ","
    + + + + + +
    +
    + Building your career at Astellas continues to offer inspiring challenges and a chance to make your mark in doing good for others. Our open and progressive culture is what makes us Astellas. It is a culture of doing good for others and contributing to a sustainable society.

    About This Job

    As part of the Astellas commitment to delivering value for our patients, our organisation is currently undergoing transformation to achieve this critical goal. This is an opportunity to work on digital transformation and make a real impact within a company dedicated to improving lives.

    DigitalX our new information technology function is spearheading this value driven transformation across Astellas. We are looking for people who excel in embracing change, manage technical challenges and have exceptional communication skills.

    We’re looking for skilled Testers specializing in SQL, Python, and PySpark to join our FoundationX team. As part of this team, your role will involve maintaining operational, scalable data-driven systems that deliver business value.

    Purpose And Scope

    As a Tester, you will play a crucial role in ensuring the quality and reliability of our pharmaceutical data systems. Your expertise in testing methodologies, data validation, and automation will be essential in maintaining high standards for our data solutions.

    Essential Skills & Knowledge

    • SQL Proficiency Strong skills in SQL for data querying, validation, and analysis.
    • Experience with complex joins, subqueries, and performance optimization.
    • Knowledge of database management systems (e.g., SQL Server, Oracle, MySQL).

    Python And PySpark

    • Proficiency in Python for test automation and data manipulation.
    • Familiarity with PySpark for big data testing.

    Testing Methodologies

    • Knowledge of testing frameworks (e.g., pytest, unittest).
    • Experience with test case design, execution, and defect management.

    Data Validation

    • Ability to validate data transformations, aggregations, and business rules.
    • Understanding of data lineage and impact analysis.

    Business Intelligence Tools

    • Proficiency in designing and maintaining QLIK/Tableau applications.
    • Strong expertise in creating interactive reports and dashboards using Power BI.
    • Knowledge of DAX and Power Automate (MS Flow).

    Data Modelling And Integration

    • Ability to design and implement logical and physical data models.
    • Familiarity with data warehousing concepts and ETL processes.

    Data Governance And Quality

    • Understanding of data governance principles and metadata management.
    • Experience ensuring data quality and consistency.

    Testing Techniques

    • Familiarity with SQL, Python, or R for data validation and testing.
    • Manual and automated testing (e.g., Selenium, JUnit).
    • Test Management Tools: Experience with test management software (e.g., qTest, Zephyr, ALM).

    Data Analysis

    • Knowledge of statistical analysis and data visualization tools (e.g., Tableau, Power BI).

    Pharmaceutical Domain

    • Understanding of pharmaceutical data (clinical trials, drug development, patient records).
    • Attention to Detail: Meticulous review of requirements and data quality.

    Collaboration And Communication

    • Ability to work with end users and technical team members. Self-starter who collaborates effectively.
    • Experience and Agile Mindset: Experience with data warehouses, BI, and DWH systems.
    • Analytical thinking and adherence to DevOps principles.

    Preferred Skills And Knowledge

    • Experience working in the Pharma industry. Understanding of pharmaceutical data (clinical trials, drug development, patient records) is advantageous.
    • Certifications in BI tools or testing methodologies. Global Perspective: Demonstrated understanding of global pharmaceutical or healthcare technical delivery, providing exceptional customer service and enabling strategic insights and decision-making.

    Responsibilities

    • Take ownership of testing key development projects related to the Data Warehouse and other MI systems.
    • Collaborate with senior team members in a multi-skilled project team.
    • Contribute to efficient administration of multi-server environments.
    • Test Strategy and Planning:
    • Collaborate with stakeholders, data scientists, analysts, and developers to understand project requirements and data pipelines.
    • Develop comprehensive end-to-end test strategies and plans for data validation, transformation, and analytics.
    • Data Validation and Quality Assurance:
    • Execute manual and automated tests on data pipelines, ETL processes, and analytical models.
    • Verify data accuracy, completeness, and consistency.
    • Identify anomalies and data quality issues.
    • Ensure compliance with industry standards (e.g., GxP, HIPAA).
    • Regression Testing:
    • Validate changes and enhancements to data pipelines and analytics tools.
    • Verify data accuracy, consistency, and completeness in QLIK, Power BI, and Tableau reports.
    • Monitor performance metrics and identify deviations.
    • Test Case Design and Execution:
    • Create detailed test cases based on business requirements and technical specifications.
    • Execute test cases, record results, and report defects.
    • Collaborate with development teams to resolve issues promptly.
    • Documentation: Maintain comprehensive documentation of test scenarios, test data, and results.
    • Document test procedures and best practices.
    • Data Security and Privacy:
    • Ensure data security and compliance with privacy regulations (e.g., GDPR).
    • Validate access controls and encryption mechanisms.
    • Collaboration and Communication:
    • Work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders

    Experience

    • 3 years+ of experience as a Tester, Developer or Data Analyst within a Pharmaceutical or working within a similar regulatory environment.
    • Analytical mindset and logical thinking.
    • Familiarity with Business Intelligence and Data Warehousing concepts.
    • Web integration skills (Qlik Sense).
    • Advanced SQL knowledge.
    • Understanding of stored procedures, triggers, and tuning.
    • Experience with other BI tools (Tableau, D3.js) is a plus.

    Category FoundationX

    Astellas is committed to equality of opportunity in all aspects of employment.

    EOE including Disability/Protected Veterans +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4005943367,https://ca.linkedin.com/jobs/view/data-engineer-at-chelsea-avondale-4005943367?position=9&pageNum=7&refId=0PUfQJFWv16w7R4AsjRNjg%3D%3D&trackingId=lW8AWUFjfWN%2BMQ7NxGwClA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer,Chelsea Avondale,"Greater Toronto Area, Canada","Chelsea Avondale is the world’s most cutting-edge home insurance group. We have developed sophisticated risk modeling and insurance pricing technologies for home insurance and deploy that technology through our own insurance company. + + + + +Our team consists of some of the brightest minds in insurance, software development, finance, and operations. Our group includes our scientific research & engineering division (Skynet Software) and Canadian property & casualty insurance company (Max Insurance). + + + + +Together, our group is transforming the Canadian and global insurance landscape. + + + + +JOB DESCRIPTION: + +Chelsea Avondale is looking for a Data Engineer with a gift for understanding and explaining large datasets using Python --- the primary coding language across our organization. These datasets contain millions of rows and hundreds of columns of proprietary data and offer unique opportunities for learning. Our business is going through rapid growth, and it is essential that the analysis of our data keeps up with this pace. + + + + +The primary focus of the Data Engineer will be to gather, curate, and preprocess data from various sources, ensuring data quality and integrity at all times; to explore and analyze large connected datasets using statistical techniques and machine learning algorithms with the goal of enabling users to self-serve; and to communicate findings to stakeholders through data visualizations, reports, and presentations. Our data plays a pivotal role in driving the development of our scientific models, pricing platform and broker portal. From a deep understanding of the data, the Engineer can propose technology improvements or come up with innovative solutions to solve business problems. + + + + +This position is ideal for candidates who have an extraordinary sense of responsibility and are not afraid to roll up their sleeves. You have to be comfortable taking the initiative with rich new datasets that may be ambiguous. Our IT environment is streamlined, focusing on a core set of technologies. We need someone who is comfortable working within this framework and can innovate without relying on an extensive toolkit We take pride in maintaining a fundamental stack of technologies, much of it in Python, and we are looking for someone who shares this mentality. + + + + +While our primary language is Python, we are open to exploring and integrating new tools and technologies that can enhance our data processes. This role offers the opportunity to influence our technical direction and adopt best practices in data engineering. + + + + +If you are someone who thrives in a high-performance culture and is eager for work that is both challenging and constantly evolving, this role is perfect for you. We strongly encourage and help our team members to improve and enhance their personal skill sets within our organization. + +On your journey with us, you will have the ability to learn and grow rapidly, taking on more responsibilities. + + + + +RESPONSIBILITIES: + +Be hands-on with principled data warehouse design, data visualization, and data pipeline design and development. +Collaborate with teams from Science, Engineering, and Business to produce relevant data solutions that can be used across multiple use cases. +Understand the business drivers and analytical use-cases and translate these to data products. +Explore new technologies and learn new techniques to solve data problems creatively. +Think big and drive the strategy for better data quality within Chelsea Avondale. +Create data visualizations that allow easy consumption of the data learnings and insights. +Lead designing and implementing scalable data ingestion systems for various ML/AI solutions, which includes ingestion of structured and unstructured data. +Analyze complex data flows and dependencies, and design and implement data models for optimal storage and retrieval processes. +Strong ownership and communication skills, be able to support and align efforts to meet data user needs. +Write and maintain clean high-quality code in Python. Maintain and enhance inherited code, ensuring adherence to best coding practices. + + + + +PREFERRED EXPERIENCE & SKILLS: + +Bachelor’s or Master’s degree in Mathematics or Statistics. We encourage highly motivated new grads to apply. +3+ years of experience in Python and Pandas is key. +Knowledge of Hadoop, Hive, Presto, Spark, SparkSQL, Tableau are NOT required. +Hands-on experience in principled data warehouse design, data visualization and data pipeline design and development. +Experience with MongoDB. +CI/CD tools and methodologies (GitLab, branches, code reviews, merge requests, etc). +AWS experience is a plus. +Great communication skills. You should be able to directly communicate with senior business leaders, embed yourself within business teams, and present solutions to business stakeholders. +Experience working independently and driving projects end to end. +Strong problem solving and analytical skills (performance analysis, defect analysis, and reporting). +Organized and meticulous. +Willingness to come into our Toronto office (8 minute walk from Union station) once per month. + + + + +Chelsea Avondale welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. + +Show more ","
    + + + + + +
    +
    +

    Chelsea Avondale is the world’s most cutting-edge home insurance group. We have developed sophisticated risk modeling and insurance pricing technologies for home insurance and deploy that technology through our own insurance company.


    Our team consists of some of the brightest minds in insurance, software development, finance, and operations. Our group includes our scientific research & engineering division (Skynet Software) and Canadian property & casualty insurance company (Max Insurance).


    Together, our group is transforming the Canadian and global insurance landscape.


    JOB DESCRIPTION:

    Chelsea Avondale is looking for a Data Engineer with a gift for understanding and explaining large datasets using Python --- the primary coding language across our organization. These datasets contain millions of rows and hundreds of columns of proprietary data and offer unique opportunities for learning. Our business is going through rapid growth, and it is essential that the analysis of our data keeps up with this pace.


    The primary focus of the Data Engineer will be to gather, curate, and preprocess data from various sources, ensuring data quality and integrity at all times; to explore and analyze large connected datasets using statistical techniques and machine learning algorithms with the goal of enabling users to self-serve; and to communicate findings to stakeholders through data visualizations, reports, and presentations. Our data plays a pivotal role in driving the development of our scientific models, pricing platform and broker portal. From a deep understanding of the data, the Engineer can propose technology improvements or come up with innovative solutions to solve business problems.


    This position is ideal for candidates who have an extraordinary sense of responsibility and are not afraid to roll up their sleeves. You have to be comfortable taking the initiative with rich new datasets that may be ambiguous. Our IT environment is streamlined, focusing on a core set of technologies. We need someone who is comfortable working within this framework and can innovate without relying on an extensive toolkit We take pride in maintaining a fundamental stack of technologies, much of it in Python, and we are looking for someone who shares this mentality.


    While our primary language is Python, we are open to exploring and integrating new tools and technologies that can enhance our data processes. This role offers the opportunity to influence our technical direction and adopt best practices in data engineering.


    If you are someone who thrives in a high-performance culture and is eager for work that is both challenging and constantly evolving, this role is perfect for you. We strongly encourage and help our team members to improve and enhance their personal skill sets within our organization.

    On your journey with us, you will have the ability to learn and grow rapidly, taking on more responsibilities.


    RESPONSIBILITIES:

    • Be hands-on with principled data warehouse design, data visualization, and data pipeline design and development.
    • Collaborate with teams from Science, Engineering, and Business to produce relevant data solutions that can be used across multiple use cases.
    • Understand the business drivers and analytical use-cases and translate these to data products.
    • Explore new technologies and learn new techniques to solve data problems creatively.
    • Think big and drive the strategy for better data quality within Chelsea Avondale.
    • Create data visualizations that allow easy consumption of the data learnings and insights.
    • Lead designing and implementing scalable data ingestion systems for various ML/AI solutions, which includes ingestion of structured and unstructured data.
    • Analyze complex data flows and dependencies, and design and implement data models for optimal storage and retrieval processes.
    • Strong ownership and communication skills, be able to support and align efforts to meet data user needs.
    • Write and maintain clean high-quality code in Python. Maintain and enhance inherited code, ensuring adherence to best coding practices.


    PREFERRED EXPERIENCE & SKILLS:

    • Bachelor’s or Master’s degree in Mathematics or Statistics. We encourage highly motivated new grads to apply.
    • 3+ years of experience in Python and Pandas is key.
    • Knowledge of Hadoop, Hive, Presto, Spark, SparkSQL, Tableau are NOT required.
    • Hands-on experience in principled data warehouse design, data visualization and data pipeline design and development.
    • Experience with MongoDB.
    • CI/CD tools and methodologies (GitLab, branches, code reviews, merge requests, etc).
    • AWS experience is a plus.
    • Great communication skills. You should be able to directly communicate with senior business leaders, embed yourself within business teams, and present solutions to business stakeholders.
    • Experience working independently and driving projects end to end.
    • Strong problem solving and analytical skills (performance analysis, defect analysis, and reporting).
    • Organized and meticulous.
    • Willingness to come into our Toronto office (8 minute walk from Union station) once per month.


    Chelsea Avondale welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3962776125,https://ca.linkedin.com/jobs/view/sr-data-analyst-revenue-assurance-at-rogers-communications-3962776125?position=10&pageNum=7&refId=0PUfQJFWv16w7R4AsjRNjg%3D%3D&trackingId=9cjfkkP0t3sbeuYWtYCKAQ%3D%3D&trk=public_jobs_jserp-result_search-card,Sr. Data Analyst (Revenue Assurance),Rogers Communications,"Toronto, Ontario, Canada","We are committed to connecting Canadians through unique partnerships, our world-class network and content Canadians love—and our innovative team is growing. We are looking for dedicated team members to join our Corporate team who have a genuine passion for making positive impacts on customers and the communities where we live and work. We have a variety of business units with exciting and meaningful work waiting for you, including Communications, HR, Legal and Corporate Affairs, Supply Chain, Finance, and Real Estate. If you are considering your next step, we have exciting opportunities waiting for you. Come build a rewarding career at Rogers and be a driving force behind our success story! + +Reporting to the Sr. Manager, Revenue Assurance, the successful candidate will be an energetic, thorough, and detail-oriented contributor with expert knowledge of controls, data analytics and reporting. We have a bold vision of developing new Revenue Assurance capabilities to deliver even better experiences to our valued customers and frontline team members that support our customers. To enable that vision, we are looking for individuals with a passion for collaboration and innovation. Gone are the days of traditional transactional reporting using clunky tools and stale data – join us to make an impact! + +What You’ll Be Doing + + +Lead the development and migration of Revenue Assurance controls, reporting and dashboards through the entire development lifecycle (scoping, requirements, development, QA, defect management, deployment, etc.) in Databricks. +Monitor Revenue Assurance controls, reporting and dashboards to identify revenue related risks, and recommend, implement, and monitor corrective actions. +Perform analysis and transformation of various internal and external data sets with the aim of generating actionable insights. +Undertake self-initiated analysis to uncover opportunities or instances of revenue or cost exposure/overbilling. +Help with process automation, technical and analytical support to the operational and management teams when required. +Generate business case and/or cost benefit statements to support analysis and key findings for any revenue recovery opportunities. +Collaborate with key internal and external stakeholders to resolve issues or identify and implement opportunities that improve operational processes when required. +Identify opportunities to leverage advanced analytics (esp. predictive) to effect better business outcomes. +Support data stewardship and data governance activities and initiatives as needed. + + +What You’ll Bring + + +Undergraduate degree from a recognized university (computer science/engineering, mathematics, business, or equivalent). +2-4 years of demonstrated coding, business reporting and analytical experience, preferably within the telecom industry. +Experience analyzing, manipulating, transforming, and interpreting large and complex datasets (i.e., millions of rows) +Technical Aptitude Advanced knowledge of database queries, structures, and data management principles. Python, Excel/VBA, SAS, Business Objects, and other coding will be an asset. +Experience with one or more current BI and visualization tools such as Tableau and Power BI. +Demonstrated knowledge of the master data lifecycle, including experience with data profiling and data quality. +Practical experience with Software Development Lifecycle (SDLC) and ETL (extract, transform, load) processes and associated tools. +Exceptional analytical and problem solving skills. +Excellent interpersonal and communication skills with ability to work with cross-functional teams. +Strong planning and organizational skills and ability to contribute to and support multiple projects in a high-paced performance environment. + + +What’s in it for you? + +We believe in investing in our people and helping them reach their potential as valuable members of our team. As part of our team, you’ll have access to a wide range of incredible resources, growth opportunities, discounts, and perks, including + + +Competitive salary & annual bonus +Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs +Discounts Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores +Paid time off for volunteering +Company matching contributions to charities you support +Growth & Development Opportunities +Self-driven career development programs (E.g. MyPath program) +Rogers First priority in applying to internal roles of interest +Wellness Programs +Homewood employee & family assistance program +Cognitive Behavioural Therapy (CBT) & Virtual therapy sessions +Low or no-cost fitness membership with access to virtual classes +Our commitment to the environment and diversity +Work for an organization committed to environmental protection +Strong commitment to diversity and inclusion with employee resource groups supporting equity-deserving groups including groups representing People of Colour, 2SLGBTQIA+, Indigenous Peoples, Persons with Disabilities and Women. We all bring something different, and we know what makes us different makes us great. + +This is a hybrid work position and will require you to be in office three days per week. You can choose which days in office work best for you! + +If you are selected to move forward in the recruitment process, here is what you can expect + + +15-minute phone screen with your recruiter, 1-hour virtual interview with Hiring Manager, 30-minute final round virtual interview with Director of the team. Best of luck! + + +To protect our people, brand and assets, a pre-employment background check will be conducted. As part of our selection process, all candidates must clear a criminal background check. Additionally, a credit check and drivers abstract may be required depending on the role. + +Schedule Full time + +Shift No Selection + +Length of Contract Not Applicable (Regular Position) + +Work Location 333 Bloor Street East (012), Toronto, ON + +Travel Requirements No Selection + +Posting Category/Function Finance & Accounting & Audit / Compliance + +Requisition ID 311907 + +At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong. We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the Recruitment Process FAQ. + +Posting Notes Corporate + + +Show more ","
    + + + + + +
    +
    + We are committed to connecting Canadians through unique partnerships, our world-class network and content Canadians love—and our innovative team is growing. We are looking for dedicated team members to join our Corporate team who have a genuine passion for making positive impacts on customers and the communities where we live and work. We have a variety of business units with exciting and meaningful work waiting for you, including Communications, HR, Legal and Corporate Affairs, Supply Chain, Finance, and Real Estate. If you are considering your next step, we have exciting opportunities waiting for you. Come build a rewarding career at Rogers and be a driving force behind our success story!

    Reporting to the Sr. Manager, Revenue Assurance, the successful candidate will be an energetic, thorough, and detail-oriented contributor with expert knowledge of controls, data analytics and reporting. We have a bold vision of developing new Revenue Assurance capabilities to deliver even better experiences to our valued customers and frontline team members that support our customers. To enable that vision, we are looking for individuals with a passion for collaboration and innovation. Gone are the days of traditional transactional reporting using clunky tools and stale data – join us to make an impact!

    What You’ll Be Doing

    • Lead the development and migration of Revenue Assurance controls, reporting and dashboards through the entire development lifecycle (scoping, requirements, development, QA, defect management, deployment, etc.) in Databricks.
    • Monitor Revenue Assurance controls, reporting and dashboards to identify revenue related risks, and recommend, implement, and monitor corrective actions.
    • Perform analysis and transformation of various internal and external data sets with the aim of generating actionable insights.
    • Undertake self-initiated analysis to uncover opportunities or instances of revenue or cost exposure/overbilling.
    • Help with process automation, technical and analytical support to the operational and management teams when required.
    • Generate business case and/or cost benefit statements to support analysis and key findings for any revenue recovery opportunities.
    • Collaborate with key internal and external stakeholders to resolve issues or identify and implement opportunities that improve operational processes when required.
    • Identify opportunities to leverage advanced analytics (esp. predictive) to effect better business outcomes.
    • Support data stewardship and data governance activities and initiatives as needed.

    What You’ll Bring

    • Undergraduate degree from a recognized university (computer science/engineering, mathematics, business, or equivalent).
    • 2-4 years of demonstrated coding, business reporting and analytical experience, preferably within the telecom industry.
    • Experience analyzing, manipulating, transforming, and interpreting large and complex datasets (i.e., millions of rows)
    • Technical Aptitude Advanced knowledge of database queries, structures, and data management principles. Python, Excel/VBA, SAS, Business Objects, and other coding will be an asset.
    • Experience with one or more current BI and visualization tools such as Tableau and Power BI.
    • Demonstrated knowledge of the master data lifecycle, including experience with data profiling and data quality.
    • Practical experience with Software Development Lifecycle (SDLC) and ETL (extract, transform, load) processes and associated tools.
    • Exceptional analytical and problem solving skills.
    • Excellent interpersonal and communication skills with ability to work with cross-functional teams.
    • Strong planning and organizational skills and ability to contribute to and support multiple projects in a high-paced performance environment.

    What’s in it for you?

    We believe in investing in our people and helping them reach their potential as valuable members of our team. As part of our team, you’ll have access to a wide range of incredible resources, growth opportunities, discounts, and perks, including

    • Competitive salary & annual bonus
    • Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs
    • Discounts Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores
    • Paid time off for volunteering
    • Company matching contributions to charities you support
    • Growth & Development Opportunities
      • Self-driven career development programs (E.g. MyPath program)
      • Rogers First priority in applying to internal roles of interest
    • Wellness Programs
      • Homewood employee & family assistance program
      • Cognitive Behavioural Therapy (CBT) & Virtual therapy sessions
      • Low or no-cost fitness membership with access to virtual classes
    • Our commitment to the environment and diversity
      • Work for an organization committed to environmental protection
      • Strong commitment to diversity and inclusion with employee resource groups supporting equity-deserving groups including groups representing People of Colour, 2SLGBTQIA+, Indigenous Peoples, Persons with Disabilities and Women. We all bring something different, and we know what makes us different makes us great.
    This is a hybrid work position and will require you to be in office three days per week. You can choose which days in office work best for you!

    If you are selected to move forward in the recruitment process, here is what you can expect

    • 15-minute phone screen with your recruiter, 1-hour virtual interview with Hiring Manager, 30-minute final round virtual interview with Director of the team. Best of luck!

    To protect our people, brand and assets, a pre-employment background check will be conducted. As part of our selection process, all candidates must clear a criminal background check. Additionally, a credit check and drivers abstract may be required depending on the role.

    Schedule Full time

    Shift No Selection

    Length of Contract Not Applicable (Regular Position)

    Work Location 333 Bloor Street East (012), Toronto, ON

    Travel Requirements No Selection

    Posting Category/Function Finance & Accounting & Audit / Compliance

    Requisition ID 311907

    At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong. We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the Recruitment Process FAQ.

    Posting Notes Corporate

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4002426015,https://ca.linkedin.com/jobs/view/2025-winter-student-opportunities-technology-operations-data-specialists-12-months-at-rbc-4002426015?position=1&pageNum=10&refId=fTg41uLrioO8wSNATkSouA%3D%3D&trackingId=5FZG4Rwh4v5p11rkmf7BmQ%3D%3D&trk=public_jobs_jserp-result_search-card,"2025 Winter Student Opportunities Technology & Operations - Data Specialists, 12 Months",RBC,"Toronto, Ontario, Canada","Job Summary + +Job Description + +What is the opportunity? + +Are you interested in the opportunity to work as a Data Student at RBC for 12 Months? By applying to this job posting, you will be considered for multiple roles available across RBC Technology & Operations. + +Some exciting roles you’ll be considered for are: + + +Data Analyst +Data Scientist + + +   + +Please only apply to this posting if you are eligible to complete a full 12-month co-op term with your school. + +What will you do? + + +Analyze, design, deliver, and implement analytic development projects, with the use of RBC’s analytics tools +Ensure that project activities are accomplished within approved time frames, scope, and budgets +Apply data warehouse concepts and methodologies to various projects +Utilize the latest technologies available, designing and building data solutions to meet business needs +Be an active contributor to not only your individual team, but to the RBC development community +Constantly seek out better ways to do things, new tools, new technologies, new processes +Work on transformational projects delivering new value +Work as part of an agile team responsible for end-to-end delivery of business needs +Use business domain knowledge to independently lead the analytics process to identify valuable and innovative insights +Promote analytics across the enterprise to enable RBC to become a data-driven organization + + +What do you need to succeed? + +Must-have + + +Currently enrolled at a Canadian post-secondary institution with a focus on data science, computer science, mathematics, statistics, machine learning +Leadership acumen and a passion to apply it in a dynamic business environment +Excellent interpersonal and highly developed communication skills (verbal and written) +Creative and analytical thinker who is self-driven and capable of working in a fast paced environment +Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA) +Programming skills in one or more languages (ex. Python, R) +Ability to data extract, transform, and load processes with a variety of data types +Ability to perform complex data analysis on large volumes of data and present findings to stakeholders +Strong MS Office skills – Word, Outlook, Excel and PowerPoint + + +Nice-to-have + + +Proficient in building statistical and algorithmic models with complex and large datasets, including but not limited to: supervised statistical learning, clustering, natural language processing, recommendation systems, times-series analysis, experimental design (A/B testing), data visualization, deep learning +Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies +Relational database concepts and design experience +Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge + + +  + +What’s in it for you? + +We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. + + +Network and build lasting relationships with students from diverse backgrounds from across Canada +Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance +Leaders who support your development through coaching and learning opportunities +Work in a dynamic, collaborative, progressive and highly performing team +Ability to make a difference and lasting impact +Enjoy a comfortable work environment with the option to dress casually  + + +  + +We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 15th, 2024. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review. + +Bewhatsnext + +Job Skills + +Active Learning, Adaptability, Communication, Creativity, Interpersonal Relationships, Listening Effectively, Personal Development, Taking Initiative, Teamwork + +Additional Job Details + +Address: + +RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO + +City: + +TORONTO + +Country: + +Canada + +Work hours/week: + +37.5 + +Employment Type: + +Full time + +Platform: + +Job Type: + +Student/Coop (Fixed Term) + +Pay Type: + +Salaried + +Posted Date: + +2024-08-16 + +Application Deadline: + +2024-09-16 + +Inclusion and Equal Opportunity Employment + +At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities. + +We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process. + +Join our Talent Community + +Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. + +Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com     +Show more ","
    + + + + + +
    +
    + Job Summary

    Job Description

    What is the opportunity?

    Are you interested in the opportunity to work as a Data Student at RBC for 12 Months? By applying to this job posting, you will be considered for multiple roles available across RBC Technology & Operations.

    Some exciting roles you’ll be considered for are:

    • Data Analyst
    • Data Scientist

      

    Please only apply to this posting if you are eligible to complete a full 12-month co-op term with your school.

    What will you do?

    • Analyze, design, deliver, and implement analytic development projects, with the use of RBC’s analytics tools
    • Ensure that project activities are accomplished within approved time frames, scope, and budgets
    • Apply data warehouse concepts and methodologies to various projects
    • Utilize the latest technologies available, designing and building data solutions to meet business needs
    • Be an active contributor to not only your individual team, but to the RBC development community
    • Constantly seek out better ways to do things, new tools, new technologies, new processes
    • Work on transformational projects delivering new value
    • Work as part of an agile team responsible for end-to-end delivery of business needs
    • Use business domain knowledge to independently lead the analytics process to identify valuable and innovative insights
    • Promote analytics across the enterprise to enable RBC to become a data-driven organization

    What do you need to succeed?

    Must-have

    • Currently enrolled at a Canadian post-secondary institution with a focus on data science, computer science, mathematics, statistics, machine learning
    • Leadership acumen and a passion to apply it in a dynamic business environment
    • Excellent interpersonal and highly developed communication skills (verbal and written)
    • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
    • Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)
    • Programming skills in one or more languages (ex. Python, R)
    • Ability to data extract, transform, and load processes with a variety of data types
    • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
    • Strong MS Office skills – Word, Outlook, Excel and PowerPoint

    Nice-to-have

    • Proficient in building statistical and algorithmic models with complex and large datasets, including but not limited to: supervised statistical learning, clustering, natural language processing, recommendation systems, times-series analysis, experimental design (A/B testing), data visualization, deep learning
    • Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies
    • Relational database concepts and design experience
    • Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge

     

    What’s in it for you?

    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

    • Network and build lasting relationships with students from diverse backgrounds from across Canada
    • Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance
    • Leaders who support your development through coaching and learning opportunities
    • Work in a dynamic, collaborative, progressive and highly performing team
    • Ability to make a difference and lasting impact
    • Enjoy a comfortable work environment with the option to dress casually 

     

    We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 15th, 2024. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

    Bewhatsnext

    Job Skills

    Active Learning, Adaptability, Communication, Creativity, Interpersonal Relationships, Listening Effectively, Personal Development, Taking Initiative, Teamwork

    Additional Job Details

    Address:

    RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

    City:

    TORONTO

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    Job Type:

    Student/Coop (Fixed Term)

    Pay Type:

    Salaried

    Posted Date:

    2024-08-16

    Application Deadline:

    2024-09-16

    Inclusion and Equal Opportunity Employment

    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

    Join our Talent Community

    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com</a/span> +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3975484829,https://ca.linkedin.com/jobs/view/senior-data-analyst-pricing-and-finance-at-servicetitan-3975484829?position=3&pageNum=10&refId=fTg41uLrioO8wSNATkSouA%3D%3D&trackingId=WZrlbdZb%2BoWYFPrCfcl%2FkA%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Data Analyst, Pricing and Finance",ServiceTitan,"Greater Toronto Area, Canada","Ready to be a Titan? + +ServiceTitan is looking for a highly skilled Data Analyst to join our Product Intelligence Analytics team. This is a highly visible role that interacts with senior leadership and focuses on one of the company’s top priorities - making data-driven pricing decisions for our products. This person in this role will create BI solutions to accurately and efficiently collect, report, and analyze pricing data. Additionally, this role involves synthesizing complex data into actionable recommendations, effectively communicating findings to stakeholders, and providing analytical support to the Finance team. The ideal candidate will have 5+ years of experience working with data, full-stack analytical skills, strong business acumen, and effective communication skills. + +What you’ll do: + + + +Develop data-driven pricing strategies for products and offerings and identify opportunities to optimize sales and profitability +Use analytical tools to pinpoint instances of underbilling and missed charges +Conceptualize, build, manage and maintain pricing, contract, and billing data +Take the lead on the design, implementation, and delivery of BI solutions that help drive pricing decisions and facilitate automatic billing +Establish monitoring systems and documentation to ensure data quality +Support Finance forecast and monthly close with timely and accurate reporting on contract and billing data +Effectively communicate insights and recommendations to the executive team and business leads and influence decision-making +Work with cross-functional teams to drive results through data insights and strategic partnerships + + +What you’ll need: + + + +5+ years of experience working with big data; preferably 2+ years of experience with pricing and financial data +BA/BS in Computer Science, Mathematics, Economics, or a related discipline or commensurate technical experience +Proficient in SQL, Tableau and Excel +Experience in data pipeline tools such as dbt and Apache Airflow +Have a keen eye for spotting errors and inconsistencies in data +Ability to challenge the status quo and take ownership of assigned projects +Excellent written and verbal communication skills with the ability to collaborate effectively with the business, operations and technology teams +Experience with Salesforce is a plus + + +Be Human With Us: + +Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us. + +What We Offer + +When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career: + + + +Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more. +Holistic health and wellness benefits: Company-paid medical, dental, and vision for you and your dependents, RSP match, and 24/7 virtual healthcare. +Support for Titans at all stages of life: Parental leave and support, up to $20k in adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, financial planning tools, and more. + + +At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws. + +ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation. The expected salary range for this role for candidates residing in Canada is between $102,000 CAD - $154,000 CAD. Actual compensation for an individual may vary depending on skills, performance over time, qualifications, experience, and location. In addition to the base salary, the total compensation package also includes an annual bonus, equity and a holistic suite of benefits. +Show more ","
    + + + + + +
    +
    + Ready to be a Titan?

    ServiceTitan is looking for a highly skilled Data Analyst to join our Product Intelligence Analytics team. This is a highly visible role that interacts with senior leadership and focuses on one of the company’s top priorities - making data-driven pricing decisions for our products. This person in this role will create BI solutions to accurately and efficiently collect, report, and analyze pricing data. Additionally, this role involves synthesizing complex data into actionable recommendations, effectively communicating findings to stakeholders, and providing analytical support to the Finance team. The ideal candidate will have 5+ years of experience working with data, full-stack analytical skills, strong business acumen, and effective communication skills.

    What you’ll do:


    • Develop data-driven pricing strategies for products and offerings and identify opportunities to optimize sales and profitability
    • Use analytical tools to pinpoint instances of underbilling and missed charges
    • Conceptualize, build, manage and maintain pricing, contract, and billing data
    • Take the lead on the design, implementation, and delivery of BI solutions that help drive pricing decisions and facilitate automatic billing
    • Establish monitoring systems and documentation to ensure data quality
    • Support Finance forecast and monthly close with timely and accurate reporting on contract and billing data
    • Effectively communicate insights and recommendations to the executive team and business leads and influence decision-making
    • Work with cross-functional teams to drive results through data insights and strategic partnerships

    What you’ll need:


    • 5+ years of experience working with big data; preferably 2+ years of experience with pricing and financial data
    • BA/BS in Computer Science, Mathematics, Economics, or a related discipline or commensurate technical experience
    • Proficient in SQL, Tableau and Excel
    • Experience in data pipeline tools such as dbt and Apache Airflow
    • Have a keen eye for spotting errors and inconsistencies in data
    • Ability to challenge the status quo and take ownership of assigned projects
    • Excellent written and verbal communication skills with the ability to collaborate effectively with the business, operations and technology teams
    • Experience with Salesforce is a plus

    Be Human With Us:

    Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.

    What We Offer

    When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:


    • Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
    • Holistic health and wellness benefits: Company-paid medical, dental, and vision for you and your dependents, RSP match, and 24/7 virtual healthcare.
    • Support for Titans at all stages of life: Parental leave and support, up to $20k in adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, financial planning tools, and more.

    At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

    ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation. The expected salary range for this role for candidates residing in Canada is between $102,000 CAD - $154,000 CAD. Actual compensation for an individual may vary depending on skills, performance over time, qualifications, experience, and location. In addition to the base salary, the total compensation package also includes an annual bonus, equity and a holistic suite of benefits. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-24,[] +3999926573,https://ca.linkedin.com/jobs/view/data-engineer-at-charger-logistics-inc-3999926573?position=4&pageNum=10&refId=fTg41uLrioO8wSNATkSouA%3D%3D&trackingId=mvu5VAPD8iEwt2bv07JsAw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer,Charger Logistics Inc.,"Brampton, Ontario, Canada","Charger Logistics is a world class asset-based carrier. We specialize in delivering assets, on time and on budget. With the diverse fleet of equipment, we can handle a range of freight, including dedicated loads, specialized hauls, temperature-controlled goods and HAZMAT cargo. + +Charger logistics invests time and support into its employees to provide them with the room to learn and grow their expertise and work their way up. We are entrepreneurial-minded organization that welcomes and support individual idea and strategies. + +We are looking for a Data Engineer who would be a part of a high-powered, globally distributed team (Data Science & BI Engineering) that builds end-to-end data pipelines, develops complex analytical processes, and manages our central data lake for advanced analytics. The team also develops visual analytics with Tableau. The candidate will work cross-functionally with technical and non-technical teams to take on a variety of tasks including but not limited to mining data, building models, building dashboards, and conducting detailed analysis. The ideal candidate will have a analytical mindset, deep understanding of databases, visualization, and modeling techniques, and the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines. + + +Responsibilities: + +Understand the business requirements and processes around advanced analytics model execution. +Develop end-to-end data pipelines from ingestion to visual analytics with Python, SQL and Snowflake. +Experience on Matillion Studio is Preferred. +Good to have experience in Airflow. +Manage, enhance, maintain and support our Snowflake-based data lake. +Support our business intelligence developers to provide stunning visual analytics. +Develop, maintain and support our library of analytical functions written in Python, SQL and Snowflake. +Participate in our fast-paced, agile data iteration to deliver new capabilities in a timely manner. +Leverage key features of Snowflake for processing, entitlements, ingestion, transformation and data sharing. +Collaborate with data scientists, financial data analysts, software engineers and other data engineers to implement powerful solutions that leverage cloud, big data, NLP and ML. +Build machine learning models with advanced analytics techniques to extend our capabilities and deliver new business value. +Capture and present data-driven business insights. +Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. +Work closely with software engineering teams to drive real-time model implementations and new feature creations. +Leverage existing data sources, identify and mine data from new sources, identify opportunities for and execute primary data gathering efforts, and provide recommendations on scaling new methods more broadly. + + + +Requirements + + + + + + +University degree or equivalent in data analytics, statistics, math, or computer science, with a minimum of 3 years relevant experience. +Excellent knowledge of Python and SQL. +Experience in big data processing and the development of Python and SQL for large amounts of data. +Considerable experience with unit and integration testing. +Excellent analytical, storytelling, and problem-solving skills. +Ability to translate/communicate analytics recommendations to both technical and nontechnical team members. +Strong understanding of quantitative (univariate and multivariate) analysis techniques. +Experience with predictive modelling and machine learning. +Strong experience with statistical analytical techniques, data mining, machine learning, and predictive models using Python, R or similar tools +Experience using scripting language for collecting, organizing and manipulating data. +Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective + + + +Benefits + + +Competitive Salary +Healthcare Benefits Package +Career Growth +Show more ","
    + + + + + +
    +
    +

    Charger Logistics is a world class asset-based carrier. We specialize in delivering assets, on time and on budget. With the diverse fleet of equipment, we can handle a range of freight, including dedicated loads, specialized hauls, temperature-controlled goods and HAZMAT cargo.

    Charger logistics invests time and support into its employees to provide them with the room to learn and grow their expertise and work their way up. We are entrepreneurial-minded organization that welcomes and support individual idea and strategies.

    We are looking for a Data Engineer who would be a part of a high-powered, globally distributed team (Data Science & BI Engineering) that builds end-to-end data pipelines, develops complex analytical processes, and manages our central data lake for advanced analytics. The team also develops visual analytics with Tableau. The candidate will work cross-functionally with technical and non-technical teams to take on a variety of tasks including but not limited to mining data, building models, building dashboards, and conducting detailed analysis. The ideal candidate will have a analytical mindset, deep understanding of databases, visualization, and modeling techniques, and the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines.

    Responsibilities:

    • Understand the business requirements and processes around advanced analytics model execution.
    • Develop end-to-end data pipelines from ingestion to visual analytics with Python, SQL and Snowflake.
    • Experience on Matillion Studio is Preferred.
    • Good to have experience in Airflow.
    • Manage, enhance, maintain and support our Snowflake-based data lake.
    • Support our business intelligence developers to provide stunning visual analytics.
    • Develop, maintain and support our library of analytical functions written in Python, SQL and Snowflake.
    • Participate in our fast-paced, agile data iteration to deliver new capabilities in a timely manner.
    • Leverage key features of Snowflake for processing, entitlements, ingestion, transformation and data sharing.
    • Collaborate with data scientists, financial data analysts, software engineers and other data engineers to implement powerful solutions that leverage cloud, big data, NLP and ML.
    • Build machine learning models with advanced analytics techniques to extend our capabilities and deliver new business value.
    • Capture and present data-driven business insights.
    • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
    • Work closely with software engineering teams to drive real-time model implementations and new feature creations.
    • Leverage existing data sources, identify and mine data from new sources, identify opportunities for and execute primary data gathering efforts, and provide recommendations on scaling new methods more broadly.


    Requirements


    • University degree or equivalent in data analytics, statistics, math, or computer science, with a minimum of 3 years relevant experience.
    • Excellent knowledge of Python and SQL.
    • Experience in big data processing and the development of Python and SQL for large amounts of data.
    • Considerable experience with unit and integration testing.
    • Excellent analytical, storytelling, and problem-solving skills.
    • Ability to translate/communicate analytics recommendations to both technical and nontechnical team members.
    • Strong understanding of quantitative (univariate and multivariate) analysis techniques.
    • Experience with predictive modelling and machine learning.
    • Strong experience with statistical analytical techniques, data mining, machine learning, and predictive models using Python, R or similar tools
    • Experience using scripting language for collecting, organizing and manipulating data.
    • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective


    Benefits

    • Competitive Salary
    • Healthcare Benefits Package
    • Career Growth
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3980089801,https://ca.linkedin.com/jobs/view/senior-analyst-loyalty-insights-analytics-at-loblaw-companies-limited-3980089801?position=7&pageNum=10&refId=fTg41uLrioO8wSNATkSouA%3D%3D&trackingId=2iK0kxR3f4%2BHKU%2FmTLcrsg%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Analyst, Loyalty Insights & Analytics",Loblaw Companies Limited,"Brampton, Ontario, Canada","Referred applicants should not apply directly to this role. + +All referred applicants must first be submitted through Workday by a current Loblaw Colleague. + +Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®. + +At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong. + +What You'll Do: + + +Support the execution of loyalty campaigns at Loblaw +Work closely with finance to manage loyalty P&L and provide reporting and insights on variances vs forecast and plan +Provide thought leadership on loyalty offer strategy. Optimize loyalty investment to maximize incremental sales and profit +Deliver weekly reporting on loyalty campaign performance. Responsible for maintaining model to measure incremental sales for all loyalty promotions +Support marketing and digital teams on ad-hoc analysis and leverage customer data to deliver meaningful insights to drive business strategy +Synthesize large amounts of data from multiple sources, including customer transaction data, consumer & syndicated research, market share, and campaign results. Extrapolate and interpret appropriate information to deliver value add recommendations +Develop efficiencies though automation of new and existing processes including developing and maintaining dashboards + + +What You'll Need: + + +2-3 years related work experience in an analytical role. Experience ideally in Retail, CPG industry, Consumer Finance, or Telecommunications +Superb analytical and critical thinking capability; to not only manipulate massive, complex datasets, but also to derive meaningful interpretations & conclusions +Strong interpersonal skills and comfortable collaborating within cross functional team +Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines +Advanced knowledge of MS Excel and SQL +Basic knowledge of Python and Google Cloud Platform (GCP) is an asset +Basic knowledge of dashboard visualization tools (Microstrategy, Looker or equivalent) is an asset + + +Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People. + +If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team. + +We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities. + +Please Note: + +Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process. +Show more ","
    + + + + + +
    +
    + Referred applicants should not apply directly to this role.

    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

    Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.

    At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

    What You'll Do:

    • Support the execution of loyalty campaigns at Loblaw
    • Work closely with finance to manage loyalty P&L and provide reporting and insights on variances vs forecast and plan
    • Provide thought leadership on loyalty offer strategy. Optimize loyalty investment to maximize incremental sales and profit
    • Deliver weekly reporting on loyalty campaign performance. Responsible for maintaining model to measure incremental sales for all loyalty promotions
    • Support marketing and digital teams on ad-hoc analysis and leverage customer data to deliver meaningful insights to drive business strategy
    • Synthesize large amounts of data from multiple sources, including customer transaction data, consumer & syndicated research, market share, and campaign results. Extrapolate and interpret appropriate information to deliver value add recommendations
    • Develop efficiencies though automation of new and existing processes including developing and maintaining dashboards

    What You'll Need:

    • 2-3 years related work experience in an analytical role. Experience ideally in Retail, CPG industry, Consumer Finance, or Telecommunications
    • Superb analytical and critical thinking capability; to not only manipulate massive, complex datasets, but also to derive meaningful interpretations & conclusions
    • Strong interpersonal skills and comfortable collaborating within cross functional team
    • Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines
    • Advanced knowledge of MS Excel and SQL
    • Basic knowledge of Python and Google Cloud Platform (GCP) is an asset
    • Basic knowledge of dashboard visualization tools (Microstrategy, Looker or equivalent) is an asset

    Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

    If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

    We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.

    Please Note:

    Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-17,[] +3989477192,https://ca.linkedin.com/jobs/view/data-engineer-at-rbc-3989477192?position=9&pageNum=10&refId=fTg41uLrioO8wSNATkSouA%3D%3D&trackingId=FwqBCUXFgUTXtmWDbLKKXA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer,RBC,"Toronto, Ontario, Canada","Job Summary + +Job Description + +What is the Opportunity? + +As part of the GRM OR Analytics Team, you will partner with Operational Risk subject matter experts (SMEs) to use data-driven decision-making in monitoring and managing various aspects of risk. You will design and execute more efficient Data Engineering and DevOps processes, as well as work with (including but not limited to): GitHub, Jenkins, Spark, PySpark, SQL, and Tableau. You will also collaborate with a highly skilled team of Data Engineers and Data Analysts to further deliver value to the organization. + +What will you do? + + +Ingest and transform large-scale OR datasets to be used for computing key risk indicators (KRIs) and building OR models. +Design and optimize data pipelines for dashboarding and reporting +Work with numerous data sources across RBC to help Risk Managers monitor Operational Risk +Use GitHub, Airflow, Jenkins, Artifactory, and Spark to develop and deploy ETL/DAG +Create software artifacts and patterns for reuse within the team +Help improve data management processes towards acquiring, transforming, and storing data +Leverage DevOps practices to streamline and automate software delivery + + +What do you need to succeed? + +Must-have + + +3+ years of experience working with the Big Data Ecosystem (Hadoop, Spark, Hive) +Professional software development experience with Python, Spark, Linux, and SQL +Experience integrating codebases with Git, Jenkins, Artifactory, and similar tools +Experience using job scheduling tools (Airflow preferred) to manage ETLs +Bachelors in Computer Science, Software Engineering, or other STEM majors. Masters/Ph.D. considered an asset. + + +Nice-to-have + + +Experience with REST API and microservice frameworks +Experience working with containers (Docker, Kubernetes) +Experience working in an Agile team +Experience with dashboarding and reporting tools (Tableau) +Strong critical thinking and creative problem-solving skills +Strong communication skills both in written and verbal + + +What’s in it for you? + +We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. + + +A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable +Leaders who support your development through coaching and managing opportunities +Ability to make a difference and lasting impact +Work in a dynamic, collaborative, progressive, and high-performing team +A world-class training program in financial services +Flexible work/life balance options +Opportunities to do challenging work + + +#TechPJ + +Job Skills + +Apache Airflow, Apache Spark, Artifactory, Big Data Architecture, Big Data Management, Commercial Acumen, Containerization, Data Mining, Data Pipelines, Data Science, DevOps, GitHub, Jenkins Continuous Integration, Linux, Machine Learning, Predictive Analytics, Python (Programming Language), Structured Query Language (SQL), Tableau + +Additional Job Details + +Address: + +20 KING ST W:TORONTO + +City: + +TORONTO + +Country: + +Canada + +Work hours/week: + +37.5 + +Employment Type: + +Full time + +Platform: + +GROUP RISK MANAGEMENT + +Job Type: + +Regular + +Pay Type: + +Salaried + +Posted Date: + +2024-07-31 + +Application Deadline: + +2024-08-30 + +Inclusion and Equal Opportunity Employment + +At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities. + +We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process. + +Join our Talent Community + +Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. + +Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com + + +Show more ","
    + + + + + +
    +
    + Job Summary

    Job Description

    What is the Opportunity?

    As part of the GRM OR Analytics Team, you will partner with Operational Risk subject matter experts (SMEs) to use data-driven decision-making in monitoring and managing various aspects of risk. You will design and execute more efficient Data Engineering and DevOps processes, as well as work with (including but not limited to): GitHub, Jenkins, Spark, PySpark, SQL, and Tableau. You will also collaborate with a highly skilled team of Data Engineers and Data Analysts to further deliver value to the organization.

    What will you do?

    • Ingest and transform large-scale OR datasets to be used for computing key risk indicators (KRIs) and building OR models.
    • Design and optimize data pipelines for dashboarding and reporting
    • Work with numerous data sources across RBC to help Risk Managers monitor Operational Risk
    • Use GitHub, Airflow, Jenkins, Artifactory, and Spark to develop and deploy ETL/DAG
    • Create software artifacts and patterns for reuse within the team
    • Help improve data management processes towards acquiring, transforming, and storing data
    • Leverage DevOps practices to streamline and automate software delivery

    What do you need to succeed?

    Must-have

    • 3+ years of experience working with the Big Data Ecosystem (Hadoop, Spark, Hive)
    • Professional software development experience with Python, Spark, Linux, and SQL
    • Experience integrating codebases with Git, Jenkins, Artifactory, and similar tools
    • Experience using job scheduling tools (Airflow preferred) to manage ETLs
    • Bachelors in Computer Science, Software Engineering, or other STEM majors. Masters/Ph.D. considered an asset.

    Nice-to-have

    • Experience with REST API and microservice frameworks
    • Experience working with containers (Docker, Kubernetes)
    • Experience working in an Agile team
    • Experience with dashboarding and reporting tools (Tableau)
    • Strong critical thinking and creative problem-solving skills
    • Strong communication skills both in written and verbal

    What’s in it for you?

    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
    • Leaders who support your development through coaching and managing opportunities
    • Ability to make a difference and lasting impact
    • Work in a dynamic, collaborative, progressive, and high-performing team
    • A world-class training program in financial services
    • Flexible work/life balance options
    • Opportunities to do challenging work

    #TechPJ

    Job Skills

    Apache Airflow, Apache Spark, Artifactory, Big Data Architecture, Big Data Management, Commercial Acumen, Containerization, Data Mining, Data Pipelines, Data Science, DevOps, GitHub, Jenkins Continuous Integration, Linux, Machine Learning, Predictive Analytics, Python (Programming Language), Structured Query Language (SQL), Tableau

    Additional Job Details

    Address:

    20 KING ST W:TORONTO

    City:

    TORONTO

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    GROUP RISK MANAGEMENT

    Job Type:

    Regular

    Pay Type:

    Salaried

    Posted Date:

    2024-07-31

    Application Deadline:

    2024-08-30

    Inclusion and Equal Opportunity Employment

    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

    Join our Talent Community

    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com</a/span>

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4007878063,https://ca.linkedin.com/jobs/view/senior-data-analyst-member-services-and-innovation-at-ciro-ocri-4007878063?position=10&pageNum=10&refId=fTg41uLrioO8wSNATkSouA%3D%3D&trackingId=brf%2FA7z1Hy1mpO%2BsQ7ZIrQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Data Analyst, Member Services and Innovation",CIRO / OCRI,"Toronto, Ontario, Canada","Position title: Senior Data Analyst, Member Services and Innovation + +Department: Member Services and Innovation + +Region: Toronto + +Status: Permanent, Full-time (Hybrid) + +Day in the life of + +The Senior Data Analyst, Member Services and Innovation reports to the Director, Member Services and Innovation and is responsible for managing the communication channels between CIRO and its Members, including managing the industry-related data for the organization. + +Core Responsibilities: + + +Manage and maintain member data reporting systems to generate insights and support decision-making +Coordinate the collection of data from various sources and departments within the organization. +Prepare plans and document processes to streamline member data collection, storage, and analysis for reporting purposes. +Manage and maintain the members-only site and other communication channels with Members +Collaborate with IT and business units to integrate systems and databases for seamless data flow +Conduct data analysis to identify trends, patterns, and opportunities for improvement. +Create and deliver reports, dashboards, and visualizations to communicate data findings. +Build training modules and educate team members on optimal use of newly developed processes +Support Member Services and Innovations, as needed, on key strategic projects and initiatives + + + +Skills and Competencies: + +Must-Haves + + +Bachelor's degree in the relevant fields (Computer Science, Engineering, Statistics, Math, Information Management, Information Technology, Business Analytics) or relevant experience that heavily emphasize on analytical skills +Proven experience in data management, analysis, or business intelligence, with a minimum of 5 years in a similar role +Knowledge of data management principles, practices, and technologies +Project management skills to lead data centralization initiatives and deliver results, and to coordinate data collection and reporting initiatives +Analytical mindset to make data-driven decisions with a good instinct on data and metrics +Experience extracting and manipulating data using SQL from relational databases/warehouses (e.g., Microsoft SQL Server, Microsoft Access) as well as working with large scale datasets. +Must have experience coding in programming language such as Python, JAVA, MATLAB, R for quantitative analysis or data mining. Expert in MS Excel, experience using Microsoft CRM and Office 365 +Communication skills to collaborate with cross-functional teams and convey technical information to non-technical stakeholders +Data analysis skills to extract insights and trends from complex datasets through visualization tools such as Microsoft Power BI +Problem-solving skills to address data quality issues and optimize data processes + + + +Nice-to-Haves + + +Knowledge in blockchain technologies, platform development, tokenomics and consensus algorithms +Master’s degree in the relevant fields (Computer Science, Engineering, Statistics, Math, Information Management, Information Technology, Business Analytics) +Experience managing or coordinating IT projects, including software development, infrastructure upgrades, and system implementations +Experience in compliance, operational or other related investment industry experience +Bilingualism in English and French + + + +What we offer: + + +Competitive base salary in alignment with market +Performance based bonus +Hybrid work environment +Employer paid Health Benefits and Spending Account that offer flexibility to meet your individual or family needs as of day one. +Defined Contribution Pension Plan with company matching that starts on your first day of employment. +Paid flex days and sick days +Vacation days +Maternity Leave Of Absence /Paternity Leave Of Absence top up +Paid continuous learning and continuing development including designations. + + + +Why the Canadian Investment Regulatory Organization (CIRO): + +Our purpose and our impact + +With offices across Canada - from Vancouver to Montreal, our mission is to promote healthy capital markets by regulating fairly and effectively so that investors are protected and confident investing in their futures. As a regulator, we understand that we are all investors. Therefore, a career with us is a career with purpose, protecting our future. Our mission is to serve Canadians by overseeing investment and mutual fund dealers as well as trading activity on Canada’s marketplaces to ensure safe and equitable trading and investments. As regulators, we understand that we are all investors, and therefore a career with us is a career with purpose protecting our future. + +Culture and Working Environment + +Life at CIRO is purpose and performance- driven. We foster an inclusive culture where teamwork, a forward-thinking attitude, and integrity are at the core of everything we do. This creates an environment where employees thrive, grow, and are empowered to learn and contribute their best. + +Joining CIRO means becoming part of a dynamic and transparent organization that values accountability and is committed to maintaining the highest standards of regulatory oversight in the financial industry. + +Looking for a career where you can safeguard the integrity of Canadian markets? Join CIRO and be part of the team that secures our financial future. + +Our Commitment: + +CIRO is an equal opportunity employer and is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act, 2005 (AODA). CIRO will provide accommodation to job applicants with disabilities throughout the recruitment process. Should you require accommodation, please contact Human Resources. + +While we appreciate receiving applications, only those applicants who closely meet the position requirements will be contacted. + +#hiring + + +Show more ","
    + + + + + +
    +
    + Position title: Senior Data Analyst, Member Services and Innovation

    Department: Member Services and Innovation

    Region: Toronto

    Status: Permanent, Full-time (Hybrid)

    Day in the life of

    The Senior Data Analyst, Member Services and Innovation reports to the Director, Member Services and Innovation and is responsible for managing the communication channels between CIRO and its Members, including managing the industry-related data for the organization.

    Core Responsibilities:

    • Manage and maintain member data reporting systems to generate insights and support decision-making
    • Coordinate the collection of data from various sources and departments within the organization.
    • Prepare plans and document processes to streamline member data collection, storage, and analysis for reporting purposes.
    • Manage and maintain the members-only site and other communication channels with Members
    • Collaborate with IT and business units to integrate systems and databases for seamless data flow
    • Conduct data analysis to identify trends, patterns, and opportunities for improvement.
    • Create and deliver reports, dashboards, and visualizations to communicate data findings.
    • Build training modules and educate team members on optimal use of newly developed processes
    • Support Member Services and Innovations, as needed, on key strategic projects and initiatives


    Skills and Competencies:

    Must-Haves

    • Bachelor's degree in the relevant fields (Computer Science, Engineering, Statistics, Math, Information Management, Information Technology, Business Analytics) or relevant experience that heavily emphasize on analytical skills
    • Proven experience in data management, analysis, or business intelligence, with a minimum of 5 years in a similar role
    • Knowledge of data management principles, practices, and technologies
    • Project management skills to lead data centralization initiatives and deliver results, and to coordinate data collection and reporting initiatives
    • Analytical mindset to make data-driven decisions with a good instinct on data and metrics
    • Experience extracting and manipulating data using SQL from relational databases/warehouses (e.g., Microsoft SQL Server, Microsoft Access) as well as working with large scale datasets.
    • Must have experience coding in programming language such as Python, JAVA, MATLAB, R for quantitative analysis or data mining. Expert in MS Excel, experience using Microsoft CRM and Office 365
    • Communication skills to collaborate with cross-functional teams and convey technical information to non-technical stakeholders
    • Data analysis skills to extract insights and trends from complex datasets through visualization tools such as Microsoft Power BI
    • Problem-solving skills to address data quality issues and optimize data processes


    Nice-to-Haves

    • Knowledge in blockchain technologies, platform development, tokenomics and consensus algorithms
    • Master’s degree in the relevant fields (Computer Science, Engineering, Statistics, Math, Information Management, Information Technology, Business Analytics)
    • Experience managing or coordinating IT projects, including software development, infrastructure upgrades, and system implementations
    • Experience in compliance, operational or other related investment industry experience
    • Bilingualism in English and French


    What we offer:

    • Competitive base salary in alignment with market
    • Performance based bonus
    • Hybrid work environment
    • Employer paid Health Benefits and Spending Account that offer flexibility to meet your individual or family needs as of day one.
    • Defined Contribution Pension Plan with company matching that starts on your first day of employment.
    • Paid flex days and sick days
    • Vacation days
    • Maternity Leave Of Absence /Paternity Leave Of Absence top up
    • Paid continuous learning and continuing development including designations.


    Why the Canadian Investment Regulatory Organization (CIRO):

    Our purpose and our impact

    With offices across Canada - from Vancouver to Montreal, our mission is to promote healthy capital markets by regulating fairly and effectively so that investors are protected and confident investing in their futures. As a regulator, we understand that we are all investors. Therefore, a career with us is a career with purpose, protecting our future. Our mission is to serve Canadians by overseeing investment and mutual fund dealers as well as trading activity on Canada’s marketplaces to ensure safe and equitable trading and investments. As regulators, we understand that we are all investors, and therefore a career with us is a career with purpose protecting our future.

    Culture and Working Environment

    Life at CIRO is purpose and performance- driven. We foster an inclusive culture where teamwork, a forward-thinking attitude, and integrity are at the core of everything we do. This creates an environment where employees thrive, grow, and are empowered to learn and contribute their best.

    Joining CIRO means becoming part of a dynamic and transparent organization that values accountability and is committed to maintaining the highest standards of regulatory oversight in the financial industry.

    Looking for a career where you can safeguard the integrity of Canadian markets? Join CIRO and be part of the team that secures our financial future.

    Our Commitment:

    CIRO is an equal opportunity employer and is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act, 2005 (AODA). CIRO will provide accommodation to job applicants with disabilities throughout the recruitment process. Should you require accommodation, please contact Human Resources.

    While we appreciate receiving applications, only those applicants who closely meet the position requirements will be contacted.

    #hiring

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] diff --git a/data/data_scientist_20240825.csv b/data/data_scientist_20240825.csv new file mode 100644 index 0000000..2fd1f25 --- /dev/null +++ b/data/data_scientist_20240825.csv @@ -0,0 +1,12096 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +4002107056,https://uk.linkedin.com/jobs/view/data-scientist-at-government-office-for-science-4002107056?position=1&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=uWQ7OsJb4b%2FHddMWqrfMdg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Government Office for Science,"London, England, United Kingdom","This data scientist role sits within our Technology Insights, Futures and Foresight (TIFF) team. Our team is diverse, inclusive and focused on individual wellbeing. We are proud to support lots of different working patterns, locations and learning and development activity. We are a multidisciplinary team of analysts, data scientists, scientists, economists, and policy professionals. + +The team's purpose is to provide high quality, independent evidence to inform strategic decisions on science and technology. We undertake horizon scanning for new technologies and international comparisons to understand the UK's relative areas of strength and weakness in science and technology. We work with a wide range of data and information sources including academic publication records, patents, financial and national security information. + +This Data Scientist role sits within the Science Capability Analysis (SCAN) team within TIFF. The SCAN team seeks to identify the areas of benign neglect in the UK S&T landscape. As an example, a Covid-19 vaccine was created in the UK but there was no manufacturing capability. This issue was likely known to those in industry but not considered as part of a set of risks. Combining analysis of a wide range of data and information, you will work collaboratively to develop a register of issues in S&T capability areas requiring government-led or -initiated intervention, and produce assessments, reports and data on these issues to inform policy decisions. These assessments will help Government understand new and emerging risks and opportunities, and support strategic decision making within the National Science and Technology Council (NSTC), the Office for Science and Technology Strategy (OSTS) and other departments across government. + +We are fully committed to being an inclusive employer and ensuring equal opportunities. We are keen to make our workforce as diverse as possible and recognise how important inclusivity is to achieve the best outcomes. We hope to attract applications from all underrepresented groups. +Show more ","
    + + + + + +
    +
    + This data scientist role sits within our Technology Insights, Futures and Foresight (TIFF) team. Our team is diverse, inclusive and focused on individual wellbeing. We are proud to support lots of different working patterns, locations and learning and development activity. We are a multidisciplinary team of analysts, data scientists, scientists, economists, and policy professionals.

    The team's purpose is to provide high quality, independent evidence to inform strategic decisions on science and technology. We undertake horizon scanning for new technologies and international comparisons to understand the UK's relative areas of strength and weakness in science and technology. We work with a wide range of data and information sources including academic publication records, patents, financial and national security information.

    This Data Scientist role sits within the Science Capability Analysis (SCAN) team within TIFF. The SCAN team seeks to identify the areas of benign neglect in the UK S&T landscape. As an example, a Covid-19 vaccine was created in the UK but there was no manufacturing capability. This issue was likely known to those in industry but not considered as part of a set of risks. Combining analysis of a wide range of data and information, you will work collaboratively to develop a register of issues in S&T capability areas requiring government-led or -initiated intervention, and produce assessments, reports and data on these issues to inform policy decisions. These assessments will help Government understand new and emerging risks and opportunities, and support strategic decision making within the National Science and Technology Council (NSTC), the Office for Science and Technology Strategy (OSTS) and other departments across government.

    We are fully committed to being an inclusive employer and ensuring equal opportunities. We are keen to make our workforce as diverse as possible and recognise how important inclusivity is to achieve the best outcomes. We hope to attract applications from all underrepresented groups. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3992336108,https://uk.linkedin.com/jobs/view/junior-data-scientist-at-bip-uk-3992336108?position=2&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=Q8yjN0KbdcqMgYpjwTu9IQ%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Scientist,BIP UK,"Greater London, England, United Kingdom","About the job + + + + + + + +BIP is the international consultancy for the 21st century with over 5,000 consultants globally daring to make a difference. + + + + +Operating at the intersection of business and technology, we design, develop, and deliver sustainable solutions at pace and scale, creating greater value for customers, employees, shareholders and society. + + + + +As a Certified B Corporation, we believe in conducting business for the greater good. We embrace all aspects of corporate social responsibility in a way that permeates everything we do, including not only the way we interact with our own people but with our various communities as well as the environment. + + + + +BIP. Here To Dare. + + + + +About the role + + + + +Working hand in hand with our Business Consultants and Data Architects, you will help delivering the finest offerings for analytics, data science and machine learning. + + + + +Your Data Scientist role as member of the xTech Centre of Excellence at BIP will involve: + + + + +Supporting customers to understand how to improve their businesses using the right AI offerings. +Listening and identifying the client's requirements. +Delivering projects based on our data science offerings. +Interact with software developers and architects internally as part of our global xTech community, with client suppliers and staff +Combine strategic and analytical thinking in relation to business, product, and technical challenges, with the ability to build and convey compelling value propositions. + + + + +This role is a Hybrid role, the successful person will need to be flexible to travel to client sites as required and have the ability to travel to London 1-2 times per month for team and company events. + + + + + + + +Requirements: + + + + +Bip UK are a disability confident employer, and we interview every disabled applicant (As defined in the Equality Act 2010) that meets the minimum criteria for the job: + + + + +Basic understanding of Data Science and light data development skills—you will need to be able to deliver technical content and at the same time bridge that technical knowledge with business discussions in non-jargon language. +Basic experience in a Data Analytics role (Data Science, Data Analytics or ML). + + + + + + + +Additional requirements + + + + + + + +Quantitative degree (i.e., Maths, Statistics, Physics, Engineering or Data Science). +A can-do attitude that always puts the customers first and helps gain the position of Trusted Advisor. +Experience working with Agile frameworks is considered a plus. +Experience in Data Visualisation and Data engineering is considered a plus. +Proven experience working with customer data & personalisation +An understanding of and experience with machine learning techniques is considered a plus. +Ability to communicate complex concepts to a broad range of audiences in a simple way +Entrepreneurial spirit & proactiveness + + + + + + + +Benefits: + + + + +Hybrid working options with monthly budgets for NearU for local office day booking and team meetings. +Bip UK recognises and values its diversity and is committed to offering family-friendly employment policies including enhanced maternity and paternity pay +A diverse and skilled workforce within a collaborative, team-based environment +Profit share and discretionary performance bonus based on personal performance +Comprehensive private medical for staff + Medicash top up plan (option to include dependants) +Employer contribution pension of 6% +25 days annual leave, plus bank holidays and a volunteering day. Also buy up to 5 additional days holiday or sell up to 3 days per year. +Employee Assistance Programme. Company paid 24x7 helpline, online portal and confidential counselling to support staff with any work and / or personal issues +Corporate discounted benefits such as gym and health assessment +Death in service/Life insurance +Eyecare Voucher +Lifestyle change Gift Voucher +Long service reward +Recruitment referral bonus paid for successful referrals +Training and development opportunities to support your career and personal development + + + + +*Note the above contains current benefit offerings - these are kept under review and are subject to change or enhancement. + + + + +Real world, real work, and real value, that’s the Bip UK commitment on every transformation we do. We deliver good-sense, human-centred strategies, that produce the results. We understand the possibilities can seem endless. Challenges are complex, technology ever evolving, and business goals pressurised and diverse. + + + + +Bip UK believes in conducting business for the greater good. We embrace all aspects of corporate social responsibility in a way that permeates everything we do, including not only the way we interact with our own people but with our various communities as well as the environment + +Show more ","
    + + + + + +
    +
    +

    About the job



    BIP is the international consultancy for the 21st century with over 5,000 consultants globally daring to make a difference.


    Operating at the intersection of business and technology, we design, develop, and deliver sustainable solutions at pace and scale, creating greater value for customers, employees, shareholders and society.


    As a Certified B Corporation, we believe in conducting business for the greater good. We embrace all aspects of corporate social responsibility in a way that permeates everything we do, including not only the way we interact with our own people but with our various communities as well as the environment.


    BIP. Here To Dare.


    About the role


    Working hand in hand with our Business Consultants and Data Architects, you will help delivering the finest offerings for analytics, data science and machine learning.


    Your Data Scientist role as member of the xTech Centre of Excellence at BIP will involve:


    • Supporting customers to understand how to improve their businesses using the right AI offerings.
    • Listening and identifying the client's requirements.
    • Delivering projects based on our data science offerings.
    • Interact with software developers and architects internally as part of our global xTech community, with client suppliers and staff
    • Combine strategic and analytical thinking in relation to business, product, and technical challenges, with the ability to build and convey compelling value propositions.


    This role is a Hybrid role, the successful person will need to be flexible to travel to client sites as required and have the ability to travel to London 1-2 times per month for team and company events.



    Requirements:


    Bip UK are a disability confident employer, and we interview every disabled applicant (As defined in the Equality Act 2010) that meets the minimum criteria for the job:


    • Basic understanding of Data Science and light data development skills—you will need to be able to deliver technical content and at the same time bridge that technical knowledge with business discussions in non-jargon language.
    • Basic experience in a Data Analytics role (Data Science, Data Analytics or ML).



    Additional requirements



    • Quantitative degree (i.e., Maths, Statistics, Physics, Engineering or Data Science).
    • A can-do attitude that always puts the customers first and helps gain the position of Trusted Advisor.
    • Experience working with Agile frameworks is considered a plus.
    • Experience in Data Visualisation and Data engineering is considered a plus.
    • Proven experience working with customer data & personalisation
    • An understanding of and experience with machine learning techniques is considered a plus.
    • Ability to communicate complex concepts to a broad range of audiences in a simple way
    • Entrepreneurial spirit & proactiveness



    Benefits:


    • Hybrid working options with monthly budgets for NearU for local office day booking and team meetings.
    • Bip UK recognises and values its diversity and is committed to offering family-friendly employment policies including enhanced maternity and paternity pay
    • A diverse and skilled workforce within a collaborative, team-based environment
    • Profit share and discretionary performance bonus based on personal performance
    • Comprehensive private medical for staff + Medicash top up plan (option to include dependants)
    • Employer contribution pension of 6%
    • 25 days annual leave, plus bank holidays and a volunteering day. Also buy up to 5 additional days holiday or sell up to 3 days per year.
    • Employee Assistance Programme. Company paid 24x7 helpline, online portal and confidential counselling to support staff with any work and / or personal issues
    • Corporate discounted benefits such as gym and health assessment
    • Death in service/Life insurance
    • Eyecare Voucher
    • Lifestyle change Gift Voucher
    • Long service reward
    • Recruitment referral bonus paid for successful referrals
    • Training and development opportunities to support your career and personal development


    *Note the above contains current benefit offerings - these are kept under review and are subject to change or enhancement.


    Real world, real work, and real value, that’s the Bip UK commitment on every transformation we do. We deliver good-sense, human-centred strategies, that produce the results. We understand the possibilities can seem endless. Challenges are complex, technology ever evolving, and business goals pressurised and diverse.


    Bip UK believes in conducting business for the greater good. We embrace all aspects of corporate social responsibility in a way that permeates everything we do, including not only the way we interact with our own people but with our various communities as well as the environment

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3999764599,https://uk.linkedin.com/jobs/view/data-scientist-at-career-renew-3999764599?position=3&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=v9xVjiQnxyJBVFGTTs2MeA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Career Renew,"London, England, United Kingdom","Career Renew is recruiting for one of its clients a Data Scientist - candidates need to be able to work in the London office 2+ times a week. + +We are a pioneering platform that enables anyone to create a coin without needing to seed liquidity, making deployment as cheap as $2. Launched in January, the platform has quickly become the home of memecoin creation and trading on Solana, and by extension, the entire crypto space. The platform has generated over $80 million in revenue in less than 6 months - attracting significant attention in the crypto community. + +Are you looking to join an innovative crypto startup disrupting the space through memecoins? Come and join us as we build out the next stage of our ambitious roadmap. + +We are in search of a high-performing Data Scientist who is passionate about extracting meaningful insights from complex data sets. This individual will play an integral role in helping us understand our growing data, which will directly influence our strategic decisions. The ideal candidate is nifty, detail-oriented, and has a keen interest in exploring and unraveling complex data trends. Familiarity with the world of cryptocurrencies is a plus, but not a requirement. + +Responsibilities: + + +Data Analysis +Lead and run data collection efforts +Conduct full life cycle analysis, including requirements, activities, and design +Analyze and interpret complex data sets, and convert them into insights that can support business decisions +Monitor performance and quality control plans to identify improvements +Use predictive modeling to enhance consumer understanding, customer segmentation, advertising targeting, and other business outcomes +Communication +Collaborate and communicate with different departments to understand data needs +Use graphs and data visualizations effectively to present data findings to technical and non-technical audiences +Strategy +Strategize and execute database queries +Implement systems and strategies to translate raw data into valuable business insights +Advise on establishing benchmarks and metrics + + +Requirements + +Very strong exp with python + sql + +Academic qualifications at PhD level OR previous experience as a data scientist at a FAANG level company + +Must have work exp in crypto or be interested in the space + +Can work in person in London 2+ times a week + +Benefits + + +Competitive salary +Negotiable equity opportunities +Show more ","
    + + + + + +
    +
    + Career Renew is recruiting for one of its clients a Data Scientist - candidates need to be able to work in the London office 2+ times a week.

    We are a pioneering platform that enables anyone to create a coin without needing to seed liquidity, making deployment as cheap as $2. Launched in January, the platform has quickly become the home of memecoin creation and trading on Solana, and by extension, the entire crypto space. The platform has generated over $80 million in revenue in less than 6 months - attracting significant attention in the crypto community.

    Are you looking to join an innovative crypto startup disrupting the space through memecoins? Come and join us as we build out the next stage of our ambitious roadmap.

    We are in search of a high-performing Data Scientist who is passionate about extracting meaningful insights from complex data sets. This individual will play an integral role in helping us understand our growing data, which will directly influence our strategic decisions. The ideal candidate is nifty, detail-oriented, and has a keen interest in exploring and unraveling complex data trends. Familiarity with the world of cryptocurrencies is a plus, but not a requirement.

    Responsibilities:

    • Data Analysis
      • Lead and run data collection efforts
      • Conduct full life cycle analysis, including requirements, activities, and design
      • Analyze and interpret complex data sets, and convert them into insights that can support business decisions
      • Monitor performance and quality control plans to identify improvements
      • Use predictive modeling to enhance consumer understanding, customer segmentation, advertising targeting, and other business outcomes
    • Communication
      • Collaborate and communicate with different departments to understand data needs
      • Use graphs and data visualizations effectively to present data findings to technical and non-technical audiences
    • Strategy
      • Strategize and execute database queries
      • Implement systems and strategies to translate raw data into valuable business insights
      • Advise on establishing benchmarks and metrics

    Requirements

    Very strong exp with python + sql

    Academic qualifications at PhD level OR previous experience as a data scientist at a FAANG level company

    Must have work exp in crypto or be interested in the space

    Can work in person in London 2+ times a week

    Benefits

    • Competitive salary
    • Negotiable equity opportunities
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +4002930896,https://uk.linkedin.com/jobs/view/junior-data-scientist-at-intellect-group-4002930896?position=5&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=TYeBzHbeJWrl%2FuA6b7fS%2Bw%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Scientist,Intellect Group,"London Area, United Kingdom","Role: Junior Data Scientist + +Location: London, UK (Hybrid) + +Salary: £30k-£45k (DOE) + + + + +Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. + + + + +My client is looking for a Junior Data Scientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. + + + + +Your Responsibilities: + +Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. +Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. +Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. +Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals. +Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. + + + + +Requirements: + +Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. +Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. +Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. +Experience with data visualization tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. +Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences. + + + + +It's A Bonus If You Have: + +Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus. +Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. +Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. + + + + +The Benefits: + +Growth opportunities: Be part of a fast-growing company with ample opportunities for career advancement. +Innovative work environment: Work with a team that values creativity, collaboration, and continuous learning. +Cutting-edge tools and technologies: Access to the latest data science tools to help you excel in your role. +Competitive compensation: A salary that reflects your skills and experience, along with performance-based bonuses. + + + + +If you’re a motivated Junior Data Scientist with a passion for finance and data-driven decision-making, we want to hear from you. Apply now to join our team and be part of shaping the future of the finance industry. + +Show more ","
    + + + + + +
    +
    +

    Role: Junior Data Scientist

    Location: London, UK (Hybrid)

    Salary: £30k-£45k (DOE)


    Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability.


    My client is looking for a Junior Data Scientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions.


    Your Responsibilities:

    • Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions.
    • Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes.
    • Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company.
    • Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals.
    • Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders.


    Requirements:

    • Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields.
    • Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling.
    • Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting.
    • Experience with data visualization tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively.
    • Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences.


    It's A Bonus If You Have:

    • Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus.
    • Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance.
    • Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions.


    The Benefits:

    • Growth opportunities: Be part of a fast-growing company with ample opportunities for career advancement.
    • Innovative work environment: Work with a team that values creativity, collaboration, and continuous learning.
    • Cutting-edge tools and technologies: Access to the latest data science tools to help you excel in your role.
    • Competitive compensation: A salary that reflects your skills and experience, along with performance-based bonuses.


    If you’re a motivated Junior Data Scientist with a passion for finance and data-driven decision-making, we want to hear from you. Apply now to join our team and be part of shaping the future of the finance industry.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3935259647,https://uk.linkedin.com/jobs/view/data-scientist-product-analytics-at-meta-3935259647?position=7&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=WOjyzNBudF3Mvq6kuab9Jg%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Product Analytics",Meta,"London, England, United Kingdom","As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. + +Data Scientist, Product Analytics Responsibilities: + + +Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. +Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. +Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. +Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. +Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. + + +Minimum Qualifications: + + +A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.). +Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. +Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R). + + +Preferred Qualifications: + + +Masters or Ph.D. Degree in a quantitative field. + + +About Meta: + +Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. + +Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +Show more ","
    + + + + + +
    +
    + As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

    Data Scientist, Product Analytics Responsibilities:

    • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
    • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
    • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
    • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
    • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

    Minimum Qualifications:

    • A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.).
    • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
    • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).

    Preferred Qualifications:

    • Masters or Ph.D. Degree in a quantitative field.

    About Meta:

    Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

    Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-24,[] +3996825445,https://uk.linkedin.com/jobs/view/data-scientist-optimisation-at-gousto-3996825445?position=10&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=klEZ8EtxMAKSO%2BoqrNjBhA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Optimisation,Gousto,"London, England, United Kingdom","Company Description + +Here at Gousto, we are on a mission to become the UK's most loved way to eat dinner, and for every meal to leave the planet better off. Gousto is changing how people shop, cook and eat food at home. It’s an incredibly exciting time to join our team - and we’re a friendly bunch! + +We’re proud to be one of the fastest-growing companies in the UK. Powered by data and a love of food, we’re a recipe box company that’s disrupting the sector, and we’re passionate about our diverse team and our customers. + +All of our people are responsible for the success of Gousto, and we’re passionate about creating an inclusive environment for all to thrive. Our guiding values - Dream, Deliver and Care - show our commitment to innovation, our ambition to hit goals at speed, and our deep respect for the people we work with. + +Job Description + +Location: Hybrid, London office presence required + +Our Data Scientists are embedded in squads, which own multiple data products that have been in production use for several years. These teams currently comprise several Software Engineers, Data Scientists, Data Analysts, and Product Managers, so while you will need to be comfortable working in relative autonomy on your own tasks, you will also receive the guidance of experienced colleagues. + +For this role you will be the only Data Scientist within your squad. Whilst support from Data Scientists from other squads will be readily available, you need to be comfortable owning your own Data Science products and working independently. You will interact with a broad range of stakeholders to understand where the biggest challenges are in our operations to inform the team’s priorities. More specifically, these roles will be part of the tribes that focus on accurately supplying the freshest ingredients and ensuring the satisfaction of our customers. + +We seek a highly motivated individual who aligns with our vision and possesses a strong commitment to delivering excellent outcomes for our customers. The perfect candidate will bring expertise in optimisation models and will demonstrate enthusiasm for tackling production challenges. Above all, we value an innate drive for innovation. + +What you’ll do: + + +Developing and maintaining optimisation models for our inventory management and order fulfilment processes +Reporting back to the wider team on the status of our models to keep them updated on progress and to escalate any blockers +Understanding the needs of the stakeholders and being able to come up with creative solutions to satisfy their requirements +Helping to educate the wider team, including senior stakeholders on the value of optimisation +Bringing new ideas and perspectives to build the future of our capability +Maintaining strong stakeholder relationships +Working independently and as part of a multi-disciplinary team +Connecting and collaborating effectively with Software Engineers, Data Analysts, Product Managers, and other functions + + + +Who you are: + + +You are proficient in building optimisation models leveraging optimisation techniques such as linear programming or metaheuristics +You have a practical approach to problem-solving, always striving for impact +You have a decent amount of experience with a range of Data Science tools and statistical techniques (regressions, clustering, decision trees) and an understanding of their real-world advantages and drawbacks +You are proficient in coding in Python and have experience with version control +You distil complex problems into simple pieces and have excellent verbal and written communication skills +You thrive in a fast-paced, high-growth, technology-focused organisation +You are comfortable working independently as a Data Scientist and also as part of a multidisciplinary team + + + +Nice to haves: + + +You have an understanding of industrial and operations processes +You are familiar with optimisation packages (OR-tools, Pulp, CPLEX, Gurobi or similar) +You can run queries and are comfortable studying metrics & KPIs to measure real-world phenomena +You have experience working with the full product life cycle (experimentation, training, testing, monitoring, and deployment) +You have experience running scenarios to test and validate alternative hypotheses +You are curious, with a strong desire to learn new techniques & technologies + + + +Additional Information + +Click here to see our company benefits! + +Equal Opportunities + +Here at Gousto, we are on a mission to become the UK's most loved way to eat dinner! + +Whether it is creating diversity in our recipes or building new teams, we care about our people and the opportunities they have at Gousto. + +We are committed to equality of opportunity across our organisation. At all levels we promote equality, ensuring our people are consistently treated in a fair and equal manner. + +If you need reasonable adjustments at any point in the application or interview process, please let us know. + +In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). + +If you like what you’ve read about Gousto and want to find out more please click I’m interested below to apply! + +Curious to learn more about Gousto Tech? Visit our TechBrunch blog. + + +Show more ","
    + + + + + +
    +
    + Company Description

    Here at Gousto, we are on a mission to become the UK's most loved way to eat dinner, and for every meal to leave the planet better off. Gousto is changing how people shop, cook and eat food at home. It’s an incredibly exciting time to join our team - and we’re a friendly bunch!

    We’re proud to be one of the fastest-growing companies in the UK. Powered by data and a love of food, we’re a recipe box company that’s disrupting the sector, and we’re passionate about our diverse team and our customers.

    All of our people are responsible for the success of Gousto, and we’re passionate about creating an inclusive environment for all to thrive. Our guiding values - Dream, Deliver and Care - show our commitment to innovation, our ambition to hit goals at speed, and our deep respect for the people we work with.

    Job Description

    Location: Hybrid, London office presence required

    Our Data Scientists are embedded in squads, which own multiple data products that have been in production use for several years. These teams currently comprise several Software Engineers, Data Scientists, Data Analysts, and Product Managers, so while you will need to be comfortable working in relative autonomy on your own tasks, you will also receive the guidance of experienced colleagues.

    For this role you will be the only Data Scientist within your squad. Whilst support from Data Scientists from other squads will be readily available, you need to be comfortable owning your own Data Science products and working independently. You will interact with a broad range of stakeholders to understand where the biggest challenges are in our operations to inform the team’s priorities. More specifically, these roles will be part of the tribes that focus on accurately supplying the freshest ingredients and ensuring the satisfaction of our customers.

    We seek a highly motivated individual who aligns with our vision and possesses a strong commitment to delivering excellent outcomes for our customers. The perfect candidate will bring expertise in optimisation models and will demonstrate enthusiasm for tackling production challenges. Above all, we value an innate drive for innovation.

    What you’ll do:

    • Developing and maintaining optimisation models for our inventory management and order fulfilment processes
    • Reporting back to the wider team on the status of our models to keep them updated on progress and to escalate any blockers
    • Understanding the needs of the stakeholders and being able to come up with creative solutions to satisfy their requirements
    • Helping to educate the wider team, including senior stakeholders on the value of optimisation
    • Bringing new ideas and perspectives to build the future of our capability
    • Maintaining strong stakeholder relationships
    • Working independently and as part of a multi-disciplinary team
    • Connecting and collaborating effectively with Software Engineers, Data Analysts, Product Managers, and other functions


    Who you are:

    • You are proficient in building optimisation models leveraging optimisation techniques such as linear programming or metaheuristics
    • You have a practical approach to problem-solving, always striving for impact
    • You have a decent amount of experience with a range of Data Science tools and statistical techniques (regressions, clustering, decision trees) and an understanding of their real-world advantages and drawbacks
    • You are proficient in coding in Python and have experience with version control
    • You distil complex problems into simple pieces and have excellent verbal and written communication skills
    • You thrive in a fast-paced, high-growth, technology-focused organisation
    • You are comfortable working independently as a Data Scientist and also as part of a multidisciplinary team


    Nice to haves:

    • You have an understanding of industrial and operations processes
    • You are familiar with optimisation packages (OR-tools, Pulp, CPLEX, Gurobi or similar)
    • You can run queries and are comfortable studying metrics & KPIs to measure real-world phenomena
    • You have experience working with the full product life cycle (experimentation, training, testing, monitoring, and deployment)
    • You have experience running scenarios to test and validate alternative hypotheses
    • You are curious, with a strong desire to learn new techniques & technologies


    Additional Information

    Click here to see our company benefits!

    Equal Opportunities

    Here at Gousto, we are on a mission to become the UK's most loved way to eat dinner!

    Whether it is creating diversity in our recipes or building new teams, we care about our people and the opportunities they have at Gousto.

    We are committed to equality of opportunity across our organisation. At all levels we promote equality, ensuring our people are consistently treated in a fair and equal manner.

    If you need reasonable adjustments at any point in the application or interview process, please let us know.

    In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).

    If you like what you’ve read about Gousto and want to find out more please click I’m interested below to apply!

    Curious to learn more about Gousto Tech? Visit our TechBrunch blog.

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    ",2024-08-09,[] +3994588408,https://uk.linkedin.com/jobs/view/data-scientist-at-deliveroo-3994588408?position=11&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=gJHu2uwo8ecEy0U5wY9EyQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Deliveroo,"London, England, United Kingdom","The Data & Science Org + +At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. + +Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers. + +Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a dedicated data science diversity committee. + +As a data scientist at Deliveroo, your main goal is to maximise business impact within one of many business areas. You will help answer questions like: + + + +Which markets/cities should we enter next? +How can we incentivise good rider behaviour? +What is the impact of exclusive deals we have with restaurants? +How do we optimise our compensation policy to keep our customers happy and ordering with Deliveroo? +What are the trade-offs we face when choosing between growth and profitability? How should we decide between them? +How much should our pricing vary by distance and by market? +What is the optimum selection and variety of restaurants in a particular area? +How do we adapt our consumer app to better suit grocery shoppers? + + + +The work you will do will have a direct, measurable impact on the bottom line of the company. + +Requirements + + + +A solid grounding in SQL (and preferably Python) +Experience conducting A/B experiments +Great communication skills - in person, in writing, in code; to technical and non-technical audiences +A problem solver with a deep analytical mindset +Ability to think creatively and insightfully about business problems +A critical thinker with very strong attention to detail +A pragmatic, flexible approach, where you most care about achieving impact +Excellent people skills — you'll be meeting with stakeholders to translate business needs into data science problems + + + +Why Deliveroo + +Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. + +We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. + +Workplace & Benefits + +At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. + +Diversity + +At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry. + +We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed. + +Please click here to view our candidate privacy policy. +Show more ","
    + + + + + +
    +
    + The Data & Science Org

    At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo.

    Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers.

    Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a dedicated data science diversity committee.

    As a data scientist at Deliveroo, your main goal is to maximise business impact within one of many business areas. You will help answer questions like:


    • Which markets/cities should we enter next?
    • How can we incentivise good rider behaviour?
    • What is the impact of exclusive deals we have with restaurants?
    • How do we optimise our compensation policy to keep our customers happy and ordering with Deliveroo?
    • What are the trade-offs we face when choosing between growth and profitability? How should we decide between them?
    • How much should our pricing vary by distance and by market?
    • What is the optimum selection and variety of restaurants in a particular area?
    • How do we adapt our consumer app to better suit grocery shoppers?


    The work you will do will have a direct, measurable impact on the bottom line of the company.

    Requirements


    • A solid grounding in SQL (and preferably Python)
    • Experience conducting A/B experiments
    • Great communication skills - in person, in writing, in code; to technical and non-technical audiences
    • A problem solver with a deep analytical mindset
    • Ability to think creatively and insightfully about business problems
    • A critical thinker with very strong attention to detail
    • A pragmatic, flexible approach, where you most care about achieving impact
    • Excellent people skills — you'll be meeting with stakeholders to translate business needs into data science problems


    Why Deliveroo

    Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it.

    We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.

    Workplace & Benefits

    At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.

    Diversity

    At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.

    We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.

    Please click here to view our candidate privacy policy. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3998607846,https://uk.linkedin.com/jobs/view/data-scientist-at-stanford-black-limited-3998607846?position=12&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=EgktFp%2F9upmtWo33hOHpAg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Stanford Black Limited,"London Area, United Kingdom","Applied Data Scientist/ Senior Data Scientist - Unicorn AI Start Up. + +(Up to £100,000 Base Salaries) + + + + +Company: + +An AI Start Up with over $1 billion of funding, partnered with the likes of Amazon, Google and Microsoft. +The firm are pioneers of a type of AI that focuses on being able to reason like humans, helping businesses make tough, pivotal decisions at enterprise scale whilst being able to explain the decision making. +Their product is being integrated into companies across the globe, from start ups to industry giants and is proving to be a huge success. +They have just had the second largest Series A Funding in UK history and are now looking to bolster their operations. + + + + +Role: + +This is a customer facing b2b role, working with a range of clients to help integrate the AI platform. +Building Algorithms and models for time-series and tabular data. +Contribute to the ongoing development of the platform, working closely with product and research teams. + + + + +Requirements: + +MSc or PhD in Statistics, Maths, Physics or a similar subject. +A strong foundation of Data Science principals, preferably with experience working with time series data. +Experience in a consultative environment, either customer facing or working very closely with stakeholders. + + + + +Please contact james.griffin@stanfordblack.com for more information. + + + + +If this role isn't right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed! T&Cs apply. + +Show more ","
    + + + + + +
    +
    +

    Applied Data Scientist/ Senior Data Scientist - Unicorn AI Start Up.

    (Up to £100,000 Base Salaries)


    Company:

    • An AI Start Up with over $1 billion of funding, partnered with the likes of Amazon, Google and Microsoft.
    • The firm are pioneers of a type of AI that focuses on being able to reason like humans, helping businesses make tough, pivotal decisions at enterprise scale whilst being able to explain the decision making.
    • Their product is being integrated into companies across the globe, from start ups to industry giants and is proving to be a huge success.
    • They have just had the second largest Series A Funding in UK history and are now looking to bolster their operations.


    Role:

    • This is a customer facing b2b role, working with a range of clients to help integrate the AI platform.
    • Building Algorithms and models for time-series and tabular data.
    • Contribute to the ongoing development of the platform, working closely with product and research teams.


    Requirements:

    • MSc or PhD in Statistics, Maths, Physics or a similar subject.
    • A strong foundation of Data Science principals, preferably with experience working with time series data.
    • Experience in a consultative environment, either customer facing or working very closely with stakeholders.


    Please contact james.griffin@stanfordblack.com for more information.


    If this role isn't right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed! T&Cs apply.

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    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +3998022349,https://uk.linkedin.com/jobs/view/data-scientist-at-talentslab-io-3998022349?position=13&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=A9s5eFbqCgiCaE2wX%2F8IPA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,talentslab.io,"London, England, United Kingdom","The Company + +Our client builds an innovative platform at the crossroads of social crypto, prediction markets, and accessible speculation. With strong financial backing and a promising future, they've quickly become a leader in memecoin creation and trading on Solana since their launch. In less than six months, they've generated over $80 million in revenue, making waves across the crypto community. + +The Role + +We're looking for a high-performing Data Scientist to join their team and help unlock valuable insights from their growing data. This role is ideal for someone who is detail-oriented, enjoys diving into complex data trends, and is excited about being part of an ambitious, cutting-edge crypto startup. + +The role is hybrid with at least two days / week at the office in London, UK. + +What You'll Do + + +Lead and manage data collection initiatives +Perform full life cycle analysis, covering requirements, activities, and design +Analyze and interpret complex data sets, turning them into actionable insights for business decisions +Monitor performance and implement quality control plans to identify areas for improvement +Apply predictive modeling to enhance consumer understanding, customer segmentation, and targeted advertising +Collaborate with various departments to understand and meet data needs +Effectively use graphs and data visualizations to present findings to both technical and non-technical audiences +Develop and execute database queries strategically +Implement systems and strategies to transform raw data into valuable business insights +Provide guidance on setting benchmarks and metrics + + + +What You Bring To The Table + + +Solid experience with Python and SQL +PhD-level academic qualifications or previous experience as a data scientist at a FAANG-level company +Must have work experience in the crypto space or a strong interest in it +Ability to work in person in London at least 2 days a week +Experience with consumer products or consumer data + + + +What You'll Get + + +A salary of 150K - 350K / year +Negotiable equity opportunities +A lot of exciting projects with great learning opportunity + + + +Hiring Process + + +Founder / CEO Interview +Technical Interview +Take Home Test +Final founder / CEO Interview + + + +We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We encourage applicants of all backgrounds to apply and look forward to welcoming those who will contribute to our diverse and inclusive culture. +Show more ","
    + + + + + +
    +
    + The Company

    Our client builds an innovative platform at the crossroads of social crypto, prediction markets, and accessible speculation. With strong financial backing and a promising future, they've quickly become a leader in memecoin creation and trading on Solana since their launch. In less than six months, they've generated over $80 million in revenue, making waves across the crypto community.

    The Role

    We're looking for a high-performing Data Scientist to join their team and help unlock valuable insights from their growing data. This role is ideal for someone who is detail-oriented, enjoys diving into complex data trends, and is excited about being part of an ambitious, cutting-edge crypto startup.

    The role is hybrid with at least two days / week at the office in London, UK.

    What You'll Do

    • Lead and manage data collection initiatives
    • Perform full life cycle analysis, covering requirements, activities, and design
    • Analyze and interpret complex data sets, turning them into actionable insights for business decisions
    • Monitor performance and implement quality control plans to identify areas for improvement
    • Apply predictive modeling to enhance consumer understanding, customer segmentation, and targeted advertising
    • Collaborate with various departments to understand and meet data needs
    • Effectively use graphs and data visualizations to present findings to both technical and non-technical audiences
    • Develop and execute database queries strategically
    • Implement systems and strategies to transform raw data into valuable business insights
    • Provide guidance on setting benchmarks and metrics


    What You Bring To The Table

    • Solid experience with Python and SQL
    • PhD-level academic qualifications or previous experience as a data scientist at a FAANG-level company
    • Must have work experience in the crypto space or a strong interest in it
    • Ability to work in person in London at least 2 days a week
    • Experience with consumer products or consumer data


    What You'll Get

    • A salary of 150K - 350K / year
    • Negotiable equity opportunities
    • A lot of exciting projects with great learning opportunity


    Hiring Process

    • Founder / CEO Interview
    • Technical Interview
    • Take Home Test
    • Final founder / CEO Interview


    We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We encourage applicants of all backgrounds to apply and look forward to welcoming those who will contribute to our diverse and inclusive culture. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3958974827,https://uk.linkedin.com/jobs/view/data-scientist-at-interex-group-3958974827?position=14&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=sFRjqfCmumD%2BO%2BrEy59GkA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,InterEx Group,"Greater London, England, United Kingdom","The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. + + + + +Responsibilities + +Analyze raw data: assessing quality, cleansing, and structuring for downstream processing +Design accurate and scalable prediction algorithms +Collaborate with the engineering team to bring analytical prototypes to production +Generate actionable insights for business improvements + + + + +Qualifications + +Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) +At least 1 - 2 years of experience in quantitative analytics or data modelling +Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms +Fluency in a programming language (Python, C,C++, Java, SQL) +Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) + +Show more ","
    + + + + + +
    +
    +

    The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.


    Responsibilities

    • Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
    • Design accurate and scalable prediction algorithms
    • Collaborate with the engineering team to bring analytical prototypes to production
    • Generate actionable insights for business improvements


    Qualifications

    • Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
    • At least 1 - 2 years of experience in quantitative analytics or data modelling
    • Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms
    • Fluency in a programming language (Python, C,C++, Java, SQL)
    • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3956087246,https://uk.linkedin.com/jobs/view/data-scientist-football-analytics-at-singular-recruitment-3956087246?position=15&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=nL8huY%2BbImYLD%2BwQgGLduA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (Football Analytics),Singular Recruitment,"London Area, United Kingdom","Data Scientist (Football Analytics) (one day a week in the central London office) + +​​​​ + +Overview + + + + +This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, you’ll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry. + + + + +This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. + + + + +Ideal for those eager to blend their passion for sports with cutting-edge technology, aiming to make significant contributions in sports analytics. If you’re a detail-oriented innovator and team player, we’re excited to hear from you. + + + + +Responsibilities for the role of Data Scientist will include: + + + + +Collect, clean, and process football-related data from various sources. +Develop and implement statistical models and algorithms to analyze player performance and match outcomes. +Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. +Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights. +Stay updated with the latest trends and advancements in sports analytics and data science. + + + + +As the selected Data Scientist, you background should include: + + + + +Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. +Essential - Proven experience in data science within the sports industry. +Strong programming skills in Python. +Experience with data visualization tools like Tableau, Power BI, or similar. +Knowledge of football tactics, strategies, and player performance metrics. +Excellent problem-solving skills and attention to detail. +Strong communication skills with the ability to explain complex data insights to non-technical stakeholders. + + + + +Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist (Football Analytics) (one day a week in the central London office)

    ​​​​

    Overview


    This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, you’ll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry.


    This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics.


    Ideal for those eager to blend their passion for sports with cutting-edge technology, aiming to make significant contributions in sports analytics. If you’re a detail-oriented innovator and team player, we’re excited to hear from you.


    Responsibilities for the role of Data Scientist will include:


    • Collect, clean, and process football-related data from various sources.
    • Develop and implement statistical models and algorithms to analyze player performance and match outcomes.
    • Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders.
    • Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights.
    • Stay updated with the latest trends and advancements in sports analytics and data science.


    As the selected Data Scientist, you background should include:


    • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
    • Essential - Proven experience in data science within the sports industry.
    • Strong programming skills in Python.
    • Experience with data visualization tools like Tableau, Power BI, or similar.
    • Knowledge of football tactics, strategies, and player performance metrics.
    • Excellent problem-solving skills and attention to detail.
    • Strong communication skills with the ability to explain complex data insights to non-technical stakeholders.


    Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +4000465696,https://uk.linkedin.com/jobs/view/data-scientist-ai-tech-start-up-at-nicholson-glover-4000465696?position=18&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=LqRZwzLtcarrZQTiSrNl6Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist | AI Tech Start-Up,Nicholson Glover,"Greater London, England, United Kingdom","Data Scientist | AI | London/Hybrid | Up to £65,000 + 20% Bonus + Share Options + + + + +We are working on a fantastic opportunity with an AI Tech Scale-Up who are looking to hire a Data Scientist to join their growing team! + + + + +The Company + + + + +Their enterprise platform goes beyond predictions and provides insights around AI and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, retail, supply chain, telecoms, utilities, etc. Off the back of Series-A Funding, they are growing at a phenomenal rate! + + + + +The Role + + + + +The Data Scientist will be working on the development of AI-driven models and decision applications using their technology to directly impact client business needs. + +You will work alongside researchers, engineers, and executives and work directly with their customers to solve their client’s most pressing business needs + + + + +The Candidate + + + + +Key attributes of the suitable Data Scientist include: + +At least 18 months experience in a commercial data science role +Strong communication skills with the ability to explain to both technical and non-technical stakeholders +Experience in Retail, Supply Chain, Financial Services, Telecoms, Public Sector, etc. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist | AI | London/Hybrid | Up to £65,000 + 20% Bonus + Share Options


    We are working on a fantastic opportunity with an AI Tech Scale-Up who are looking to hire a Data Scientist to join their growing team!


    The Company


    Their enterprise platform goes beyond predictions and provides insights around AI and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, retail, supply chain, telecoms, utilities, etc. Off the back of Series-A Funding, they are growing at a phenomenal rate!


    The Role


    The Data Scientist will be working on the development of AI-driven models and decision applications using their technology to directly impact client business needs.

    You will work alongside researchers, engineers, and executives and work directly with their customers to solve their client’s most pressing business needs


    The Candidate


    Key attributes of the suitable Data Scientist include:

    • At least 18 months experience in a commercial data science role
    • Strong communication skills with the ability to explain to both technical and non-technical stakeholders
    • Experience in Retail, Supply Chain, Financial Services, Telecoms, Public Sector, etc.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3999705276,https://uk.linkedin.com/jobs/view/data-scientist-at-franklin-bates-3999705276?position=20&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=A0vvO27O1RZP8bpi1aDJTQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Franklin Bates,"London Area, United Kingdom","Data Scientist + +Hybrid (London office) + +Up to £75,000 + + + + +Our new client is a forward-thinking start-up revolutionising the electric vehicle (EV) charging industry. Their mission is to create the most efficient, user-friendly, and sustainable EV charging solutions on the market and believe that data is at the heart of driving innovation, optimising operations, and enhancing customer experiences. Take this opportunity to join them in their journey to make a significant impact on the future of mobility and sustainability. + + + + +We are looking for an enthusiastic, engaged Data Scientist with a background in a progressive environment, from a start-up or scale up ideally, to join this dynamic team, where you will leverage your expertise in data analysis, research, and statistical modelling to solve complex problems, working closely with cross-functional teams, including engineering, product development, and 3rd parties, to derive actionable insights from the data to help shape the future of EV charging. + + + + +You will be involved in analysing large datasets to identify trends, patterns, and opportunities for optimisation in the EV charging network; developing predictive models to enhance charging efficiency, predict maintenance needs, and improve customer experience; implementing data-driven solutions and features; designing and conducting experiments to test hypotheses and validate models; creating and maintaining dashboards and visualisations to communicate findings to stakeholders; and continuously monitoring and improving the performance of deployed models and algorithms. + + + + +Requirements for the Data Scientist position: + + + + +Proven experience as a Data Scientist, preferably in a start-up or technology-driven environment. +Programming skills in Python, R or similar languages. +Proficiency with data analysis and visualisation tools such as SQL, Pandas, Matplotlib, and Tableau. +Solid understanding of statistical analysis and experimental design. + + + + +A competitive salary of up to £75,000 depending on experience, with equity options and a hybrid working set up split between home-working and the London office is offered, along with the attraction of working in a collaborative, innovative environment offering professional growth and career development. + + + + +*Please only apply for consideration if you have full, independent right to work in the UK and you are already living in the UK permanently due to no visa sponsorship or support with relocation to the UK being available.* + + + + +Franklin Bates is a leading IT recruitment consultancy specialising in Software Development, Cloud, & Data. We provide high quality contract, interim and permanent IT professionals to a broad range of technology companies within the UK. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist

    Hybrid (London office)

    Up to £75,000


    Our new client is a forward-thinking start-up revolutionising the electric vehicle (EV) charging industry. Their mission is to create the most efficient, user-friendly, and sustainable EV charging solutions on the market and believe that data is at the heart of driving innovation, optimising operations, and enhancing customer experiences. Take this opportunity to join them in their journey to make a significant impact on the future of mobility and sustainability.


    We are looking for an enthusiastic, engaged Data Scientist with a background in a progressive environment, from a start-up or scale up ideally, to join this dynamic team, where you will leverage your expertise in data analysis, research, and statistical modelling to solve complex problems, working closely with cross-functional teams, including engineering, product development, and 3rd parties, to derive actionable insights from the data to help shape the future of EV charging.


    You will be involved in analysing large datasets to identify trends, patterns, and opportunities for optimisation in the EV charging network; developing predictive models to enhance charging efficiency, predict maintenance needs, and improve customer experience; implementing data-driven solutions and features; designing and conducting experiments to test hypotheses and validate models; creating and maintaining dashboards and visualisations to communicate findings to stakeholders; and continuously monitoring and improving the performance of deployed models and algorithms.


    Requirements for the Data Scientist position:


    • Proven experience as a Data Scientist, preferably in a start-up or technology-driven environment.
    • Programming skills in Python, R or similar languages.
    • Proficiency with data analysis and visualisation tools such as SQL, Pandas, Matplotlib, and Tableau.
    • Solid understanding of statistical analysis and experimental design.


    A competitive salary of up to £75,000 depending on experience, with equity options and a hybrid working set up split between home-working and the London office is offered, along with the attraction of working in a collaborative, innovative environment offering professional growth and career development.


    *Please only apply for consideration if you have full, independent right to work in the UK and you are already living in the UK permanently due to no visa sponsorship or support with relocation to the UK being available.*


    Franklin Bates is a leading IT recruitment consultancy specialising in Software Development, Cloud, & Data. We provide high quality contract, interim and permanent IT professionals to a broad range of technology companies within the UK.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +4004409689,https://uk.linkedin.com/jobs/view/data-scientist-at-johnson-johnson-4004409689?position=22&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=RVRJO3mLDOvi2T6HYTeUkQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Johnson & Johnson,"London, England, United Kingdom","Description: + +At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.  + +Major Duties & Responsibilities + + +Develop data science solutions: Business problem understanding, data processing, algorithms to discover trends & patterns, data visualization, generation of key insights and communication to senior stakeholders. +Write production-level and scalable code in Python or R programming languages +Implement machine learning and statistical models for Predictive, Time series forecasting, Decision Support, Gen AI, NLP etc. +Execute Data Science projects from an end-to-end perspective: From data acquisition, data pre-processing, modelling, visualization and full integration with end-user systems and processes. +Develop data processing and modelling pipelines for large datasets from finance and ERP systems such as SAP HANA. +Present results, key insights and explain complex analysis in a simple manner to senior leaders across different functions to help drive data-driven decision making and adoption. Leverage data visualization/ dashboarding tools for interactive presentations. +Deploy analytical models into production. Take accountability for requirements, procedures and standards such as version control and documentation. +Automation of data pipelines and orchestration of workflows. +Leverage and advance robust data architecture and cloud-based technology stack to support production-level work. +Partner with cross-functional teams: Technology, Finance Systems and Data, Group Finance and CFOs, Compliance, Data Engineering, and other Data Scientists to ensure project success. +Keep up to date to apply latest technology trends in the areas of data science and artificial intelligence, including Generative AI. +Flexibility to work in a global team (spanning across multiple time zones), with a culture of continuous innovation, teamwork, collaboration, and inclusion among team members. +Work on projects of varying length and complexity in an agile manner with work prioritization and deadlines. +Advocate and facilitate the use of data-driven insights and data science methods across J&Js Global Finance organization. +Understanding J&Js business as well as Global Finance function to better apply Data Science solutions. + + +Qualifications: + +Basic Qualifications + + +Required Minimum Experience: At least 3 to 4 years of relevant experience. +Bachelors/ Master’s in: Computer Science, Engineering, Data Science, Business Analytics, Science, Finance or any quantitative or STEM discipline. Preferred: Master’s or PhD degree in a relevant field. +Ability to work and collaborate with a global team, innovate, and drive for common goals and achievements. +Experience of executing Data Science projects from initiation through PoC to Production +Knowledge of Big Data, Data Pipelining, Machine Learning, intermediate level of Software Development and Automation skills +Must have a strong Commercial focus, a solid background in Data Science and experience with Machine Learning/ Statistics. Data science experience in a Finance or Commercial setting is strongly preferred. +Ability to connect and partner with various stakeholders (cross-functional) including senior executives to identify their needs and drive adoption of the solutions. +Experience in managing compliance adherence, risk management and stakeholder commitments in large organizations. + + +Technical Requirements + + +Strong experience in writing production-level code in Python/R programming languages +Hands-on experience with Cloud stack: AWS, Microsoft Azure, Domino etc. +Expertise in variety of Machine Learning/ AI techniques (clustering, decision tree, neural networks, deep learning, Gen AI etc.) +Expertise in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests etc.) +Expertise with Time Series data and Natural Language Processing (NLP) +Experience in developing end-to-end production pipelines, taking a model from proof-of-concept to production-grade. +Experience with Model Deployment and Monitoring, APIs +Experience with Advanced Excel including Power Pivot. PowerPoint +Knowledge of automated workflow tools such as Alteryx, and workflow orchestration tools such as Airflow and Kubernetes +Knowledge of Tableau/ PowerBI/ Dash for data visualization and dashboarding +Knowledge of machine learning frameworks (e.g., TensorFlow, scikit-learn). +Knowledge in use of Generative AI and LLMs such as AWS Bedrock, Open AI, AWS Bedrock, Meta LLama +Standards, scientific rigor and best practices around version control, technical documentation, and agile methodology. Leveraging tools such as JIRA, Confluence and Git. +Experience with SQL to acquire and manipulate data, knowledge about data warehouse, ERP systems such as SAP HANA, Data Lakes: AWS S3 +Continuous improvement mindset, critical thinking and innovation. Drive to learn and master new technologies. +Able to work in environment which requires work prioritization, deadline changes, risk management, compliance adherence etc. +Experience working across multiple levels of stakeholders, creating context around key business drivers & strategic plan + + +Show more ","
    + + + + + +
    +
    + Description:

    At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/. 

    Major Duties & Responsibilities

    • Develop data science solutions: Business problem understanding, data processing, algorithms to discover trends & patterns, data visualization, generation of key insights and communication to senior stakeholders.
    • Write production-level and scalable code in Python or R programming languages
    • Implement machine learning and statistical models for Predictive, Time series forecasting, Decision Support, Gen AI, NLP etc.
    • Execute Data Science projects from an end-to-end perspective: From data acquisition, data pre-processing, modelling, visualization and full integration with end-user systems and processes.
    • Develop data processing and modelling pipelines for large datasets from finance and ERP systems such as SAP HANA.
    • Present results, key insights and explain complex analysis in a simple manner to senior leaders across different functions to help drive data-driven decision making and adoption. Leverage data visualization/ dashboarding tools for interactive presentations.
    • Deploy analytical models into production. Take accountability for requirements, procedures and standards such as version control and documentation.
    • Automation of data pipelines and orchestration of workflows.
    • Leverage and advance robust data architecture and cloud-based technology stack to support production-level work.
    • Partner with cross-functional teams: Technology, Finance Systems and Data, Group Finance and CFOs, Compliance, Data Engineering, and other Data Scientists to ensure project success.
    • Keep up to date to apply latest technology trends in the areas of data science and artificial intelligence, including Generative AI.
    • Flexibility to work in a global team (spanning across multiple time zones), with a culture of continuous innovation, teamwork, collaboration, and inclusion among team members.
    • Work on projects of varying length and complexity in an agile manner with work prioritization and deadlines.
    • Advocate and facilitate the use of data-driven insights and data science methods across J&Js Global Finance organization.
    • Understanding J&Js business as well as Global Finance function to better apply Data Science solutions.

    Qualifications:

    Basic Qualifications

    • Required Minimum Experience: At least 3 to 4 years of relevant experience.
    • Bachelors/ Master’s in: Computer Science, Engineering, Data Science, Business Analytics, Science, Finance or any quantitative or STEM discipline. Preferred: Master’s or PhD degree in a relevant field.
    • Ability to work and collaborate with a global team, innovate, and drive for common goals and achievements.
    • Experience of executing Data Science projects from initiation through PoC to Production
    • Knowledge of Big Data, Data Pipelining, Machine Learning, intermediate level of Software Development and Automation skills
    • Must have a strong Commercial focus, a solid background in Data Science and experience with Machine Learning/ Statistics. Data science experience in a Finance or Commercial setting is strongly preferred.
    • Ability to connect and partner with various stakeholders (cross-functional) including senior executives to identify their needs and drive adoption of the solutions.
    • Experience in managing compliance adherence, risk management and stakeholder commitments in large organizations.

    Technical Requirements

    • Strong experience in writing production-level code in Python/R programming languages
    • Hands-on experience with Cloud stack: AWS, Microsoft Azure, Domino etc.
    • Expertise in variety of Machine Learning/ AI techniques (clustering, decision tree, neural networks, deep learning, Gen AI etc.)
    • Expertise in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests etc.)
    • Expertise with Time Series data and Natural Language Processing (NLP)
    • Experience in developing end-to-end production pipelines, taking a model from proof-of-concept to production-grade.
    • Experience with Model Deployment and Monitoring, APIs
    • Experience with Advanced Excel including Power Pivot. PowerPoint
    • Knowledge of automated workflow tools such as Alteryx, and workflow orchestration tools such as Airflow and Kubernetes
    • Knowledge of Tableau/ PowerBI/ Dash for data visualization and dashboarding
    • Knowledge of machine learning frameworks (e.g., TensorFlow, scikit-learn).
    • Knowledge in use of Generative AI and LLMs such as AWS Bedrock, Open AI, AWS Bedrock, Meta LLama
    • Standards, scientific rigor and best practices around version control, technical documentation, and agile methodology. Leveraging tools such as JIRA, Confluence and Git.
    • Experience with SQL to acquire and manipulate data, knowledge about data warehouse, ERP systems such as SAP HANA, Data Lakes: AWS S3
    • Continuous improvement mindset, critical thinking and innovation. Drive to learn and master new technologies.
    • Able to work in environment which requires work prioritization, deadline changes, risk management, compliance adherence etc.
    • Experience working across multiple levels of stakeholders, creating context around key business drivers & strategic plan

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4006098273,https://uk.linkedin.com/jobs/view/data-scientist-at-sr2-socially-responsible-recruitment-certified-b-corporation%E2%84%A2-4006098273?position=24&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=G9w1RNPbtIjvOmQkwP5g9A%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,SR2 | Socially Responsible Recruitment | Certified B Corporation™,"London Area, United Kingdom","Data Scientist – London (2 days a week) £60-80,000 + + + + +The way in which we settled disputes hasn't changed for nearly 200 years. Until now! + +This Data Scientist role will allow you to work on AI that is revolutionizing the way the legal system works. It's a start up of 25 people, VC backed and growing fast; their product has gone from tens of customers in January to tens of thousands now. + +So what does that growth mean for you? Well your role won’t be the same now as it is in 3 years. Bigger company means bigger roles and not just management. The growth will lead to new tech, new products, new features and a whole new set of models! As a small but growing company it’s a great opportunity to help create a culture of excellence and learning in what is a fairly new and ever-evolving area of technology. + +This is a hands on role working hybrid 2-3 days a week in London. Salary £60-80,000 DOE. + +You'll need: + + + + +🔸Hands on Data Scientist experience (2+ years) +🔸Proven background with LLM Tech. Especially LLMOps, Agents, RAG. + + + + +For immediate consideration please apply or contact Charles at SR2. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist – London (2 days a week) £60-80,000


    The way in which we settled disputes hasn't changed for nearly 200 years. Until now!

    This Data Scientist role will allow you to work on AI that is revolutionizing the way the legal system works. It's a start up of 25 people, VC backed and growing fast; their product has gone from tens of customers in January to tens of thousands now.

    So what does that growth mean for you? Well your role won’t be the same now as it is in 3 years. Bigger company means bigger roles and not just management. The growth will lead to new tech, new products, new features and a whole new set of models! As a small but growing company it’s a great opportunity to help create a culture of excellence and learning in what is a fairly new and ever-evolving area of technology.

    This is a hands on role working hybrid 2-3 days a week in London. Salary £60-80,000 DOE.

    You'll need:


    • 🔸Hands on Data Scientist experience (2+ years)
    • 🔸Proven background with LLM Tech. Especially LLMOps, Agents, RAG.


    For immediate consideration please apply or contact Charles at SR2.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4000345207,https://uk.linkedin.com/jobs/view/data-scientist-energy-at-ava-energy-4000345207?position=25&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=%2FnjAiwDU23n60B4t92F2wQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Energy,AVA Energy,"London Area, United Kingdom","Our client are an industry leading Consultancy & Market insight business supporting the Energy transition in a number of innovative ways. As part of their exciting growth, we are looking for a Data Scientist with Energy experience to join the team. + + + + +Ideal candidate will have: + + + + +At least 4 years of experience in the Energy industry, preferably within short term power forecasting. +Extensive experience of Python and ML Models (Tensorflow) +Azure devops experience would be beneficial + +Show more ","
    + + + + + +
    +
    +

    Our client are an industry leading Consultancy & Market insight business supporting the Energy transition in a number of innovative ways. As part of their exciting growth, we are looking for a Data Scientist with Energy experience to join the team.


    Ideal candidate will have:


    • At least 4 years of experience in the Energy industry, preferably within short term power forecasting.
    • Extensive experience of Python and ML Models (Tensorflow)
    • Azure devops experience would be beneficial

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +4004429014,https://uk.linkedin.com/jobs/view/data-scientist-at-bettingjobs-4004429014?position=26&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=rPCKWKhfTs%2BPDjdRy%2BAcJw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,BettingJobs,"Greater London, England, United Kingdom","BettingJobs are working with a sports analytics company who work with clients in the iGaming industry, who are seeking the hire of a Data Scientist to be based out of London. + + + + +About The Role: + + + + +They are looking for a data scientist to work on the betting and prediction side of their business, helping them to improve their ability to predict match outcomes. This role involves researching ways in which the modelling approaches they use to predict football matches can be improved, and then turning those insights into practical modelling solutions that they can deploy to production. + + + + +You will have flexibility to work from home one day a week, and they aren't too fussy about the exact hours you work each day. But please note they are not considering remote candidates at the moment. + + + + +Essential Requirements: + +Strong problem solving skills, with an ability to proactively identify challenges and propose solutions +Interest in football and betting/prediction problems +An ability to make pragmatic and sensible choices about what data analysis and modelling approaches to use – you can judge when it’s right to obsess about the details, and when it’s right to ship an MVP as fast as possible. +A flair for communicating statistical analyses to both technical and non-technical audiences +Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques and tools are available, and understand the trade-offs of using different approaches +Experience with SQL and relational databases – you can quickly understand a new dataset, perform exploratory analysis, identify data quality issues, and take pragmatic decisions about how to handle imperfect data +Some programming experience, preferably with Python. + + + + +For senior candidates: + + + + +More experienced candidates will have the opportunity to take on more responsibility, leading projects and helping set the direction of the research. They are looking for candidates who can think strategically and make pragmatic decisions about where they should focus their efforts, and what technical approaches they should use to get the modelling ideas onto production. In addition to the requirements above, this means you also have: + + + + +3+ years of practical data science experience +Project management skills, including an ability to make sensible value judgements about where the team should spend time +An extensive knowledge of statistical methods and machine learning techniques +Strong programming skills, ideally with Python +Experience working with other data scientists on a collaborative codebase +Experience of deploying models to production, ideally in AWS or another cloud environment + +Show more ","
    + + + + + +
    +
    +

    BettingJobs are working with a sports analytics company who work with clients in the iGaming industry, who are seeking the hire of a Data Scientist to be based out of London.


    About The Role:


    They are looking for a data scientist to work on the betting and prediction side of their business, helping them to improve their ability to predict match outcomes. This role involves researching ways in which the modelling approaches they use to predict football matches can be improved, and then turning those insights into practical modelling solutions that they can deploy to production.


    You will have flexibility to work from home one day a week, and they aren't too fussy about the exact hours you work each day. But please note they are not considering remote candidates at the moment.


    Essential Requirements:

    • Strong problem solving skills, with an ability to proactively identify challenges and propose solutions
    • Interest in football and betting/prediction problems
    • An ability to make pragmatic and sensible choices about what data analysis and modelling approaches to use – you can judge when it’s right to obsess about the details, and when it’s right to ship an MVP as fast as possible.
    • A flair for communicating statistical analyses to both technical and non-technical audiences
    • Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques and tools are available, and understand the trade-offs of using different approaches
    • Experience with SQL and relational databases – you can quickly understand a new dataset, perform exploratory analysis, identify data quality issues, and take pragmatic decisions about how to handle imperfect data
    • Some programming experience, preferably with Python.


    For senior candidates:


    More experienced candidates will have the opportunity to take on more responsibility, leading projects and helping set the direction of the research. They are looking for candidates who can think strategically and make pragmatic decisions about where they should focus their efforts, and what technical approaches they should use to get the modelling ideas onto production. In addition to the requirements above, this means you also have:


    • 3+ years of practical data science experience
    • Project management skills, including an ability to make sensible value judgements about where the team should spend time
    • An extensive knowledge of statistical methods and machine learning techniques
    • Strong programming skills, ideally with Python
    • Experience working with other data scientists on a collaborative codebase
    • Experience of deploying models to production, ideally in AWS or another cloud environment

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3987572811,https://uk.linkedin.com/jobs/view/data-scientist-at-omnis-partners-3987572811?position=27&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=zqq5G6gWay2QOXkwFPfoyQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Omnis Partners,"London Area, United Kingdom","Data Scientist + +Series-A Technology Start-Up + + + + + + + +£45k - £60k plus equity, bonus & benefits + +Hybrid / London Office 2 days per week + + + + + + + +✅Support a portfolio of world-class clients in every industry + +✅Innovative, collaborative culture, business driven by scientists & engineers + +✅Inspiring leader, passionate about raising global awareness of AI + +✅Chance to own shares in scaling organisation, collective drive towards exit + + + + + + + +Join this market-leading Data Science and AI technology start-up as they continue to grow their Data Science team. + + + + + + + +You will operate as part of a highly collaborative, innovative team to deliver data science solutions, under the leadership and guidance of an inspiring thought leader, in your Director of Data Science. + + + + + + + +You will work across an extensive portfolio of global brands, in most key commercial industries, so the opportunity to diversify and develop your domain knowledge is huge. + + + + + + + +You will deliver a variety of data science and AI projects and solutions, leveraging advanced mathematical and statistical programming and modelling skills including forecasting, time series and demand forecasting, to enable improved supply chain efficiencies, business performance and and questions around the customer. + + + + + + + +You will also support the development of a proprietary AI platform, working closely with the developers and product teams. + + + + + + + +Be part of this disruptive start-up as they continue to pioneer the use of machine learning and AI to drive enterprise value for end users. + + + + + + + +Experience Required: + + + + +Educated to at least master’s degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. +Strong programming skills with Python, building algorithms and models, and working with large and complex data sets to extract insights. +A background in applied data science within a commercial environment, comfortable with fast-paced, high growth culture. +Ideally experience of working in a client or business facing environment, demonstrable skills in building trust and commercial discourse around leveraging ML and AI to solve real world business problems. +Strong preference given to those with some form of scientific research experience, either during Phd or post-grad work experience. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist

    Series-A Technology Start-Up



    £45k - £60k plus equity, bonus & benefits

    Hybrid / London Office 2 days per week



    ✅Support a portfolio of world-class clients in every industry

    ✅Innovative, collaborative culture, business driven by scientists & engineers

    ✅Inspiring leader, passionate about raising global awareness of AI

    ✅Chance to own shares in scaling organisation, collective drive towards exit



    Join this market-leading Data Science and AI technology start-up as they continue to grow their Data Science team.



    You will operate as part of a highly collaborative, innovative team to deliver data science solutions, under the leadership and guidance of an inspiring thought leader, in your Director of Data Science.



    You will work across an extensive portfolio of global brands, in most key commercial industries, so the opportunity to diversify and develop your domain knowledge is huge.



    You will deliver a variety of data science and AI projects and solutions, leveraging advanced mathematical and statistical programming and modelling skills including forecasting, time series and demand forecasting, to enable improved supply chain efficiencies, business performance and and questions around the customer.



    You will also support the development of a proprietary AI platform, working closely with the developers and product teams.



    Be part of this disruptive start-up as they continue to pioneer the use of machine learning and AI to drive enterprise value for end users.



    Experience Required:


    • Educated to at least master’s degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc.
    • Strong programming skills with Python, building algorithms and models, and working with large and complex data sets to extract insights.
    • A background in applied data science within a commercial environment, comfortable with fast-paced, high growth culture.
    • Ideally experience of working in a client or business facing environment, demonstrable skills in building trust and commercial discourse around leveraging ML and AI to solve real world business problems.
    • Strong preference given to those with some form of scientific research experience, either during Phd or post-grad work experience.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-30,[] +4006535233,https://uk.linkedin.com/jobs/view/ai-ml-engineer-at-exante-4006535233?position=30&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=wAxfTmyy1U529zafZWhR1g%3D%3D&trk=public_jobs_jserp-result_search-card,AI/ML Engineer,EXANTE,"London, England, United Kingdom","About EXANTE + +EXANTE is a wealth tech company that provides centralized trading solutions and B2B financial infrastructure that helps create value through technology. + +Our proprietary trading platform enables direct market access to 1M financial instruments from a single multi-currency account, including stocks, ETFs, bonds, futures, and options. + +We are a fast-growing global company with 600+ employees across 70+ locations, representing 60 nationalities, all of us following the same guiding principles: + + +We believe that freedom is an inherited right +We are catalysts +We defend privacy +We cater to our customers to an unprecedented degree + + + +As a Financial company, we know our investment priorities. We invest in our people. + +Join us in creating a new standard for wealth management:https://exantecareers.com + +About The Role + +Are you passionate about leveraging AI to transform operations in the brokerage industry? Do you thrive in dynamic environments where innovation and flexibility are paramount? Join us as an AI/ML Engineer to spearhead strategic initiatives, enhance our operations, and drive the future of brokerage technology. + +Reporting line: Head of Client Services + +Location: anywhere + +Worksite: flexible (remote/onsite) + +Responsibilities + + +Assess the existing IT backlog and companywide initiatives to identify opportunities to integrate AI-driven solutions. Work closely with the IT team to understand existing systems and propose AI-driven alternatives. +Develop strategies to integrate AI/ML solutions into our trading platforms and internal operations without compromising security. +Utilize machine learning to alleviate pressure and streamline processes within counterparty onboarding, order categorization, client experience, client data metrics, etc. +Develop and implement algorithms for data cleansing, preprocessing, and feature engineering. +Utilize machine learning, statistical analysis, and predictive modeling to extract valuable insights from large datasets. +Monitor and evaluate the performance of AI/ML models and algorithms in production and continuously iterate to improve their accuracy, efficiency, and scalability. + + + +Requirements + + +Strong programming skills in languages such as Python, Java, or C++. +Strong understanding of machine learning techniques and frameworks. +Experience with data preprocessing, feature engineering, and model evaluation. +Familiarity with deep learning frameworks like PyTorch or TensorFlow. +Experience with RAG models (embedding, reranking) is a plus. +Familiarity with developing custom AI models and algorithms. + + + +Benefits + + +Competitive salary & performance-based bonus programs +Corporate benefits (choose your preferred options) +Truly inspiring culture, pleasant and informal work environment +Ongoing education & training programs +Opportunity to network and connect in the Corporate Events +Global career opportunities +Benefits/perks listed above may vary depending on the nature of your employment with the company and the country where you work + +Show more ","
    + + + + + +
    +
    + About EXANTE

    EXANTE is a wealth tech company that provides centralized trading solutions and B2B financial infrastructure that helps create value through technology.

    Our proprietary trading platform enables direct market access to 1M financial instruments from a single multi-currency account, including stocks, ETFs, bonds, futures, and options.

    We are a fast-growing global company with 600+ employees across 70+ locations, representing 60 nationalities, all of us following the same guiding principles:

    • We believe that freedom is an inherited right
    • We are catalysts
    • We defend privacy
    • We cater to our customers to an unprecedented degree


    As a Financial company, we know our investment priorities. We invest in our people.

    Join us in creating a new standard for wealth management:https://exantecareers.com

    About The Role

    Are you passionate about leveraging AI to transform operations in the brokerage industry? Do you thrive in dynamic environments where innovation and flexibility are paramount? Join us as an AI/ML Engineer to spearhead strategic initiatives, enhance our operations, and drive the future of brokerage technology.

    Reporting line: Head of Client Services

    Location: anywhere

    Worksite: flexible (remote/onsite)

    Responsibilities

    • Assess the existing IT backlog and companywide initiatives to identify opportunities to integrate AI-driven solutions. Work closely with the IT team to understand existing systems and propose AI-driven alternatives.
    • Develop strategies to integrate AI/ML solutions into our trading platforms and internal operations without compromising security.
    • Utilize machine learning to alleviate pressure and streamline processes within counterparty onboarding, order categorization, client experience, client data metrics, etc.
    • Develop and implement algorithms for data cleansing, preprocessing, and feature engineering.
    • Utilize machine learning, statistical analysis, and predictive modeling to extract valuable insights from large datasets.
    • Monitor and evaluate the performance of AI/ML models and algorithms in production and continuously iterate to improve their accuracy, efficiency, and scalability.


    Requirements

    • Strong programming skills in languages such as Python, Java, or C++.
    • Strong understanding of machine learning techniques and frameworks.
    • Experience with data preprocessing, feature engineering, and model evaluation.
    • Familiarity with deep learning frameworks like PyTorch or TensorFlow.
    • Experience with RAG models (embedding, reranking) is a plus.
    • Familiarity with developing custom AI models and algorithms.


    Benefits

    • Competitive salary & performance-based bonus programs
    • Corporate benefits (choose your preferred options)
    • Truly inspiring culture, pleasant and informal work environment
    • Ongoing education & training programs
    • Opportunity to network and connect in the Corporate Events
    • Global career opportunities
    • Benefits/perks listed above may vary depending on the nature of your employment with the company and the country where you work
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4005040369,https://uk.linkedin.com/jobs/view/data-scientist-nlp-at-shell-4005040369?position=31&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=sWV6kz5EWCjuQgYz9Anrhw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - NLP,Shell,"London, England, United Kingdom","Where do you fit + +As part of Shell's Internal Audit and Investigations Centre of excellence, you'll work across various businesses and functions, supporting a wide range of audits and investigations. You'll be part of a collaborative and forward-thinking team dedicated to improving data science capabilities and delivering impactful insights. + +What’s The Role + +In this role, your primary focus will be on developing digital products that heavily incorporate data science. A solid understanding of machine learning and/or statistics, along with strong software development skills, will enable you to translate business questions into effective data science solutions. You will also be responsible for clearly and effectively presenting your findings to colleagues from other disciplines and business stakeholders. Additionally, a strong interest in exploring customer behavior and economic issues is essential for success in the Customer Centricity Capability Centre. + +Other Responsibilities includes: + + +Developing data science solutions to business challenges. +Write clean and maintainable production-level code, including tests; the tech stack we work with includes Python, Databricks, GIT, Azure, SQL +Integrating models into production on a weekly or even daily basis. +Work closely with the customer and the Product Owner day-to-day. +Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities. +Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience. +Learning new engineering practices, technologies and continuously improving our Agile practices + + +What We Need From You + + +Graduated in Statistics, Mathematics, Econometrics, Computer Science or similar discipline with experience on data science projects. +Knowledgeable in Deep Learning and NLP +Proficiency in statistical software packages such as R, Python +Good working knowledge in Statistics, Machine Learning and data engineering +Awareness of issues in data science and dependence on data quality +High standards of code quality, making use of version control tools. +A practical common-sense approach to problem solving and attention to detail +A passion for and expertise in practicing data science to solve real-world problems +Good oral and written communication skills +Good interpersonal skills and enthusiasm for teamwork, as well as the ability to work independently. + + +Company Description + +Shell is a global group of energy and petrochemicals companies with over 90,000 employees in more than 70 countries and territories. We deliver energy responsibly; operate safely with respect to our neighbours and work to minimize our environmental impact. We are in search of remarkable people who will thrive in a diverse and inclusive work environment to deliver exciting projects locally and globally. People who are passionate about exploring new frontiers. Innovators and pioneers. People with the drive to help shape our future. Because remarkable people achieve remarkable things. + +An innovative place to work + +There’s never been a more exciting time to work at Shell. Everyone here is helping solve one of the biggest challenges facing the world today: bringing the benefits of energy to everyone on the planet, whilst managing the risks of climate change. + +Join us and you’ll add your talent and imagination to a business with the power to shape the future – whether by investing in renewables, exploring new ways to store energy or developing technology that helps the world to use energy more efficiently. + +An inclusive place to work + +To power progress together, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we’re nurturing an inclusive environment – one where you can express your ideas, extend your skills and reach your potential… + +We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply and we’ll take it from there. + +We’re closing the gender gap – whether that’s through action on equal pay or by enabling more women to reach senior roles in engineering and technology. + +We’re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity. + +We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application. + +A rewarding place to work + +Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice. + +We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible. +Show more ","
    + + + + + +
    +
    + Where do you fit

    As part of Shell's Internal Audit and Investigations Centre of excellence, you'll work across various businesses and functions, supporting a wide range of audits and investigations. You'll be part of a collaborative and forward-thinking team dedicated to improving data science capabilities and delivering impactful insights.

    What’s The Role

    In this role, your primary focus will be on developing digital products that heavily incorporate data science. A solid understanding of machine learning and/or statistics, along with strong software development skills, will enable you to translate business questions into effective data science solutions. You will also be responsible for clearly and effectively presenting your findings to colleagues from other disciplines and business stakeholders. Additionally, a strong interest in exploring customer behavior and economic issues is essential for success in the Customer Centricity Capability Centre.

    Other Responsibilities includes:

    • Developing data science solutions to business challenges.
    • Write clean and maintainable production-level code, including tests; the tech stack we work with includes Python, Databricks, GIT, Azure, SQL
    • Integrating models into production on a weekly or even daily basis.
    • Work closely with the customer and the Product Owner day-to-day.
    • Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities.
    • Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience.
    • Learning new engineering practices, technologies and continuously improving our Agile practices

    What We Need From You

    • Graduated in Statistics, Mathematics, Econometrics, Computer Science or similar discipline with experience on data science projects.
    • Knowledgeable in Deep Learning and NLP
    • Proficiency in statistical software packages such as R, Python
    • Good working knowledge in Statistics, Machine Learning and data engineering
    • Awareness of issues in data science and dependence on data quality
    • High standards of code quality, making use of version control tools.
    • A practical common-sense approach to problem solving and attention to detail
    • A passion for and expertise in practicing data science to solve real-world problems
    • Good oral and written communication skills
    • Good interpersonal skills and enthusiasm for teamwork, as well as the ability to work independently.

    Company Description

    Shell is a global group of energy and petrochemicals companies with over 90,000 employees in more than 70 countries and territories. We deliver energy responsibly; operate safely with respect to our neighbours and work to minimize our environmental impact. We are in search of remarkable people who will thrive in a diverse and inclusive work environment to deliver exciting projects locally and globally. People who are passionate about exploring new frontiers. Innovators and pioneers. People with the drive to help shape our future. Because remarkable people achieve remarkable things.

    An innovative place to work

    There’s never been a more exciting time to work at Shell. Everyone here is helping solve one of the biggest challenges facing the world today: bringing the benefits of energy to everyone on the planet, whilst managing the risks of climate change.

    Join us and you’ll add your talent and imagination to a business with the power to shape the future – whether by investing in renewables, exploring new ways to store energy or developing technology that helps the world to use energy more efficiently.

    An inclusive place to work

    To power progress together, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we’re nurturing an inclusive environment – one where you can express your ideas, extend your skills and reach your potential…

    We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply and we’ll take it from there.

    We’re closing the gender gap – whether that’s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.

    We’re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.

    We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application.

    A rewarding place to work

    Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice.

    We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4008629966,https://uk.linkedin.com/jobs/view/data-scientist-at-cornwallis-elt-4008629966?position=32&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=3%2Bf6rd6vd3Rg%2FdQLIvAbpg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Cornwallis Elt,"London Area, United Kingdom","Data Scientist, Machine Learning, Consultant, Audit, Analytics, Python, R, Azure, SQL, Power BI, Cloud – Consulting, Permanent – Up to £55,000 Base + Cash Allowance + Bonus + Benefits + + + + +My client, a leading professional services and consulting organisation is seeking an Assistant Manager Grade Data Science / Machine Learning professional to join their audit and assurance Consulting arm. + + + + +You will be joining a rapidly expanding and challenging business, responsible for delivery across a range of audit and assurance analytics offerings, providing data science and analytics services to deliver insights to clients with the use of Python, DataBricks, R, SQL and Power BI. You will also be involved in the revision of internal and third party data science and cloud solutions, developing and delivering new and innovative Data Science and Machine Learning tools and solutions in order to evolve the audit and assurance business line. + + + + +To be successful for this role you will need; + +Proven Python experience +Excellent understanding of mathematical principles behind machine learning tools +Proven experience using and deploying machine learning algorithms +Excellent communication and stakeholder management skills +End to end data science project experience (data wrangling, feature engineering, model validation etc) +Experience with cloud environments +Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services. + + + + +This is an excellent opportunity to join a rapidly growing team in a leading consultancy, utilising cutting edge technology. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist, Machine Learning, Consultant, Audit, Analytics, Python, R, Azure, SQL, Power BI, Cloud – Consulting, Permanent – Up to £55,000 Base + Cash Allowance + Bonus + Benefits


    My client, a leading professional services and consulting organisation is seeking an Assistant Manager Grade Data Science / Machine Learning professional to join their audit and assurance Consulting arm.


    You will be joining a rapidly expanding and challenging business, responsible for delivery across a range of audit and assurance analytics offerings, providing data science and analytics services to deliver insights to clients with the use of Python, DataBricks, R, SQL and Power BI. You will also be involved in the revision of internal and third party data science and cloud solutions, developing and delivering new and innovative Data Science and Machine Learning tools and solutions in order to evolve the audit and assurance business line.


    To be successful for this role you will need;

    • Proven Python experience
    • Excellent understanding of mathematical principles behind machine learning tools
    • Proven experience using and deploying machine learning algorithms
    • Excellent communication and stakeholder management skills
    • End to end data science project experience (data wrangling, feature engineering, model validation etc)
    • Experience with cloud environments
    • Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services.


    This is an excellent opportunity to join a rapidly growing team in a leading consultancy, utilising cutting edge technology.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +3887712503,https://uk.linkedin.com/jobs/view/machine-learning-engineer-ai-discovery-at-bumble-inc-3887712503?position=33&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=9G2VBFpTYnhAPHftrBqaAw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer - AI Discovery,Bumble Inc.,"London, England, United Kingdom","Inclusion at Bumble Inc. + +Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help. + +In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc). + +Join our team at Bumble, where we’re revolutionizing online dating through innovative AI-driven experiences. We’re seeking machine learning engineers to spearhead the development of next-generation of online dating. In this role, you will be a foundational member of a small, dynamic team dedicated to creating cutting-edge solutions that redefine how people connect and form relationships online. + +The ideal candidate thrives in a fast-paced environment, is a creative thinker, and has a proven track record in Generative AI and Machine Learning. If you're passionate about leveraging AI to shape the future of online connections, we want to hear from you! + +What you'll be doing: + + +Work in a small, dynamic team that values agility, creativity, and autonomy +Contribute to the technical development of new (generative) AI-powered features in our apps +Collaborate cross-functionally with teams across the business to identify user needs and design AI and Machine Learning solutions that meet these needs +Collaborate with the MLOps team to optimize AI and Machine Learning solutions for performance and scalability +Mentor and coach team members on ML engineering best practices +Stay up to date with the latest developments in AI to drive innovation + + +We'd love to meet someone with: + + +An advanced degree in Computer Science, Mathematics or a similar quantitative discipline +Hands-on experience in delivering machine learning models to production at scale +Demonstrated ability to develop innovative technical solutions to complex problems +Experience in writing production-quality Python code +Comfortable working with classic ML frameworks, such as Pytorch or TensorFlow +Comfortable working with modern LLM deployment frameworks and libraries, such as HuggingFace TGI, VLLM, TensorRT-LLM, or similar +Strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting +Comfortable working with Docker and containerised applications +Experienced at deploying highload ML applications on container orchestrators (bare-metal k8s, GKE, EKS) +Understanding of the concepts of GPU-powered workloads, NVIDIA drivers, container runtimes +Strong communication skills, and the ability to work collaboratively and proactively in a fast-paced environment alongside technical and non-technical stakeholders +A genuine passion for AI and Machine Learning, and a thoughtful approach to AI fairness, accountability, and transparency. + + +About Us + +Bumble Inc. is the parent company of Bumble, Badoo, Fruitz and Official. The Bumble platform enables people to build healthy and equitable relationships, through kind connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date), friendship (Bumble BFF) and professional networking (Bumble Bizz). Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. Fruitz, founded in 2017, encourages open and honest communication of dating intentions through playful fruit metaphors. Official is an app for couples that promotes open and honest communication between partners and was founded in 2020. +Show more ","
    + + + + + +
    +
    + Inclusion at Bumble Inc.

    Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.

    In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).

    Join our team at Bumble, where we’re revolutionizing online dating through innovative AI-driven experiences. We’re seeking machine learning engineers to spearhead the development of next-generation of online dating. In this role, you will be a foundational member of a small, dynamic team dedicated to creating cutting-edge solutions that redefine how people connect and form relationships online.

    The ideal candidate thrives in a fast-paced environment, is a creative thinker, and has a proven track record in Generative AI and Machine Learning. If you're passionate about leveraging AI to shape the future of online connections, we want to hear from you!

    What you'll be doing:

    • Work in a small, dynamic team that values agility, creativity, and autonomy
    • Contribute to the technical development of new (generative) AI-powered features in our apps
    • Collaborate cross-functionally with teams across the business to identify user needs and design AI and Machine Learning solutions that meet these needs
    • Collaborate with the MLOps team to optimize AI and Machine Learning solutions for performance and scalability
    • Mentor and coach team members on ML engineering best practices
    • Stay up to date with the latest developments in AI to drive innovation

    We'd love to meet someone with:

    • An advanced degree in Computer Science, Mathematics or a similar quantitative discipline
    • Hands-on experience in delivering machine learning models to production at scale
    • Demonstrated ability to develop innovative technical solutions to complex problems
    • Experience in writing production-quality Python code
    • Comfortable working with classic ML frameworks, such as Pytorch or TensorFlow
    • Comfortable working with modern LLM deployment frameworks and libraries, such as HuggingFace TGI, VLLM, TensorRT-LLM, or similar
    • Strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting
    • Comfortable working with Docker and containerised applications
    • Experienced at deploying highload ML applications on container orchestrators (bare-metal k8s, GKE, EKS)
    • Understanding of the concepts of GPU-powered workloads, NVIDIA drivers, container runtimes
    • Strong communication skills, and the ability to work collaboratively and proactively in a fast-paced environment alongside technical and non-technical stakeholders
    • A genuine passion for AI and Machine Learning, and a thoughtful approach to AI fairness, accountability, and transparency.

    About Us

    Bumble Inc. is the parent company of Bumble, Badoo, Fruitz and Official. The Bumble platform enables people to build healthy and equitable relationships, through kind connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date), friendship (Bumble BFF) and professional networking (Bumble Bizz). Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. Fruitz, founded in 2017, encourages open and honest communication of dating intentions through playful fruit metaphors. Official is an app for couples that promotes open and honest communication between partners and was founded in 2020. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3999513062,https://uk.linkedin.com/jobs/view/senior-data-scientist-product-analytics-at-bumble-inc-3999513062?position=36&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=DE8iiUWCSJ%2FErl7nNxTkkQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Data Scientist, Product Analytics",Bumble Inc.,"London, England, United Kingdom","Bumble is looking for a senior data scientist to join our team and play a key role in fulfilling our mission of being the # 1 choice for people to find love, friendship and community around the world. + +At Bumble, analytics functions as a core driver of business impact alongside engineering, product, and operations. We are constantly looking for opportunities, providing actionable insights, and navigating trade-offs. + +The ideal candidate has extensive experience in experimentation and causal inference. They combine strong business acumen with a passion for building products customers love and a continuous desire to develop their craft. + + + + +WHAT YOU WILL BE DOING +Proactively identify opportunities and contribute insights that influence decision-making.  +Design metrics to provide structure and clarity for product and business teams. Helping to evaluate trade-offs and measure the success of product efforts +Act as a subject matter expert in experimentation and causal inference +Influence leadership to drive more data-informed decisions. This requires bringing a holistic view of the health of our ecosystem.  +Continuously push and adopt best practices across the advanced data analytics team + + + + + +WE’D LOVE TO MEET SOMEONE WITH +Deep expertise in experimentation, A|B testing and causal inference +Experience with a wide range of analytical approaches, methodologies and frameworks +Excellent communication and collaboration skills. Experience using data to push forward product development +An ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders +A dedication and commitment to developing your craft +A deep understanding of advanced SQL techniques, Python and data modelling + + + + + +AN ADDED BONUS IF YOU HAVE +An understanding of multi-sided markets and/or the dating problem space + + + + + +Show more ","
    + + + + + +
    +
    +

    Bumble is looking for a senior data scientist to join our team and play a key role in fulfilling our mission of being the # 1 choice for people to find love, friendship and community around the world.

    At Bumble, analytics functions as a core driver of business impact alongside engineering, product, and operations. We are constantly looking for opportunities, providing actionable insights, and navigating trade-offs.

    The ideal candidate has extensive experience in experimentation and causal inference. They combine strong business acumen with a passion for building products customers love and a continuous desire to develop their craft.


    WHAT YOU WILL BE DOING
    • Proactively identify opportunities and contribute insights that influence decision-making. 
    • Design metrics to provide structure and clarity for product and business teams. Helping to evaluate trade-offs and measure the success of product efforts
    • Act as a subject matter expert in experimentation and causal inference
    • Influence leadership to drive more data-informed decisions. This requires bringing a holistic view of the health of our ecosystem. 
    • Continuously push and adopt best practices across the advanced data analytics team


    WE’D LOVE TO MEET SOMEONE WITH
    • Deep expertise in experimentation, A|B testing and causal inference
    • Experience with a wide range of analytical approaches, methodologies and frameworks
    • Excellent communication and collaboration skills. Experience using data to push forward product development
    • An ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders
    • A dedication and commitment to developing your craft
    • A deep understanding of advanced SQL techniques, Python and data modelling


    AN ADDED BONUS IF YOU HAVE
    • An understanding of multi-sided markets and/or the dating problem space


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4005642309,https://uk.linkedin.com/jobs/view/data-scientist-product-merchant-shopping-analytics-at-google-4005642309?position=39&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=s9ukRu97nNl7%2BknhdX4ebQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Product, Merchant Shopping Analytics",Google,"London, England, United Kingdom","Minimum qualifications: + + +Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. +3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL). +1 year of experience managing analytical projects. + + +Preferred qualifications: + + +3 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products. +1 year of experience working in a complex, matrixed organization. +Experience in an industry (e.g., product analyst) or consulting role. +Experience modeling data and building data workflows (pipelines) for preparation of reproducible results and dashboards. +Knowledge of retail and eCommerce domain. +Familiarity with software engineering concepts such as version control. + + +About The Job + +Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. + +Merchant Analytics is a team of data scientists (product and research) who answer the hardest analytical questions about merchants on Google Shopping. We are a diverse team who value the user, impact, product curiosity, ownership, and success for all. Our EMEA team works with stakeholders in London, Zurich, Munich, New York, and California. In this role, you will connect the digital and the physical world. + +Google Shopping is a comprehensive product search engine, a fast-growing product ads business, a significant contributor to Google's line, and an everyday essentials marketplace. We aim to revolutionize shopping by building great user experiences that bring all the world's shoppers and retailers together. + +Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow. + +Responsibilities + + +Identify and deliver impactful commercial insights both to feature teams but also shopping leadership. +Work with cross-disciplinary product teams to identify the problems to be solved and refine business hypotheses to be tested. Be able to identify and scope projects in collaboration with stakeholders. +Partner closely with product managers from multiple areas to understand and inform their strategy. +Design and build metrics, design and review experiments on our merchant and shopping data to spur teams to improve the product, drive value for our users, and sustain trust in our platform. +Explore and understand complex data scenarios with a critical eye on whether data is correct and realistic. + + + +Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +Show more ","
    + + + + + +
    +
    + Minimum qualifications:

    • Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
    • 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
    • 1 year of experience managing analytical projects.

    Preferred qualifications:

    • 3 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.
    • 1 year of experience working in a complex, matrixed organization.
    • Experience in an industry (e.g., product analyst) or consulting role.
    • Experience modeling data and building data workflows (pipelines) for preparation of reproducible results and dashboards.
    • Knowledge of retail and eCommerce domain.
    • Familiarity with software engineering concepts such as version control.

    About The Job

    Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

    Merchant Analytics is a team of data scientists (product and research) who answer the hardest analytical questions about merchants on Google Shopping. We are a diverse team who value the user, impact, product curiosity, ownership, and success for all. Our EMEA team works with stakeholders in London, Zurich, Munich, New York, and California. In this role, you will connect the digital and the physical world.

    Google Shopping is a comprehensive product search engine, a fast-growing product ads business, a significant contributor to Google's line, and an everyday essentials marketplace. We aim to revolutionize shopping by building great user experiences that bring all the world's shoppers and retailers together.

    Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.

    Responsibilities

    • Identify and deliver impactful commercial insights both to feature teams but also shopping leadership.
    • Work with cross-disciplinary product teams to identify the problems to be solved and refine business hypotheses to be tested. Be able to identify and scope projects in collaboration with stakeholders.
    • Partner closely with product managers from multiple areas to understand and inform their strategy.
    • Design and build metrics, design and review experiments on our merchant and shopping data to spur teams to improve the product, drive value for our users, and sustain trust in our platform.
    • Explore and understand complex data scenarios with a critical eye on whether data is correct and realistic.


    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4000167545,https://uk.linkedin.com/jobs/view/data-science-trainee-at-it-career-switch-4000167545?position=41&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=evMptWK%2BMExSPbqT8nucaA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Trainee,IT Career Switch,"Bromley, England, United Kingdom","Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. + +Role + +Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: + +Step 1 - Full Data Science Career Training + +You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. + +Step 2 - CompTIA Data+ + +CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. + +Step 3 - Official Exam + +The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. + +Step 4 - Practical Projects + +Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. + +Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. + +Your Data Science Role + +Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. + +We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. + +We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. +Show more ","
    + + + + + +
    +
    + Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion.

    Role

    Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months:

    Step 1 - Full Data Science Career Training

    You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study.

    Step 2 - CompTIA Data+

    CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd.

    Step 3 - Official Exam

    The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online.

    Step 4 - Practical Projects

    Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned.

    Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage.

    Your Data Science Role

    Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates.

    We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back.

    We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3994771880,https://uk.linkedin.com/jobs/view/machine-learning-engineer-at-truenorth%C2%AE-3994771880?position=42&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=XsUFDez7zJWkm19It8rGDA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,TrueNorth®,"London Area, United Kingdom","One of our clients is in search of a seasoned computer vision engineer with a solid track record. The successful candidate will be crucial in advancing innovative computer vision systems for practical use cases. + + + + +This is a hybrid position in London and is offering up to 65K. + + + + +Key requirements: + + + + +Proven hands-on experience with computer vision technologies and libraries such as OpenCV, PyTorch, TensorFlow +Proficiency in deploying computer vision solutions, including real-time video streaming and image processing. +Proven experience in developing with Python and C++ for production-level applications. +Strong knowledge of GPU architecture and expertise in CuDNN/CUDA programming. +Advanced skills in deep learning neural networks, with the ability to troubleshoot and refine computer vision models to enhance performance and precision. + + + + +** Please note, this role does not offer sponsorship ** + +Show more ","
    + + + + + +
    +
    +

    One of our clients is in search of a seasoned computer vision engineer with a solid track record. The successful candidate will be crucial in advancing innovative computer vision systems for practical use cases.


    This is a hybrid position in London and is offering up to 65K.


    Key requirements:


    • Proven hands-on experience with computer vision technologies and libraries such as OpenCV, PyTorch, TensorFlow
    • Proficiency in deploying computer vision solutions, including real-time video streaming and image processing.
    • Proven experience in developing with Python and C++ for production-level applications.
    • Strong knowledge of GPU architecture and expertise in CuDNN/CUDA programming.
    • Advanced skills in deep learning neural networks, with the ability to troubleshoot and refine computer vision models to enhance performance and precision.


    ** Please note, this role does not offer sponsorship **

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +3994480281,https://uk.linkedin.com/jobs/view/data-scientist-at-datacareers-3994480281?position=43&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=ZsFvVGU43GYPaCC1dAOtdg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,DataCareers,"London, England, United Kingdom","Data Scientist + +6 Month Contract + +Rate: £600 - £650 per day (Inside IR35) + +Location: London / Home (Hybrid) + + + + +Skills: Azure Machine Learning, Azure Databricks, Python, SC Clearance + + + + +We are looking to recruit an SC Cleared Data Scientist for a lead technology consultancy. Working with a client based in central London the Data Scientist will work alongside other Data Scientists to lead and support the implementation of new cloud Data & Analytics services to business users, as well as providing support for existing on premise service offerings. + + + + +This is a hybrid role and you will be required to work 2 days a week in London. Valid SC Clearance is essential. + + + + +The Data Scientist will be working closely with my client's Technology delivery team who are delivering a new Enterprise Data Platform to ensure that the Data Science tooling is delivered in a way which Data Scientists will be able to enjoy using. You will be helping to develop capabilities (e.g. helper libraries) that make the platform easier to use. + + + + +Similarly, you will work alongside colleagues to build analytical pipelines for both on-prem (Cloudera) and Cloud (Azure) platform. + + + + +You will: + + + + +Test new analytical cloud services and work with Technology colleagues to address user pain points. +Support business users with scoping, on-boarding and delivery of their use cases for on prem Data & Analytics Platform and new cloud Enterprise Data Platform. +Lead the delivery of pipelines that ingest, store and analyse data, ensuring that data and analysis are accessible. +Develop capabilities to support enterprise use of my client's Platforms. +Upskill business users in analytical standards and data science tools and techniques. + + + + +Skills & Experience: + + + + +Proficiency in one or more analytical tools e.g. R, Python, Tableau, Apache Spark, etc. +Proficiency in Azure Machine Learning and Azure DataBricks. +Pro-activity and self-starting attitude. +Excellent analytical and problem-solving ability. +Interest in data science techniques and understanding of how to use them to answer real-world questions. +Knowledge and experience of how to maintain data, tools and processes to generate reproducible analysis and implement robust and valuable data solutions. +Experience of leading data science work within a team environment. +Strong written and verbal communication skills to engage effectively with stakeholders at a range of seniorities and knowledge levels. +An open and collaborative approach in order to foster strong positive partnerships with colleagues all over the organisation. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist

    6 Month Contract

    Rate: £600 - £650 per day (Inside IR35)

    Location: London / Home (Hybrid)


    Skills: Azure Machine Learning, Azure Databricks, Python, SC Clearance


    We are looking to recruit an SC Cleared Data Scientist for a lead technology consultancy. Working with a client based in central London the Data Scientist will work alongside other Data Scientists to lead and support the implementation of new cloud Data & Analytics services to business users, as well as providing support for existing on premise service offerings.


    This is a hybrid role and you will be required to work 2 days a week in London. Valid SC Clearance is essential.


    The Data Scientist will be working closely with my client's Technology delivery team who are delivering a new Enterprise Data Platform to ensure that the Data Science tooling is delivered in a way which Data Scientists will be able to enjoy using. You will be helping to develop capabilities (e.g. helper libraries) that make the platform easier to use.


    Similarly, you will work alongside colleagues to build analytical pipelines for both on-prem (Cloudera) and Cloud (Azure) platform.


    You will:


    • Test new analytical cloud services and work with Technology colleagues to address user pain points.
    • Support business users with scoping, on-boarding and delivery of their use cases for on prem Data & Analytics Platform and new cloud Enterprise Data Platform.
    • Lead the delivery of pipelines that ingest, store and analyse data, ensuring that data and analysis are accessible.
    • Develop capabilities to support enterprise use of my client's Platforms.
    • Upskill business users in analytical standards and data science tools and techniques.


    Skills & Experience:


    • Proficiency in one or more analytical tools e.g. R, Python, Tableau, Apache Spark, etc.
    • Proficiency in Azure Machine Learning and Azure DataBricks.
    • Pro-activity and self-starting attitude.
    • Excellent analytical and problem-solving ability.
    • Interest in data science techniques and understanding of how to use them to answer real-world questions.
    • Knowledge and experience of how to maintain data, tools and processes to generate reproducible analysis and implement robust and valuable data solutions.
    • Experience of leading data science work within a team environment.
    • Strong written and verbal communication skills to engage effectively with stakeholders at a range of seniorities and knowledge levels.
    • An open and collaborative approach in order to foster strong positive partnerships with colleagues all over the organisation.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3989168144,https://uk.linkedin.com/jobs/view/data-scientist-at-la-fosse-3989168144?position=45&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=ahmewd%2B6oqHjIh4ELfoFMQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,La Fosse,"London Area, United Kingdom","Data Scientist + +Paying up to £75k + 10% bonus +Remote first policy – Office in Central London if preferred. + + + + +One of La Fosse’s best clients who are an industry leader within the entertainment/ticketing industry are currently hiring for a talented Data Scientist to join the team. + + + + +Even though this company are a global brand, you will be joining a small team of 3/4 and will have a lot of responsibility and play a leading role in rolling out their 3-year project plan, in which they have just launched their first model this year across the UK and USA. This is a pivotal time for the business, and you will help transform the data science capabilities as they build a new cloud-based Data Platform. + + + + +As a Data Scientist, you will leverage their extensive quest data to enhance pricing decisions through dynamic pricing models, supporting the revenue management teams, below are the extended responsibilities: + + + + +Key Responsibilities: + +Develop and enhance the revenue management application. +Utilize our data platform to support and automate decision-making processes. +Forecast customer demand and evaluate the impact of various price management models. +Create visualisations and dashboards to communicate analysis and model outputs. +Collaborate across the business to automate data science and machine learning applications. +Actively participate in our data community to build new capabilities. + + + + +Job requirements: + +Experience in pricing optimisation and demand forecasting. +Analytical skills to transform complex data into actionable insights aligned with business KPIs. +Strong statistical and modelling skills, including time series and ensemble models. +Experience in manipulating and interpreting data from disparate sources. +Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. +Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. +Creativity and innovative thinking to explore diverse data sources for improved predictive models. + + + + +Desirable: + +Experience in a similar industry with limited capacity and variable demand. +Ability to autonomously tackle complex problems with a solution-driven approach. + + + + +If you’re interested in this role and feel you fit the requirements, apply through the AD to find out more! + + + + +Data Scientist + +Show more ","
    + + + + + +
    +
    +

    Data Scientist

    • Paying up to £75k + 10% bonus
    • Remote first policy – Office in Central London if preferred.


    One of La Fosse’s best clients who are an industry leader within the entertainment/ticketing industry are currently hiring for a talented Data Scientist to join the team.


    Even though this company are a global brand, you will be joining a small team of 3/4 and will have a lot of responsibility and play a leading role in rolling out their 3-year project plan, in which they have just launched their first model this year across the UK and USA. This is a pivotal time for the business, and you will help transform the data science capabilities as they build a new cloud-based Data Platform.


    As a Data Scientist, you will leverage their extensive quest data to enhance pricing decisions through dynamic pricing models, supporting the revenue management teams, below are the extended responsibilities:


    Key Responsibilities:

    • Develop and enhance the revenue management application.
    • Utilize our data platform to support and automate decision-making processes.
    • Forecast customer demand and evaluate the impact of various price management models.
    • Create visualisations and dashboards to communicate analysis and model outputs.
    • Collaborate across the business to automate data science and machine learning applications.
    • Actively participate in our data community to build new capabilities.


    Job requirements:

    • Experience in pricing optimisation and demand forecasting.
    • Analytical skills to transform complex data into actionable insights aligned with business KPIs.
    • Strong statistical and modelling skills, including time series and ensemble models.
    • Experience in manipulating and interpreting data from disparate sources.
    • Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc.
    • Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS.
    • Creativity and innovative thinking to explore diverse data sources for improved predictive models.


    Desirable:

    • Experience in a similar industry with limited capacity and variable demand.
    • Ability to autonomously tackle complex problems with a solution-driven approach.


    If you’re interested in this role and feel you fit the requirements, apply through the AD to find out more!


    Data Scientist

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4005131231,https://uk.linkedin.com/jobs/view/ai-research-scientist-at-phaidra-4005131231?position=47&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=4IKhZPLmrxGGuf8fv2nG9Q%3D%3D&trk=public_jobs_jserp-result_search-card,AI Research Scientist,Phaidra,"London, England, United Kingdom","About Phaidra + +Phaidra is building the future of industrial automation. + +The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. + +Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: + + +We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. +We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning. +We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. + + +Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. + +Phaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, Japan, Singapore, and India. + + +Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.** + + +Who You Are + +Research Scientists at Phaidra lead our efforts in developing novel algorithmic architecture towards the end goal of bringing intelligent control systems to industrial sector. + +Having pioneered research in the world's leading academic and industrial labs as PhDs, post-docs or professors, Research Scientists join Phaidra to work collaboratively within and across research fields. + +Drawing on expertise from a variety of disciplines including reinforcement learning, deep learning, robotics and multi-agent reinforcement learning, our Research Scientists are at the forefront of groundbreaking research and applying them to real-world. + + +We are seeking a team member located in one of the following areas: the UK, Norway, Italy, Spain, Portugal, Ireland, the US, or Canada. + + +In the United States, we accept applicants located in the following states: California, Colorado, Connecticut, Georgia, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington. + +In Canada, we accept applicants located in the following provinces: Ontario, British Columbia, and Alberta. + +Responsibilities + + +Design, implement and evaluate models, agents and software prototypes of perceptual processing. +Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing. +Participate in and organize ambitious collaborative research projects. +Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate. +Mentor and guide Research Engineers to apply research findings and developments to industrial domains. + + +Key Qualifications + + +Required: PhD in a technical field or equivalent practical experience, with demonstrated knowledge in one of the following: +Reinforcement Learning +Deep Learning +Control Theory +Multi-Agent RL +Extensive research in the fields of (Model-Based, Model-Free, Safe) RL, Control Theory. +Share our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy. + +Preferred Skills & Experience + + +A proven track record of publications. +A real passion for AI and applying to industrial systems to improve resource efficiency. + + +Our Stack + + +Python +PyTorch, scipy +Kubernetes, Docker, Ray +GCP + + +Onboarding + +In your first 30 days... + + +You will be immersed in an onboarding program that introduces you to Phaidra and our product. +You will spend time in the research team and get introduced to the different tracks of research that we perform. +You will learn how other teams operate, interact, and approach problems. +You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra. +You will set up your development environment and get introduced to various parts of our code base. + + +By your first 60 days... + + +You will have a solid understanding of what Phaidra does and how we do it. +You will have met with team members across Phaidra and started building relationships that will help you be successful at your job. +You will have a good understanding of our research tracks, which allowed you to form a plan for your first project, or maybe, you have already started one. + + +By your first 90 days... + + +You will have been fully integrated in the team and with team members across the company. +You will have started to contribute to knowledge sharing throughout Phaidra. +Your project is in full swing and you might have some early results already. + + +General Interview Process + +All of our interviews are held via Google Meet, and an active camera connection is required. + + +Initial screening interview with a People Operations team member (30 minutes) +Meeting with Hiring Manager (30 minutes) +Meeting with Research team member (60 minutes) +Meeting with Research team member (60 minutes) +Culture fit interview with Phaidra's co-founders (30 minutes) + + +Base Salary + + +UK Residents: £56,000-£91,200/year +Canada Residents: CA$83,200-CA$138,000/year +US Residents: $68,800-$135,600/year + + +Salary ranges for other countries (Italy, Spain, Portugal, Norway, Ireland) will vary based on the market rate for the location. + +This position will also include equity. + +These are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation. + +Benefits & Perks + + +Fast-paced and team-oriented environment where you will be instrumental in the direction of the company. +Phaidra is a 100% remote company with a digital nomad policy. +Competitive compensation & equity. +Outsized responsibilities & professional development. +Training is foundational; functional, customer immersion, and development training. +Medical, dental, and vision insurance (exact benefits vary by region). +Unlimited paid time off, with a minimum of 20 days off per year requirement. +Paid parental leave (exact benefits vary by region). +Home office setup allowance, coworking space stipend, and company MacBook. +Please note that Phaidra's benefits and perks listed above do not apply to temporary employees such as interns. + + +On being Remote + +We are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings weekly to build strong relationships. We hold virtual team building events once per quarter - and even hold virtual socials to watch rocket launches! We have had all-company summits in locations like Seattle, Athens, Goa, and Barcelona. + +Equal Opportunity Employment + +Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai. + +E-Verify Notice + +Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. + +Additional Information About E-Verify Can Be Found Here. + +WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS. + + +Show more ","
    + + + + + +
    +
    + About Phaidra

    Phaidra is building the future of industrial automation.

    The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.

    Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:

    • We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.
    • We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.
    • We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.

    Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.

    Phaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, Japan, Singapore, and India.

    • Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**

    Who You Are

    Research Scientists at Phaidra lead our efforts in developing novel algorithmic architecture towards the end goal of bringing intelligent control systems to industrial sector.

    Having pioneered research in the world's leading academic and industrial labs as PhDs, post-docs or professors, Research Scientists join Phaidra to work collaboratively within and across research fields.

    Drawing on expertise from a variety of disciplines including reinforcement learning, deep learning, robotics and multi-agent reinforcement learning, our Research Scientists are at the forefront of groundbreaking research and applying them to real-world.

    • We are seeking a team member located in one of the following areas: the UK, Norway, Italy, Spain, Portugal, Ireland, the US, or Canada.

    In the United States, we accept applicants located in the following states: California, Colorado, Connecticut, Georgia, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington.

    In Canada, we accept applicants located in the following provinces: Ontario, British Columbia, and Alberta.

    Responsibilities

    • Design, implement and evaluate models, agents and software prototypes of perceptual processing.
    • Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
    • Participate in and organize ambitious collaborative research projects.
    • Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
    • Mentor and guide Research Engineers to apply research findings and developments to industrial domains.

    Key Qualifications

    • Required: PhD in a technical field or equivalent practical experience, with demonstrated knowledge in one of the following:
      • Reinforcement Learning
      • Deep Learning
      • Control Theory
      • Multi-Agent RL
    • Extensive research in the fields of (Model-Based, Model-Free, Safe) RL, Control Theory.
    • Share our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy.
    Preferred Skills & Experience

    • A proven track record of publications.
    • A real passion for AI and applying to industrial systems to improve resource efficiency.

    Our Stack

    • Python
    • PyTorch, scipy
    • Kubernetes, Docker, Ray
    • GCP

    Onboarding

    In your first 30 days...

    • You will be immersed in an onboarding program that introduces you to Phaidra and our product.
    • You will spend time in the research team and get introduced to the different tracks of research that we perform.
    • You will learn how other teams operate, interact, and approach problems.
    • You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.
    • You will set up your development environment and get introduced to various parts of our code base.

    By your first 60 days...

    • You will have a solid understanding of what Phaidra does and how we do it.
    • You will have met with team members across Phaidra and started building relationships that will help you be successful at your job.
    • You will have a good understanding of our research tracks, which allowed you to form a plan for your first project, or maybe, you have already started one.

    By your first 90 days...

    • You will have been fully integrated in the team and with team members across the company.
    • You will have started to contribute to knowledge sharing throughout Phaidra.
    • Your project is in full swing and you might have some early results already.

    General Interview Process

    All of our interviews are held via Google Meet, and an active camera connection is required.

    • Initial screening interview with a People Operations team member (30 minutes)
    • Meeting with Hiring Manager (30 minutes)
    • Meeting with Research team member (60 minutes)
    • Meeting with Research team member (60 minutes)
    • Culture fit interview with Phaidra's co-founders (30 minutes)

    Base Salary

    • UK Residents: £56,000-£91,200/year
    • Canada Residents: CA$83,200-CA$138,000/year
    • US Residents: $68,800-$135,600/year

    Salary ranges for other countries (Italy, Spain, Portugal, Norway, Ireland) will vary based on the market rate for the location.

    This position will also include equity.

    These are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.

    Benefits & Perks

    • Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.
    • Phaidra is a 100% remote company with a digital nomad policy.
    • Competitive compensation & equity.
    • Outsized responsibilities & professional development.
    • Training is foundational; functional, customer immersion, and development training.
    • Medical, dental, and vision insurance (exact benefits vary by region).
    • Unlimited paid time off, with a minimum of 20 days off per year requirement.
    • Paid parental leave (exact benefits vary by region).
    • Home office setup allowance, coworking space stipend, and company MacBook.
    • Please note that Phaidra's benefits and perks listed above do not apply to temporary employees such as interns.

    On being Remote

    We are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings weekly to build strong relationships. We hold virtual team building events once per quarter - and even hold virtual socials to watch rocket launches! We have had all-company summits in locations like Seattle, Athens, Goa, and Barcelona.

    Equal Opportunity Employment

    Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai.

    E-Verify Notice

    Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States.

    Additional Information About E-Verify Can Be Found Here.

    WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

     +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4004485859,https://uk.linkedin.com/jobs/view/machine-learning-engineer-at-sr2-socially-responsible-recruitment-certified-b-corporation%E2%84%A2-4004485859?position=48&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=k1OsjH96MSuU1e8RpcQI2A%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,SR2 | Socially Responsible Recruitment | Certified B Corporation™,"London Area, United Kingdom","Machine Learning Engineer – London - £65,000 + Shares + + + + +Start ups will give some amazing experience. As the business grows so does the tech, the tools you use but also the environment. So you don’t just pick up technical skills but commercials ones. You learn how business works. + + + + +In the short term in this role, your learning will mostly focus on the tech. You are going to be part of a small team working on Machine Learning projects. + + + + +The product you build accelerates NetZero and helps with energy efficiency. It ends up saving the everyday person lots of money year on year and ensures less carbon is in the atmosphere. + + + + +The office is in central London and they have hybrid set-up. So it’s 2-3 days in with some flexible hours. + + + + +Experience needed is: + + + + +Python (in a commercial setting) +Knowledge of Thermodynamics in (outside of Academia) +Experience working on Machine Learning Projects + + + + +The ML Part of the role has a large emphasis on algorithms and developing / training predictive machine learning models. For immediate consideration please apply. Unfortunately, there is no sponsorship offered for this role. + +Show more ","
    + + + + + +
    +
    +

    Machine Learning Engineer – London - £65,000 + Shares


    Start ups will give some amazing experience. As the business grows so does the tech, the tools you use but also the environment. So you don’t just pick up technical skills but commercials ones. You learn how business works.


    In the short term in this role, your learning will mostly focus on the tech. You are going to be part of a small team working on Machine Learning projects.


    The product you build accelerates NetZero and helps with energy efficiency. It ends up saving the everyday person lots of money year on year and ensures less carbon is in the atmosphere.


    The office is in central London and they have hybrid set-up. So it’s 2-3 days in with some flexible hours.


    Experience needed is:


    • Python (in a commercial setting)
    • Knowledge of Thermodynamics in (outside of Academia)
    • Experience working on Machine Learning Projects


    The ML Part of the role has a large emphasis on algorithms and developing / training predictive machine learning models. For immediate consideration please apply. Unfortunately, there is no sponsorship offered for this role.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4002212192,https://uk.linkedin.com/jobs/view/data-scientist-at-compare-the-market-4002212192?position=49&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=1P2LX0CoIpWpIphHbN%2F5Vg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Compare the Market,"London, England, United Kingdom","Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day. + +It’s why we’re on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a brand everyone loves! + +We change lives by making it simple to switch and save money and that’s why good things happen when you meerkat. + +We’d love you to be part of our journey. + +As Data Scientist you will identify and develop new applications of data science and AI across the business and will also help to enhance existing data science products. Your work will directly to enhance our customer propositions using a variety of supervised and unsupervised machine learning methods and you will be responsible for the end-to-end delivery of Data Science initiatives. This is a highly collaborative role, and you will have opportunities to work with a wide range of teams to identify use cases, including personalisation. + +Everyone is welcome. + +We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins. We are an inclusive organisation and our colleagues are comfortable bringing their authentic, whole selves to work. Everyone is welcome. + +This means we’re excited to hear from people with a range of skills, experiences and ideas. We don’t expect you to tick all the boxes, but would love to hear what makes you great for this role. + +Some of the great things you’ll be doing: + + +Work with key stakeholders to convert business problems into a data science framework / solution (e.g. Marketing, Product, UX/CX) +Manage the scoping and delivery of data science projects (including requirements, feasibility, timelines) +Partner with ML Engineers to ensure that all models are put into production and deliver clear impact to the business +Communicate technical output and results to a non-technical audience in an engaging and impactful way - you will present your findings to senior management to drive the decision-making process + + + +What we’d like to see from you: + + +A passion and motivation for using Data Science to solve real world customer problems +Demonstrable experience in end-to-end AI / machine learning model development +Strong proficiency in Python & SQL +Outcome focused +Naturally curious and self-motivated learner +Effective communicator with an understanding for both the power and limits of data + + + +There’s something for everyone. + +We’re a place of opportunity. You’ll have the tools and autonomy to drive your own career, supported by a team of amazingly talented people. + +And then there’s our benefits. For us, it’s not just about a competitive salary and hybrid working, we care about what matters to you. From a generous holiday allowance and private healthcare to an electric car scheme and paid development, wellbeing and CSR days, we’ve got you covered! + + +Show more ","
    + + + + + +
    +
    + Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day.

    It’s why we’re on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a brand everyone loves!

    We change lives by making it simple to switch and save money and that’s why good things happen when you meerkat.

    We’d love you to be part of our journey.

    As Data Scientist you will identify and develop new applications of data science and AI across the business and will also help to enhance existing data science products. Your work will directly to enhance our customer propositions using a variety of supervised and unsupervised machine learning methods and you will be responsible for the end-to-end delivery of Data Science initiatives. This is a highly collaborative role, and you will have opportunities to work with a wide range of teams to identify use cases, including personalisation.

    Everyone is welcome.

    We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins. We are an inclusive organisation and our colleagues are comfortable bringing their authentic, whole selves to work. Everyone is welcome.

    This means we’re excited to hear from people with a range of skills, experiences and ideas. We don’t expect you to tick all the boxes, but would love to hear what makes you great for this role.

    Some of the great things you’ll be doing:

    • Work with key stakeholders to convert business problems into a data science framework / solution (e.g. Marketing, Product, UX/CX)
    • Manage the scoping and delivery of data science projects (including requirements, feasibility, timelines)
    • Partner with ML Engineers to ensure that all models are put into production and deliver clear impact to the business
    • Communicate technical output and results to a non-technical audience in an engaging and impactful way - you will present your findings to senior management to drive the decision-making process


    What we’d like to see from you:

    • A passion and motivation for using Data Science to solve real world customer problems
    • Demonstrable experience in end-to-end AI / machine learning model development
    • Strong proficiency in Python & SQL
    • Outcome focused
    • Naturally curious and self-motivated learner
    • Effective communicator with an understanding for both the power and limits of data


    There’s something for everyone.

    We’re a place of opportunity. You’ll have the tools and autonomy to drive your own career, supported by a team of amazingly talented people.

    And then there’s our benefits. For us, it’s not just about a competitive salary and hybrid working, we care about what matters to you. From a generous holiday allowance and private healthcare to an electric car scheme and paid development, wellbeing and CSR days, we’ve got you covered!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4008628214,https://uk.linkedin.com/jobs/view/data-scientist-at-houseful-4008628214?position=53&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=oIeX78zrvYz6pe15pdwo1g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Houseful,"London, England, United Kingdom","We want to make Houseful more welcoming, fair, and representative. If your background is underrepresented in the technology or property sectors, we actively encourage your application. + +Hybrid - Minimum 2 days on-site in London, Tower Bridge HQ + +At Houseful, we're here to help everyone make intelligent decisions about their home. + +Do the best work of your life! + +Houseful is home to trusted brands Zoopla, Alto, Hometrack, Calcasa, Mojo and Prime Location. Together, we're creating the connections that power better property decisions, by unlocking the combined strength of software, data and insight. + +We make moves with head and heart to achieve our big ambitions, and to drive progress in the property market. There's never been a better time to join us. + +Hometrack + +Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering market-leading valuation and property data services to the financial, property, and technology industries. Our key commercial and go-to-market segment is in financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers. + +The role + +At Hometrack, we are looking for a talented Data Scientist with demonstrable experience in machine learning. Our Data Science team aims to implement data science into our automated valuation models to ensure we deliver the best products for customers. To achieve this objective, we need your support with: + + +Researching new datasets and advanced machine learning techniques that can be used to increase the accuracy of our property valuation model and improve our AI capabilities across our model and product range +Ensuring our models perform well in real-world conditions and monitoring their performance over time +Work collaboratively with fellow Data Scientists, Analysts and Data Engineers +Meeting with stakeholders to translate business needs into data science problems + + + +Requirements + + +An advanced degree in Computer Science, Mathematics, Physics or other quantitative discipline +Strong sense of responsibility and a track record of delivering high-quality results in a fast-paced environment +Proficient in Python and its associated libraries such as Sckit-learn, Pandas, NumPy, PyTorch, PySpark and LightGBM +At least two years experience applying data science to business/real world applications +Have some experience with data engineering, building data pipelines with PySpark or SQL to power machine learning applications +Comfortable working with version control systems (e.g git) +Experienced at identifying problems that can be solved with machine learning and delivering them from prototype through to production +Great communicator - convey complex ideas and solutions in clear, precise and accessible ways + + +If you don't meet all these requirements but think you would be a good fit for the role, please still reach out! + +Benefits + + +Everyday Flex - greater flexibility over where and when you work +25 days annual leave + extra days for years of service +Day off for volunteering & Digital detox day +Festive Closure - business closed for period between Christmas and New Year +Cycle to work and electric car schemes +Free Calm App membership +Enhanced Parental leave +Fertility Treatment Financial Support +Group Income Protection and private medical insurance +Gym on-site in London +7.5% pension contribution by the company +Discretionary annual bonus up to 10% of base salary +Talent referral bonus up to £5K +Show more ","
    + + + + + +
    +
    + We want to make Houseful more welcoming, fair, and representative. If your background is underrepresented in the technology or property sectors, we actively encourage your application.

    Hybrid - Minimum 2 days on-site in London, Tower Bridge HQ

    At Houseful, we're here to help everyone make intelligent decisions about their home.

    Do the best work of your life!

    Houseful is home to trusted brands Zoopla, Alto, Hometrack, Calcasa, Mojo and Prime Location. Together, we're creating the connections that power better property decisions, by unlocking the combined strength of software, data and insight.

    We make moves with head and heart to achieve our big ambitions, and to drive progress in the property market. There's never been a better time to join us.

    Hometrack

    Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering market-leading valuation and property data services to the financial, property, and technology industries. Our key commercial and go-to-market segment is in financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers.

    The role

    At Hometrack, we are looking for a talented Data Scientist with demonstrable experience in machine learning. Our Data Science team aims to implement data science into our automated valuation models to ensure we deliver the best products for customers. To achieve this objective, we need your support with:

    • Researching new datasets and advanced machine learning techniques that can be used to increase the accuracy of our property valuation model and improve our AI capabilities across our model and product range
    • Ensuring our models perform well in real-world conditions and monitoring their performance over time
    • Work collaboratively with fellow Data Scientists, Analysts and Data Engineers
    • Meeting with stakeholders to translate business needs into data science problems


    Requirements

    • An advanced degree in Computer Science, Mathematics, Physics or other quantitative discipline
    • Strong sense of responsibility and a track record of delivering high-quality results in a fast-paced environment
    • Proficient in Python and its associated libraries such as Sckit-learn, Pandas, NumPy, PyTorch, PySpark and LightGBM
    • At least two years experience applying data science to business/real world applications
    • Have some experience with data engineering, building data pipelines with PySpark or SQL to power machine learning applications
    • Comfortable working with version control systems (e.g git)
    • Experienced at identifying problems that can be solved with machine learning and delivering them from prototype through to production
    • Great communicator - convey complex ideas and solutions in clear, precise and accessible ways

    If you don't meet all these requirements but think you would be a good fit for the role, please still reach out!

    Benefits

    • Everyday Flex - greater flexibility over where and when you work
    • 25 days annual leave + extra days for years of service
    • Day off for volunteering & Digital detox day
    • Festive Closure - business closed for period between Christmas and New Year
    • Cycle to work and electric car schemes
    • Free Calm App membership
    • Enhanced Parental leave
    • Fertility Treatment Financial Support
    • Group Income Protection and private medical insurance
    • Gym on-site in London
    • 7.5% pension contribution by the company
    • Discretionary annual bonus up to 10% of base salary
    • Talent referral bonus up to £5K
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4005664651,https://uk.linkedin.com/jobs/view/ml-research-engineer-%E2%80%94-natural-language-processing-at-dynamo-ai-4005664651?position=55&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=mMbtzdPMlp%2BCqbGffv9LzQ%3D%3D&trk=public_jobs_jserp-result_search-card,ML Research Engineer — Natural Language Processing,Dynamo AI,"London, England, United Kingdom","At Dynamo AI, we believe that LLMs must be developed with safety, privacy, and real-world responsibility in mind. Our ML team comes from a culture of academic research driven to democratize AI advancements responsibly. By operating at the intersection of ML research and industry applications, our team empowers Fortune 500 companies’ adoption of frontier research for their next generation of LLM products. As a Machine Learning Engineer - NLP, you will design, develop, and maintain ML code for our products centered around LLM safety and privacy. Join us if you:QualificationsDynamo AI is committed to maintaining compliance with all applicable local and state laws regarding job listings and salary transparency. This includes adhering to specific regulations that mandate the disclosure of salary ranges in job postings or upon request during the hiring process. We strive to ensure our practices promote fairness, equity, and transparency for all candidates. Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate. + + +Wish to work on the premier platform for AI safety, compliance and privacy. We provide the fastest end to end solution to deploy research in the real world with our fast-paced team of ML Ph.D.’s and builders, free of Big Tech / academic bureaucracy and constraints +Are excited at the idea of democratizing and productionizing state-of-the-art research on safe and responsible AI +Wish to work on scaling and robustifying Dynamo AI’s products through intelligent designs and rigorous implementations +Are motivated to work at a 2023 CB Insights Top 100 AI Startup and see your impact on end customers in the timeframe of weeks not years +Care about building a platform to empower fair, unbiased, and responsible development of LLMs and don’t accept the status quo of sacrificing user safety for the sake of ML advancement. Responsibilities +Be responsible of a vertical for Dynamo AI’s state-of-the-art safety guardrails +Perform rigorous testing of the product features and ensure seamless integrations with customers’ AI workflows +Push the envelope by implementing novel techniques that delivers the world’s most performing models. Your work will directly empower our customers to more feasibly deploy safe and responsible LLMs +Work closely with our policy, product, and engineering teams to ship features to customers +Deep domain knowledge in Natural Language Processing, especially entity recognition tasks +Extensive experience in designing, implementing, and maintaining production-ready ML code +Past experience in leading an end-to-end NLP feature. Including problem formulation, data gathering, training and benchmarking/quality assurance +Adaptability and flexibility. In both the academic and startup world, a new finding in the community may necessitate an abrupt shift in focus. You must be able to learn, implement, and extend state-of-the-art research in short time-frames +Preferred: Past experience with NER for PII detection and/or synthetic data generation + +Show more ","
    + + + + + +
    +
    + At Dynamo AI, we believe that LLMs must be developed with safety, privacy, and real-world responsibility in mind. Our ML team comes from a culture of academic research driven to democratize AI advancements responsibly. By operating at the intersection of ML research and industry applications, our team empowers Fortune 500 companies’ adoption of frontier research for their next generation of LLM products. As a Machine Learning Engineer - NLP, you will design, develop, and maintain ML code for our products centered around LLM safety and privacy. Join us if you:QualificationsDynamo AI is committed to maintaining compliance with all applicable local and state laws regarding job listings and salary transparency. This includes adhering to specific regulations that mandate the disclosure of salary ranges in job postings or upon request during the hiring process. We strive to ensure our practices promote fairness, equity, and transparency for all candidates. Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.

    • Wish to work on the premier platform for AI safety, compliance and privacy. We provide the fastest end to end solution to deploy research in the real world with our fast-paced team of ML Ph.D.’s and builders, free of Big Tech / academic bureaucracy and constraints
    • Are excited at the idea of democratizing and productionizing state-of-the-art research on safe and responsible AI
    • Wish to work on scaling and robustifying Dynamo AI’s products through intelligent designs and rigorous implementations
    • Are motivated to work at a 2023 CB Insights Top 100 AI Startup and see your impact on end customers in the timeframe of weeks not years
    • Care about building a platform to empower fair, unbiased, and responsible development of LLMs and don’t accept the status quo of sacrificing user safety for the sake of ML advancement. Responsibilities
    • Be responsible of a vertical for Dynamo AI’s state-of-the-art safety guardrails
    • Perform rigorous testing of the product features and ensure seamless integrations with customers’ AI workflows
    • Push the envelope by implementing novel techniques that delivers the world’s most performing models. Your work will directly empower our customers to more feasibly deploy safe and responsible LLMs
    • Work closely with our policy, product, and engineering teams to ship features to customers
    • Deep domain knowledge in Natural Language Processing, especially entity recognition tasks
    • Extensive experience in designing, implementing, and maintaining production-ready ML code
    • Past experience in leading an end-to-end NLP feature. Including problem formulation, data gathering, training and benchmarking/quality assurance
    • Adaptability and flexibility. In both the academic and startup world, a new finding in the community may necessitate an abrupt shift in focus. You must be able to learn, implement, and extend state-of-the-art research in short time-frames
    • Preferred: Past experience with NER for PII detection and/or synthetic data generation
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3970047906,https://uk.linkedin.com/jobs/view/data-scientist-at-creative-artists-agency-3970047906?position=56&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=ttlj5mHH6ymrY8sEU27Lcw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Creative Artists Agency,"London, England, United Kingdom","Job Description + +THE AGENCY + +CAA Sports UK is a division of Creative Artists Agency (CAA). CAA is the world’s leading entertainment and sports agency, with offices in Los Angeles, New York, Nashville, London and Beijing. Founded in 1975, CAA represents many of the most successful professionals working in film, television, music, theatre, video games, sport, and digital content, and provides a range of strategic marketing and consulting services to corporate clients. + +CAA Base is the agency for professional footballers dedicated to the ongoing development and management of their careers. Established in 1997, with its Head Office in London and supported by consultant offices throughout Europe, South America, Australasia and North America, CAA Base’s extensive network provides maximum opportunity for its clients’ movement and onward careers. + +OVERVIEW: + +CAA Base are recruiting for a Data Scientist to enhance the agency’s use of advanced performance data. Reporting into the Player ID & Data Insights Manager, this role will lead the architecture of multiple sources of raw data and further develop existing predictive modelling and data visualisation. This will enhance the automation and delivery of accurate insights and guidance to be applied by agents, recruitment analysts, and operations staff, primarily in the identification, recruitment and retention of elite football players and managers/coaches. + +KEY TASKS AND RESPONSIBILITIES: + + +Using data to derive accurate insights on professional football players, managers/coaches, and team tactical systems, continually optimizing the modelling processes +Handling APIs, managing databases, handling large data sets, statistical modelling, and data visualisation +Enhancing processes to automate the data-driven identification of prospective clients +Applying insights to project player development trajectories, assisting in the development of clients, adding evidence to contract negotiation processes +Assisting in recruitment process, working with the Design & Analysis team internally to optimally leverage data insights within presentations +Building and developing relationships with data scientists working in clubs +Developing close working relationships with key stakeholders across the agency, including the wider CAA Data Team +Staying aware of the latest developments and research within the ‘football analytics’ industry + + + +Essental Requirements + + +An excellent academic record, qualified to degree level within a quantitative/STEM discipline (e.g. Statistics, Physics, Applied Mathematics, Engineering, Computer Science etc.) +A track record in handling APIs, managing databases, handling large data sets, statistical modelling, and data visualisation, being proficient with programming languages (preferably Python) +A critical thinker with a flair for interrogating and synthesizing insights to derive solutions from sometimes incomplete and disparate datasets, with an understanding of the strengths and weaknesses of various quantitative and qualitative research methodologies +A proactive, structured and detailed approach to problem solving, being comfortable working across multiple projects simultaneously to sometimes tight deadlines +Excellent organisational skills +Ability to prioritise workload +Good verbal and written communication skills +A passion for the rigorous analysis of football and data-driven decision making +Proven and demonstrable experience building relationships and dealing with sensitive situations with confidentiality and discretion + + + +Desirable Requirements + + +Knowledge of the ‘football analytics’ landscape, which may include experience of working with performance data products (e.g. Wyscout, Skillcorner, StatsBomb) +Experience using data to analyse football – players, tactical frameworks, coaches etc +Experience working as a data scientist/similar quantitative role +Having worked within a professional sports organisation as an analyst/data scientist, although a keen interest and transferable skills may go further +Experience as a football player or coach +Experience presenting insights to non-technical audiences + + + +Please ensure you provide complete and legible information in your application. An incomplete application may affect your consideration for employment. + +Creative Artists Agency (“CAA”) is committed to promoting equal opportunities in employment and creating a workplace culture in which diversity and inclusion is valued and everyone is treated with dignity and respect. As part of our zero-tolerance approach to discrimination in any form, you and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation, or any other legally recognised protected basis under UK law. + +Please inform CAA’s Recruitment Department if you need any assistance completing any forms or to otherwise participate in the application process. + +CAA does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by CAA to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that CAA will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. +Show more ","
    + + + + + +
    +
    + Job Description

    THE AGENCY

    CAA Sports UK is a division of Creative Artists Agency (CAA). CAA is the world’s leading entertainment and sports agency, with offices in Los Angeles, New York, Nashville, London and Beijing. Founded in 1975, CAA represents many of the most successful professionals working in film, television, music, theatre, video games, sport, and digital content, and provides a range of strategic marketing and consulting services to corporate clients.

    CAA Base is the agency for professional footballers dedicated to the ongoing development and management of their careers. Established in 1997, with its Head Office in London and supported by consultant offices throughout Europe, South America, Australasia and North America, CAA Base’s extensive network provides maximum opportunity for its clients’ movement and onward careers.

    OVERVIEW:

    CAA Base are recruiting for a Data Scientist to enhance the agency’s use of advanced performance data. Reporting into the Player ID & Data Insights Manager, this role will lead the architecture of multiple sources of raw data and further develop existing predictive modelling and data visualisation. This will enhance the automation and delivery of accurate insights and guidance to be applied by agents, recruitment analysts, and operations staff, primarily in the identification, recruitment and retention of elite football players and managers/coaches.

    KEY TASKS AND RESPONSIBILITIES:

    • Using data to derive accurate insights on professional football players, managers/coaches, and team tactical systems, continually optimizing the modelling processes
    • Handling APIs, managing databases, handling large data sets, statistical modelling, and data visualisation
    • Enhancing processes to automate the data-driven identification of prospective clients
    • Applying insights to project player development trajectories, assisting in the development of clients, adding evidence to contract negotiation processes
    • Assisting in recruitment process, working with the Design & Analysis team internally to optimally leverage data insights within presentations
    • Building and developing relationships with data scientists working in clubs
    • Developing close working relationships with key stakeholders across the agency, including the wider CAA Data Team
    • Staying aware of the latest developments and research within the ‘football analytics’ industry


    Essental Requirements

    • An excellent academic record, qualified to degree level within a quantitative/STEM discipline (e.g. Statistics, Physics, Applied Mathematics, Engineering, Computer Science etc.)
    • A track record in handling APIs, managing databases, handling large data sets, statistical modelling, and data visualisation, being proficient with programming languages (preferably Python)
    • A critical thinker with a flair for interrogating and synthesizing insights to derive solutions from sometimes incomplete and disparate datasets, with an understanding of the strengths and weaknesses of various quantitative and qualitative research methodologies
    • A proactive, structured and detailed approach to problem solving, being comfortable working across multiple projects simultaneously to sometimes tight deadlines
    • Excellent organisational skills
    • Ability to prioritise workload
    • Good verbal and written communication skills
    • A passion for the rigorous analysis of football and data-driven decision making
    • Proven and demonstrable experience building relationships and dealing with sensitive situations with confidentiality and discretion


    Desirable Requirements

    • Knowledge of the ‘football analytics’ landscape, which may include experience of working with performance data products (e.g. Wyscout, Skillcorner, StatsBomb)
    • Experience using data to analyse football – players, tactical frameworks, coaches etc
    • Experience working as a data scientist/similar quantitative role
    • Having worked within a professional sports organisation as an analyst/data scientist, although a keen interest and transferable skills may go further
    • Experience as a football player or coach
    • Experience presenting insights to non-technical audiences


    Please ensure you provide complete and legible information in your application. An incomplete application may affect your consideration for employment.

    Creative Artists Agency (“CAA”) is committed to promoting equal opportunities in employment and creating a workplace culture in which diversity and inclusion is valued and everyone is treated with dignity and respect. As part of our zero-tolerance approach to discrimination in any form, you and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation, or any other legally recognised protected basis under UK law.

    Please inform CAA’s Recruitment Department if you need any assistance completing any forms or to otherwise participate in the application process.

    CAA does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by CAA to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that CAA will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3928957295,https://uk.linkedin.com/jobs/view/machine-learning-engineer-nlp-trust-safety-at-bumble-inc-3928957295?position=58&pageNum=0&refId=z1KPK79aEYYpf72%2FW4ELmw%3D%3D&trackingId=2hRkM1JtVEoN%2BY4OGzlqtw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer (NLP) - Trust & Safety,Bumble Inc.,"London, England, United Kingdom","Bumble is looking for a Machine Learning Engineer (NLP) to join our Trust & Safety team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable. Concretely, we are looking for talents with a deep understanding of NLP algorithms (Transformers, LLMs, etc) and rich hands-on experience in building text-based ML systems. This means exploring, developing and deploying state of the art machine learning models that help Bumble provide a safe and engaging experience for our users and improve the way Bumble operates. + +With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people find love all over the world! The ideal candidate combines strong business acumen, extensive experience in machine learning applications (specifically in NLP), and a passion for tech. + +What You Will Be Doing + + +Work in a cross-functional team alongside data scientists, machine learning engineers, and both technical and non-technical stakeholders. +Explore, develop and deliver new cutting-edge solutions for text-based ML, leveraging technologies like transformers, LLMs, etc. +Set up and conduct large-scale experiments to test hypotheses and drive product development. +Working with our MLOps Core K8s platform directly to efficiently serve models at a global scale. +Deploy models, and lead their continuous monitoring & improvement. +Keep up with state-of-the-art research, with the opportunity to create prototypes for the business and publish at top conferences. + + +WE’D LOVE TO MEET SOMEONE WITH + + +An advanced degree in Computer Science, Mathematics or a similar quantitative discipline +Experience in designing, developing, and training NLP models +Experience with Kubernetes +Understanding of software development life cycle processes and tools - ETL pipelines, CI/CD, testing frameworks +Strong statistical modelling skills - hypotheses testing, inference, regressions, random variables, etc. +The ability to work collaboratively alongside scientists, engineers and non-technical stakeholders +Passion for keeping up with the latest ongoings in Data Science and Machine Learning communities +A curious mind, who is a self-starter and endlessly keen to learn and develop themselves professionally + + +AN ADDED BONUS IF YOU HAVE + + +An understanding of/experience with the Trust & Safety space +Experience with cloud infrastructures - GCP is a plus +Publications in top data science conferences like KDD, ECML, NeurIPS +Show more ","
    + + + + + +
    +
    + Bumble is looking for a Machine Learning Engineer (NLP) to join our Trust & Safety team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable. Concretely, we are looking for talents with a deep understanding of NLP algorithms (Transformers, LLMs, etc) and rich hands-on experience in building text-based ML systems. This means exploring, developing and deploying state of the art machine learning models that help Bumble provide a safe and engaging experience for our users and improve the way Bumble operates.

    With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people find love all over the world! The ideal candidate combines strong business acumen, extensive experience in machine learning applications (specifically in NLP), and a passion for tech.

    What You Will Be Doing

    • Work in a cross-functional team alongside data scientists, machine learning engineers, and both technical and non-technical stakeholders.
    • Explore, develop and deliver new cutting-edge solutions for text-based ML, leveraging technologies like transformers, LLMs, etc.
    • Set up and conduct large-scale experiments to test hypotheses and drive product development.
    • Working with our MLOps Core K8s platform directly to efficiently serve models at a global scale.
    • Deploy models, and lead their continuous monitoring & improvement.
    • Keep up with state-of-the-art research, with the opportunity to create prototypes for the business and publish at top conferences.

    WE’D LOVE TO MEET SOMEONE WITH

    • An advanced degree in Computer Science, Mathematics or a similar quantitative discipline
    • Experience in designing, developing, and training NLP models
    • Experience with Kubernetes
    • Understanding of software development life cycle processes and tools - ETL pipelines, CI/CD, testing frameworks
    • Strong statistical modelling skills - hypotheses testing, inference, regressions, random variables, etc.
    • The ability to work collaboratively alongside scientists, engineers and non-technical stakeholders
    • Passion for keeping up with the latest ongoings in Data Science and Machine Learning communities
    • A curious mind, who is a self-starter and endlessly keen to learn and develop themselves professionally

    AN ADDED BONUS IF YOU HAVE

    • An understanding of/experience with the Trust & Safety space
    • Experience with cloud infrastructures - GCP is a plus
    • Publications in top data science conferences like KDD, ECML, NeurIPS
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3999513062,https://uk.linkedin.com/jobs/view/senior-data-scientist-product-analytics-at-bumble-inc-3999513062?position=1&pageNum=2&refId=R3rC2Li%2Bz1MDbjWJiHPaEw%3D%3D&trackingId=yxuOAMJkh095WlNKycj%2FMw%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Data Scientist, Product Analytics",Bumble Inc.,"London, England, United Kingdom","Bumble is looking for a senior data scientist to join our team and play a key role in fulfilling our mission of being the # 1 choice for people to find love, friendship and community around the world. + +At Bumble, analytics functions as a core driver of business impact alongside engineering, product, and operations. We are constantly looking for opportunities, providing actionable insights, and navigating trade-offs. + +The ideal candidate has extensive experience in experimentation and causal inference. They combine strong business acumen with a passion for building products customers love and a continuous desire to develop their craft. + + + + +WHAT YOU WILL BE DOING +Proactively identify opportunities and contribute insights that influence decision-making.  +Design metrics to provide structure and clarity for product and business teams. Helping to evaluate trade-offs and measure the success of product efforts +Act as a subject matter expert in experimentation and causal inference +Influence leadership to drive more data-informed decisions. This requires bringing a holistic view of the health of our ecosystem.  +Continuously push and adopt best practices across the advanced data analytics team + + + + + +WE’D LOVE TO MEET SOMEONE WITH +Deep expertise in experimentation, A|B testing and causal inference +Experience with a wide range of analytical approaches, methodologies and frameworks +Excellent communication and collaboration skills. Experience using data to push forward product development +An ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders +A dedication and commitment to developing your craft +A deep understanding of advanced SQL techniques, Python and data modelling + + + + + +AN ADDED BONUS IF YOU HAVE +An understanding of multi-sided markets and/or the dating problem space + + + + + +Show more ","
    + + + + + +
    +
    +

    Bumble is looking for a senior data scientist to join our team and play a key role in fulfilling our mission of being the # 1 choice for people to find love, friendship and community around the world.

    At Bumble, analytics functions as a core driver of business impact alongside engineering, product, and operations. We are constantly looking for opportunities, providing actionable insights, and navigating trade-offs.

    The ideal candidate has extensive experience in experimentation and causal inference. They combine strong business acumen with a passion for building products customers love and a continuous desire to develop their craft.


    WHAT YOU WILL BE DOING
    • Proactively identify opportunities and contribute insights that influence decision-making. 
    • Design metrics to provide structure and clarity for product and business teams. Helping to evaluate trade-offs and measure the success of product efforts
    • Act as a subject matter expert in experimentation and causal inference
    • Influence leadership to drive more data-informed decisions. This requires bringing a holistic view of the health of our ecosystem. 
    • Continuously push and adopt best practices across the advanced data analytics team


    WE’D LOVE TO MEET SOMEONE WITH
    • Deep expertise in experimentation, A|B testing and causal inference
    • Experience with a wide range of analytical approaches, methodologies and frameworks
    • Excellent communication and collaboration skills. Experience using data to push forward product development
    • An ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders
    • A dedication and commitment to developing your craft
    • A deep understanding of advanced SQL techniques, Python and data modelling


    AN ADDED BONUS IF YOU HAVE
    • An understanding of multi-sided markets and/or the dating problem space


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4004429014,https://uk.linkedin.com/jobs/view/data-scientist-at-bettingjobs-4004429014?position=2&pageNum=2&refId=R3rC2Li%2Bz1MDbjWJiHPaEw%3D%3D&trackingId=SvmyNehzd4V73ubKSDR4yw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,BettingJobs,"Greater London, England, United Kingdom","BettingJobs are working with a sports analytics company who work with clients in the iGaming industry, who are seeking the hire of a Data Scientist to be based out of London. + + + + +About The Role: + + + + +They are looking for a data scientist to work on the betting and prediction side of their business, helping them to improve their ability to predict match outcomes. This role involves researching ways in which the modelling approaches they use to predict football matches can be improved, and then turning those insights into practical modelling solutions that they can deploy to production. + + + + +You will have flexibility to work from home one day a week, and they aren't too fussy about the exact hours you work each day. But please note they are not considering remote candidates at the moment. + + + + +Essential Requirements: + +Strong problem solving skills, with an ability to proactively identify challenges and propose solutions +Interest in football and betting/prediction problems +An ability to make pragmatic and sensible choices about what data analysis and modelling approaches to use – you can judge when it’s right to obsess about the details, and when it’s right to ship an MVP as fast as possible. +A flair for communicating statistical analyses to both technical and non-technical audiences +Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques and tools are available, and understand the trade-offs of using different approaches +Experience with SQL and relational databases – you can quickly understand a new dataset, perform exploratory analysis, identify data quality issues, and take pragmatic decisions about how to handle imperfect data +Some programming experience, preferably with Python. + + + + +For senior candidates: + + + + +More experienced candidates will have the opportunity to take on more responsibility, leading projects and helping set the direction of the research. They are looking for candidates who can think strategically and make pragmatic decisions about where they should focus their efforts, and what technical approaches they should use to get the modelling ideas onto production. In addition to the requirements above, this means you also have: + + + + +3+ years of practical data science experience +Project management skills, including an ability to make sensible value judgements about where the team should spend time +An extensive knowledge of statistical methods and machine learning techniques +Strong programming skills, ideally with Python +Experience working with other data scientists on a collaborative codebase +Experience of deploying models to production, ideally in AWS or another cloud environment + +Show more ","
    + + + + + +
    +
    +

    BettingJobs are working with a sports analytics company who work with clients in the iGaming industry, who are seeking the hire of a Data Scientist to be based out of London.


    About The Role:


    They are looking for a data scientist to work on the betting and prediction side of their business, helping them to improve their ability to predict match outcomes. This role involves researching ways in which the modelling approaches they use to predict football matches can be improved, and then turning those insights into practical modelling solutions that they can deploy to production.


    You will have flexibility to work from home one day a week, and they aren't too fussy about the exact hours you work each day. But please note they are not considering remote candidates at the moment.


    Essential Requirements:

    • Strong problem solving skills, with an ability to proactively identify challenges and propose solutions
    • Interest in football and betting/prediction problems
    • An ability to make pragmatic and sensible choices about what data analysis and modelling approaches to use – you can judge when it’s right to obsess about the details, and when it’s right to ship an MVP as fast as possible.
    • A flair for communicating statistical analyses to both technical and non-technical audiences
    • Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques and tools are available, and understand the trade-offs of using different approaches
    • Experience with SQL and relational databases – you can quickly understand a new dataset, perform exploratory analysis, identify data quality issues, and take pragmatic decisions about how to handle imperfect data
    • Some programming experience, preferably with Python.


    For senior candidates:


    More experienced candidates will have the opportunity to take on more responsibility, leading projects and helping set the direction of the research. They are looking for candidates who can think strategically and make pragmatic decisions about where they should focus their efforts, and what technical approaches they should use to get the modelling ideas onto production. In addition to the requirements above, this means you also have:


    • 3+ years of practical data science experience
    • Project management skills, including an ability to make sensible value judgements about where the team should spend time
    • An extensive knowledge of statistical methods and machine learning techniques
    • Strong programming skills, ideally with Python
    • Experience working with other data scientists on a collaborative codebase
    • Experience of deploying models to production, ideally in AWS or another cloud environment

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4006098273,https://uk.linkedin.com/jobs/view/data-scientist-at-sr2-socially-responsible-recruitment-certified-b-corporation%E2%84%A2-4006098273?position=3&pageNum=2&refId=R3rC2Li%2Bz1MDbjWJiHPaEw%3D%3D&trackingId=BoZvowI4l3drRENywTHWHw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,SR2 | Socially Responsible Recruitment | Certified B Corporation™,"London Area, United Kingdom","Data Scientist – London (2 days a week) £60-80,000 + + + + +The way in which we settled disputes hasn't changed for nearly 200 years. Until now! + +This Data Scientist role will allow you to work on AI that is revolutionizing the way the legal system works. It's a start up of 25 people, VC backed and growing fast; their product has gone from tens of customers in January to tens of thousands now. + +So what does that growth mean for you? Well your role won’t be the same now as it is in 3 years. Bigger company means bigger roles and not just management. The growth will lead to new tech, new products, new features and a whole new set of models! As a small but growing company it’s a great opportunity to help create a culture of excellence and learning in what is a fairly new and ever-evolving area of technology. + +This is a hands on role working hybrid 2-3 days a week in London. Salary £60-80,000 DOE. + +You'll need: + + + + +🔸Hands on Data Scientist experience (2+ years) +🔸Proven background with LLM Tech. Especially LLMOps, Agents, RAG. + + + + +For immediate consideration please apply or contact Charles at SR2. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist – London (2 days a week) £60-80,000


    The way in which we settled disputes hasn't changed for nearly 200 years. Until now!

    This Data Scientist role will allow you to work on AI that is revolutionizing the way the legal system works. It's a start up of 25 people, VC backed and growing fast; their product has gone from tens of customers in January to tens of thousands now.

    So what does that growth mean for you? Well your role won’t be the same now as it is in 3 years. Bigger company means bigger roles and not just management. The growth will lead to new tech, new products, new features and a whole new set of models! As a small but growing company it’s a great opportunity to help create a culture of excellence and learning in what is a fairly new and ever-evolving area of technology.

    This is a hands on role working hybrid 2-3 days a week in London. Salary £60-80,000 DOE.

    You'll need:


    • 🔸Hands on Data Scientist experience (2+ years)
    • 🔸Proven background with LLM Tech. Especially LLMOps, Agents, RAG.


    For immediate consideration please apply or contact Charles at SR2.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4004648038,https://uk.linkedin.com/jobs/view/machine-learning-engineer-at-sr2-socially-responsible-recruitment-certified-b-corporation%E2%84%A2-4004648038?position=4&pageNum=2&refId=R3rC2Li%2Bz1MDbjWJiHPaEw%3D%3D&trackingId=b1ENdnuL0gUiucebM1xF3w%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,SR2 | Socially Responsible Recruitment | Certified B Corporation™,"London, England, United Kingdom","Skills + +Machine Learning Engineer - London - £65,000 + SharesStart ups will give some amazing experience. As the business grows so does the tech, the tools you use but also the environment. So you don't just pick up technical skills but commercials ones. You learn how business works.In the short term in this role, your learning will mostly focus on the tech. You are going to be part of a small team working on Machine Learning projects.The product you build accelerates NetZero and helps with energy efficiency. It ends up saving the everyday person lots of money year on year and ensures less carbon is in the atmosphere.The office is in central London and they have hybrid set-up. So it's 2-3 days in with some flexible hours.Experience needed is: + + +Python (in a commercial setting) +Knowledge of Thermodynamics +Experience working on Machine Learning Projects + + +The ML Part of the role has a large emphasis on algorithms and developing / training predictive machine learning models. For immediate consideration please apply. Unfortunately, there is no sponsorship offered for this role. +Show more ","
    + + + + + +
    +
    + Skills

    Machine Learning Engineer - London - £65,000 + SharesStart ups will give some amazing experience. As the business grows so does the tech, the tools you use but also the environment. So you don't just pick up technical skills but commercials ones. You learn how business works.In the short term in this role, your learning will mostly focus on the tech. You are going to be part of a small team working on Machine Learning projects.The product you build accelerates NetZero and helps with energy efficiency. It ends up saving the everyday person lots of money year on year and ensures less carbon is in the atmosphere.The office is in central London and they have hybrid set-up. So it's 2-3 days in with some flexible hours.Experience needed is:

    • Python (in a commercial setting)
    • Knowledge of Thermodynamics
    • Experience working on Machine Learning Projects

    The ML Part of the role has a large emphasis on algorithms and developing / training predictive machine learning models. For immediate consideration please apply. Unfortunately, there is no sponsorship offered for this role. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4008629966,https://uk.linkedin.com/jobs/view/data-scientist-at-cornwallis-elt-4008629966?position=5&pageNum=2&refId=R3rC2Li%2Bz1MDbjWJiHPaEw%3D%3D&trackingId=kOw%2FSpV5vOP0a%2FNewok54A%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Cornwallis Elt,"London Area, United Kingdom","Data Scientist, Machine Learning, Consultant, Audit, Analytics, Python, R, Azure, SQL, Power BI, Cloud – Consulting, Permanent – Up to £55,000 Base + Cash Allowance + Bonus + Benefits + + + + +My client, a leading professional services and consulting organisation is seeking an Assistant Manager Grade Data Science / Machine Learning professional to join their audit and assurance Consulting arm. + + + + +You will be joining a rapidly expanding and challenging business, responsible for delivery across a range of audit and assurance analytics offerings, providing data science and analytics services to deliver insights to clients with the use of Python, DataBricks, R, SQL and Power BI. You will also be involved in the revision of internal and third party data science and cloud solutions, developing and delivering new and innovative Data Science and Machine Learning tools and solutions in order to evolve the audit and assurance business line. + + + + +To be successful for this role you will need; + +Proven Python experience +Excellent understanding of mathematical principles behind machine learning tools +Proven experience using and deploying machine learning algorithms +Excellent communication and stakeholder management skills +End to end data science project experience (data wrangling, feature engineering, model validation etc) +Experience with cloud environments +Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services. + + + + +This is an excellent opportunity to join a rapidly growing team in a leading consultancy, utilising cutting edge technology. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist, Machine Learning, Consultant, Audit, Analytics, Python, R, Azure, SQL, Power BI, Cloud – Consulting, Permanent – Up to £55,000 Base + Cash Allowance + Bonus + Benefits


    My client, a leading professional services and consulting organisation is seeking an Assistant Manager Grade Data Science / Machine Learning professional to join their audit and assurance Consulting arm.


    You will be joining a rapidly expanding and challenging business, responsible for delivery across a range of audit and assurance analytics offerings, providing data science and analytics services to deliver insights to clients with the use of Python, DataBricks, R, SQL and Power BI. You will also be involved in the revision of internal and third party data science and cloud solutions, developing and delivering new and innovative Data Science and Machine Learning tools and solutions in order to evolve the audit and assurance business line.


    To be successful for this role you will need;

    • Proven Python experience
    • Excellent understanding of mathematical principles behind machine learning tools
    • Proven experience using and deploying machine learning algorithms
    • Excellent communication and stakeholder management skills
    • End to end data science project experience (data wrangling, feature engineering, model validation etc)
    • Experience with cloud environments
    • Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services.


    This is an excellent opportunity to join a rapidly growing team in a leading consultancy, utilising cutting edge technology.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +3994480281,https://uk.linkedin.com/jobs/view/data-scientist-at-datacareers-3994480281?position=6&pageNum=2&refId=R3rC2Li%2Bz1MDbjWJiHPaEw%3D%3D&trackingId=rAxGMOUquYoyIkzVzS4rxQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,DataCareers,"London, England, United Kingdom","Data Scientist + +6 Month Contract + +Rate: £600 - £650 per day (Inside IR35) + +Location: London / Home (Hybrid) + + + + +Skills: Azure Machine Learning, Azure Databricks, Python, SC Clearance + + + + +We are looking to recruit an SC Cleared Data Scientist for a lead technology consultancy. Working with a client based in central London the Data Scientist will work alongside other Data Scientists to lead and support the implementation of new cloud Data & Analytics services to business users, as well as providing support for existing on premise service offerings. + + + + +This is a hybrid role and you will be required to work 2 days a week in London. Valid SC Clearance is essential. + + + + +The Data Scientist will be working closely with my client's Technology delivery team who are delivering a new Enterprise Data Platform to ensure that the Data Science tooling is delivered in a way which Data Scientists will be able to enjoy using. You will be helping to develop capabilities (e.g. helper libraries) that make the platform easier to use. + + + + +Similarly, you will work alongside colleagues to build analytical pipelines for both on-prem (Cloudera) and Cloud (Azure) platform. + + + + +You will: + + + + +Test new analytical cloud services and work with Technology colleagues to address user pain points. +Support business users with scoping, on-boarding and delivery of their use cases for on prem Data & Analytics Platform and new cloud Enterprise Data Platform. +Lead the delivery of pipelines that ingest, store and analyse data, ensuring that data and analysis are accessible. +Develop capabilities to support enterprise use of my client's Platforms. +Upskill business users in analytical standards and data science tools and techniques. + + + + +Skills & Experience: + + + + +Proficiency in one or more analytical tools e.g. R, Python, Tableau, Apache Spark, etc. +Proficiency in Azure Machine Learning and Azure DataBricks. +Pro-activity and self-starting attitude. +Excellent analytical and problem-solving ability. +Interest in data science techniques and understanding of how to use them to answer real-world questions. +Knowledge and experience of how to maintain data, tools and processes to generate reproducible analysis and implement robust and valuable data solutions. +Experience of leading data science work within a team environment. +Strong written and verbal communication skills to engage effectively with stakeholders at a range of seniorities and knowledge levels. +An open and collaborative approach in order to foster strong positive partnerships with colleagues all over the organisation. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist

    6 Month Contract

    Rate: £600 - £650 per day (Inside IR35)

    Location: London / Home (Hybrid)


    Skills: Azure Machine Learning, Azure Databricks, Python, SC Clearance


    We are looking to recruit an SC Cleared Data Scientist for a lead technology consultancy. Working with a client based in central London the Data Scientist will work alongside other Data Scientists to lead and support the implementation of new cloud Data & Analytics services to business users, as well as providing support for existing on premise service offerings.


    This is a hybrid role and you will be required to work 2 days a week in London. Valid SC Clearance is essential.


    The Data Scientist will be working closely with my client's Technology delivery team who are delivering a new Enterprise Data Platform to ensure that the Data Science tooling is delivered in a way which Data Scientists will be able to enjoy using. You will be helping to develop capabilities (e.g. helper libraries) that make the platform easier to use.


    Similarly, you will work alongside colleagues to build analytical pipelines for both on-prem (Cloudera) and Cloud (Azure) platform.


    You will:


    • Test new analytical cloud services and work with Technology colleagues to address user pain points.
    • Support business users with scoping, on-boarding and delivery of their use cases for on prem Data & Analytics Platform and new cloud Enterprise Data Platform.
    • Lead the delivery of pipelines that ingest, store and analyse data, ensuring that data and analysis are accessible.
    • Develop capabilities to support enterprise use of my client's Platforms.
    • Upskill business users in analytical standards and data science tools and techniques.


    Skills & Experience:


    • Proficiency in one or more analytical tools e.g. R, Python, Tableau, Apache Spark, etc.
    • Proficiency in Azure Machine Learning and Azure DataBricks.
    • Pro-activity and self-starting attitude.
    • Excellent analytical and problem-solving ability.
    • Interest in data science techniques and understanding of how to use them to answer real-world questions.
    • Knowledge and experience of how to maintain data, tools and processes to generate reproducible analysis and implement robust and valuable data solutions.
    • Experience of leading data science work within a team environment.
    • Strong written and verbal communication skills to engage effectively with stakeholders at a range of seniorities and knowledge levels.
    • An open and collaborative approach in order to foster strong positive partnerships with colleagues all over the organisation.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-07,[] +3989147142,https://uk.linkedin.com/jobs/view/data-scientist-at-lawrence-harvey-3989147142?position=7&pageNum=2&refId=R3rC2Li%2Bz1MDbjWJiHPaEw%3D%3D&trackingId=5jV0rDcH2NTIsLh%2FifkazQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Lawrence Harvey,"London Area, United Kingdom","Senior Data Scientist – Consumer Data, + + + + +A Member of the Big 4, with an excellent track record of delivering initiative technology solutions across Data & Artificial Intelligence is searching for a talented Data Scientist to join their dynamic Consumer Data team to help further develop their product within Consumer Analytics, focusing on Geospatial Data. + + + + +The successful applicant will be responsible for working in a tight-knit team to contribute to the roadmap design and evolution of the patent software technology and help expand other new product ideas across Consumer Analytics using the latest solutions within Data Science and Analytics. + + + + +This is a great opportunity to work for a prestigious consultancy working on the latest solutions across Analytics and Artificial Intelligence. + + + + +The role is hybrid with occasional travel to client sites and paying between £60,000 to £80,000 + + + + +Requirements + +Proven experience in Data Science, particularly within Consumer Analytics and Geospatial Data. +Strong proficiency in data analysis, statistical methods, and machine learning. +Excellent problem-solving skills and the ability to work in a collaborative environment +Effective communication skills for presenting complex data insights to stakeholders. + + + + + + + +If interested, please apply via the link below! + +Show more ","
    + + + + + +
    +
    +

    Senior Data Scientist – Consumer Data,


    A Member of the Big 4, with an excellent track record of delivering initiative technology solutions across Data & Artificial Intelligence is searching for a talented Data Scientist to join their dynamic Consumer Data team to help further develop their product within Consumer Analytics, focusing on Geospatial Data.


    The successful applicant will be responsible for working in a tight-knit team to contribute to the roadmap design and evolution of the patent software technology and help expand other new product ideas across Consumer Analytics using the latest solutions within Data Science and Analytics.


    This is a great opportunity to work for a prestigious consultancy working on the latest solutions across Analytics and Artificial Intelligence.


    The role is hybrid with occasional travel to client sites and paying between £60,000 to £80,000


    Requirements

    • Proven experience in Data Science, particularly within Consumer Analytics and Geospatial Data.
    • Strong proficiency in data analysis, statistical methods, and machine learning.
    • Excellent problem-solving skills and the ability to work in a collaborative environment
    • Effective communication skills for presenting complex data insights to stakeholders.



    If interested, please apply via the link below!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +4004485859,https://uk.linkedin.com/jobs/view/machine-learning-engineer-at-sr2-socially-responsible-recruitment-certified-b-corporation%E2%84%A2-4004485859?position=8&pageNum=2&refId=R3rC2Li%2Bz1MDbjWJiHPaEw%3D%3D&trackingId=aiCIrkw5o0ADlsLZ71G92g%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,SR2 | Socially Responsible Recruitment | Certified B Corporation™,"London Area, United Kingdom","Machine Learning Engineer – London - £65,000 + Shares + + + + +Start ups will give some amazing experience. As the business grows so does the tech, the tools you use but also the environment. So you don’t just pick up technical skills but commercials ones. You learn how business works. + + + + +In the short term in this role, your learning will mostly focus on the tech. You are going to be part of a small team working on Machine Learning projects. + + + + +The product you build accelerates NetZero and helps with energy efficiency. It ends up saving the everyday person lots of money year on year and ensures less carbon is in the atmosphere. + + + + +The office is in central London and they have hybrid set-up. So it’s 2-3 days in with some flexible hours. + + + + +Experience needed is: + + + + +Python (in a commercial setting) +Knowledge of Thermodynamics in (outside of Academia) +Experience working on Machine Learning Projects + + + + +The ML Part of the role has a large emphasis on algorithms and developing / training predictive machine learning models. For immediate consideration please apply. Unfortunately, there is no sponsorship offered for this role. + +Show more ","
    + + + + + +
    +
    +

    Machine Learning Engineer – London - £65,000 + Shares


    Start ups will give some amazing experience. As the business grows so does the tech, the tools you use but also the environment. So you don’t just pick up technical skills but commercials ones. You learn how business works.


    In the short term in this role, your learning will mostly focus on the tech. You are going to be part of a small team working on Machine Learning projects.


    The product you build accelerates NetZero and helps with energy efficiency. It ends up saving the everyday person lots of money year on year and ensures less carbon is in the atmosphere.


    The office is in central London and they have hybrid set-up. So it’s 2-3 days in with some flexible hours.


    Experience needed is:


    • Python (in a commercial setting)
    • Knowledge of Thermodynamics in (outside of Academia)
    • Experience working on Machine Learning Projects


    The ML Part of the role has a large emphasis on algorithms and developing / training predictive machine learning models. For immediate consideration please apply. Unfortunately, there is no sponsorship offered for this role.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3995918641,https://uk.linkedin.com/jobs/view/data-scientist-at-understanding-recruitment-3995918641?position=9&pageNum=2&refId=R3rC2Li%2Bz1MDbjWJiHPaEw%3D%3D&trackingId=4VzdnJlGMT%2Bntxq1sqyQVg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Understanding Recruitment,"London Area, United Kingdom","🌳 Climate Tech - Energy Flexibility + +London (Hybrid) + +Up to £90000 + Excellent Equity + + + + +I am seeking a Data Scientist to join a cutting-edge, data-centric start-up based in London (2/3 days hybrid). The team are decarbonizing the grid and electrifying everything through their state-of-the-art software platform! + + + + +This seed-funded team have secured total funding of $10.5 million. They are now looking for another Data Scientist to support the Co-founders, Data Science + Engineering team in accelerating the growth of the platform! + + + + +They are now looking for a Data Scientist to join a collaborative and dynamic team of Engineers and Scientists in accelerating the growth of the platform! + + + + +Tech stack: Python, GCP, Docker + Any tech you would like to champion and adopt! + + + + +Could this be of interest? Apply now! + +Show more ","
    + + + + + +
    +
    +

    🌳 Climate Tech - Energy Flexibility

    London (Hybrid)

    Up to £90000 + Excellent Equity


    I am seeking a Data Scientist to join a cutting-edge, data-centric start-up based in London (2/3 days hybrid). The team are decarbonizing the grid and electrifying everything through their state-of-the-art software platform!


    This seed-funded team have secured total funding of $10.5 million. They are now looking for another Data Scientist to support the Co-founders, Data Science + Engineering team in accelerating the growth of the platform!


    They are now looking for a Data Scientist to join a collaborative and dynamic team of Engineers and Scientists in accelerating the growth of the platform!


    Tech stack: Python, GCP, Docker + Any tech you would like to champion and adopt!


    Could this be of interest? Apply now!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +4000167545,https://uk.linkedin.com/jobs/view/data-science-trainee-at-it-career-switch-4000167545?position=2&pageNum=5&refId=1CRQ5%2FkAnaS2UZNATNWG3w%3D%3D&trackingId=3zcGVoDGdCAEP0Z4k7Mbkw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Trainee,IT Career Switch,"Bromley, England, United Kingdom","Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. + +Role + +Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: + +Step 1 - Full Data Science Career Training + +You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. + +Step 2 - CompTIA Data+ + +CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. + +Step 3 - Official Exam + +The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. + +Step 4 - Practical Projects + +Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. + +Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. + +Your Data Science Role + +Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. + +We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. + +We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. +Show more ","
    + + + + + +
    +
    + Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion.

    Role

    Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months:

    Step 1 - Full Data Science Career Training

    You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study.

    Step 2 - CompTIA Data+

    CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd.

    Step 3 - Official Exam

    The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online.

    Step 4 - Practical Projects

    Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned.

    Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage.

    Your Data Science Role

    Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates.

    We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back.

    We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +3975188707,https://uk.linkedin.com/jobs/view/data-scientist-at-metrixlab-3975188707?position=3&pageNum=5&refId=1CRQ5%2FkAnaS2UZNATNWG3w%3D%3D&trackingId=k410dR9XMRB6t5wB7pkGoA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,MetrixLab,"London Area, United Kingdom","About Us: + +MetrixLab is a fast-growing global market research and insights company that’s challenging the status quo of insights. By blending evolving technology with passionate experts, MetrixLab helps global and local brands to drive more impact, and forges partnerships to drive sustainably equitable growth. From creative testing to brand tracking, and packaging to e-commerce optimization, MetrixLab’s range of solution suites adapts to fit all types of budgets, timelines and business needs. + + + + +Active in more than 90 countries, MetrixLab is a proud partner to more than half of the world’s top 100 brands and part of Toluna. + + + + +About the role: + +Would you like to become part of a rapidly growing team with an exceptional client roster? We are seeking an ambitious Data Scientist to help drive the success and continued growth of MetrixLab. Primary objective of the role is to help the team design and deliver new analytical solutions to help our roster of clients. + + + + +To realize these commercial targets, you will: + +Develop and execute marketing research analytical models +Help generate new data driven insights for clients. +Ensure a best fit solution that aligns with the client objective by providing analytic consulting and primary market research expertise +Know the methodology for each analytic techniques and communicate data insights and findings from them +Drive standardization and automation through ML-ops. + + + + +Competencies: + +Degree in Engineering/Maths/Physics +2-5 years of experience with marketing data science analysis, with an emphasis on discrete choice modelling/conjoints (in Sawtooth), but also covering max-diffs, drivers analysis, dimensionality reduction +Very good command of English + + + + +What do we offer? + +A challenging position in a dynamic, fast-paced, innovative, quickly growing global company. +A flexible work environment with a focus on owning and taking pride in your work. +(International) growth opportunities in line with your career ambitions and passions. +An open-culture work environment staffed with ambitious colleagues with “can-do” mentalities. +Global onboarding and frequent internal training and sharing opportunities. +Our employees have exclusive access to Udemy Business. With our company license, you have unlimited access to all external courses. +A competitive salary package including a good pension scheme, 25 paid days of leave, and full travel reimbursement (yes, that includes cycling!). + +Show more ","
    + + + + + +
    +
    +

    About Us:

    MetrixLab is a fast-growing global market research and insights company that’s challenging the status quo of insights. By blending evolving technology with passionate experts, MetrixLab helps global and local brands to drive more impact, and forges partnerships to drive sustainably equitable growth. From creative testing to brand tracking, and packaging to e-commerce optimization, MetrixLab’s range of solution suites adapts to fit all types of budgets, timelines and business needs.


    Active in more than 90 countries, MetrixLab is a proud partner to more than half of the world’s top 100 brands and part of Toluna.


    About the role:

    Would you like to become part of a rapidly growing team with an exceptional client roster? We are seeking an ambitious Data Scientist to help drive the success and continued growth of MetrixLab. Primary objective of the role is to help the team design and deliver new analytical solutions to help our roster of clients.


    To realize these commercial targets, you will:

    • Develop and execute marketing research analytical models
    • Help generate new data driven insights for clients.
    • Ensure a best fit solution that aligns with the client objective by providing analytic consulting and primary market research expertise
    • Know the methodology for each analytic techniques and communicate data insights and findings from them
    • Drive standardization and automation through ML-ops.


    Competencies:

    • Degree in Engineering/Maths/Physics
    • 2-5 years of experience with marketing data science analysis, with an emphasis on discrete choice modelling/conjoints (in Sawtooth), but also covering max-diffs, drivers analysis, dimensionality reduction
    • Very good command of English


    What do we offer?

    • A challenging position in a dynamic, fast-paced, innovative, quickly growing global company.
    • A flexible work environment with a focus on owning and taking pride in your work.
    • (International) growth opportunities in line with your career ambitions and passions.
    • An open-culture work environment staffed with ambitious colleagues with “can-do” mentalities.
    • Global onboarding and frequent internal training and sharing opportunities.
    • Our employees have exclusive access to Udemy Business. With our company license, you have unlimited access to all external courses.
    • A competitive salary package including a good pension scheme, 25 paid days of leave, and full travel reimbursement (yes, that includes cycling!).

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3998022349,https://uk.linkedin.com/jobs/view/data-scientist-at-talentslab-io-3998022349?position=6&pageNum=5&refId=1CRQ5%2FkAnaS2UZNATNWG3w%3D%3D&trackingId=Rlalem6K4gFhBK2IyfG0Uw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,talentslab.io,"London, England, United Kingdom","The Company + +Our client builds an innovative platform at the crossroads of social crypto, prediction markets, and accessible speculation. With strong financial backing and a promising future, they've quickly become a leader in memecoin creation and trading on Solana since their launch. In less than six months, they've generated over $80 million in revenue, making waves across the crypto community. + +The Role + +We're looking for a high-performing Data Scientist to join their team and help unlock valuable insights from their growing data. This role is ideal for someone who is detail-oriented, enjoys diving into complex data trends, and is excited about being part of an ambitious, cutting-edge crypto startup. + +The role is hybrid with at least two days / week at the office in London, UK. + +What You'll Do + + +Lead and manage data collection initiatives +Perform full life cycle analysis, covering requirements, activities, and design +Analyze and interpret complex data sets, turning them into actionable insights for business decisions +Monitor performance and implement quality control plans to identify areas for improvement +Apply predictive modeling to enhance consumer understanding, customer segmentation, and targeted advertising +Collaborate with various departments to understand and meet data needs +Effectively use graphs and data visualizations to present findings to both technical and non-technical audiences +Develop and execute database queries strategically +Implement systems and strategies to transform raw data into valuable business insights +Provide guidance on setting benchmarks and metrics + + + +What You Bring To The Table + + +Solid experience with Python and SQL +PhD-level academic qualifications or previous experience as a data scientist at a FAANG-level company +Must have work experience in the crypto space or a strong interest in it +Ability to work in person in London at least 2 days a week +Experience with consumer products or consumer data + + + +What You'll Get + + +A salary of 150K - 350K / year +Negotiable equity opportunities +A lot of exciting projects with great learning opportunity + + + +Hiring Process + + +Founder / CEO Interview +Technical Interview +Take Home Test +Final founder / CEO Interview + + + +We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We encourage applicants of all backgrounds to apply and look forward to welcoming those who will contribute to our diverse and inclusive culture. +Show more ","
    + + + + + +
    +
    + The Company

    Our client builds an innovative platform at the crossroads of social crypto, prediction markets, and accessible speculation. With strong financial backing and a promising future, they've quickly become a leader in memecoin creation and trading on Solana since their launch. In less than six months, they've generated over $80 million in revenue, making waves across the crypto community.

    The Role

    We're looking for a high-performing Data Scientist to join their team and help unlock valuable insights from their growing data. This role is ideal for someone who is detail-oriented, enjoys diving into complex data trends, and is excited about being part of an ambitious, cutting-edge crypto startup.

    The role is hybrid with at least two days / week at the office in London, UK.

    What You'll Do

    • Lead and manage data collection initiatives
    • Perform full life cycle analysis, covering requirements, activities, and design
    • Analyze and interpret complex data sets, turning them into actionable insights for business decisions
    • Monitor performance and implement quality control plans to identify areas for improvement
    • Apply predictive modeling to enhance consumer understanding, customer segmentation, and targeted advertising
    • Collaborate with various departments to understand and meet data needs
    • Effectively use graphs and data visualizations to present findings to both technical and non-technical audiences
    • Develop and execute database queries strategically
    • Implement systems and strategies to transform raw data into valuable business insights
    • Provide guidance on setting benchmarks and metrics


    What You Bring To The Table

    • Solid experience with Python and SQL
    • PhD-level academic qualifications or previous experience as a data scientist at a FAANG-level company
    • Must have work experience in the crypto space or a strong interest in it
    • Ability to work in person in London at least 2 days a week
    • Experience with consumer products or consumer data


    What You'll Get

    • A salary of 150K - 350K / year
    • Negotiable equity opportunities
    • A lot of exciting projects with great learning opportunity


    Hiring Process

    • Founder / CEO Interview
    • Technical Interview
    • Take Home Test
    • Final founder / CEO Interview


    We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We encourage applicants of all backgrounds to apply and look forward to welcoming those who will contribute to our diverse and inclusive culture. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +4005827217,https://uk.linkedin.com/jobs/view/data-scientist-at-courtcorrect-4005827217?position=7&pageNum=5&refId=1CRQ5%2FkAnaS2UZNATNWG3w%3D%3D&trackingId=aWQyaDGyz%2FwilsjqWjJvmg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,CourtCorrect,"London Area, United Kingdom","CourtCorrect, the market-leading AI startup for complaints resolution in the UK, is hiring for an exceptional and highly motivated Data Scientist to join our DS Team and help us deliver our vision of more effective and fairer dispute resolution while enabling the company to sustain dramatic growth. + + + + +Requirements: + + + + +2+ years experience in Data Science, ML-/AI-engineering or related field +Master’s degree in Data/Computer Science / ML / Statistics / a related field (or a bachelor’s degree with highly relevant industry experience) +Able to work from London office 2 days a week +Proven experience working with LLM technology. Especially in areas such as fine-tuning, LLMops, agents, RAG, quantization, frameworks like vLLM, etc. +Strong Python skills and experience working with technologies e.g. GitHub, Docker, SQL and sqlalchemy, PyTorch and Transformers, cloud providers and computing e.g. AWS Sagemaker (or equivalents) +Genuine and demonstrable interest in building this product and real passion to contribute aggressively to the next great advance in consumer dispute resolution. +Strong work ethic, including meticulous attention to detail, focus on delivery and outcomes and constant striving for perfection and self-improvement. +Team player spirit, with excellent communication skills, friendly and positive attitude and ability to debate constructively. + + + + +Nice to haves: + + + + +Experience with embedding models and vector databases +More full-stack experience with e.g. FastAPI backend, building end to end prototypes with GUI, etc. +Web scraping +Efficient and scalable deployments of ML models +Good understanding of UX and/or engineering with understanding of how AI pipelines/features fits into the wider picture regarding latency, data collection, good UX, etc. + + + + +Compensation & Benefits + + + + +Competitive cash compensation, based on experience +Option to acquire shares in the business to benefit from long-term growth of the company +Offices in central London, with the ability to work remotely +Workplace pension, company socials and the ability to contribute to a meaningful advance in the resolution of conflict in society. + + + + +About CourtCorrect + + + + +Founded at the University of Cambridge, CourtCorrect is the leader in complaints resolution for regulated industries, a >£100bn market in the UK alone. We work with large financial services firms to improve the efficiency and quality of their complaints resolution with a vision of building the online legal system for consumer disputes.  + + + + +As we are experiencing dramatic growth, we are looking for an ambitious and hard-working team member who will help enable the company to achieve hypergrowth. Make no mistake: this is a unique opportunity for a mid-level Data Scientist to contribute to the development of a disruptive and tested product in a large market with significant short- and long-term upside, while working with great colleagues and innovative clients. + +Show more ","
    + + + + + +
    +
    +

    CourtCorrect, the market-leading AI startup for complaints resolution in the UK, is hiring for an exceptional and highly motivated Data Scientist to join our DS Team and help us deliver our vision of more effective and fairer dispute resolution while enabling the company to sustain dramatic growth.


    Requirements:


    • 2+ years experience in Data Science, ML-/AI-engineering or related field
    • Master’s degree in Data/Computer Science / ML / Statistics / a related field (or a bachelor’s degree with highly relevant industry experience)
    • Able to work from London office 2 days a week
    • Proven experience working with LLM technology. Especially in areas such as fine-tuning, LLMops, agents, RAG, quantization, frameworks like vLLM, etc.
    • Strong Python skills and experience working with technologies e.g. GitHub, Docker, SQL and sqlalchemy, PyTorch and Transformers, cloud providers and computing e.g. AWS Sagemaker (or equivalents)
    • Genuine and demonstrable interest in building this product and real passion to contribute aggressively to the next great advance in consumer dispute resolution.
    • Strong work ethic, including meticulous attention to detail, focus on delivery and outcomes and constant striving for perfection and self-improvement.
    • Team player spirit, with excellent communication skills, friendly and positive attitude and ability to debate constructively.


    Nice to haves:


    • Experience with embedding models and vector databases
    • More full-stack experience with e.g. FastAPI backend, building end to end prototypes with GUI, etc.
    • Web scraping
    • Efficient and scalable deployments of ML models
    • Good understanding of UX and/or engineering with understanding of how AI pipelines/features fits into the wider picture regarding latency, data collection, good UX, etc.


    Compensation & Benefits


    • Competitive cash compensation, based on experience
    • Option to acquire shares in the business to benefit from long-term growth of the company
    • Offices in central London, with the ability to work remotely
    • Workplace pension, company socials and the ability to contribute to a meaningful advance in the resolution of conflict in society.


    About CourtCorrect


    Founded at the University of Cambridge, CourtCorrect is the leader in complaints resolution for regulated industries, a >£100bn market in the UK alone. We work with large financial services firms to improve the efficiency and quality of their complaints resolution with a vision of building the online legal system for consumer disputes. 


    As we are experiencing dramatic growth, we are looking for an ambitious and hard-working team member who will help enable the company to achieve hypergrowth. Make no mistake: this is a unique opportunity for a mid-level Data Scientist to contribute to the development of a disruptive and tested product in a large market with significant short- and long-term upside, while working with great colleagues and innovative clients.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4006869497,https://uk.linkedin.com/jobs/view/data-scientist-power-bi-specialist-at-ofcom-4006869497?position=8&pageNum=5&refId=1CRQ5%2FkAnaS2UZNATNWG3w%3D%3D&trackingId=LhT2OAwlsjKeKwqD120Eig%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist & Power BI Specialist,Ofcom,"Greater London, England, United Kingdom","The advert will close on the 6th September 2024 at 00:01. + + + + +This is a Fixed Term Contract until January 2025. + + + + +About Ofcom + + + + +Ofcom is the regulator for the communications services that we use and rely on each day. We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio. + + + + +Our culture is clear – we live by our values: Empowerment; Excellence; Collaboration; Agility and Respect. These define how we work to deliver our purpose, now and in the future. The behaviours which support these values set the path for a fully inclusive and innovative culture at Ofcom. + + + + +We focus not only on what we do, but how we do it. We pride ourselves on being an organisation of people who genuinely care about helping others. + + + + +About the team you’ll be part of + + + + +Ofcom’s Economics and Analytics Group is a dynamic, international team of over 100 economists, data analysts and finance experts. + + + + +The purpose of the role and key responsibilities + + + + +We are seeking a data scientist with experience in PowerBI to support us in building an internal data product. You will collaborate with a vibrant team of economists, data engineers, data analysts, policy professionals and market researchers. Your responsibilities will include: + + + + +Developing a dashboard in PowerBI to visualise the results of data analysis and models. +Collaborating with data engineers and economists to support model development and deployment. +Reviewing existing ETL code. +Producing high-quality documentation. +Communicating technical concepts effectively in internal meetings. +Building scheduled data pipelines to ingest data from various third-party APIs. + + + + +The skills, knowledge, and experience you’ll need for success + + + + +Strong proficiency in PowerBI, including data modelling, DAX, and visualisation best practices. +Strong proficiency with PySpark, Python +Experience with SQL and database management. +Proven experience in data manipulation, including designing and implementing ETL processes. +Familiarity with Azure services. +Proven experience of producing high quality documentation. +Strong problem-solving skills and attention to detail. +The ability to collaborate seamlessly with multidisciplinary teams. +A degree in computer science, data science, or a related field, with a postgraduate qualification being desirable but not essential. +Experience with network analysis desirable, but not essential. + + + + +At Ofcom we prioritise inclusive and diverse recruitment in order to truly reflect the society we represent. + + + + +Where positions are listed as full time, we remain open to reduced hours, part-time arrangements, job shares and other flexible working options from day one of employment. We warmly welcome applications from candidate returning to work after a break – for whatever reason. + + + + +As a disability confident employer, we offer interviews to any disabled applicant who meet essential criteria for advertised roles. Learn more about the scheme here. + + + + +If you need information in an alternative format or have specific preferences, please contact our recruitment team at resourcing@ofcom.org.uk or call 0330 912 1378. + +Show more ","
    + + + + + +
    +
    +

    The advert will close on the 6th September 2024 at 00:01.


    This is a Fixed Term Contract until January 2025.


    About Ofcom


    Ofcom is the regulator for the communications services that we use and rely on each day. We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio.


    Our culture is clear – we live by our values: Empowerment; Excellence; Collaboration; Agility and Respect. These define how we work to deliver our purpose, now and in the future. The behaviours which support these values set the path for a fully inclusive and innovative culture at Ofcom.


    We focus not only on what we do, but how we do it. We pride ourselves on being an organisation of people who genuinely care about helping others.


    About the team you’ll be part of


    Ofcom’s Economics and Analytics Group is a dynamic, international team of over 100 economists, data analysts and finance experts.


    The purpose of the role and key responsibilities


    We are seeking a data scientist with experience in PowerBI to support us in building an internal data product. You will collaborate with a vibrant team of economists, data engineers, data analysts, policy professionals and market researchers. Your responsibilities will include:


    • Developing a dashboard in PowerBI to visualise the results of data analysis and models.
    • Collaborating with data engineers and economists to support model development and deployment.
    • Reviewing existing ETL code.
    • Producing high-quality documentation.
    • Communicating technical concepts effectively in internal meetings.
    • Building scheduled data pipelines to ingest data from various third-party APIs.


    The skills, knowledge, and experience you’ll need for success


    • Strong proficiency in PowerBI, including data modelling, DAX, and visualisation best practices.
    • Strong proficiency with PySpark, Python
    • Experience with SQL and database management.
    • Proven experience in data manipulation, including designing and implementing ETL processes.
    • Familiarity with Azure services.
    • Proven experience of producing high quality documentation.
    • Strong problem-solving skills and attention to detail.
    • The ability to collaborate seamlessly with multidisciplinary teams.
    • A degree in computer science, data science, or a related field, with a postgraduate qualification being desirable but not essential.
    • Experience with network analysis desirable, but not essential.


    At Ofcom we prioritise inclusive and diverse recruitment in order to truly reflect the society we represent.


    Where positions are listed as full time, we remain open to reduced hours, part-time arrangements, job shares and other flexible working options from day one of employment. We warmly welcome applications from candidate returning to work after a break – for whatever reason.


    As a disability confident employer, we offer interviews to any disabled applicant who meet essential criteria for advertised roles. Learn more about the scheme here.


    If you need information in an alternative format or have specific preferences, please contact our recruitment team at resourcing@ofcom.org.uk or call 0330 912 1378.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3993739149,https://uk.linkedin.com/jobs/view/machine-learning-engineer-at-neartech-search-3993739149?position=9&pageNum=5&refId=1CRQ5%2FkAnaS2UZNATNWG3w%3D%3D&trackingId=fNF%2Bmj3aiRMmsU2J0oe9LA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,NearTech Search,"London Area, United Kingdom","Machine Learning Engineer - a role with a key client of mine in London. They're in the Fintech space, whilst knowledge of finance / fintech isn't 100% necessary, knowledge of this domain would be advantageous. + + + + +This role is in office once a week in central London if you cannot commit to this or need sponsorship for new roles, please do not apply. + + + + +The role: + + + + +Conversion of key logic / decision-making criteria within internal systems, configuring necessary changes / adaptations +Collaborating with the analytics team working on finance / fintech projects +Working on Machine Learning Algorithms and Techniques to enhance performance and accuracy - compression, optimisation +Staying updated on the latest advancements in Machine Learning with a view to contributing to system scalability and longevity + + + + + + + +Experience needed: + + + + +Python - + 4 years’ Experience +Machine Learning - Experience in building and deploying ML Models + 3 years +SQL - Proficient in data manipulation and querying +AWS - Proficient in AWS / AWS Sagemaker, model-training and deployment +Fintech Experience - Desirable + + + + +For more details, reach out to me on david@ neartechsearch.com + +Show more ","
    + + + + + +
    +
    +

    Machine Learning Engineer - a role with a key client of mine in London. They're in the Fintech space, whilst knowledge of finance / fintech isn't 100% necessary, knowledge of this domain would be advantageous.


    This role is in office once a week in central London if you cannot commit to this or need sponsorship for new roles, please do not apply.


    The role:


    • Conversion of key logic / decision-making criteria within internal systems, configuring necessary changes / adaptations
    • Collaborating with the analytics team working on finance / fintech projects
    • Working on Machine Learning Algorithms and Techniques to enhance performance and accuracy - compression, optimisation
    • Staying updated on the latest advancements in Machine Learning with a view to contributing to system scalability and longevity



    Experience needed:


    • Python - + 4 years’ Experience
    • Machine Learning - Experience in building and deploying ML Models + 3 years
    • SQL - Proficient in data manipulation and querying
    • AWS - Proficient in AWS / AWS Sagemaker, model-training and deployment
    • Fintech Experience - Desirable


    For more details, reach out to me on david@ neartechsearch.com

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-06,[] +4001586828,https://uk.linkedin.com/jobs/view/data-scientist-at-understanding-recruitment-4001586828?position=10&pageNum=5&refId=1CRQ5%2FkAnaS2UZNATNWG3w%3D%3D&trackingId=QXzVl3HZIxmKonf5dx%2F71w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Understanding Recruitment,"London Area, United Kingdom","🌳 Climate Tech - Energy Flexibility + +London (Hybrid) + +Up to £90000 + Excellent Equity + + + + +I am seeking a Data Scientist to join a cutting-edge, data-centric start-up based in London. The team aims to tackle climate change by transforming the electricity grid by crafting the infrastructure for a greener energy system, reducing CO2 emissions and energy costs. + + + + +The team have secured funding at $1.6m and has now secured their SECOND round (to be revealed). They are now looking for another Data Scientist to support the Co-founders, Data Scientists + Engineering team in accelerating the growth of the platform! + + + + +As a Data Scientist, you will leverage your Python and Cloud experience and work on greenfield projects to propel society to net zero. + + + + +You will be passionate about taking ownership of Data Science and Engineering practices, and passionate about working with new technologies! + + + + +Teams Tech stack: Python, GCP, Docker + Any tech you would like to champion and adopt! + + + + +Apply now! + +Show more ","
    + + + + + +
    +
    +

    🌳 Climate Tech - Energy Flexibility

    London (Hybrid)

    Up to £90000 + Excellent Equity


    I am seeking a Data Scientist to join a cutting-edge, data-centric start-up based in London. The team aims to tackle climate change by transforming the electricity grid by crafting the infrastructure for a greener energy system, reducing CO2 emissions and energy costs.


    The team have secured funding at $1.6m and has now secured their SECOND round (to be revealed). They are now looking for another Data Scientist to support the Co-founders, Data Scientists + Engineering team in accelerating the growth of the platform!


    As a Data Scientist, you will leverage your Python and Cloud experience and work on greenfield projects to propel society to net zero.


    You will be passionate about taking ownership of Data Science and Engineering practices, and passionate about working with new technologies!


    Teams Tech stack: Python, GCP, Docker + Any tech you would like to champion and adopt!


    Apply now!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3991292106,https://uk.linkedin.com/jobs/view/data-scientist-at-portas-consulting-3991292106?position=3&pageNum=7&refId=SN1Kfl5zNooTmNr8Zvchpg%3D%3D&trackingId=1OUF8Mvb2uN7fx7RrX%2F3XA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Portas Consulting,"London Area, United Kingdom","Portas Consulting is the leading management consultancy dedicated to sport and physical activity. We work with clients globally including major international and national sporting bodies, professional sports clubs and leagues, and investors on their most critical and complex issues. + + + + +We are expanding our data science and analytics unit and are looking for a data scientist to join our team. As part of a fast-growing area, you will get the opportunity to make a big contribution to developing new models and to be a key voice in deciding which tools and frameworks we use going forwards. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport. + + + + +Responsibilities: + +Play a key role in developing new statistical models and core IP. This will include researching the most appropriate methodologies, assessing feasibility, training and testing different approaches, and deploying the resulting models. +Use advanced statistical models to add a deeper layer of insight to client projects, enhancing our existing research capabilities. +Develop standardised templates and frameworks to make common data analysis and visualisation tasks more efficient and scalable. +Coach more junior members of the team and help to develop their technical skills. +Contribute to knowledge sharing, both within the analytics team and around the wider firm to demonstrate the growing capabilities of our new data science unit. + + + + +What we’re looking for: + +Statistical modelling: knowledge of core regression and classification techniques, as well as a broader range of machine learning algorithms. You should have experience developing statistical models in an applied context and a good understanding of the model development process. +Tools: strong knowledge of Python or R (both is an advantage). Knowledge of relational database systems and writing SQL queries. Experience working with Microsoft Azure or other cloud platforms is an advantage. +Communication: strong communication skills and in particular the ability to communicate complex analytical concepts to non-experts. +Passion for sport and physical activity. +Show more ","
    + + + + + +
    +
    +

    Portas Consulting is the leading management consultancy dedicated to sport and physical activity. We work with clients globally including major international and national sporting bodies, professional sports clubs and leagues, and investors on their most critical and complex issues.


    We are expanding our data science and analytics unit and are looking for a data scientist to join our team. As part of a fast-growing area, you will get the opportunity to make a big contribution to developing new models and to be a key voice in deciding which tools and frameworks we use going forwards. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport.


    Responsibilities:

    • Play a key role in developing new statistical models and core IP. This will include researching the most appropriate methodologies, assessing feasibility, training and testing different approaches, and deploying the resulting models.
    • Use advanced statistical models to add a deeper layer of insight to client projects, enhancing our existing research capabilities.
    • Develop standardised templates and frameworks to make common data analysis and visualisation tasks more efficient and scalable.
    • Coach more junior members of the team and help to develop their technical skills.
    • Contribute to knowledge sharing, both within the analytics team and around the wider firm to demonstrate the growing capabilities of our new data science unit.


    What we’re looking for:

    • Statistical modelling: knowledge of core regression and classification techniques, as well as a broader range of machine learning algorithms. You should have experience developing statistical models in an applied context and a good understanding of the model development process.
    • Tools: strong knowledge of Python or R (both is an advantage). Knowledge of relational database systems and writing SQL queries. Experience working with Microsoft Azure or other cloud platforms is an advantage.
    • Communication: strong communication skills and in particular the ability to communicate complex analytical concepts to non-experts.
    • Passion for sport and physical activity.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3987009650,https://uk.linkedin.com/jobs/view/machine-learning-engineer-at-generative-3987009650?position=4&pageNum=7&refId=SN1Kfl5zNooTmNr8Zvchpg%3D%3D&trackingId=g%2FElov%2Bkp3evJwDEGqg6iw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Generative,"London Area, United Kingdom","Job Title: Machine Learning Engineer + + + + +Objectives: + +Design and develop machine learning algorithms and deep learning applications for recommendation systems. +Ensure algorithms generate accurate product recommendations. +Build prototypes and apply appropriate machine learning algorithms and tools. +Construct optimized data pipelines to feed machine learning models. +Design and develop machine learning tests and experiments, and document findings and results. +Train, fine-tune, and monitor machine learning systems and models. +Apply methods and technologies related to Large Language Models (LLMs), from model fine-tuning to prompt engineering. + + + + +Skills and Qualifications: + +Bachelor’s degree (or equivalent) in computer science, mathematics, or a related field. +Proven experience as a machine learning engineer or in a similar role. +Impeccable analytical and problem-solving skills. +Strong background in math and computer science, with a deep understanding of probability, statistics, and algorithms. +Proficiency in machine learning frameworks, such as PyTorch. +Familiarity with data structures, data modeling, and software architecture. +Excellent time management and organizational skills. +Strong communication and collaboration abilities. +5+ years of experience in the field. +Experience in Financial Services, particularly within a startup environment, is highly preferred. + + + + +Additional Requirements: + +Demonstrated ability to work in a fast-paced, startup environment with a focus on innovation and adaptability. +Experience in building scalable machine learning solutions that address specific financial industry challenges, such as risk assessment, fraud detection, or customer segmentation. +A strong understanding of financial products and services, along with the ability to translate complex financial concepts into machine learning models. + +Show more ","
    + + + + + +
    +
    +

    Job Title: Machine Learning Engineer


    Objectives:

    • Design and develop machine learning algorithms and deep learning applications for recommendation systems.
    • Ensure algorithms generate accurate product recommendations.
    • Build prototypes and apply appropriate machine learning algorithms and tools.
    • Construct optimized data pipelines to feed machine learning models.
    • Design and develop machine learning tests and experiments, and document findings and results.
    • Train, fine-tune, and monitor machine learning systems and models.
    • Apply methods and technologies related to Large Language Models (LLMs), from model fine-tuning to prompt engineering.


    Skills and Qualifications:

    • Bachelor’s degree (or equivalent) in computer science, mathematics, or a related field.
    • Proven experience as a machine learning engineer or in a similar role.
    • Impeccable analytical and problem-solving skills.
    • Strong background in math and computer science, with a deep understanding of probability, statistics, and algorithms.
    • Proficiency in machine learning frameworks, such as PyTorch.
    • Familiarity with data structures, data modeling, and software architecture.
    • Excellent time management and organizational skills.
    • Strong communication and collaboration abilities.
    • 5+ years of experience in the field.
    • Experience in Financial Services, particularly within a startup environment, is highly preferred.


    Additional Requirements:

    • Demonstrated ability to work in a fast-paced, startup environment with a focus on innovation and adaptability.
    • Experience in building scalable machine learning solutions that address specific financial industry challenges, such as risk assessment, fraud detection, or customer segmentation.
    • A strong understanding of financial products and services, along with the ability to translate complex financial concepts into machine learning models.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3931553813,https://uk.linkedin.com/jobs/view/data-scientist-at-pandora-3931553813?position=5&pageNum=7&refId=SN1Kfl5zNooTmNr8Zvchpg%3D%3D&trackingId=enx2SQbXKst4UGL4NI%2B8ww%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Pandora,"London, England, United Kingdom","Data Scientist - London + +We have recently started our journey in the advanced analytics space with substantial unexplored potential in the consumer engagement, supply chain, merchandising and manufacturing business units. We are looking at developing in-house capabilities within personalisation & recommendation, forecasting models, and trend analysis to help us achieve the next level of innovation and customer satisfaction. + +As Data Scientist, you will work with our stakeholders worldwide to tackle exciting and challenging problems using machine learning and optimisation techniques. You will ensure we use state-of-the-art techniques to support and automate data-driven decision-making processes. + +Your key accountabilities will be to: + + +Partner with our stakeholders to identify valuable insights and an in-depth understanding of business cases. +Work on end-to-end Machine Learning products, from exploration, prototyping, and evaluation to deployment. +Collaborate with cross-functional teams of business units, data engineering, data platform and MLOps to identify data and deliver models using the MLOps framework. + + + +What is needed to succeed: + + +Academic degree in Statistics, Mathematics, Computer Science or equivalent. +Minimum four years of experience as a Data Scientist or Machine Learning Engineer. +Fluent in Python and python testing +Experience with hypothesis testing/experiment design +Excellent understanding of Data Science fundamentals from ability to explain the rationale behind the modelling process to model deployment, continuous training and monitoring +Experience in ML systems design, development and deployment using Software Development Lifecycle applied to Machine Learning +Working knowledge of version control, DevOps and TDD +Fantastic team player and collaborator. + + + +Preferred but not must have: + + +Experience with Databricks and pyspark +Experience with deep learning frameworks such as TensorFlow, Keras or PyTorch. +Data science experience working within E-commerce or retail. +Proficiency in both written and oral English. + + + +About Pandora + +Established in 1982, Pandora designs, manufactures and markets hand-finished jewellery made from high-quality materials at affordable prices. Pandora’s products are available in more than 100 countries on six continents through more than 6,500 points of sale, including around 2,500 concept stores. + +Headquartered in Copenhagen, Denmark, Pandora employs 32,000 people worldwide and crafts its jewellery at two LEED certified facilities in Thailand, using mainly recycled silver and gold. The company plans to be carbon neutral by 2025 and has joined the Science Based Targets initiative to reduce emissions across its full value chain. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated a revenue of DKK 28.1 billion in 2023.  + +At Pandora, we believe that creating an inclusive and diverse workplace and reflecting societal diversity in our customer engagement is essential to delivering on our company purpose: to give a voice to people’s loves. We dedicate ourselves to fostering, cultivating and preserving a culture of inclusion and diversity where everyone feels respected and valued. + +What can we offer you? + +You will be joining the team at our brand-new London Digital Hub, which is located a stone’s throw from London’s iconic Oxford Street, at the heart of the city. The London Hub is growing at a faster pace than ever, and your role will be part of the first waves of new, exciting talents we are introducing to the team. At the London Hub, we like to keep things flexible – this hybrid role is an example of that, with two days working from the office and three days working from home, so you can choose what works for you. + +Our commitment to unforgettable career progression is just the start. We offer a competitive rewards package that is second to none. + +Our generous benefits package includes: + + +A highly competitive salary with regular salary reviews +Generous bonus scheme +Private healthcare +Choice of lunch on us, delivered to you whenever you are in the office! +Early finish Fridays (weekends with Pandora start every Friday at 3pm!) +55% employee discount +25 days annual leave (plus bank holidays) +Buy/sell holiday options +Celebrate your birthday with a day off to celebrate! +Pandora Perks: access our exclusive online platform provided by Reward Gateway, where you’ll have access to: Discounts on retail brands, cinema tickets, holidays, gym memberships and more +Wellness Hub: videos to help you lead a healthy lifestyle +Employee Assistance Programme: a completely confidential, free, counselling phone line open 24/7, all year round +Recognition programme: celebrate and share achievements with the wider business +At Pandora we love a party! Especially at Christmas, when you will receive an extra special gift + + + +If you are looking for a new challenge, come and craft the incredible with us! +Show more ","
    + + + + + +
    +
    + Data Scientist - London

    We have recently started our journey in the advanced analytics space with substantial unexplored potential in the consumer engagement, supply chain, merchandising and manufacturing business units. We are looking at developing in-house capabilities within personalisation & recommendation, forecasting models, and trend analysis to help us achieve the next level of innovation and customer satisfaction.

    As Data Scientist, you will work with our stakeholders worldwide to tackle exciting and challenging problems using machine learning and optimisation techniques. You will ensure we use state-of-the-art techniques to support and automate data-driven decision-making processes.

    Your key accountabilities will be to:

    • Partner with our stakeholders to identify valuable insights and an in-depth understanding of business cases.
    • Work on end-to-end Machine Learning products, from exploration, prototyping, and evaluation to deployment.
    • Collaborate with cross-functional teams of business units, data engineering, data platform and MLOps to identify data and deliver models using the MLOps framework.


    What is needed to succeed:

    • Academic degree in Statistics, Mathematics, Computer Science or equivalent.
    • Minimum four years of experience as a Data Scientist or Machine Learning Engineer.
    • Fluent in Python and python testing
    • Experience with hypothesis testing/experiment design
    • Excellent understanding of Data Science fundamentals from ability to explain the rationale behind the modelling process to model deployment, continuous training and monitoring
    • Experience in ML systems design, development and deployment using Software Development Lifecycle applied to Machine Learning
    • Working knowledge of version control, DevOps and TDD
    • Fantastic team player and collaborator.


    Preferred but not must have:

    • Experience with Databricks and pyspark
    • Experience with deep learning frameworks such as TensorFlow, Keras or PyTorch.
    • Data science experience working within E-commerce or retail.
    • Proficiency in both written and oral English.


    About Pandora

    Established in 1982, Pandora designs, manufactures and markets hand-finished jewellery made from high-quality materials at affordable prices. Pandora’s products are available in more than 100 countries on six continents through more than 6,500 points of sale, including around 2,500 concept stores.

    Headquartered in Copenhagen, Denmark, Pandora employs 32,000 people worldwide and crafts its jewellery at two LEED certified facilities in Thailand, using mainly recycled silver and gold. The company plans to be carbon neutral by 2025 and has joined the Science Based Targets initiative to reduce emissions across its full value chain. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated a revenue of DKK 28.1 billion in 2023. 

    At Pandora, we believe that creating an inclusive and diverse workplace and reflecting societal diversity in our customer engagement is essential to delivering on our company purpose: to give a voice to people’s loves. We dedicate ourselves to fostering, cultivating and preserving a culture of inclusion and diversity where everyone feels respected and valued.

    What can we offer you?

    You will be joining the team at our brand-new London Digital Hub, which is located a stone’s throw from London’s iconic Oxford Street, at the heart of the city. The London Hub is growing at a faster pace than ever, and your role will be part of the first waves of new, exciting talents we are introducing to the team. At the London Hub, we like to keep things flexible – this hybrid role is an example of that, with two days working from the office and three days working from home, so you can choose what works for you.

    Our commitment to unforgettable career progression is just the start. We offer a competitive rewards package that is second to none.

    Our generous benefits package includes:

    • A highly competitive salary with regular salary reviews
    • Generous bonus scheme
    • Private healthcare
    • Choice of lunch on us, delivered to you whenever you are in the office!
    • Early finish Fridays (weekends with Pandora start every Friday at 3pm!)
    • 55% employee discount
    • 25 days annual leave (plus bank holidays)
    • Buy/sell holiday options
    • Celebrate your birthday with a day off to celebrate!
    • Pandora Perks: access our exclusive online platform provided by Reward Gateway, where you’ll have access to: Discounts on retail brands, cinema tickets, holidays, gym memberships and more
    • Wellness Hub: videos to help you lead a healthy lifestyle
    • Employee Assistance Programme: a completely confidential, free, counselling phone line open 24/7, all year round
    • Recognition programme: celebrate and share achievements with the wider business
    • At Pandora we love a party! Especially at Christmas, when you will receive an extra special gift


    If you are looking for a new challenge, come and craft the incredible with us! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-16,[] +3999072434,https://uk.linkedin.com/jobs/view/data-scientist-at-mbn-solutions-3999072434?position=10&pageNum=7&refId=SN1Kfl5zNooTmNr8Zvchpg%3D%3D&trackingId=UFSSZaX%2FcCv6qXqr6bUPrA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,MBN Solutions,"London Area, United Kingdom","Senior Data Scientist/Python Developer + +London (Hybrid – 2 days per week onsite) + + + + +Are you a Data Scientist with 2+ years of Python Development experience looking for your next role? + + + + +Do you thrive working within an environment with multiple exciting projects to get stuck into? + + + + +Do you want to join an organization that puts a genuine investment into your career growth & has a culture of promoting from within? + + + + +MBN Solutions are proud to be working with a long-standing Media Agency client of ours to support them in the search for a Data Scientist to join the team. Due to continued success and an upcoming stream of new clients & projects, our client are looking to expand their Marketing Effectiveness team. + + + + +The Role + +As a Data Scientist or Senior Data Scientist, your main role will involve enhancing our fundamental analytical strategies and client-oriented tools and systems, ensuring they stay at the forefront of the market and integrate smoothly with larger group projects. Specifically, we are seeking someone who can: + +Continuously improve and support our array of client-facing tools and solutions. +Design and maintain cloud-based systems, focusing on optimizing speed, scalability, and security. +Contribute to the innovation of our core analytical products, ensuring our marketing measurement solutions adopt cutting-edge techniques. +Aid our analyst teams in automating their workflows and processes. +Partner with senior leadership to translate strategic ideas into actionable development plans. +Collaborate with development teams across our group to guarantee seamless integration of our solutions into their platforms and systems. + + + + +About You + +We’re looking for: + +2+ years of commercial experience within a Data Scientist/Python Developer role +Prior experience of building client facing tools using Python +Experience with tools such as Dash, Flask, and/or Streamlit +Knowledge of data science libraries e.g. Pandas, Seaborn, Sklearn, Statsmodels, Tidyverse Family, Plotly, Highcharter, Nloptr, R6, Testhat +Knowledge of cloud computing (GCP or AWS preferred) +Excellent stakeholder communication skills +Prior experience or knowledge of Marketing Mix Modelling (MMM) would be highly desirable, though not essential + + + + +What’s in it for you? + +Unlimited annual leave +Pension contributions +Regular social events +Dedicated progression plans + +Show more ","
    + + + + + +
    +
    +

    Senior Data Scientist/Python Developer

    London (Hybrid – 2 days per week onsite)


    Are you a Data Scientist with 2+ years of Python Development experience looking for your next role?


    Do you thrive working within an environment with multiple exciting projects to get stuck into?


    Do you want to join an organization that puts a genuine investment into your career growth & has a culture of promoting from within?


    MBN Solutions are proud to be working with a long-standing Media Agency client of ours to support them in the search for a Data Scientist to join the team. Due to continued success and an upcoming stream of new clients & projects, our client are looking to expand their Marketing Effectiveness team.


    The Role

    As a Data Scientist or Senior Data Scientist, your main role will involve enhancing our fundamental analytical strategies and client-oriented tools and systems, ensuring they stay at the forefront of the market and integrate smoothly with larger group projects. Specifically, we are seeking someone who can:

    • Continuously improve and support our array of client-facing tools and solutions.
    • Design and maintain cloud-based systems, focusing on optimizing speed, scalability, and security.
    • Contribute to the innovation of our core analytical products, ensuring our marketing measurement solutions adopt cutting-edge techniques.
    • Aid our analyst teams in automating their workflows and processes.
    • Partner with senior leadership to translate strategic ideas into actionable development plans.
    • Collaborate with development teams across our group to guarantee seamless integration of our solutions into their platforms and systems.


    About You

    We’re looking for:

    • 2+ years of commercial experience within a Data Scientist/Python Developer role
    • Prior experience of building client facing tools using Python
    • Experience with tools such as Dash, Flask, and/or Streamlit
    • Knowledge of data science libraries e.g. Pandas, Seaborn, Sklearn, Statsmodels, Tidyverse Family, Plotly, Highcharter, Nloptr, R6, Testhat
    • Knowledge of cloud computing (GCP or AWS preferred)
    • Excellent stakeholder communication skills
    • Prior experience or knowledge of Marketing Mix Modelling (MMM) would be highly desirable, though not essential


    What’s in it for you?

    • Unlimited annual leave
    • Pension contributions
    • Regular social events
    • Dedicated progression plans

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3995395648,https://uk.linkedin.com/jobs/view/senior-data-scientist-at-numi-3995395648?position=1&pageNum=10&refId=NGfenYtNVZd5EUFMVUPD1g%3D%3D&trackingId=DzInIr5IWx0RLmmjR9zLvw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,numi,"London Area, United Kingdom","Deep Tech AI Start-Up - Senior Data Scientist - £80-115k + equity 🤖 + + + + +numi have partnered with a pioneering deep-tech AI company to hire a Principal Data Scientist! + +You'll be spearheading cutting-edge projects, transforming enterprises into cognitive powerhouses, and driving AI adoption across the organisation. As a data science leader, you'll set high standards, deliver compelling insights to executives, and shape the future of AI-driven decision-making. + + + + +Ready to flex your data science muscles and revolutionise how businesses operate? Here's what you'll be doing... + + + + +Strategic Insight: Transform complex data insights into actionable business strategies +Data Science Innovation: Lead advancements in cutting-edge methodologies and best practices, setting new industry standards +Advanced Model Development: Design and implement sophisticated predictive models using Python's ecosystem, including TensorFlow, Keras, and PyTorch +Collaboration: Engage with executive leadership and diverse teams to develop data science strategies that amplify business objectives +Trend Leadership: Stay at the forefront of ML and data science trends, fostering a culture of continuous learning and innovation +Project Management: Skillfully manage multiple projects while providing guidance to data scientists and ML experts across the company +Quality: Ensure seamless transition of solutions to production, upholding the highest quality standards throughout the process + + + + +You'll need... + +Strong skills in Python, SQL, Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch +6+ years experience in quantitative analytics or data modelling +Expertise in ML, predictive modelling, and algorithm development +BIG love of working on complex, transformational projects +Ability to take ownership of projects and work autonomously +Leadership capabilities to motivate and inspire a team + + + + +Why Else Would You Want to Join? + +🚀 Unlocking Endless Possibilities: + +Their AI platform integrates AI with advanced data engineering techniques to offer unparalleled insights, transforming decision-making across industries. + +🏬 Driving Industry Innovation: + +From optimising business processes to enhancing customer experiences, they're reshaping how enterprises operate with data-driven strategies. + +🌐 Versatile Solutions for Varied Sectors: + +Their adaptable platform caters to diverse industries, including retail, healthcare, transportation, and more, offering tailored solutions for every business need. + +🏠 Expanding Global Impact: + +As they expand into new markets and sectors, they're pioneering new standards in data engineering, ensuring businesses stay agile and competitive in a rapidly evolving digital landscape. + + + + +Interested? Apply now or reach out to daisy@wearenumi.com for further details! + +Show more ","
    + + + + + +
    +
    +

    Deep Tech AI Start-Up - Senior Data Scientist - £80-115k + equity 🤖


    numi have partnered with a pioneering deep-tech AI company to hire a Principal Data Scientist!

    You'll be spearheading cutting-edge projects, transforming enterprises into cognitive powerhouses, and driving AI adoption across the organisation. As a data science leader, you'll set high standards, deliver compelling insights to executives, and shape the future of AI-driven decision-making.


    Ready to flex your data science muscles and revolutionise how businesses operate? Here's what you'll be doing...


    • Strategic Insight: Transform complex data insights into actionable business strategies
    • Data Science Innovation: Lead advancements in cutting-edge methodologies and best practices, setting new industry standards
    • Advanced Model Development: Design and implement sophisticated predictive models using Python's ecosystem, including TensorFlow, Keras, and PyTorch
    • Collaboration: Engage with executive leadership and diverse teams to develop data science strategies that amplify business objectives
    • Trend Leadership: Stay at the forefront of ML and data science trends, fostering a culture of continuous learning and innovation
    • Project Management: Skillfully manage multiple projects while providing guidance to data scientists and ML experts across the company
    • Quality: Ensure seamless transition of solutions to production, upholding the highest quality standards throughout the process


    You'll need...

    • Strong skills in Python, SQL, Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch
    • 6+ years experience in quantitative analytics or data modelling
    • Expertise in ML, predictive modelling, and algorithm development
    • BIG love of working on complex, transformational projects
    • Ability to take ownership of projects and work autonomously
    • Leadership capabilities to motivate and inspire a team


    Why Else Would You Want to Join?

    🚀 Unlocking Endless Possibilities:

    Their AI platform integrates AI with advanced data engineering techniques to offer unparalleled insights, transforming decision-making across industries.

    🏬 Driving Industry Innovation:

    From optimising business processes to enhancing customer experiences, they're reshaping how enterprises operate with data-driven strategies.

    🌐 Versatile Solutions for Varied Sectors:

    Their adaptable platform caters to diverse industries, including retail, healthcare, transportation, and more, offering tailored solutions for every business need.

    🏠 Expanding Global Impact:

    As they expand into new markets and sectors, they're pioneering new standards in data engineering, ensuring businesses stay agile and competitive in a rapidly evolving digital landscape.


    Interested? Apply now or reach out to daisy@wearenumi.com for further details!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +4008628214,https://uk.linkedin.com/jobs/view/data-scientist-at-houseful-4008628214?position=4&pageNum=10&refId=NGfenYtNVZd5EUFMVUPD1g%3D%3D&trackingId=yF%2Ft%2B2xXxPX7ENb77WKRTw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Houseful,"London, England, United Kingdom","We want to make Houseful more welcoming, fair, and representative. If your background is underrepresented in the technology or property sectors, we actively encourage your application. + +Hybrid - Minimum 2 days on-site in London, Tower Bridge HQ + +At Houseful, we're here to help everyone make intelligent decisions about their home. + +Do the best work of your life! + +Houseful is home to trusted brands Zoopla, Alto, Hometrack, Calcasa, Mojo and Prime Location. Together, we're creating the connections that power better property decisions, by unlocking the combined strength of software, data and insight. + +We make moves with head and heart to achieve our big ambitions, and to drive progress in the property market. There's never been a better time to join us. + +Hometrack + +Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering market-leading valuation and property data services to the financial, property, and technology industries. Our key commercial and go-to-market segment is in financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers. + +The role + +At Hometrack, we are looking for a talented Data Scientist with demonstrable experience in machine learning. Our Data Science team aims to implement data science into our automated valuation models to ensure we deliver the best products for customers. To achieve this objective, we need your support with: + + +Researching new datasets and advanced machine learning techniques that can be used to increase the accuracy of our property valuation model and improve our AI capabilities across our model and product range +Ensuring our models perform well in real-world conditions and monitoring their performance over time +Work collaboratively with fellow Data Scientists, Analysts and Data Engineers +Meeting with stakeholders to translate business needs into data science problems + + + +Requirements + + +An advanced degree in Computer Science, Mathematics, Physics or other quantitative discipline +Strong sense of responsibility and a track record of delivering high-quality results in a fast-paced environment +Proficient in Python and its associated libraries such as Sckit-learn, Pandas, NumPy, PyTorch, PySpark and LightGBM +At least two years experience applying data science to business/real world applications +Have some experience with data engineering, building data pipelines with PySpark or SQL to power machine learning applications +Comfortable working with version control systems (e.g git) +Experienced at identifying problems that can be solved with machine learning and delivering them from prototype through to production +Great communicator - convey complex ideas and solutions in clear, precise and accessible ways + + +If you don't meet all these requirements but think you would be a good fit for the role, please still reach out! + +Benefits + + +Everyday Flex - greater flexibility over where and when you work +25 days annual leave + extra days for years of service +Day off for volunteering & Digital detox day +Festive Closure - business closed for period between Christmas and New Year +Cycle to work and electric car schemes +Free Calm App membership +Enhanced Parental leave +Fertility Treatment Financial Support +Group Income Protection and private medical insurance +Gym on-site in London +7.5% pension contribution by the company +Discretionary annual bonus up to 10% of base salary +Talent referral bonus up to £5K +Show more ","
    + + + + + +
    +
    + We want to make Houseful more welcoming, fair, and representative. If your background is underrepresented in the technology or property sectors, we actively encourage your application.

    Hybrid - Minimum 2 days on-site in London, Tower Bridge HQ

    At Houseful, we're here to help everyone make intelligent decisions about their home.

    Do the best work of your life!

    Houseful is home to trusted brands Zoopla, Alto, Hometrack, Calcasa, Mojo and Prime Location. Together, we're creating the connections that power better property decisions, by unlocking the combined strength of software, data and insight.

    We make moves with head and heart to achieve our big ambitions, and to drive progress in the property market. There's never been a better time to join us.

    Hometrack

    Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering market-leading valuation and property data services to the financial, property, and technology industries. Our key commercial and go-to-market segment is in financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers.

    The role

    At Hometrack, we are looking for a talented Data Scientist with demonstrable experience in machine learning. Our Data Science team aims to implement data science into our automated valuation models to ensure we deliver the best products for customers. To achieve this objective, we need your support with:

    • Researching new datasets and advanced machine learning techniques that can be used to increase the accuracy of our property valuation model and improve our AI capabilities across our model and product range
    • Ensuring our models perform well in real-world conditions and monitoring their performance over time
    • Work collaboratively with fellow Data Scientists, Analysts and Data Engineers
    • Meeting with stakeholders to translate business needs into data science problems


    Requirements

    • An advanced degree in Computer Science, Mathematics, Physics or other quantitative discipline
    • Strong sense of responsibility and a track record of delivering high-quality results in a fast-paced environment
    • Proficient in Python and its associated libraries such as Sckit-learn, Pandas, NumPy, PyTorch, PySpark and LightGBM
    • At least two years experience applying data science to business/real world applications
    • Have some experience with data engineering, building data pipelines with PySpark or SQL to power machine learning applications
    • Comfortable working with version control systems (e.g git)
    • Experienced at identifying problems that can be solved with machine learning and delivering them from prototype through to production
    • Great communicator - convey complex ideas and solutions in clear, precise and accessible ways

    If you don't meet all these requirements but think you would be a good fit for the role, please still reach out!

    Benefits

    • Everyday Flex - greater flexibility over where and when you work
    • 25 days annual leave + extra days for years of service
    • Day off for volunteering & Digital detox day
    • Festive Closure - business closed for period between Christmas and New Year
    • Cycle to work and electric car schemes
    • Free Calm App membership
    • Enhanced Parental leave
    • Fertility Treatment Financial Support
    • Group Income Protection and private medical insurance
    • Gym on-site in London
    • 7.5% pension contribution by the company
    • Discretionary annual bonus up to 10% of base salary
    • Talent referral bonus up to £5K
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4005626196,https://uk.linkedin.com/jobs/view/data-scientist-at-tech-talent-partners-4005626196?position=6&pageNum=10&refId=NGfenYtNVZd5EUFMVUPD1g%3D%3D&trackingId=qsKguL0rWNmXixekfo4kyA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Tech Talent Partners,"London Area, United Kingdom","Data Scientist + + + + +Up to £80K +5 days per week in the office +Cannot offer sponsorship + + + + +A ground-breaking tech company is looking for a DevOps Engineer to help them craft their market changing technology platform. + + + + +After closing a €12M seed round they’re poised for significant expansion. + + + + +You will leverage data science techniques to analyse and model data from hundreds of thousands of listings every day, using AI and machine learning to enhance their data-driven insights and decision-making processes. + + + + +Key Responsibilities + + + + +Develop and implement machine learning models to improve valuation and predictive analytics and build these into their data pipelines. +Analyse large datasets to extract meaningful insights. +Collaborate with data engineers to maintain and enhance our data pipeline, ensuring data quality and accessibility for analysis. +Communicate findings to stakeholders, translating complex data into actionable insights. + + + + +Qualifications + + + + +Minimum 2 years of relevant professional experience. +Proficient in Python, SQL. +Experience with machine learning frameworks and Python libraries. +Strong understanding of statistical analysis and data modelling. +Experience with AWS (or other cloud platforms) services (S3, RDS, Lambda, EC2). +Familiarity with data visualisation tools (e.g., Matplotlib, Seaborn, Plotly). + +Show more ","
    + + + + + +
    +
    +

    Data Scientist


    • Up to £80K
    • 5 days per week in the office
    • Cannot offer sponsorship


    A ground-breaking tech company is looking for a DevOps Engineer to help them craft their market changing technology platform.


    After closing a €12M seed round they’re poised for significant expansion.


    You will leverage data science techniques to analyse and model data from hundreds of thousands of listings every day, using AI and machine learning to enhance their data-driven insights and decision-making processes.


    Key Responsibilities


    • Develop and implement machine learning models to improve valuation and predictive analytics and build these into their data pipelines.
    • Analyse large datasets to extract meaningful insights.
    • Collaborate with data engineers to maintain and enhance our data pipeline, ensuring data quality and accessibility for analysis.
    • Communicate findings to stakeholders, translating complex data into actionable insights.


    Qualifications


    • Minimum 2 years of relevant professional experience.
    • Proficient in Python, SQL.
    • Experience with machine learning frameworks and Python libraries.
    • Strong understanding of statistical analysis and data modelling.
    • Experience with AWS (or other cloud platforms) services (S3, RDS, Lambda, EC2).
    • Familiarity with data visualisation tools (e.g., Matplotlib, Seaborn, Plotly).

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3967694202,https://uk.linkedin.com/jobs/view/machine-learning-engineer-at-bjss-3967694202?position=8&pageNum=10&refId=NGfenYtNVZd5EUFMVUPD1g%3D%3D&trackingId=uQ0VjZcHtuu4Lu2aCYlIQQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,BJSS,"London Area, United Kingdom","About Us + + + + +We’re an award-winning innovative tech consultancy - a team of creative problem solvers. Since 1993 we’ve been finding better, more sustainable ways to solve complex technology problems for some of the world’s leading organisations and delivered solutions that millions of people use every day. + + + + +In the last 30 years we won several awards, including a prestigious Queen’s Award for Enterprise in the Innovation category for our Enterprise Agile delivery approach. + + + + +Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. + + + + +We want to continue to grow our team with people just like you! + + + + +About the Role + + + + +As a Machine Learning Engineer at BJSS, you’ll collaborate with some of the brightest and best in the industry as part of multi-disciplinary teams. You’ll work in a fast moving, agile environment and will be involved in implementing machine learning algorithms, building production Machine Learning systems and developing MLOps processes. + + + + +You’ll help deliver some of the most exciting digital programmes around for clients in a range of industries by: + +Applying cross-disciplinary thinking +Building a deep understanding of business domain and user needs and making sure that the actual business value is unlocked as early as possible +Thinking holistically and treating data as a business service + + + + +About You + + + + +You should apply if you have: + +Proven Machine Learning Expertise: Hands-on experience in developing and deploying Machine Learning models in production environments. Solid grasp of common Machine Learning algorithms and their application +Software Engineering Skills: Proficiency in Python, with a focus on writing testable, modular code. Strong understanding of data structures, data modeling, and software architecture +Data Science Library Knowledge: Deep understanding of key Data Science and Machine Learning libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow), with a preference for PySpark experience +Model Productionisation: Experience in taking Machine Learning models from development to production +CI/CD and MLOps Experience: Familiarity with Continuous Integration and Continuous Deployment pipelines, especially in a Machine Learning or DevOps context +Cloud Platforms: Experience building solutions using major cloud services (Azure, AWS, GCP) +Analytical thinking: Exceptional problem-solving abilities backed by analytical rigor + + + + +Some of the Perks + + + + +Flexible benefits allowance – you choose how to spend your allowance (additional pension contributions, healthcare, dental and more) +Industry leading health and wellbeing plan - we partner with several wellbeing support functions to cater to each individual's need, including 24/7 GP services, mental health support, and other +Life Assurance (4 x annual salary) +25 days annual leave plus bank holidays +Hybrid working - Our roles are not fully remote as we take pride in the tight knit communities we have created at our local offices. But we offer plenty of flexibility and you can split your time between the office, client site and WFH +Discounts – we have preferred rates from dozens of retail, lifestyle, and utility brands +An industry-leading referral scheme with no limits on the number of referrals +Flexible holiday buy/sell option +Electric vehicle scheme +Training opportunities and incentives – we support professional certifications across engineering and non-engineering roles, including unlimited access to O’Reilly +Giving back – the ability to get involved nationally and regionally with partnerships to get people from diverse backgrounds into tech +You will become part of a squad with people from different areas within the business who will help you grow at BJSS +We have a busy social calendar that you can choose to join– quarterly town halls/squad nights out/weekends away with families included/office get togethers +GymFlex gym membership programme + +Show more ","
    + + + + + +
    +
    +

    About Us


    We’re an award-winning innovative tech consultancy - a team of creative problem solvers. Since 1993 we’ve been finding better, more sustainable ways to solve complex technology problems for some of the world’s leading organisations and delivered solutions that millions of people use every day.


    In the last 30 years we won several awards, including a prestigious Queen’s Award for Enterprise in the Innovation category for our Enterprise Agile delivery approach.


    Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery.


    We want to continue to grow our team with people just like you!


    About the Role


    As a Machine Learning Engineer at BJSS, you’ll collaborate with some of the brightest and best in the industry as part of multi-disciplinary teams. You’ll work in a fast moving, agile environment and will be involved in implementing machine learning algorithms, building production Machine Learning systems and developing MLOps processes.


    You’ll help deliver some of the most exciting digital programmes around for clients in a range of industries by:

    • Applying cross-disciplinary thinking
    • Building a deep understanding of business domain and user needs and making sure that the actual business value is unlocked as early as possible
    • Thinking holistically and treating data as a business service


    About You


    You should apply if you have:

    • Proven Machine Learning Expertise: Hands-on experience in developing and deploying Machine Learning models in production environments. Solid grasp of common Machine Learning algorithms and their application
    • Software Engineering Skills: Proficiency in Python, with a focus on writing testable, modular code. Strong understanding of data structures, data modeling, and software architecture
    • Data Science Library Knowledge: Deep understanding of key Data Science and Machine Learning libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow), with a preference for PySpark experience
    • Model Productionisation: Experience in taking Machine Learning models from development to production
    • CI/CD and MLOps Experience: Familiarity with Continuous Integration and Continuous Deployment pipelines, especially in a Machine Learning or DevOps context
    • Cloud Platforms: Experience building solutions using major cloud services (Azure, AWS, GCP)
    • Analytical thinking: Exceptional problem-solving abilities backed by analytical rigor


    Some of the Perks


    • Flexible benefits allowance – you choose how to spend your allowance (additional pension contributions, healthcare, dental and more)
    • Industry leading health and wellbeing plan - we partner with several wellbeing support functions to cater to each individual's need, including 24/7 GP services, mental health support, and other
    • Life Assurance (4 x annual salary)
    • 25 days annual leave plus bank holidays
    • Hybrid working - Our roles are not fully remote as we take pride in the tight knit communities we have created at our local offices. But we offer plenty of flexibility and you can split your time between the office, client site and WFH
    • Discounts – we have preferred rates from dozens of retail, lifestyle, and utility brands
    • An industry-leading referral scheme with no limits on the number of referrals
    • Flexible holiday buy/sell option
    • Electric vehicle scheme
    • Training opportunities and incentives – we support professional certifications across engineering and non-engineering roles, including unlimited access to O’Reilly
    • Giving back – the ability to get involved nationally and regionally with partnerships to get people from diverse backgrounds into tech
    • You will become part of a squad with people from different areas within the business who will help you grow at BJSS
    • We have a busy social calendar that you can choose to join– quarterly town halls/squad nights out/weekends away with families included/office get togethers
    • GymFlex gym membership programme

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3987582698,https://uk.linkedin.com/jobs/view/applied-data-scientist-causal-ai-at-causalens-3987582698?position=10&pageNum=10&refId=NGfenYtNVZd5EUFMVUPD1g%3D%3D&trackingId=dimjpPd7oMzXZAdMlkX%2B8g%3D%3D&trk=public_jobs_jserp-result_search-card,Applied Data Scientist - Causal AI,causaLens,"London Area, United Kingdom","causaLens is the pioneer of Causal AI — a giant leap in machine intelligence. + + + + +We are on a mission to build truly intelligent machines, machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, then causaLens is the right place for you. Everything we do is at the forefront of technological advancements, and we are always on the lookout for people to join us whose skills and passion tower above the rest. + + + + +Since the company was established in 2017, causaLens has: + +🥳Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI - here + +🚀Open sourced two of our internal tools and packages to support the open-source community, see Dara and Causal Graphs. + +🦄Raised $45 million in Series A funding + +🏆Been named a leading provider of Causal AI solutions by Gartner - here + +🚀Included in Otta’s 2022 Rocket List as one of the fastest-growing companies to launch your career + + + + +At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions for the business. Our platform is trusted and used by data science teams in leading organizations and provides real value across a wide variety of industries, and it's only the beginning. + + + + +Our Mission + +To radically advance human decision-making. + +A world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare. + +Head to our website homepage and watch the ‘Why Causal AI’ video to learn more. + + + + +The Role + +We are looking for a Data Scientist based in London to join us in spreading our Causal AI technology to every business on the planet. This is a full-time placement with significant opportunities for personal development. The Applied Data Scientist will develop causal-AI-driven models and decision applications using our technology to solve the most high-impact challenges in industries like retail, marketing, supply chain, manufacturing and finance. + + + + +What you will do + +As a Data Scientist at causaLens, you will play a pivotal role in advancing our Causal AI technology. This position demands a strong foundation in data science, particularly with time series or tabular use-cases, preferably using Python. Some of your responsibilities will include: + + + + +Using our causal AI framework to build causal models and decision applications, using our proprietary causal discovery, modelling, and decision intelligence architectures on client-supplied data sets and use cases. +Collaborating directly with business stakeholders to integrate domain knowledge into the modeling process, demonstrating how insights can enhance decision workflows. +Crafting long-term visions and plans, in collaboration with clients and causaLens stakeholders, to successfully implement causal models and insights into customers' strategies. +Work closely with the product and research teams to shape the development of our platform. + + + + +Job Requirements + +At least 2 years of commercial data science experience with time series or tabular use-cases, preferably using Python +Strong academic record in a quantitative field (MEng, MSci, EngD or PhD) +Excellent and proven communication and teamwork skills +Previous experience in high growth technology companies or technical consultancy is a plus +Previous experience in sales, pre-sales, and/or other technical evangelism is a plus +Experience in supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or public sector is a plus + + + + +About causaLens + +Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect — a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications, and many others. + + + + +We may be biased, but we believe you’ll be in good company. We offer a hybrid working setup and are dedicated to building an inclusive culture where diverse people and perspectives are welcomed. Aside from joining a smart and inspiring team, you’ll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs! + + + + +What we offer + +We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday, and a good work-life balance, we offer the following: + +Access to mental health support through Spill +Competitive salary +25 days of paid holiday, plus bank holidays +Share options +Pension scheme +Happy hours and team outings +Referral bonus program +Cycle to work scheme +Friendly tech purchases +Office snacks and drinks + + + + +Logistics + +Our interview process consists of a few screening interviews and a ""Day 0"" which is spent with the team (in-office). We will always be as transparent as possible so please don’t hesitate to reach out if you have any questions. + +Show more ","
    + + + + + +
    +
    +

    causaLens is the pioneer of Causal AI — a giant leap in machine intelligence.


    We are on a mission to build truly intelligent machines, machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, then causaLens is the right place for you. Everything we do is at the forefront of technological advancements, and we are always on the lookout for people to join us whose skills and passion tower above the rest.


    Since the company was established in 2017, causaLens has:

    🥳Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI - here

    🚀Open sourced two of our internal tools and packages to support the open-source community, see Dara and Causal Graphs.

    🦄Raised $45 million in Series A funding

    🏆Been named a leading provider of Causal AI solutions by Gartner - here

    🚀Included in Otta’s 2022 Rocket List as one of the fastest-growing companies to launch your career


    At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions for the business. Our platform is trusted and used by data science teams in leading organizations and provides real value across a wide variety of industries, and it's only the beginning.


    Our Mission

    To radically advance human decision-making.

    A world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.

    Head to our website homepage and watch the ‘Why Causal AI’ video to learn more.


    The Role

    We are looking for a Data Scientist based in London to join us in spreading our Causal AI technology to every business on the planet. This is a full-time placement with significant opportunities for personal development. The Applied Data Scientist will develop causal-AI-driven models and decision applications using our technology to solve the most high-impact challenges in industries like retail, marketing, supply chain, manufacturing and finance.


    What you will do

    As a Data Scientist at causaLens, you will play a pivotal role in advancing our Causal AI technology. This position demands a strong foundation in data science, particularly with time series or tabular use-cases, preferably using Python. Some of your responsibilities will include:


    • Using our causal AI framework to build causal models and decision applications, using our proprietary causal discovery, modelling, and decision intelligence architectures on client-supplied data sets and use cases.
    • Collaborating directly with business stakeholders to integrate domain knowledge into the modeling process, demonstrating how insights can enhance decision workflows.
    • Crafting long-term visions and plans, in collaboration with clients and causaLens stakeholders, to successfully implement causal models and insights into customers' strategies.
    • Work closely with the product and research teams to shape the development of our platform.


    Job Requirements

    • At least 2 years of commercial data science experience with time series or tabular use-cases, preferably using Python
    • Strong academic record in a quantitative field (MEng, MSci, EngD or PhD)
    • Excellent and proven communication and teamwork skills
    • Previous experience in high growth technology companies or technical consultancy is a plus
    • Previous experience in sales, pre-sales, and/or other technical evangelism is a plus
    • Experience in supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or public sector is a plus


    About causaLens

    Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect — a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications, and many others.


    We may be biased, but we believe you’ll be in good company. We offer a hybrid working setup and are dedicated to building an inclusive culture where diverse people and perspectives are welcomed. Aside from joining a smart and inspiring team, you’ll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs!


    What we offer

    We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday, and a good work-life balance, we offer the following:

    • Access to mental health support through Spill
    • Competitive salary
    • 25 days of paid holiday, plus bank holidays
    • Share options
    • Pension scheme
    • Happy hours and team outings
    • Referral bonus program
    • Cycle to work scheme
    • Friendly tech purchases
    • Office snacks and drinks


    Logistics

    Our interview process consists of a few screening interviews and a ""Day 0"" which is spent with the team (in-office). We will always be as transparent as possible so please don’t hesitate to reach out if you have any questions.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-30,[] +3996677476,https://ca.linkedin.com/jobs/view/data-scientist-global-data-and-analytics-at-circle-k-3996677476?position=1&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=uTR3D1U1UXCd5fr6rv2yCA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (Global Data and Analytics),Circle K,"Scarborough, Ontario, Canada","JOIN OUR TEAM! + +At Circle K, our mission is simple: to make our customer’s lives a little easier everyday. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Couche-Tard/Circle K is. We have grown into a successful global company with over 16,000 stores in 29 countries, serving almost 9 million customers every day. In total, more than 150,000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there.   Are you ready to grow your career? Let's grow together! + +Data Scientist (Global Data and Analytics) + +________________________________________________________ + +Department: Global Data and Analytics + +Location: Toronto, ON (305 Milner Ave, Suite 400, M1B 3V4) + +Hybrid work: 3 days at the office and 2 days remotely + +Type of employment: Permanent, Full Time (40 hours) + +________________________________________________________ + +THE ROLE + +As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization. + +The Data Scientist is responsible for delivering advanced analytics projects that drive business results. The ideal candidate should possess the ability to contribute to all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation. + +We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess the abilities to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience. + +What You’ll Do + +Excited to embark on a journey with us? Here's a breakdown of the key responsibilities in this role: + + +Develop advanced analytics and predictive models from design through implementation in the areas of pricing and promotion, marketing, merchandising, and other areas of the business as needed +Participate in the research of analytical methods to find or advance solutions to business problems +Clearly and concisely explain complex analytical findings to non-analytical peers and business leaders +Create analytic datasets in collaboration with data engineering teams that involves data querying, cleaning, transformation, and feature engineering. Define requirements and test cases for Data validation and monitoring +Author programming code (e.g., SQL, Python, R, spark) to assemble and analyze data, following/establishing/enhancing organizational standards and coding practices including code management (i.e. Documentation, use ofGit Hub). Lead and participate in peer code reviews for QA/QC/standards compliance. +Train/Mentor other team members, provide developmental support where necessary +Follow defined project management processes. Actively participate in project plan development and agile ceremonies (development of backlog, sprint planning, daily standups, retros/reviews) and documentation. + + +What You’ll Need + +We want you to join our team! Here's what we're looking for: + +Education + + +Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) +Master’s degree preferred +Masters + 1year / Bachelors + 2 years of experience in a data science/advanced analytics role, or demonstrated ability to perform job functions via academic project/internship experience + + +Knowledge And Skills + + +Demonstrated knowledge of SQL, R and Python; +Experience querying large datasets using SparkSQL or PySpark; +Experience with ML frameworks such as scikit-learn, Tensorflow, Keras, Pytorch, etc.; +Exposure with software development practices, object-oriented principles and test automation; +Exposure to version control systems such as Git – experience preferred +Experience with cloud-based analytics environments (Azure, AWS or GCP); +Experience applying operational research, statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.; +Exposure to agile methodologies using project planning and tracking management tools e.g., JIRA; experience preferred +Strong problem-solving skills and ability to troubleshoot complex distributed systems; +Strong interpersonal skills, including the ability to communicate the business benefits of analytics; +Availability to travel up to 10% of the time + + +Why You Should Work Here + +At Circle K, we believe that our team members are the heart and soul of our business. When you join us, you're not just getting a job – you're becoming part of a vibrant community where your talents are valued, your growth is nurtured, and your contributions make a real difference. Here's why you'll love working with us: + +Benefits Package + + +Group Insurance Program: Stay healthy and happy! Our plan provides you with the flexibility to choose coverage that best meets your needs and add optional insurance (health and dental care, long-term disability, life insurance, health spending account) +Pension Plan: Plan for your future and retire with peace of mind with our pension plan, helping you build a secure financial future. +Share Purchase Plan: Invest in your future and share in our success with our employee stock purchase plan, allowing you to become a shareholder of Couche-Tard/Circle K. +Paid Time Off: Recharge and rejuvenate with paid time off, including vacation days, sick days, and personal days to help you maintain a healthy work-life balance. + + +Additional Perks + + +Employee Discounts: Enjoy exclusive discounts on our products and services, making it even easier to fuel up and stock up on your favorite goodies. +Training and Development: Grow your skills and advance your career with access to ongoing training and development opportunities, including workshops, seminars, and online courses. +Recognition and Rewards: We celebrate our team's achievements and milestones with a range of recognition programs, rewards, and incentives to show our appreciation for your hard work and dedication. +Mentorship Program: Take your career to new heights with our mentorship program, where seasoned professionals provide guidance, support, and valuable insights to help you reach your full potential. +Scholarship Program: Invest in your education and future success with our scholarship program, available not only to our employees but also to their children. We're committed to supporting your lifelong learning journey and empowering you to achieve your academic and career goals. + + +INTERESTED? You are only a few clicks away from joining an exceptional company! Visit our careers page at https://workwithus.circlek.com/ca/en to submit your application. We can't wait to hear from you! + +At Couche-Tard/Circle K, we're committed to fostering an inclusive and diverse workplace where everyone is treated with respect and dignity. We welcome individuals from all backgrounds and walks of life to join our team and contribute their unique perspectives and talents. + +We thank all candidates for their interest in this position. Please note that only selected candidates will be contacted for further steps in the hiring process. + +Circle K values diversity in the workplace and encourages applications from the following designated groups: women, aboriginal peoples, persons with disabilities and members of visible minorities. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations are available on request in all aspects of the selection process. + + +Show more ","
    + + + + + +
    +
    + JOIN OUR TEAM!

    At Circle K, our mission is simple: to make our customer’s lives a little easier everyday. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Couche-Tard/Circle K is. We have grown into a successful global company with over 16,000 stores in 29 countries, serving almost 9 million customers every day. In total, more than 150,000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there.   Are you ready to grow your career? Let's grow together!

    Data Scientist (Global Data and Analytics)

    ________________________________________________________

    Department: Global Data and Analytics

    Location: Toronto, ON (305 Milner Ave, Suite 400, M1B 3V4)

    Hybrid work: 3 days at the office and 2 days remotely

    Type of employment: Permanent, Full Time (40 hours)

    ________________________________________________________

    THE ROLE

    As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization.

    The Data Scientist is responsible for delivering advanced analytics projects that drive business results. The ideal candidate should possess the ability to contribute to all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation.

    We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess the abilities to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience.

    What You’ll Do

    Excited to embark on a journey with us? Here's a breakdown of the key responsibilities in this role:

    • Develop advanced analytics and predictive models from design through implementation in the areas of pricing and promotion, marketing, merchandising, and other areas of the business as needed
    • Participate in the research of analytical methods to find or advance solutions to business problems
    • Clearly and concisely explain complex analytical findings to non-analytical peers and business leaders
    • Create analytic datasets in collaboration with data engineering teams that involves data querying, cleaning, transformation, and feature engineering. Define requirements and test cases for Data validation and monitoring
    • Author programming code (e.g., SQL, Python, R, spark) to assemble and analyze data, following/establishing/enhancing organizational standards and coding practices including code management (i.e. Documentation, use ofGit Hub). Lead and participate in peer code reviews for QA/QC/standards compliance.
    • Train/Mentor other team members, provide developmental support where necessary
    • Follow defined project management processes. Actively participate in project plan development and agile ceremonies (development of backlog, sprint planning, daily standups, retros/reviews) and documentation.

    What You’ll Need

    We want you to join our team! Here's what we're looking for:

    Education

    • Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
    • Master’s degree preferred
    • Masters + 1year / Bachelors + 2 years of experience in a data science/advanced analytics role, or demonstrated ability to perform job functions via academic project/internship experience

    Knowledge And Skills

    • Demonstrated knowledge of SQL, R and Python;
    • Experience querying large datasets using SparkSQL or PySpark;
    • Experience with ML frameworks such as scikit-learn, Tensorflow, Keras, Pytorch, etc.;
    • Exposure with software development practices, object-oriented principles and test automation;
    • Exposure to version control systems such as Git – experience preferred
    • Experience with cloud-based analytics environments (Azure, AWS or GCP);
    • Experience applying operational research, statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.;
    • Exposure to agile methodologies using project planning and tracking management tools e.g., JIRA; experience preferred
    • Strong problem-solving skills and ability to troubleshoot complex distributed systems;
    • Strong interpersonal skills, including the ability to communicate the business benefits of analytics;
    • Availability to travel up to 10% of the time

    Why You Should Work Here

    At Circle K, we believe that our team members are the heart and soul of our business. When you join us, you're not just getting a job – you're becoming part of a vibrant community where your talents are valued, your growth is nurtured, and your contributions make a real difference. Here's why you'll love working with us:

    Benefits Package

    • Group Insurance Program: Stay healthy and happy! Our plan provides you with the flexibility to choose coverage that best meets your needs and add optional insurance (health and dental care, long-term disability, life insurance, health spending account)
    • Pension Plan: Plan for your future and retire with peace of mind with our pension plan, helping you build a secure financial future.
    • Share Purchase Plan: Invest in your future and share in our success with our employee stock purchase plan, allowing you to become a shareholder of Couche-Tard/Circle K.
    • Paid Time Off: Recharge and rejuvenate with paid time off, including vacation days, sick days, and personal days to help you maintain a healthy work-life balance.

    Additional Perks

    • Employee Discounts: Enjoy exclusive discounts on our products and services, making it even easier to fuel up and stock up on your favorite goodies.
    • Training and Development: Grow your skills and advance your career with access to ongoing training and development opportunities, including workshops, seminars, and online courses.
    • Recognition and Rewards: We celebrate our team's achievements and milestones with a range of recognition programs, rewards, and incentives to show our appreciation for your hard work and dedication.
    • Mentorship Program: Take your career to new heights with our mentorship program, where seasoned professionals provide guidance, support, and valuable insights to help you reach your full potential.
    • Scholarship Program: Invest in your education and future success with our scholarship program, available not only to our employees but also to their children. We're committed to supporting your lifelong learning journey and empowering you to achieve your academic and career goals.

    INTERESTED? You are only a few clicks away from joining an exceptional company! Visit our careers page at https://workwithus.circlek.com/ca/en to submit your application. We can't wait to hear from you!

    At Couche-Tard/Circle K, we're committed to fostering an inclusive and diverse workplace where everyone is treated with respect and dignity. We welcome individuals from all backgrounds and walks of life to join our team and contribute their unique perspectives and talents.

    We thank all candidates for their interest in this position. Please note that only selected candidates will be contacted for further steps in the hiring process.

    Circle K values diversity in the workplace and encourages applications from the following designated groups: women, aboriginal peoples, persons with disabilities and members of visible minorities. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations are available on request in all aspects of the selection process.

     +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4000154110,https://ca.linkedin.com/jobs/view/associate-data-scientist-at-circle-k-4000154110?position=2&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=V1QB4dpwp92w6Tp4eYLKCg%3D%3D&trk=public_jobs_jserp-result_search-card,Associate Data Scientist,Circle K,"Scarborough, Ontario, Canada","JOIN OUR TEAM! + +At Circle K, our mission is simple: to make our customer’s lives a little easier everyday. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Couche-Tard/Circle K is. We have grown into a successful global company with over 16,000 stores in 29 countries, serving almost 9 million customers every day. In total, more than 150,000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there.   Are you ready to grow your career? Let's grow together! + +Associate Data Scientist + +_________________________________________________________________________________ + +Department: Global Data & Analytics + +Location: Toronto, ON (305 Milner Ave, Suite 400, M1B 3V4) + +Hybrid work: 3 days at the office and 2 days remotely + +Type of employment: Permanent, Full Time (40 hours) + +_________________________________________________________________________________ + +THE ROLE + +As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization. + +The Data Scientist is responsible for delivering advanced analytics projects that drive business results. The ideal candidate should possess the ability to contribute to all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation. + +We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess the abilities to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience. + +What You’ll Do + +Excited to embark on a journey with us? Here's a breakdown of the key responsibilities in this role: + + +Develop advanced analytics and predictive models from design through implementation in the areas of pricing and promotion, marketing, merchandising, and other areas of the business as needed +Participate in the research of analytical methods to find or advance solutions to business problems +Clearly and concisely explain complex analytical findings to non-analytical peers and business leaders +Create analytic datasets in collaboration with data engineering teams that involves data querying, cleaning, transformation, and feature engineering. Define requirements and test cases for Data validation and monitoring +Author programming code (e.g., SQL, Python, R, spark) to assemble and analyze data, following/establishing/enhancing organizational standards and coding practices including code management (i.e. Documentation, use of Git Hub). Lead and participate in peer code reviews for QA/QC/standards compliance. +Train/Mentor other team members, provide developmental support where necessary +Follow defined project management processes. Actively participate in project plan development and agile ceremonies (development of backlog, sprint planning, daily standups, retros/reviews) and documentation. + + +What You’ll Need + +We want you to join our team! Here's what we're looking for: + +Knowledge And Skills + + +Demonstrated knowledge of SQL, R and Python; +Experience querying large datasets using SparkSQL or PySpark; +Experience with ML frameworks such as scikit-learn, Tensorflow, Keras, Pytorch, etc.; +Exposure with software development practices, object-oriented principles and test automation; +Exposure to version control systems such as Git – experience preferred +Experience with cloud-based analytics environments (Azure, AWS or GCP); +Experience applying operational research, statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.; +Exposure to agile methodologies using project planning and tracking management tools e.g., JIRA; experience preferred +Strong problem-solving skills including problem spotting and problem scoping; +Strong interpersonal skills, including the ability to communicate the business benefits of analytics; +Availability to travel up to 10% of the time + + +Education + + +Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) +Master’s degree preferred +Internships / experience in data science or related roles preferred +Masters degree / Bachelors + internship experience in a data science/advanced analytics role, or demonstrated ability to perform job functions via academic project/internship experience + + +Why You Should Work Here + +At Couche-Tard/Circle K, we believe that our team members are the heart and soul of our business. When you join us, you're not just getting a job – you're becoming part of a vibrant community where your talents are valued, your growth is nurtured, and your contributions make a real difference. Here's why you'll love working with us: + +Benefits Package + + +Group Insurance Program: Stay healthy and happy! Our plan provides you with the flexibility to choose coverage that best meets your needs and add optional insurance (health and dental care, long-term disability, life insurance, health spending account) +Pension Plan: Plan for your future and retire with peace of mind with our pension plan, helping you build a secure financial future. +Share Purchase Plan: Invest in your future and share in our success with our employee stock purchase plan, allowing you to become a shareholder of Circle K. +Paid Time Off: Recharge and rejuvenate with paid time off, including vacation days, sick days, and personal days to help you maintain a healthy work-life balance. + + +Additional Perks + + +Training and Development: Grow your skills and advance your career with access to ongoing training and development opportunities, including workshops, seminars, and online courses. +Recognition and Rewards: We celebrate our team's achievements and milestones with a range of recognition programs, rewards, and incentives to show our appreciation for your hard work and dedication. +Mentorship Program: Take your career to new heights with our mentorship program, where seasoned professionals provide guidance, support, and valuable insights to help you reach your full potential. +Scholarship Program: Invest in your education and future success with our scholarship program, available not only to our employees but also to their children. We're committed to supporting your lifelong learning journey and empowering you to achieve your academic and career goals. + + +INTERESTED? You are only a few clicks away from joining an exceptional company! Visit our careers page at https://workwithus.circlek.com/ca/en to submit your application. We can't wait to hear from you! + +At Circle K, we're committed to fostering an inclusive and diverse workplace where everyone is treated with respect and dignity. We welcome individuals from all backgrounds and walks of life to join our team and contribute their unique perspectives and talents. + +We thank all candidates for their interest in this position. Please note that only selected candidates will be contacted for further steps in the hiring process. + +Circle K values diversity in the workplace and encourages applications from the following designated groups: women, aboriginal peoples, persons with disabilities and members of visible minorities. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations are available on request in all aspects of the selection process. + + +Show more ","
    + + + + + +
    +
    + JOIN OUR TEAM!

    At Circle K, our mission is simple: to make our customer’s lives a little easier everyday. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Couche-Tard/Circle K is. We have grown into a successful global company with over 16,000 stores in 29 countries, serving almost 9 million customers every day. In total, more than 150,000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there.   Are you ready to grow your career? Let's grow together!

    Associate Data Scientist

    _________________________________________________________________________________

    Department: Global Data & Analytics

    Location: Toronto, ON (305 Milner Ave, Suite 400, M1B 3V4)

    Hybrid work: 3 days at the office and 2 days remotely

    Type of employment: Permanent, Full Time (40 hours)

    _________________________________________________________________________________

    THE ROLE

    As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization.

    The Data Scientist is responsible for delivering advanced analytics projects that drive business results. The ideal candidate should possess the ability to contribute to all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation.

    We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess the abilities to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience.

    What You’ll Do

    Excited to embark on a journey with us? Here's a breakdown of the key responsibilities in this role:

    • Develop advanced analytics and predictive models from design through implementation in the areas of pricing and promotion, marketing, merchandising, and other areas of the business as needed
    • Participate in the research of analytical methods to find or advance solutions to business problems
    • Clearly and concisely explain complex analytical findings to non-analytical peers and business leaders
    • Create analytic datasets in collaboration with data engineering teams that involves data querying, cleaning, transformation, and feature engineering. Define requirements and test cases for Data validation and monitoring
    • Author programming code (e.g., SQL, Python, R, spark) to assemble and analyze data, following/establishing/enhancing organizational standards and coding practices including code management (i.e. Documentation, use of Git Hub). Lead and participate in peer code reviews for QA/QC/standards compliance.
    • Train/Mentor other team members, provide developmental support where necessary
    • Follow defined project management processes. Actively participate in project plan development and agile ceremonies (development of backlog, sprint planning, daily standups, retros/reviews) and documentation.

    What You’ll Need

    We want you to join our team! Here's what we're looking for:

    Knowledge And Skills

    • Demonstrated knowledge of SQL, R and Python;
    • Experience querying large datasets using SparkSQL or PySpark;
    • Experience with ML frameworks such as scikit-learn, Tensorflow, Keras, Pytorch, etc.;
    • Exposure with software development practices, object-oriented principles and test automation;
    • Exposure to version control systems such as Git – experience preferred
    • Experience with cloud-based analytics environments (Azure, AWS or GCP);
    • Experience applying operational research, statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.;
    • Exposure to agile methodologies using project planning and tracking management tools e.g., JIRA; experience preferred
    • Strong problem-solving skills including problem spotting and problem scoping;
    • Strong interpersonal skills, including the ability to communicate the business benefits of analytics;
    • Availability to travel up to 10% of the time

    Education

    • Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
    • Master’s degree preferred
    • Internships / experience in data science or related roles preferred
    • Masters degree / Bachelors + internship experience in a data science/advanced analytics role, or demonstrated ability to perform job functions via academic project/internship experience

    Why You Should Work Here

    At Couche-Tard/Circle K, we believe that our team members are the heart and soul of our business. When you join us, you're not just getting a job – you're becoming part of a vibrant community where your talents are valued, your growth is nurtured, and your contributions make a real difference. Here's why you'll love working with us:

    Benefits Package

    • Group Insurance Program: Stay healthy and happy! Our plan provides you with the flexibility to choose coverage that best meets your needs and add optional insurance (health and dental care, long-term disability, life insurance, health spending account)
    • Pension Plan: Plan for your future and retire with peace of mind with our pension plan, helping you build a secure financial future.
    • Share Purchase Plan: Invest in your future and share in our success with our employee stock purchase plan, allowing you to become a shareholder of Circle K.
    • Paid Time Off: Recharge and rejuvenate with paid time off, including vacation days, sick days, and personal days to help you maintain a healthy work-life balance.

    Additional Perks

    • Training and Development: Grow your skills and advance your career with access to ongoing training and development opportunities, including workshops, seminars, and online courses.
    • Recognition and Rewards: We celebrate our team's achievements and milestones with a range of recognition programs, rewards, and incentives to show our appreciation for your hard work and dedication.
    • Mentorship Program: Take your career to new heights with our mentorship program, where seasoned professionals provide guidance, support, and valuable insights to help you reach your full potential.
    • Scholarship Program: Invest in your education and future success with our scholarship program, available not only to our employees but also to their children. We're committed to supporting your lifelong learning journey and empowering you to achieve your academic and career goals.

    INTERESTED? You are only a few clicks away from joining an exceptional company! Visit our careers page at https://workwithus.circlek.com/ca/en to submit your application. We can't wait to hear from you!

    At Circle K, we're committed to fostering an inclusive and diverse workplace where everyone is treated with respect and dignity. We welcome individuals from all backgrounds and walks of life to join our team and contribute their unique perspectives and talents.

    We thank all candidates for their interest in this position. Please note that only selected candidates will be contacted for further steps in the hiring process.

    Circle K values diversity in the workplace and encourages applications from the following designated groups: women, aboriginal peoples, persons with disabilities and members of visible minorities. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations are available on request in all aspects of the selection process.

     +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4007978677,https://ca.linkedin.com/jobs/view/data-scientist-at-ample-insight-4007978677?position=4&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=O1SV0VD7LTr4AfakXC7ChA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Ample Insight,"Toronto, Ontario, Canada","Company Description + +You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologiesto Fortune 500companies looking to scale their engineering and data capabilities. + +Job Description + +We are looking for Data Scientists who are passionate about Machine Learning, and have deep knowledge in Statistics and Computer Science. You enjoy doing data science projects with structured and/or unstructured data and are motivated to productize scalable machine learning models. We will also rely on you to build data products to extract valuable business insights. Critical thinking and problem-solving skills are essential for this role. + +Qualifications + + +BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding +Experienced implementing and scaling machine learning models in production environments +Strong understanding of machine learning theory +Hands on experience with Statistics +Capable of quickly implementing prototypes of cutting-edge research papers +Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries +Analytical mind and strong business acumen + + +If you're passionate about data science and is hungry to learn, please apply! + +Additional Information + +We have competitive compensation. + +Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management. +Show more ","
    + + + + + +
    +
    + Company Description

    You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologiesto Fortune 500companies looking to scale their engineering and data capabilities.

    Job Description

    We are looking for Data Scientists who are passionate about Machine Learning, and have deep knowledge in Statistics and Computer Science. You enjoy doing data science projects with structured and/or unstructured data and are motivated to productize scalable machine learning models. We will also rely on you to build data products to extract valuable business insights. Critical thinking and problem-solving skills are essential for this role.

    Qualifications

    • BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding
    • Experienced implementing and scaling machine learning models in production environments
    • Strong understanding of machine learning theory
    • Hands on experience with Statistics
    • Capable of quickly implementing prototypes of cutting-edge research papers
    • Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
    • Analytical mind and strong business acumen

    If you're passionate about data science and is hungry to learn, please apply!

    Additional Information

    We have competitive compensation.

    Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4007977721,https://ca.linkedin.com/jobs/view/data-scientist-machine-learning-at-ample-insight-4007977721?position=6&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=Kw0w11OFlPKjoO0h6mmDfA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Machine Learning,Ample Insight,"Toronto, Ontario, Canada","Company Description + +You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologiesto Fortune 500companies looking to scale their engineering and data capabilities. + +Job Description + +We are looking for Data Scientists who are passionate about solving real world problems. You enjoy working with both structured and/or unstructured data and are motivated to productize scalable machine learning models. Critical thinking and problem-solving skills are essential for this role. + +Qualifications + + +BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding +Experienced implementing and scaling machine learning models in production environments +Strong understanding of machine learning theory +Hands on experience with Statistics +Capable of quickly implementing prototypes of cutting-edge research papers +Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries +Analytical mind and strong business acumen + + +If you're passionate about data science and is hungry to learn, please apply! + +Additional Information + + +We have competitive compensation. +Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management. +Show more ","
    + + + + + +
    +
    + Company Description

    You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologiesto Fortune 500companies looking to scale their engineering and data capabilities.

    Job Description

    We are looking for Data Scientists who are passionate about solving real world problems. You enjoy working with both structured and/or unstructured data and are motivated to productize scalable machine learning models. Critical thinking and problem-solving skills are essential for this role.

    Qualifications

    • BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding
    • Experienced implementing and scaling machine learning models in production environments
    • Strong understanding of machine learning theory
    • Hands on experience with Statistics
    • Capable of quickly implementing prototypes of cutting-edge research papers
    • Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
    • Analytical mind and strong business acumen

    If you're passionate about data science and is hungry to learn, please apply!

    Additional Information

    • We have competitive compensation.
    • Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +3929265225,https://ca.linkedin.com/jobs/view/data-scientist-decisions-safety-at-lyft-3929265225?position=7&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=D3AG4IEM0PRVYkSNGjQj2A%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Decisions - Safety",Lyft,"Toronto, Ontario, Canada","At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. + +Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider & Safety Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing. + +As a Data Scientist, Decisions in the Rider & Safety team, you will leverage data and rigorous, analytical thinking to shape our rider app and make business decisions that put our customers first. You will identify and scope opportunities, shape priorities, recommend technical solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, design, engineering, business, and operations stakeholders throughout the organization. + +You will report to a Data Science Manager in the Rider & Safety Science team. + +Responsibilities: + + +Leverage data and analytic frameworks to identify opportunities for growth and efficiency +Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action +Design and analyze online experiments; communicate results and act on launch decisions +Develop analytical frameworks to monitor business and product performance +Establish metrics that measure the health of our products, as well as rider and driver experience + + +Experience: + + +Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience +3+ years of industry experience in a data science or analytics role +Proficiency in SQL - able to write structured and efficient queries on large data sets +Experience in programming, especially with data science and visualization libraries in Python or R is helpful +Experience in online experimentation and statistical analysis +Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners + + +Benefits: + + +Extended health and dental coverage options, along with life insurance and disability benefits +Mental health benefits +Family building benefits +Access to a Health Care Savings Account +In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service +4 Floating Holidays each calendar year prorated based off of date of hire +10 paid sick days per year regardless of province +18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible + + +Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request. + +This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +Show more ","
    + + + + + +
    +
    + At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

    Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider & Safety Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.

    As a Data Scientist, Decisions in the Rider & Safety team, you will leverage data and rigorous, analytical thinking to shape our rider app and make business decisions that put our customers first. You will identify and scope opportunities, shape priorities, recommend technical solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, design, engineering, business, and operations stakeholders throughout the organization.

    You will report to a Data Science Manager in the Rider & Safety Science team.

    Responsibilities:

    • Leverage data and analytic frameworks to identify opportunities for growth and efficiency
    • Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
    • Design and analyze online experiments; communicate results and act on launch decisions
    • Develop analytical frameworks to monitor business and product performance
    • Establish metrics that measure the health of our products, as well as rider and driver experience

    Experience:

    • Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
    • 3+ years of industry experience in a data science or analytics role
    • Proficiency in SQL - able to write structured and efficient queries on large data sets
    • Experience in programming, especially with data science and visualization libraries in Python or R is helpful
    • Experience in online experimentation and statistical analysis
    • Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

    Benefits:

    • Extended health and dental coverage options, along with life insurance and disability benefits
    • Mental health benefits
    • Family building benefits
    • Access to a Health Care Savings Account
    • In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
    • 4 Floating Holidays each calendar year prorated based off of date of hire
    • 10 paid sick days per year regardless of province
    • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

    Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.

    This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-11,[] +4005404149,https://ca.linkedin.com/jobs/view/data-scientist-at-fpt-software-4005404149?position=8&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=fs14C4mLs5EFYVfSNjlFYg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,FPT Software,Canada,"Job description + + + + +▪Understands business problems and designs end to end analytics use cases + +▪Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, maximizing profit, etc.. + +▪Conducts advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance + +▪Can objectively weigh trade-offs of different algorithms and model. + +▪Guide data engineering efforts to ensure alignment with future data science needs + +▪Perform deep dives across various system inputs/outputs and connect to key performance indicators + +▪Collaborate with engineers to implement and deploy scalable solutions + +▪Provides thought leadership by researching best practices, conducting experiments and collaborating with industry leaders + +▪Acts as a change agent + + + + +Technical expertise + +▪MS/PhD in computer science, statistics, economics, mathematics, ops research or related technical discipline + +▪1-4 years’ experience in a statistical and/or data science role (5-10 years for Senior Data Scientist) + +▪Deep knowledge of machine learning, statistics, optimization or related field + +▪Experience with Python, SQL, Spark, Pandas, Numpy, SciPy, Statsmodels, Stan, pymc3, Caret, Scikit-learn, Keras, TensorFlow, Pytorch. + +▪Background in programming in C, C++, Java is beneficial. Experience with is beneficial. + +▪Experience with MLOpsand working with large data sets including (Map/Reduce, Hadoop, Hive, Spark,) + + + + +Agile experience + +▪Experience working in AI startup environment or organizations with an agile culture + +▪Professional attitude and service orientation; superb team player + +Individual skills + +▪Good written and verbal communication skills along with strong desire to work in cross-functional teams + + + + +Mindset & behaviours + +▪Able to build a sense of trust and rapport that creates a comfortable & effective workplace; collaborative + +▪Attitude to thrive in a fun, fast-paced, startup-like environment + +▪Open minded to new approaches and learning + +Show more ","
    + + + + + +
    +
    +

    Job description


    ▪Understands business problems and designs end to end analytics use cases

    ▪Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, maximizing profit, etc..

    ▪Conducts advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance

    ▪Can objectively weigh trade-offs of different algorithms and model.

    ▪Guide data engineering efforts to ensure alignment with future data science needs

    ▪Perform deep dives across various system inputs/outputs and connect to key performance indicators

    ▪Collaborate with engineers to implement and deploy scalable solutions

    ▪Provides thought leadership by researching best practices, conducting experiments and collaborating with industry leaders

    ▪Acts as a change agent


    Technical expertise

    ▪MS/PhD in computer science, statistics, economics, mathematics, ops research or related technical discipline

    ▪1-4 years’ experience in a statistical and/or data science role (5-10 years for Senior Data Scientist)

    ▪Deep knowledge of machine learning, statistics, optimization or related field

    ▪Experience with Python, SQL, Spark, Pandas, Numpy, SciPy, Statsmodels, Stan, pymc3, Caret, Scikit-learn, Keras, TensorFlow, Pytorch.

    ▪Background in programming in C, C++, Java is beneficial. Experience with is beneficial.

    ▪Experience with MLOpsand working with large data sets including (Map/Reduce, Hadoop, Hive, Spark,)


    Agile experience

    ▪Experience working in AI startup environment or organizations with an agile culture

    ▪Professional attitude and service orientation; superb team player

    Individual skills

    ▪Good written and verbal communication skills along with strong desire to work in cross-functional teams


    Mindset & behaviours

    ▪Able to build a sense of trust and rapport that creates a comfortable & effective workplace; collaborative

    ▪Attitude to thrive in a fun, fast-paced, startup-like environment

    ▪Open minded to new approaches and learning

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +4005612843,https://ca.linkedin.com/jobs/view/data-scientist-at-tata-consultancy-services-4005612843?position=12&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=YnxhW1DvT1mXxgWhRtOzlw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Tata Consultancy Services,"Toronto, Ontario, Canada","Inclusion without Exception + +TCS is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity and is reflected in our people stories across our workforce implemented through equitable workplace policies and processes. + + + + +About TCS + +Tata Consultancy Services is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 615,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index. + + + + +Skills and Responsibilities: + +•Advanced degree in data science, statistics, computer science, or similar. + +•Extensive experience as a data scientist + +•Hands-on Years of experience in related field. + +•Proficiency in R or Python, where the former is preferred. + +•Solid and demonstrable knowledge of machine learning techniques and algorithms. + +•Excellent programming skills in languages such as Java or Python. + +•Experience with big data technologies and data analysis software like R. + +•Proficiency in deploying scalable machine learning solutions in production environments, leveraging cloud platforms (AWS Cloud) and technologies like Docker and Kubernetes for containerization and orchestration. + +•Exposure to natural language processing, image processing techniques, and big data stacks like Hadoop or Apache Spark is highly desirable. + +•Strong background in designing and implementing deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models, to solve complex problems in natural language processing, and sequential data analysis. + +•Proficient in the ethical and responsible use of AI, including understanding biases in data and models, ensuring privacy compliance (e.g., GDPR), and promoting transparency and fairness in machine learning applications. + +•Familiarity with NoSQL databases, enterprise search technologies, and recommendation systems. + +•Strong communication skills and the ability to work collaboratively across teams. + +•In-depth understanding of SQL. + +•Demonstrable history of devising and overseeing data-centered projects. + +•Ability to relay insights in layman’s terms, such that these can be used to inform business decisions. + +•Adaptable and comfortable with ambiguity. + +•Proficient in utilizing big data processing frameworks such as Apache Spark and Hadoop for handling and analyzing large datasets, enabling the extraction of meaningful insights from voluminous data. + +•Related Certifications + +Roles and Responsibilities: + +•Formulating, suggesting, and managing data-driven projects that are geared at furthering business interests. + +•Developing and implementing advanced analytics models. + +•Leading data-driven decision-making processes. + +•Managing data science projects from conception to deployment. + +•Collating and cleaning data from various entities for use in downstream system / reporting. + +•Selecting and employing advanced statistical procedures to obtain actionable insights. + +•Cross-validating models to ensure their generalizability. + +•Producing and disseminating nontechnical reports that detail the successes and limitations of each project. + +•Suggesting ways in which insights are obtained might be used to inform business strategies. + +•Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant. + +•Working closely / collaboration with business partners and IT, facilitating business requirement elicitation sessions. + +•Collaborate with stakeholders at all levels to elicit, define, and develop strategic deliverables for complex initiatives. This involves ensuring comprehensive understanding and alignment. + +•Apply Agile techniques, such as user story mapping, personas, and story point estimation, to facilitate effective requirements gathering, analysis, and prioritization. + +•Provide expert technical guidance within your domain to address and anticipate business implications resulting from organizational changes and technological advancements. + +•Conduct in-depth analysis of business processes, systems, and data to identify opportunities for improvement, optimization, and innovation. + +•Develop and present comprehensive recommendations and options to address and resolve complex business challenges, leveraging your expertise and industry best practices. + +•Review high-level designs, test strategies, and test plans to ensure alignment with strategic objectives and overall requirements. + +•Drive process improvements by collaborating with business part + + + + +Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource. + + + + +Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile. + +Show more ","
    + + + + + +
    +
    +

    Inclusion without Exception

    TCS is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity and is reflected in our people stories across our workforce implemented through equitable workplace policies and processes.


    About TCS

    Tata Consultancy Services is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 615,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.


    Skills and Responsibilities:

    •Advanced degree in data science, statistics, computer science, or similar.

    •Extensive experience as a data scientist

    •Hands-on Years of experience in related field.

    •Proficiency in R or Python, where the former is preferred.

    •Solid and demonstrable knowledge of machine learning techniques and algorithms.

    •Excellent programming skills in languages such as Java or Python.

    •Experience with big data technologies and data analysis software like R.

    •Proficiency in deploying scalable machine learning solutions in production environments, leveraging cloud platforms (AWS Cloud) and technologies like Docker and Kubernetes for containerization and orchestration.

    •Exposure to natural language processing, image processing techniques, and big data stacks like Hadoop or Apache Spark is highly desirable.

    •Strong background in designing and implementing deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models, to solve complex problems in natural language processing, and sequential data analysis.

    •Proficient in the ethical and responsible use of AI, including understanding biases in data and models, ensuring privacy compliance (e.g., GDPR), and promoting transparency and fairness in machine learning applications.

    •Familiarity with NoSQL databases, enterprise search technologies, and recommendation systems.

    •Strong communication skills and the ability to work collaboratively across teams.

    •In-depth understanding of SQL.

    •Demonstrable history of devising and overseeing data-centered projects.

    •Ability to relay insights in layman’s terms, such that these can be used to inform business decisions.

    •Adaptable and comfortable with ambiguity.

    •Proficient in utilizing big data processing frameworks such as Apache Spark and Hadoop for handling and analyzing large datasets, enabling the extraction of meaningful insights from voluminous data.

    •Related Certifications

    Roles and Responsibilities:

    •Formulating, suggesting, and managing data-driven projects that are geared at furthering business interests.

    •Developing and implementing advanced analytics models.

    •Leading data-driven decision-making processes.

    •Managing data science projects from conception to deployment.

    •Collating and cleaning data from various entities for use in downstream system / reporting.

    •Selecting and employing advanced statistical procedures to obtain actionable insights.

    •Cross-validating models to ensure their generalizability.

    •Producing and disseminating nontechnical reports that detail the successes and limitations of each project.

    •Suggesting ways in which insights are obtained might be used to inform business strategies.

    •Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.

    •Working closely / collaboration with business partners and IT, facilitating business requirement elicitation sessions.

    •Collaborate with stakeholders at all levels to elicit, define, and develop strategic deliverables for complex initiatives. This involves ensuring comprehensive understanding and alignment.

    •Apply Agile techniques, such as user story mapping, personas, and story point estimation, to facilitate effective requirements gathering, analysis, and prioritization.

    •Provide expert technical guidance within your domain to address and anticipate business implications resulting from organizational changes and technological advancements.

    •Conduct in-depth analysis of business processes, systems, and data to identify opportunities for improvement, optimization, and innovation.

    •Develop and present comprehensive recommendations and options to address and resolve complex business challenges, leveraging your expertise and industry best practices.

    •Review high-level designs, test strategies, and test plans to ensure alignment with strategic objectives and overall requirements.

    •Drive process improvements by collaborating with business part


    Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource.


    Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3986469831,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-ulula-3986469831?position=13&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=Oyu5lHWL1m6huKAmpsUCeA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Ulula,"Toronto, Ontario, Canada","About Ulula + +Based in Toronto with a globally distributed team, Ulula is a software and analytics platform that connects directly and anonymously with workers and communities around the world. Our platform obtains honest feedback and creates more transparent and responsible supply chains. Ulula is a social enterprise that aims to improve working conditions in mining, manufacturing and agribusiness by sourcing and processing accurate and timely insights directly from workers around the world. We have projects across the globe including India, Peru, South Africa and China with clients ranging from NGOs to government departments to household name brands. + +About The Role + +We are searching for a Machine Learning Engineer to join our growing technology team.. The successful candidate will be building and implementing applications utilizing the Generative AI capabilities of LLMs, developing AI models for predicting issues in the operations of clients and building MVPs. + +You will work with other Developers, the Product Manager and UX/UI Designers, QA/UAT throughout the software development life cycle. In this role, you will be a team player with a keen eye for detail and problem-solving skills. If you also have experience in Prompt Engineering, AI Model Development, Agile methodology, Python, SQL, and other industry standard coding languages, we’d like to meet you. + +What You’ll Do + + +Develop applications utilizing Generative AI +Build AI Predictive models +Collaborate with developers throughout full cycle software development process +Lead R&D initiatives to improve Ulula products, including business analysis and architecture +Produce clean, efficient code based on requirements and specifications +Create technical documentation for reference and reporting +Integrate software components and third-party applications +Lead initiatives in Continuous Integration/Delivery processes +Verify and deploy programs and systems + + +Your Preferred Profile + + +Proven experience as a ML Engineer working with Generative AI and Predictive Models +Experience with software design and development in a test-driven, continuous integration and deployment environment +Deep knowledge of coding languages, in particular, Python and associated ML libraries. +Quick learner with ability to learn new languages and technologies +Excellent communication and organizational skills +Attention to detail, resourcefulness and troubleshooting aptitude +BSc or Diploma in Computer Science, Engineering or a related field, or equivalent professional experience. + + +What Sets You Apart + + +Experience with current Model Prediction and Generative AI techniques +Experience with professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, building processes, testing and operations +Ability to take a project from scoping requirements through actual launch of the project +Experience in communicating with users, other technical teams and management to collect requirements, identify tasks, provide estimates and meet production deadlines + + +Company Perks And Culture + + +Work with a high achieving and multicultural team, in a fast-paced environment. +Interact with global companies +Competitive compensation, and generous benefits package including dental and eye care, virtual health and fitness subscription. +Opportunities for funded training programs and career growth. +Office is located in the heart of downtown Toronto and easily accessible by transit +Hybrid, on-site and remote work environment. +Applicants must be eligible to work in Canada and in the Eastern Time Zone. + + +Don’t check all the boxes? Apply anyway if you’re curious to learn more about Ulula. For more information about Ulula please visit our site: www.ulula.com + +Ulula is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation. +Show more ","
    + + + + + +
    +
    + About Ulula

    Based in Toronto with a globally distributed team, Ulula is a software and analytics platform that connects directly and anonymously with workers and communities around the world. Our platform obtains honest feedback and creates more transparent and responsible supply chains. Ulula is a social enterprise that aims to improve working conditions in mining, manufacturing and agribusiness by sourcing and processing accurate and timely insights directly from workers around the world. We have projects across the globe including India, Peru, South Africa and China with clients ranging from NGOs to government departments to household name brands.

    About The Role

    We are searching for a Machine Learning Engineer to join our growing technology team.. The successful candidate will be building and implementing applications utilizing the Generative AI capabilities of LLMs, developing AI models for predicting issues in the operations of clients and building MVPs.

    You will work with other Developers, the Product Manager and UX/UI Designers, QA/UAT throughout the software development life cycle. In this role, you will be a team player with a keen eye for detail and problem-solving skills. If you also have experience in Prompt Engineering, AI Model Development, Agile methodology, Python, SQL, and other industry standard coding languages, we’d like to meet you.

    What You’ll Do

    • Develop applications utilizing Generative AI
    • Build AI Predictive models
    • Collaborate with developers throughout full cycle software development process
    • Lead R&D initiatives to improve Ulula products, including business analysis and architecture
    • Produce clean, efficient code based on requirements and specifications
    • Create technical documentation for reference and reporting
    • Integrate software components and third-party applications
    • Lead initiatives in Continuous Integration/Delivery processes
    • Verify and deploy programs and systems

    Your Preferred Profile

    • Proven experience as a ML Engineer working with Generative AI and Predictive Models
    • Experience with software design and development in a test-driven, continuous integration and deployment environment
    • Deep knowledge of coding languages, in particular, Python and associated ML libraries.
    • Quick learner with ability to learn new languages and technologies
    • Excellent communication and organizational skills
    • Attention to detail, resourcefulness and troubleshooting aptitude
    • BSc or Diploma in Computer Science, Engineering or a related field, or equivalent professional experience.

    What Sets You Apart

    • Experience with current Model Prediction and Generative AI techniques
    • Experience with professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, building processes, testing and operations
    • Ability to take a project from scoping requirements through actual launch of the project
    • Experience in communicating with users, other technical teams and management to collect requirements, identify tasks, provide estimates and meet production deadlines

    Company Perks And Culture

    • Work with a high achieving and multicultural team, in a fast-paced environment.
    • Interact with global companies
    • Competitive compensation, and generous benefits package including dental and eye care, virtual health and fitness subscription.
    • Opportunities for funded training programs and career growth.
    • Office is located in the heart of downtown Toronto and easily accessible by transit
    • Hybrid, on-site and remote work environment.
    • Applicants must be eligible to work in Canada and in the Eastern Time Zone.

    Don’t check all the boxes? Apply anyway if you’re curious to learn more about Ulula. For more information about Ulula please visit our site: www.ulula.com

    Ulula is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-30,[] +3994000986,https://ca.linkedin.com/jobs/view/data-scientist-at-imperva-3994000986?position=14&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=dzfPRxO3f46d4NjRS3gvAw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Imperva,"Vancouver, British Columbia, Canada","Data Scientist + +About Imperva + +Imperva is an analyst-recognized, cybersecurity leader—championing the fight to secure data and applications wherever they reside. Once deployed, our solutions proactively identify, evaluate, and eliminate current and emerging threats, so you never have to choose between innovating for your customers and protecting what matters most. Imperva—Protect the pulse of your business. + +We are looking for a talented, experienced Data Scientist who is ever curious about data. We expect this team member to be able to show initiative and creatively find problems as well as solve them. Much of the work of this team is analyzing detection mechanisms in production and then figuring out how to make advances in bot detection, followed by executing on that roadmap. + +Hybrid – Vancouver, Canada + +What You Can Expect In This Role + +Analyze false positives for detection mechanisms to hone the product + +Identify and isolate new advanced bot behaviors + +Participate in the team’s agile ceremonies: daily scrum, weekly backlog grooming, sprint planning, and retrospectives. + +Demo and share your work with stakeholders + +Collaborate with product managers, data scientists and software engineers to understand business objectives and customer pain points. + +Engage with customers and frontline teams to better understand use cases and pain points + +Spend time analyzing web traffic data to identify and isolate new advanced bot behaviors + +Design and implement new bot detection methods + +Key Areas Of Responsibility + + +Data curiosity. Many of the problems we face reduce to data problems. Must be proficient with analysis and processing of very large datasets +Determination to solve problems through technical and organizational hurdles. +Interest in threat detection/identification in an arms race situation. Attackers are constantly trying to bypass our systems. We need to patch vulnerabilities in our existing detection methods that attackers are exploiting as well as come up with new methods and techniques. +Customer focus : this is both a product team as well as a research team. We need to be willing and able to work with the codebase and provide value to our customers. +Ability to execute . What we want is demonstrated ability to get things done and work through impediments when they arise. +Staying informed about developments in Data Science, statistics and related fields. The ideal candidate can read and implement the ideas of research papers. + + +Minimum Requirements + + +Advanced degree in Data Science, Data Analysis, Statistics, Computer Science, or equivalent experience +Extensive experience performing data analysis +Demonstrated experience with software experience fundamentals: command line, version control, pull request review, software maintenance, etc. +Proficiency in analytical programming in Python, R or Julia (Python is preferred) +In-depth knowledge of data processing and analysis libraries such as Pandas or R’s tidyverse +Data visualization skills +In-depth, experienced understanding of SQL +Familiar with machine learning principles and techniques +Working knowledge of data structures and algorithms. +Ability to communicate insights in layman’s terms to stakeholders to inform product decisions + + +Advantage + + +Cyber security or web analytics + + +The anticipated annual base salary range for this position is CAD$106,000 – $130,000. The salary offered will be determined based on the candidate’s experience, knowledge, skills, other qualifications, and location. + +Our Company + +Imperva is an analyst-recognized, cybersecurity leader—championing the fight to secure data and applications wherever they reside. Once deployed, our solutions proactively identify, evaluate, and eliminate current and emerging threats, so you never have to choose between innovating for your customers and protecting what matters most. Imperva—Protect the pulse of your business. Learn more: www.imperva.com , our blog , on Twitter . + +Rewards + +Imperva offers a competitive compensation package that includes base salary, medical, flexible time off, salary continuance for adoption or birth of a child and more. It’s an exciting time to work in the security space. Check out our products and services at www.imperva.com and career opportunities at www.imperva.com/careers + +Legal Notice + +Imperva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ancestry, pregnancy, age, sexual orientation, gender identity, marital status, protected veteran status, medical condition or disability, or any other characteristic protected by law. + +LI#Hybrid + +LI#VL1 +Show more ","
    + + + + + +
    +
    + Data Scientist

    About Imperva

    Imperva is an analyst-recognized, cybersecurity leader—championing the fight to secure data and applications wherever they reside. Once deployed, our solutions proactively identify, evaluate, and eliminate current and emerging threats, so you never have to choose between innovating for your customers and protecting what matters most. Imperva—Protect the pulse of your business.

    We are looking for a talented, experienced Data Scientist who is ever curious about data. We expect this team member to be able to show initiative and creatively find problems as well as solve them. Much of the work of this team is analyzing detection mechanisms in production and then figuring out how to make advances in bot detection, followed by executing on that roadmap.

    Hybrid – Vancouver, Canada

    What You Can Expect In This Role

    Analyze false positives for detection mechanisms to hone the product

    Identify and isolate new advanced bot behaviors

    Participate in the team’s agile ceremonies: daily scrum, weekly backlog grooming, sprint planning, and retrospectives.

    Demo and share your work with stakeholders

    Collaborate with product managers, data scientists and software engineers to understand business objectives and customer pain points.

    Engage with customers and frontline teams to better understand use cases and pain points

    Spend time analyzing web traffic data to identify and isolate new advanced bot behaviors

    Design and implement new bot detection methods

    Key Areas Of Responsibility

    • Data curiosity. Many of the problems we face reduce to data problems. Must be proficient with analysis and processing of very large datasets
    • Determination to solve problems through technical and organizational hurdles.
    • Interest in threat detection/identification in an arms race situation. Attackers are constantly trying to bypass our systems. We need to patch vulnerabilities in our existing detection methods that attackers are exploiting as well as come up with new methods and techniques.
    • Customer focus : this is both a product team as well as a research team. We need to be willing and able to work with the codebase and provide value to our customers.
    • Ability to execute . What we want is demonstrated ability to get things done and work through impediments when they arise.
    • Staying informed about developments in Data Science, statistics and related fields. The ideal candidate can read and implement the ideas of research papers.

    Minimum Requirements

    • Advanced degree in Data Science, Data Analysis, Statistics, Computer Science, or equivalent experience
    • Extensive experience performing data analysis
    • Demonstrated experience with software experience fundamentals: command line, version control, pull request review, software maintenance, etc.
    • Proficiency in analytical programming in Python, R or Julia (Python is preferred)
    • In-depth knowledge of data processing and analysis libraries such as Pandas or R’s tidyverse
    • Data visualization skills
    • In-depth, experienced understanding of SQL
    • Familiar with machine learning principles and techniques
    • Working knowledge of data structures and algorithms.
    • Ability to communicate insights in layman’s terms to stakeholders to inform product decisions

    Advantage

    • Cyber security or web analytics

    The anticipated annual base salary range for this position is CAD$106,000 – $130,000. The salary offered will be determined based on the candidate’s experience, knowledge, skills, other qualifications, and location.

    Our Company

    Imperva is an analyst-recognized, cybersecurity leader—championing the fight to secure data and applications wherever they reside. Once deployed, our solutions proactively identify, evaluate, and eliminate current and emerging threats, so you never have to choose between innovating for your customers and protecting what matters most. Imperva—Protect the pulse of your business. Learn more: www.imperva.com , our blog , on Twitter .

    Rewards

    Imperva offers a competitive compensation package that includes base salary, medical, flexible time off, salary continuance for adoption or birth of a child and more. It’s an exciting time to work in the security space. Check out our products and services at www.imperva.com and career opportunities at www.imperva.com/careers

    Legal Notice

    Imperva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ancestry, pregnancy, age, sexual orientation, gender identity, marital status, protected veteran status, medical condition or disability, or any other characteristic protected by law.

    LI#Hybrid

    LI#VL1 +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3987386750,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-lyft-3987386750?position=16&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=EDBU9bqrD3RDO7H9R%2FxHyw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Lyft,"Toronto, Ontario, Canada","At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. + +Data and Machine Learning are at the heart of Lyft’s products and decision-making. As a member of the Data Science and Machine Learning team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Machine learning engineers build systems that make our products predictive, personalized, and adaptive. We’re looking for passionate, driven engineers to take on some of the most interesting and impactful problems in ridesharing. + +As a machine learning engineer, you will be developing and launching the algorithms that power the platform’s core services. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, economics, forecasting, personalization, and adaptive control. We are hiring motivated experts in each of these fields. We’re looking for someone who is passionate about solving problems with data, building reliable ML systems, and is excited about working in a fast-paced, innovative, and collegial environment. + +Responsibilities: + + +Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact +Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems +Develop statistical, machine learning, or optimization models +Write production quality code to launch machine learning models at scale +Evaluate machine learning systems against business goal + + +Experience: + + +B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience +2+ years of Machine Learning experience +Passion for building impactful machine learning models leveraging expertise in one or multiple fields. +Proficiency in Python, or other programming language +Excellent communication skills and fluency in English +Strong understanding of Machine Learning methodologies, including supervised learning, forecasting, and recommendation systems. + + +Benefits: + + +Extended health and dental coverage options, along with life insurance and disability benefits +Mental health benefits +Family building benefits +Access to a Health Care Savings Account +In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service +4 Floating Holidays each calendar year prorated based off of date of hire +10 paid sick days per year regardless of province +18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible + + +Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request. + +This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. +Show more ","
    + + + + + +
    +
    + At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

    Data and Machine Learning are at the heart of Lyft’s products and decision-making. As a member of the Data Science and Machine Learning team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Machine learning engineers build systems that make our products predictive, personalized, and adaptive. We’re looking for passionate, driven engineers to take on some of the most interesting and impactful problems in ridesharing.

    As a machine learning engineer, you will be developing and launching the algorithms that power the platform’s core services. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, economics, forecasting, personalization, and adaptive control. We are hiring motivated experts in each of these fields. We’re looking for someone who is passionate about solving problems with data, building reliable ML systems, and is excited about working in a fast-paced, innovative, and collegial environment.

    Responsibilities:

    • Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact
    • Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems
    • Develop statistical, machine learning, or optimization models
    • Write production quality code to launch machine learning models at scale
    • Evaluate machine learning systems against business goal

    Experience:

    • B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
    • 2+ years of Machine Learning experience
    • Passion for building impactful machine learning models leveraging expertise in one or multiple fields.
    • Proficiency in Python, or other programming language
    • Excellent communication skills and fluency in English
    • Strong understanding of Machine Learning methodologies, including supervised learning, forecasting, and recommendation systems.

    Benefits:

    • Extended health and dental coverage options, along with life insurance and disability benefits
    • Mental health benefits
    • Family building benefits
    • Access to a Health Care Savings Account
    • In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
    • 4 Floating Holidays each calendar year prorated based off of date of hire
    • 10 paid sick days per year regardless of province
    • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

    Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.

    This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3996848608,https://ca.linkedin.com/jobs/view/senior-data-scientist-ai-at-asana-3996848608?position=18&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=NgTrgOfG91onu6Qmqo4zVQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Data Scientist, AI",Asana,"Vancouver, British Columbia, Canada","Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. + +The Data Science team at Asana is instrumental in enabling Asana's mission by instilling a data-influenced approach in building the product or business strategy, defining and measuring success metrics, learning and iterating to deliver value to our users. Data Scientists closely partner with Product, Business, Design, Engineering, and also other members of the Data team. We leverage experimentation, statistical modeling and machine learning techniques, causal inference, and data storytelling to deepen our understanding of Asana customers and make optimal decisions to drive more business value. + +We are hiring a full stack data scientist for the AI org. The AI org has a mission to transform Asana by building innovative AI experiences that dramatically improve customers’ lives at work. We empower teams to pioneer the future of work through rapid prototyping and exploration, deliver amazing AI-first experiences that help customers achieve their missions and business objectives, and accelerate Asana’s ability to deliver AI experience through frameworks and tooling. + +This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. + +What You’ll Achieve + + +Thinking deeply about how to measure and track success for a set of products with a complex and nuanced customer value +Performing and evangelizing strategic analysis to help inform the future of product direction for the AI org +Developing ML models to align with AI org strategy and drive business impact +Design and analyze experiments and causal analysis to ship impactful product changes that help customers quickly find what they need on Asana +Design and develop new datasets and experimentation metrics in our data lake to improve decision-making and velocity + + +About You + + +Bachelor Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent experience +5+ years of experience in applying data science techniques to drive technical product development and decision-making +Strong technical background in computer science, statistics, math, information science, or another quantitative field +Strong ability in managing stakeholders, communicating complex concepts to diverse audiences, and crafting compelling stories +Experience in scoping and planning projects with stakeholders, and driving technical execution +Fluency in at least one data processing and programming language (e.g., Python, Scala), relational data modeling, SQL, and familiarity with distributed data processing systems (e.g., Spark, Redshift) +Experience in machine learning (preferred experience in recommendation, ranking, graph modeling…) statistical methods and experimental design and analysis + + +At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. + +What We’ll Offer + +Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. + +For this role, the estimated base salary range is between $176,000 - $224,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. + +In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. + +We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: + + +Mental health, wellness & fitness benefits +Career coaching & support +Inclusive family building benefits +Long-term savings or retirement plans +In-office culinary options to cater to your dietary preferences + + +These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. + +About Us + +Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture . With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. + +We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Asana upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. + + +Show more ","
    + + + + + +
    +
    + Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.

    The Data Science team at Asana is instrumental in enabling Asana's mission by instilling a data-influenced approach in building the product or business strategy, defining and measuring success metrics, learning and iterating to deliver value to our users. Data Scientists closely partner with Product, Business, Design, Engineering, and also other members of the Data team. We leverage experimentation, statistical modeling and machine learning techniques, causal inference, and data storytelling to deepen our understanding of Asana customers and make optimal decisions to drive more business value.

    We are hiring a full stack data scientist for the AI org. The AI org has a mission to transform Asana by building innovative AI experiences that dramatically improve customers’ lives at work. We empower teams to pioneer the future of work through rapid prototyping and exploration, deliver amazing AI-first experiences that help customers achieve their missions and business objectives, and accelerate Asana’s ability to deliver AI experience through frameworks and tooling.

    This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

    What You’ll Achieve

    • Thinking deeply about how to measure and track success for a set of products with a complex and nuanced customer value
    • Performing and evangelizing strategic analysis to help inform the future of product direction for the AI org
    • Developing ML models to align with AI org strategy and drive business impact
    • Design and analyze experiments and causal analysis to ship impactful product changes that help customers quickly find what they need on Asana
    • Design and develop new datasets and experimentation metrics in our data lake to improve decision-making and velocity

    About You

    • Bachelor Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent experience
    • 5+ years of experience in applying data science techniques to drive technical product development and decision-making
    • Strong technical background in computer science, statistics, math, information science, or another quantitative field
    • Strong ability in managing stakeholders, communicating complex concepts to diverse audiences, and crafting compelling stories
    • Experience in scoping and planning projects with stakeholders, and driving technical execution
    • Fluency in at least one data processing and programming language (e.g., Python, Scala), relational data modeling, SQL, and familiarity with distributed data processing systems (e.g., Spark, Redshift)
    • Experience in machine learning (preferred experience in recommendation, ranking, graph modeling…) statistical methods and experimental design and analysis

    At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

    What We’ll Offer

    Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

    For this role, the estimated base salary range is between $176,000 - $224,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

    In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

    We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

    • Mental health, wellness & fitness benefits
    • Career coaching & support
    • Inclusive family building benefits
    • Long-term savings or retirement plans
    • In-office culinary options to cater to your dietary preferences

    These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

    About Us

    Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture . With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.

    We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Asana upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-10,[] +3998698212,https://ca.linkedin.com/jobs/view/data-scientist-demand-forecasting-at-tiger-analytics-3998698212?position=19&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=3vGieC4pFuYjyVMBGI4zBA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Demand Forecasting,Tiger Analytics,"Toronto, Ontario, Canada","Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. + +We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space. + +We are looking for a Data Scientist with a good blend of data analytics background, practical experience in Demand Forecasting and allocating resources within supply chains, and strong coding capabilities to add to our team. + +Key Responsibilities: + + +Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG +Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocation +Develop and implement Demand forecasting models to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain +Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions +Stay abreast of industry trends and best practices in data science, Demand forecasting, and supply chain management, and leverage this knowledge to drive innovation within the organization +Collaborate, coach, and learn with a growing team of experienced Data Scientists + + + +Requirements + + +Proven experience 4+ years working as a Data Scientist, with a focus on Demand Forecasting and inventory allocation +Bachelor's or Master's degree in Computer Science, Statistics, Operations Research, or a related field +Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts +Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries +Ability to apply various analytical models to business use cases +Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders + + + +Benefits + +This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. +Show more ","
    + + + + + +
    +
    + Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

    We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

    We are looking for a Data Scientist with a good blend of data analytics background, practical experience in Demand Forecasting and allocating resources within supply chains, and strong coding capabilities to add to our team.

    Key Responsibilities:

    • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG
    • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocation
    • Develop and implement Demand forecasting models to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain
    • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
    • Stay abreast of industry trends and best practices in data science, Demand forecasting, and supply chain management, and leverage this knowledge to drive innovation within the organization
    • Collaborate, coach, and learn with a growing team of experienced Data Scientists


    Requirements

    • Proven experience 4+ years working as a Data Scientist, with a focus on Demand Forecasting and inventory allocation
    • Bachelor's or Master's degree in Computer Science, Statistics, Operations Research, or a related field
    • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts
    • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries
    • Ability to apply various analytical models to business use cases
    • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders


    Benefits

    This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +3991714216,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-career-renew-3991714216?position=21&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=gxp8BEjLw9kZk2P6U%2FtXHQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Career Renew,Canada,"Career Renew is recruiting for one of its clients a Machine Learning Engineer - candidates need to be based in US, Canada or Europe. + +We are an early-stage startup that is on a mission to democratize the future of AI. Through our first product we provide universal access to public web data, and a system where ordinary people can participate in the process - and share in the benefits. + +This project is for those who lead with initiative, seek to challenge themselves and thrive on curiosity. + +We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet. + +The Role. + +We are looking for a Machine Learning Engineer who is skilled and has significant experience in developing machine learning models. You will join a small, innovative team and lead efforts to advance our capabilities, drive model development, and support our vision for a future where we are transformative in the evolution of the internet. + +What You'll Be Doing. + + +Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text generation, summarization, translation, and sentiment analysis +Designing and implementing pipelines for processing and analyzing large text datasets +Analyzing and interpreting complex time series data to provide actionable insights and solutions +Designing, implementing, and maintaining data-driven models and algorithms +Collaborating with cross-functional teams to understand data needs and deliver timely solutions +Ensuring data quality and integrity throughout all processes +Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data +Continuously researching and implementing best practices in data science and machine learning +Contributing to the development and improvement of internal data processing tools and infrastructure + + + +Requirements + +Bachelor's, Master's, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field. + +A minimum of 3 years of work or research experience dealing with large datasets. + +Strong coding skills in Python + +RAG experience + +Experience with ablation tests, knowledge graphs, somatic trees (major plus) +Show more ","
    + + + + + +
    +
    + Career Renew is recruiting for one of its clients a Machine Learning Engineer - candidates need to be based in US, Canada or Europe.

    We are an early-stage startup that is on a mission to democratize the future of AI. Through our first product we provide universal access to public web data, and a system where ordinary people can participate in the process - and share in the benefits.

    This project is for those who lead with initiative, seek to challenge themselves and thrive on curiosity.

    We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.

    The Role.

    We are looking for a Machine Learning Engineer who is skilled and has significant experience in developing machine learning models. You will join a small, innovative team and lead efforts to advance our capabilities, drive model development, and support our vision for a future where we are transformative in the evolution of the internet.

    What You'll Be Doing.

    • Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text generation, summarization, translation, and sentiment analysis
    • Designing and implementing pipelines for processing and analyzing large text datasets
    • Analyzing and interpreting complex time series data to provide actionable insights and solutions
    • Designing, implementing, and maintaining data-driven models and algorithms
    • Collaborating with cross-functional teams to understand data needs and deliver timely solutions
    • Ensuring data quality and integrity throughout all processes
    • Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data
    • Continuously researching and implementing best practices in data science and machine learning
    • Contributing to the development and improvement of internal data processing tools and infrastructure


    Requirements

    Bachelor's, Master's, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field.

    A minimum of 3 years of work or research experience dealing with large datasets.

    Strong coding skills in Python

    RAG experience

    Experience with ablation tests, knowledge graphs, somatic trees (major plus) +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-02,[] +4008615318,https://ca.linkedin.com/jobs/view/data-science-specialist-at-tao-digital-solutions-4008615318?position=22&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=GYbZdd8oVdgwTgXpGMS%2B6g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Specialist,TAO Digital Solutions,Canada,"Tittle- Data Scientist + +Location- Anywhere in Canada + +Duration- Contract + + + + +The Risk Operations Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at Client. The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams to design solutions for underwriting, account and/or portfolio management, loan processing enhancement, fraud detection and prevention, and loss mitigation, etc. These tasks involve developing complex business rules to researching and applying state of the art machine learning modeling methodologies to solve complex business problems. This role is very rewarding as your work will have a direct and immediate impact on the business’ profitability. + + + + +What You’ll Do + +Develop, implement, and continuously improve machine learning models and strategies that support various credit, risk, and operational procedures including but not limited to underwriting, account and/or portfolio management, loan processing enhancement, fraud detection and prevention, and loss mitigation, etc +Proactively identify opportunities to apply advanced machine learning approaches (e.g., NLP, Image +Recognition, Graph Mining, etc.) to solve complex business problems +Explore and leverage in-house, external, and other open-source machine learning software/algorithms +Collaborate with Model Risk Management team to demonstrate models are developed with high level rigor that satisfy Model Risk Management and Governance requirements +Work closely with the Product and Engineering teams for model deployment +Perform ongoing monitoring of the models through the construction of dashboards and KPI tracking +Present model performance and insights to Credit, Risk, and Business Unit leaders + +What You’ll Need + +Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or quantitative field required. Master’s degree preferred. +2-3 years of relevant work experience with building and implementing machine learning models +Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression, classification, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks, deep learning and its various applications. Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies. +Strong programming skills in Python and machine learning libraries (e.g., sklearn, lightgbm, xgboost, pytorch, tensorflow, keras, etc.) +Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc. +Effective communication skills and ability to explain complex models in simple terms + +Nice To Have + +Experience in a financial organization +Experience with model documentation and delivering effective verbal and written communication +Experience in working closely with Product, Engineering, and Model Risk Management teams +Experience with AWS or GCP +Solid knowledge of leveraging graph neural networks or GenAI to solve some practical problems +Experience with graph databases + +Show more ","
    + + + + + +
    +
    +

    Tittle- Data Scientist

    Location- Anywhere in Canada

    Duration- Contract


    The Risk Operations Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at Client. The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams to design solutions for underwriting, account and/or portfolio management, loan processing enhancement, fraud detection and prevention, and loss mitigation, etc. These tasks involve developing complex business rules to researching and applying state of the art machine learning modeling methodologies to solve complex business problems. This role is very rewarding as your work will have a direct and immediate impact on the business’ profitability.


    What You’ll Do

    • Develop, implement, and continuously improve machine learning models and strategies that support various credit, risk, and operational procedures including but not limited to underwriting, account and/or portfolio management, loan processing enhancement, fraud detection and prevention, and loss mitigation, etc
    • Proactively identify opportunities to apply advanced machine learning approaches (e.g., NLP, Image
    • Recognition, Graph Mining, etc.) to solve complex business problems
    • Explore and leverage in-house, external, and other open-source machine learning software/algorithms
    • Collaborate with Model Risk Management team to demonstrate models are developed with high level rigor that satisfy Model Risk Management and Governance requirements
    • Work closely with the Product and Engineering teams for model deployment
    • Perform ongoing monitoring of the models through the construction of dashboards and KPI tracking
    • Present model performance and insights to Credit, Risk, and Business Unit leaders

    What You’ll Need

    • Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or quantitative field required. Master’s degree preferred.
    • 2-3 years of relevant work experience with building and implementing machine learning models
    • Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression, classification, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks, deep learning and its various applications. Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies.
    • Strong programming skills in Python and machine learning libraries (e.g., sklearn, lightgbm, xgboost, pytorch, tensorflow, keras, etc.)
    • Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc.
    • Effective communication skills and ability to explain complex models in simple terms

    Nice To Have

    • Experience in a financial organization
    • Experience with model documentation and delivering effective verbal and written communication
    • Experience in working closely with Product, Engineering, and Model Risk Management teams
    • Experience with AWS or GCP
    • Solid knowledge of leveraging graph neural networks or GenAI to solve some practical problems
    • Experience with graph databases

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4007555672,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-bazaarvoice-4007555672?position=23&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=AOIdOex%2FzH6mh%2F1%2Fl9UlbA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Bazaarvoice,Greater Montreal Metropolitan Area,"About Bazaarvoice + +At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. + +The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. + +Our brand promise : closing the gap between brands and consumers. + +Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. + +It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! + +We’re searching for an experienced Machine Learning Engineer who values mastery, authenticity, and positivity to help build and grow our product. As an engineer, your strong foundation in productionizing machine learning models will be essential in making long lasting improvements to our product. If you are a highly technical, hands-on, and mission-driven engineer, who has a passion for solving problems in the area of ML based recommender models, search and e-commerce optimization then this is the role for you. This is a full-time position. We are centrally located in Edmonton, but remote applications will also be considered. + +How You Will Make An Impact + + +Research, design and prototype intelligent systems with the aim of enhancing online shopper experience. +Assist in research prototypes and develop them into fully-fledged AI software that are ready to be delivered to our clients. +Participate in active maintenance of models and ML-pipelines +Maintain and improve legacy models and ml pipelines suggesting and implementing changes as appropriate +Participate in code reviews ensuring that released code maintains our standards of quality and engineering excellence +Keep up-to-date with the latest papers in artificial intelligence and machine learning to propose solutions for real problems in e-commerce, particularly as it pertains to optimizations in productionalization +MLops: Build and help maintain infrastructure to support the evolution of our shopper interaction toolset. +Mentor other engineers and share relevant knowledge. +Troubleshoot, test, and debug to your heart’s content. +Being able to identify key metrics and experience building and responding to automated monitoring systems. +Ad-hoc problem solving based on client needs. Our white glove service means we often have to implement solutions to client specific problems in robust and well designed ways + + + +About You + + +At least 2 years of real-world experience implementing Machine Learning software +At least 3 years of experience (in total) implementing production level software +Proficient in Python and/or C/C++, with an interest in learning new languages +BSc (MSc or PhD preferred) in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, Physics, or a related discipline, with (at minimum) graduate-level courses in machine learning, or equivalent practical experience. +Strong research experience in machine learning, preferably in one or more of the following (in no particular order): reinforcement learning, natural language processing, LLMs, recommendation and/or ranking systems, deep generative models, representation learning, AI interpretability, domain generalization, meta-learning, computer vision, deep neural network architectures. +Proficient in deep learning frameworks like Tensorflow, PyTorch, etc. and scientific computing packages like NumPy. Able to implement an algorithm as described in an academic paper using these frameworks in quality code. +Strong computer science background, with experience in object-oriented programming, systems design, data structures and algorithms. +Familiarity with source control (Git) and Unix systems, including shell scripting. +Good intuition for applying AI theory to make business-oriented products with minimal guidance. +Communicate to introduce honesty and clarity (avoiding buzzwords and jargon) to experts in multiple disciplines. Demonstrate a mature understanding of the current possibilities and limitations of AI research. +Curious, constantly looking for better ways to build things and excited to learn about emerging technologies. + + + +Bonus Points + + +Online advertising and/or marketing analytics, behavioral targeting and/or web analytics and a/b testing +Working in an Agile software development environment. +Using cloud solutions, preferably AWS. +Distributed and/or parallel programming. +An active GitHub repository. +Experience with data lake and data lakehouse +Experience with ETL workloads and data pipelines +Experience with SQL, Terraform, Python packages (Pandas, NumPy, PySpark), ML framework (TensorFlow/Keras, PyTorch, Scikit-learn, etc), Databricks, Airflow, ML pipeline frameworks (Flyte, MlFlow, Ray, TFX) + + + +Why join Bazaarvoice? + +Customer is key + +We see our own success through our customers’ outcomes. + +We approach every situation with a customer first mindset. + +Transparency & Integrity Builds Trust + +We believe in the power of authentic feedback because it’s in our DNA. + +We do the right thing when faced with hard choices. Transparency and trust accelerate our collective performance. + +Passionate Pursuit of Performance + +Our energy is contagious, because we hire for passion, drive & curiosity. + +We love what we do, and because we’re laser focused on our mission. + +Innovation over Imitation + +We seek to innovate as we are not content with the status quo. + +We embrace agility and experimentation as an advantage. + +Stronger Together + +We bring our whole selves to the mission and find value in diverse perspectives. + +We champion what’s best for Bazaarvoice before individuals or teams. + +As a stronger company we build a stronger community. + +Commitment to diversity and inclusion + +Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers. + + +Show more ","
    + + + + + +
    +
    + About Bazaarvoice

    At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products.

    The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty.

    Our brand promise : closing the gap between brands and consumers.

    Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia.

    It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK!

    We’re searching for an experienced Machine Learning Engineer who values mastery, authenticity, and positivity to help build and grow our product. As an engineer, your strong foundation in productionizing machine learning models will be essential in making long lasting improvements to our product. If you are a highly technical, hands-on, and mission-driven engineer, who has a passion for solving problems in the area of ML based recommender models, search and e-commerce optimization then this is the role for you. This is a full-time position. We are centrally located in Edmonton, but remote applications will also be considered.

    How You Will Make An Impact

    • Research, design and prototype intelligent systems with the aim of enhancing online shopper experience.
    • Assist in research prototypes and develop them into fully-fledged AI software that are ready to be delivered to our clients.
    • Participate in active maintenance of models and ML-pipelines
    • Maintain and improve legacy models and ml pipelines suggesting and implementing changes as appropriate
    • Participate in code reviews ensuring that released code maintains our standards of quality and engineering excellence
    • Keep up-to-date with the latest papers in artificial intelligence and machine learning to propose solutions for real problems in e-commerce, particularly as it pertains to optimizations in productionalization
    • MLops: Build and help maintain infrastructure to support the evolution of our shopper interaction toolset.
    • Mentor other engineers and share relevant knowledge.
    • Troubleshoot, test, and debug to your heart’s content.
    • Being able to identify key metrics and experience building and responding to automated monitoring systems.
    • Ad-hoc problem solving based on client needs. Our white glove service means we often have to implement solutions to client specific problems in robust and well designed ways


    About You

    • At least 2 years of real-world experience implementing Machine Learning software
    • At least 3 years of experience (in total) implementing production level software
    • Proficient in Python and/or C/C++, with an interest in learning new languages
    • BSc (MSc or PhD preferred) in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, Physics, or a related discipline, with (at minimum) graduate-level courses in machine learning, or equivalent practical experience.
    • Strong research experience in machine learning, preferably in one or more of the following (in no particular order): reinforcement learning, natural language processing, LLMs, recommendation and/or ranking systems, deep generative models, representation learning, AI interpretability, domain generalization, meta-learning, computer vision, deep neural network architectures.
    • Proficient in deep learning frameworks like Tensorflow, PyTorch, etc. and scientific computing packages like NumPy. Able to implement an algorithm as described in an academic paper using these frameworks in quality code.
    • Strong computer science background, with experience in object-oriented programming, systems design, data structures and algorithms.
    • Familiarity with source control (Git) and Unix systems, including shell scripting.
    • Good intuition for applying AI theory to make business-oriented products with minimal guidance.
    • Communicate to introduce honesty and clarity (avoiding buzzwords and jargon) to experts in multiple disciplines. Demonstrate a mature understanding of the current possibilities and limitations of AI research.
    • Curious, constantly looking for better ways to build things and excited to learn about emerging technologies.


    Bonus Points

    • Online advertising and/or marketing analytics, behavioral targeting and/or web analytics and a/b testing
    • Working in an Agile software development environment.
    • Using cloud solutions, preferably AWS.
    • Distributed and/or parallel programming.
    • An active GitHub repository.
    • Experience with data lake and data lakehouse
    • Experience with ETL workloads and data pipelines
    • Experience with SQL, Terraform, Python packages (Pandas, NumPy, PySpark), ML framework (TensorFlow/Keras, PyTorch, Scikit-learn, etc), Databricks, Airflow, ML pipeline frameworks (Flyte, MlFlow, Ray, TFX)


    Why join Bazaarvoice?

    Customer is key

    We see our own success through our customers’ outcomes.

    We approach every situation with a customer first mindset.

    Transparency & Integrity Builds Trust

    We believe in the power of authentic feedback because it’s in our DNA.

    We do the right thing when faced with hard choices. Transparency and trust accelerate our collective performance.

    Passionate Pursuit of Performance

    Our energy is contagious, because we hire for passion, drive & curiosity.

    We love what we do, and because we’re laser focused on our mission.

    Innovation over Imitation

    We seek to innovate as we are not content with the status quo.

    We embrace agility and experimentation as an advantage.

    Stronger Together

    We bring our whole selves to the mission and find value in diverse perspectives.

    We champion what’s best for Bazaarvoice before individuals or teams.

    As a stronger company we build a stronger community.

    Commitment to diversity and inclusion

    Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-22,[] +3921391867,https://ca.linkedin.com/jobs/view/data-science-decisions-airports-at-lyft-3921391867?position=24&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=In%2BKsqAyC5FySlEplAvP0g%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Science, Decisions - Airports",Lyft,"Toronto, Ontario, Canada","At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. + +Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. + +Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experiences and have unique marketplaces with special considerations and dynamics. As a Data Scientist on the Airports team, you will collaborate with engineering, product, design, and operations to think critically about the current airport experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems at airports such as: + + +How do we efficiently match drivers and riders at the airport to reduce wait times? +Are we able to forecast ride demand and implement driver guidance to ensure riders can rely on Lyft for an airport ride at all times of the day? +How can we develop a technical model to predict ride wait times and communicate this to drivers? +What is the most helpful way to display ride information to drivers so they can make informed decisions? + + +Responsibilities + + +Leverage data and analytic frameworks to identify opportunities for growth and efficiency +Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action +Construct and fit statistical, machine learning, or optimization models +Design and analyze online experiments; communicate results and act on launch decisions +Develop analytical frameworks to monitor business and product performance +Establish metrics that measure the health of our products, the business, as well as the driver experience + + +Experience + + +Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience +3+ years of industry experience in a data science, analytics, or management consulting role. +End-to-end experience with data, including querying, aggregation, analysis, and visualization +Ability to manage, influence, negotiate, and inspire others in a fast-moving environment +Proficiency in SQL and Python +Strong oral and written communication skills, and ability to collaborate with cross-functional partners + + +Benefits + + +Extended health and dental coverage options, along with life insurance and disability benefits +Mental health benefits +Family building benefits +Access to a Health Care Savings Account +In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service +4 Floating Holidays each calendar year prorated based off of date of hire +10 paid sick days per year regardless of province +18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible + + +Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request. + +This role will be in-office on a hybrid schedule following the establishment of a Lyft office in Toronto — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +Show more ","
    + + + + + +
    +
    + At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

    Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features.

    Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experiences and have unique marketplaces with special considerations and dynamics. As a Data Scientist on the Airports team, you will collaborate with engineering, product, design, and operations to think critically about the current airport experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems at airports such as:

    • How do we efficiently match drivers and riders at the airport to reduce wait times?
    • Are we able to forecast ride demand and implement driver guidance to ensure riders can rely on Lyft for an airport ride at all times of the day?
    • How can we develop a technical model to predict ride wait times and communicate this to drivers?
    • What is the most helpful way to display ride information to drivers so they can make informed decisions?

    Responsibilities

    • Leverage data and analytic frameworks to identify opportunities for growth and efficiency
    • Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
    • Construct and fit statistical, machine learning, or optimization models
    • Design and analyze online experiments; communicate results and act on launch decisions
    • Develop analytical frameworks to monitor business and product performance
    • Establish metrics that measure the health of our products, the business, as well as the driver experience

    Experience

    • Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
    • 3+ years of industry experience in a data science, analytics, or management consulting role.
    • End-to-end experience with data, including querying, aggregation, analysis, and visualization
    • Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
    • Proficiency in SQL and Python
    • Strong oral and written communication skills, and ability to collaborate with cross-functional partners

    Benefits

    • Extended health and dental coverage options, along with life insurance and disability benefits
    • Mental health benefits
    • Family building benefits
    • Access to a Health Care Savings Account
    • In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
    • 4 Floating Holidays each calendar year prorated based off of date of hire
    • 10 paid sick days per year regardless of province
    • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

    Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.

    This role will be in-office on a hybrid schedule following the establishment of a Lyft office in Toronto — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +3915111131,https://ca.linkedin.com/jobs/view/data-scientist-at-stripe-3915111131?position=27&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=w0r0BB%2F7J1jWnhERvi%2FSgA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Stripe,"Toronto, Ontario, Canada","About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.## What you'll do + +We’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. + +Who you are + +We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +2-8+ years of data science/quantitative modeling experience +Proficiency in SQL and a computing language such as Python or R +Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation +Experience in working with cross-functional teams to deliver results +Ability to communicate results clearly and a focus on driving impact +A demonstrated ability to manage and deliver on multiple projects with a high attention to detail +Solid business acumen and experience in synthesizing complex analyses into actionable recommendations +A builder's mindset with a willingness to question assumptions and conventional wisdom + + + +Preferred Qualifications + + +Experience deploying models in production and adjusting model thresholds to improve performance +Experience designing, running, and analyzing complex experiments or leveraging causal inference designs +Experience with distributed tools such as Spark, Hadoop, etc. +A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research) + + + +Hybrid work at Stripe + +This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. + +Pay and benefits + +The annual salary range for this role in the primary location is C$175,000 - C$262,600. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. + +Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +Show more ","
    + + + + + +
    +
    + About Stripe

    Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

    About The Team

    Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.## What you'll do

    We’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.

    Who you are

    We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

    Minimum Requirements

    • 2-8+ years of data science/quantitative modeling experience
    • Proficiency in SQL and a computing language such as Python or R
    • Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
    • Experience in working with cross-functional teams to deliver results
    • Ability to communicate results clearly and a focus on driving impact
    • A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
    • Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
    • A builder's mindset with a willingness to question assumptions and conventional wisdom


    Preferred Qualifications

    • Experience deploying models in production and adjusting model thresholds to improve performance
    • Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
    • Experience with distributed tools such as Spark, Hadoop, etc.
    • A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)


    Hybrid work at Stripe

    This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

    Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

    A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

    Pay and benefits

    The annual salary range for this role in the primary location is C$175,000 - C$262,600. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

    Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +4005941393,https://ca.linkedin.com/jobs/view/data-scientist-at-rbc-4005941393?position=28&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=sYhw2WaPGa63p7Hk%2B7HlzA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,RBC,"Toronto, Ontario, Canada","Job Summary + +Job Description + +What is the opportunity? + +RBC Technology Infrastructure seeks a Full Stack Data Scientist (DS) to explore and operationalize big data sources to reduce outage and down time for RBC services that leads to improve user experience and save costs. Seeking a DS with experience in applied research and problem solving to join our team. The successful candidate will have experience with developing and deploying production grade AI/ML solutions, have broad expertise in statistics, analytics, ML and strong programming skill. + +What will you do? + + +Lead full life-cycle Data Science solutions from beginning to model deployment and monitoring and partner with the engineering team to ensure best practices for ML model deployment. +Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. +Experience in (Python, R, Scala, SQL, NoSQL, etc.) to obtain, integrate, manipulate, and analyze data from multiple sources. +Expertise in statistical data analysis (e.g. univariate/bivariate analysis) and data quality assessment. +Build Gen-AI, Machine Learning, Deep Learning and statistical models to solve specific business problems. +Developing predictive data models, anomaly detection model, quantitative analyses and visualization of targeted big data sources. +Leading data exploration and analytic projects and providing on-going coaching of big data topics (visualization, data mining, analytic techniques). +Exploring and implementing semantic data capabilities through NLP, text mining and machine learning techniques. +Overseeing the acquisitions and ingestions of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data. +Utilizing APIs to collect data from various products into the Data Warehouse Database. + + +What do you need to succeed? + +Must have: + + +University, Master or Ph.D. degree in an analytical field of study (e.g. Computer Science, Engineering, Mathematics, Statistics, or related quantitative field). +Experience creating and using Gen-AI , advanced machine learning algorithms and statistics: Classification and Clustering, Forecasting, Predictive modeling, Recommender Engine, Anomaly detection, Optimization, Simulation, Regression, etc. +Excellent working knowledge of Reinforcement learning (DynaQ/Q+, SARSA, TD, Monte Carlo). +Excellent knowledge in MS SQL Server DBA. +Good knowledge with Microsoft Windows Server Administration. +Excellent knowledge in Python, SQL and C# Programming languages. +Excellent Knowledge in cloud orchestration. +Excellent knowledge in Experience with SSIS, Spark, cloud computing services (e.g. AWS), Hadoop. +Experience with BI tools such as Tableau, Looker, PowerBI, and DOMO for dashboarding or analysis +Strong communication, collaboration, and problem-solving skills +Ability to prioritize work and manage multiple work streams concurrently + + +Nice-to-have: + + +Ability to create data architectures. +Experience in data applications using large scale distributed systems (e.g. Spark, Hadoop, Pig, and Hive). +Broad knowledge of ML methods, statistical analysis, and problem-solving skills. +Knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data sets. +Familiarity with structured and non-structured data. +A desire to learn new techniques and technologies + + +What’s in it for you? + +We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. + + +A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable +Leaders who support your development through coaching and managing opportunities +Ability to make a difference and lasting impact +Work in a dynamic, collaborative, progressive, and high-performing team +A world-class training program in financial services +Flexible work/life balance options +Opportunities to do challenging work + + +#TechPJ + +Job Skills + +Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language) + +Additional Job Details + +Address: + +RBC CENTRE, 155 WELLINGTON ST W:TORONTO + +City: + +TORONTO + +Country: + +Canada + +Work hours/week: + +37.5 + +Employment Type: + +Full time + +Platform: + +TECHNOLOGY AND OPERATIONS + +Job Type: + +Regular + +Pay Type: + +Salaried + +Posted Date: + +2024-08-20 + +Application Deadline: + +2024-09-30 + +Inclusion and Equal Opportunity Employment + +At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities. + +We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process. + +Join our Talent Community + +Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. + +Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com + + +Show more ","
    + + + + + +
    +
    + Job Summary

    Job Description

    What is the opportunity?

    RBC Technology Infrastructure seeks a Full Stack Data Scientist (DS) to explore and operationalize big data sources to reduce outage and down time for RBC services that leads to improve user experience and save costs. Seeking a DS with experience in applied research and problem solving to join our team. The successful candidate will have experience with developing and deploying production grade AI/ML solutions, have broad expertise in statistics, analytics, ML and strong programming skill.

    What will you do?

    • Lead full life-cycle Data Science solutions from beginning to model deployment and monitoring and partner with the engineering team to ensure best practices for ML model deployment.
    • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
    • Experience in (Python, R, Scala, SQL, NoSQL, etc.) to obtain, integrate, manipulate, and analyze data from multiple sources.
    • Expertise in statistical data analysis (e.g. univariate/bivariate analysis) and data quality assessment.
    • Build Gen-AI, Machine Learning, Deep Learning and statistical models to solve specific business problems.
    • Developing predictive data models, anomaly detection model, quantitative analyses and visualization of targeted big data sources.
    • Leading data exploration and analytic projects and providing on-going coaching of big data topics (visualization, data mining, analytic techniques).
    • Exploring and implementing semantic data capabilities through NLP, text mining and machine learning techniques.
    • Overseeing the acquisitions and ingestions of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data.
    • Utilizing APIs to collect data from various products into the Data Warehouse Database.

    What do you need to succeed?

    Must have:

    • University, Master or Ph.D. degree in an analytical field of study (e.g. Computer Science, Engineering, Mathematics, Statistics, or related quantitative field).
    • Experience creating and using Gen-AI , advanced machine learning algorithms and statistics: Classification and Clustering, Forecasting, Predictive modeling, Recommender Engine, Anomaly detection, Optimization, Simulation, Regression, etc.
    • Excellent working knowledge of Reinforcement learning (DynaQ/Q+, SARSA, TD, Monte Carlo).
    • Excellent knowledge in MS SQL Server DBA.
    • Good knowledge with Microsoft Windows Server Administration.
    • Excellent knowledge in Python, SQL and C# Programming languages.
    • Excellent Knowledge in cloud orchestration.
    • Excellent knowledge in Experience with SSIS, Spark, cloud computing services (e.g. AWS), Hadoop.
    • Experience with BI tools such as Tableau, Looker, PowerBI, and DOMO for dashboarding or analysis
    • Strong communication, collaboration, and problem-solving skills
    • Ability to prioritize work and manage multiple work streams concurrently

    Nice-to-have:

    • Ability to create data architectures.
    • Experience in data applications using large scale distributed systems (e.g. Spark, Hadoop, Pig, and Hive).
    • Broad knowledge of ML methods, statistical analysis, and problem-solving skills.
    • Knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data sets.
    • Familiarity with structured and non-structured data.
    • A desire to learn new techniques and technologies

    What’s in it for you?

    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
    • Leaders who support your development through coaching and managing opportunities
    • Ability to make a difference and lasting impact
    • Work in a dynamic, collaborative, progressive, and high-performing team
    • A world-class training program in financial services
    • Flexible work/life balance options
    • Opportunities to do challenging work

    #TechPJ

    Job Skills

    Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

    Additional Job Details

    Address:

    RBC CENTRE, 155 WELLINGTON ST W:TORONTO

    City:

    TORONTO

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    TECHNOLOGY AND OPERATIONS

    Job Type:

    Regular

    Pay Type:

    Salaried

    Posted Date:

    2024-08-20

    Application Deadline:

    2024-09-30

    Inclusion and Equal Opportunity Employment

    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

    Join our Talent Community

    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com</a/span>

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4002101894,https://ca.linkedin.com/jobs/view/artificial-intelligence-and-machine-learning-engineer-at-hcltech-4002101894?position=29&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=0P%2BuzuBAGOZVCVpNDWErYg%3D%3D&trk=public_jobs_jserp-result_search-card,Artificial Intelligence and Machine Learning Engineer,HCLTech,"Mississauga, Ontario, Canada","Role : AI/ML Engineer + +Location : Mississauga, ON (Hybrid) + +Qualifications & Skills: + +Master’s or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. +3+ years of experience with ML methods, including reinforcement learning, computer vision, or NLP. +4+ years of experience in software engineering, with a focus on production-grade applications. Practical experience with ROS2 and parallel computing technologies (e.g., CUDA, OpenMP). +Proficiency in Python and hands-on experience with ML frameworks (TensorFlow, PyTorch). +Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus. +Strong understanding of robotics principles and technologies is highly desirable. +Publications in leading AI, ML, or robotics conferences are a plus. +Excellent problem-solving abilities, strong communication skills, and the capacity to work in a fast-paced, collaborative environment. +Show more ","
    + + + + + +
    +
    +

    Role : AI/ML Engineer

    Location : Mississauga, ON (Hybrid)

    Qualifications & Skills:

    • Master’s or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
    • 3+ years of experience with ML methods, including reinforcement learning, computer vision, or NLP.
    • 4+ years of experience in software engineering, with a focus on production-grade applications. Practical experience with ROS2 and parallel computing technologies (e.g., CUDA, OpenMP).
    • Proficiency in Python and hands-on experience with ML frameworks (TensorFlow, PyTorch).
    • Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.
    • Strong understanding of robotics principles and technologies is highly desirable.
    • Publications in leading AI, ML, or robotics conferences are a plus.
    • Excellent problem-solving abilities, strong communication skills, and the capacity to work in a fast-paced, collaborative environment.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4003174801,https://ca.linkedin.com/jobs/view/data-scientist-reuters-at-thomson-reuters-4003174801?position=30&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=ZeCcAeJEXyKgSVQ2Vp1sJw%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Reuters",Thomson Reuters,"Toronto, Ontario, Canada","Data Scientist – Reuters News + +We envisage the successful candidate being based in either London, United Kingdom or Toronto, Canada. + +Want to deploy your academic knowledge and practical skills in a hands-on, problem-solving position? Want to play a key role in how once of the world’s most powerful newsrooms designs and implements solutions that ensure our news gets to the right people at the right time? Well this might be the role for you... + +Reuters is looking for a Data Scientist to help create artificial intelligence products for Reuters News.  As a Data Scientist, you’ll create deep learning, machine learning, and artificial intelligence models using state-of-the-art research and cloud platform solutions, maintaining a special focus on data preparation, testing and evaluation of metric performance. + +In this varied role, you’ll work on both news technology projects that will play a crucial role in supporting both our global newsrooms as well as the strategy and execution of Reuters’ news production efforts. As such, you’ll work with a range of stakeholders both within the newsroom and with the wider business to determine the path forward in how Reuters puts stories out into the world, from a technological perspective. + +  + +About The Role  + +  + +As a Data Scientist at Reuters you will:  + + +Work as part of a collaborative team that works closely with the CTO on both AI and non-AI software products that power Reuters’ global newsrooms in real-time.  +Work in both a strategic and practical manner, building great news solutions that will aid the way in which Reuters newsrooms use video, photo and text multimedia when getting crucial information around the world  at high speed.  + Use your analytical skills to gather and prepare datasets whilst training analytical models. This work will be key to Reuters’ delivery of news to its different global audiences, but will also be key to our understanding of how our audiences are using and consuming news.   +Assist with evaluating systems, including the use of performance metrics that allow different business units to make great strategic decisions in a technological space.  +Be a great listener and problem solver. You’ll work closely with both editorial and technological stakeholders internally to understand pain points, areas for innovation, and will establish the best course of action, in building and delivering practical, innovative solutions with its users’ needs at heart.  + + + +  + +About You  + +You’re a fit for the role of Data Scientist at Reuters if you have:     + + +Demonstrable experience in Python with strong grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.     +Demonstrable, applied experience in ML, deep learning or Computer Vision     +Have demonstrated expertise in machine learning and artificial intelligence tasks such as feature engineering, image processing, NLP, or model training.    +Knowledge and experience with recent machine learning frameworks     +Demonstrated experience in building and maintaining high quality, robust and maintainable code     +Experience in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure     +Ability to work with large data sets, including preparation, labelling, and analysis tasks    +Comfortable with Agile practices     +Comfortable with giving web presentations on investigations or work    + + + +Please Note: Completed applications must be submitted by Sunday 8th September 2024. Early applications are encouraged. + +What's in it For You? + +You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through: + + +Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected +Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing. +Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more. +Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking. +Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact. +Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. + + + +Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing. + +We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. + +Accessibility + +As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. + +We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. + +Protect yourself from fraudulent job postings click here to know more. + +More information about Thomson Reuters can be found on https://thomsonreuters.com. + + +Show more ","
    + + + + + +
    +
    + Data Scientist – Reuters News

    We envisage the successful candidate being based in either London, United Kingdom or Toronto, Canada.

    Want to deploy your academic knowledge and practical skills in a hands-on, problem-solving position? Want to play a key role in how once of the world’s most powerful newsrooms designs and implements solutions that ensure our news gets to the right people at the right time? Well this might be the role for you...

    Reuters is looking for a Data Scientist to help create artificial intelligence products for Reuters News.  As a Data Scientist, you’ll create deep learning, machine learning, and artificial intelligence models using state-of-the-art research and cloud platform solutions, maintaining a special focus on data preparation, testing and evaluation of metric performance.

    In this varied role, you’ll work on both news technology projects that will play a crucial role in supporting both our global newsrooms as well as the strategy and execution of Reuters’ news production efforts. As such, you’ll work with a range of stakeholders both within the newsroom and with the wider business to determine the path forward in how Reuters puts stories out into the world, from a technological perspective.

     

    About The Role 

     

    As a Data Scientist at Reuters you will: 

    • Work as part of a collaborative team that works closely with the CTO on both AI and non-AI software products that power Reuters’ global newsrooms in real-time. 
    • Work in both a strategic and practical manner, building great news solutions that will aid the way in which Reuters newsrooms use video, photo and text multimedia when getting crucial information around the world  at high speed. 
    •  Use your analytical skills to gather and prepare datasets whilst training analytical models. This work will be key to Reuters’ delivery of news to its different global audiences, but will also be key to our understanding of how our audiences are using and consuming news.  
    • Assist with evaluating systems, including the use of performance metrics that allow different business units to make great strategic decisions in a technological space. 
    • Be a great listener and problem solver. You’ll work closely with both editorial and technological stakeholders internally to understand pain points, areas for innovation, and will establish the best course of action, in building and delivering practical, innovative solutions with its users’ needs at heart. 


     

    About You 

    You’re a fit for the role of Data Scientist at Reuters if you have:    

    • Demonstrable experience in Python with strong grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.    
    • Demonstrable, applied experience in ML, deep learning or Computer Vision    
    • Have demonstrated expertise in machine learning and artificial intelligence tasks such as feature engineering, image processing, NLP, or model training.   
    • Knowledge and experience with recent machine learning frameworks    
    • Demonstrated experience in building and maintaining high quality, robust and maintainable code    
    • Experience in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure    
    • Ability to work with large data sets, including preparation, labelling, and analysis tasks   
    • Comfortable with Agile practices    
    • Comfortable with giving web presentations on investigations or work   


    Please Note: Completed applications must be submitted by Sunday 8th September 2024. Early applications are encouraged.

    What's in it For You?

    You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

    • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected
    • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
    • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
    • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
    • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
    • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.


    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

    We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

    Accessibility

    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

    Protect yourself from fraudulent job postings click here to know more.

    More information about Thomson Reuters can be found on https://thomsonreuters.com.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-17,[] +3987145805,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-bombardier-3987145805?position=31&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=eSiRqVxki6Q7RTObaaSNKA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Bombardier,Greater Montreal Metropolitan Area,"Why join us? + +Bombardier is a global leader in aviation, focused on designing, manufacturing and servicing the world's most exceptional business jets and specialized mission platforms. Bombardier has been successful in setting the highest standards because we are a people-centric business that fosters passion, diversity and authenticity. + + + + +Prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms. + + + + +Our Benefits + +With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following: + +Insurance plans (Medical, life insurance, and more) +Employee Assistance Program +Competitive base salary + + + + +What are your contributions to the team? + +• Collaborate with experienced Machine Learning Engineers (MLEs) to develop and deliver machine learning (ML) solutions that meet the needs of Bombardier's organization. + +• Assist in the deployment of ML models within the production data science environment, following best practices, pipeline controls, and maintaining clear documentation. + +• Contribute to the development of tools for monitoring the machine learning life cycle and providing observability into the system's execution flow. + +• Participate in designing, implementing, and optimizing maintainable and reusable ML services that enhance Bombardier's data and advanced analytics solutions. + +• Assist in analyzing, processing, and modeling data, and help interpret the results to create actionable plans that positively impact Bombardier's operations. + +• Work on configuring robust environments that handle data and microsystem connections, enabling ML workflows. + + + + + + + +How to thrive in this role? + +• You have experience and a strong interest in analytics, data science, and computer engineering + +• You are familiar with, and open to gaining experience, using cloud computing platforms. + +• You are proficient speaking English and French + +• You have experience using Microsoft Azure’s advanced analytics tools (e.g., Azure Data Factory, Azure Databricks, Azure Machine Learning). + +• You developed machine learning algorithms before. + +• You are willing to learn about Docker and software packaging and ML production lifecycle. + +• You are familiar with software architecture, and modular software development. Proficiency with Python is a must. Familiarity with PySpark is a plus. + +• You have familiarity with Linux scripting or PowerShell scripting. + +• You are interested in agile project management and application lifecycle management, including familiarity with Azure DevOps or Gitlab. + + + + + + + +Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply. + +Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone. + +Show more ","
    + + + + + +
    +
    +

    Why join us?

    Bombardier is a global leader in aviation, focused on designing, manufacturing and servicing the world's most exceptional business jets and specialized mission platforms. Bombardier has been successful in setting the highest standards because we are a people-centric business that fosters passion, diversity and authenticity.


    Prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms.


    Our Benefits

    With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:

    • Insurance plans (Medical, life insurance, and more)
    • Employee Assistance Program
    • Competitive base salary


    What are your contributions to the team?

    • Collaborate with experienced Machine Learning Engineers (MLEs) to develop and deliver machine learning (ML) solutions that meet the needs of Bombardier's organization.

    • Assist in the deployment of ML models within the production data science environment, following best practices, pipeline controls, and maintaining clear documentation.

    • Contribute to the development of tools for monitoring the machine learning life cycle and providing observability into the system's execution flow.

    • Participate in designing, implementing, and optimizing maintainable and reusable ML services that enhance Bombardier's data and advanced analytics solutions.

    • Assist in analyzing, processing, and modeling data, and help interpret the results to create actionable plans that positively impact Bombardier's operations.

    • Work on configuring robust environments that handle data and microsystem connections, enabling ML workflows.



    How to thrive in this role?

    • You have experience and a strong interest in analytics, data science, and computer engineering

    • You are familiar with, and open to gaining experience, using cloud computing platforms.

    • You are proficient speaking English and French

    • You have experience using Microsoft Azure’s advanced analytics tools (e.g., Azure Data Factory, Azure Databricks, Azure Machine Learning).

    • You developed machine learning algorithms before.

    • You are willing to learn about Docker and software packaging and ML production lifecycle.

    • You are familiar with software architecture, and modular software development. Proficiency with Python is a must. Familiarity with PySpark is a plus.

    • You have familiarity with Linux scripting or PowerShell scripting.

    • You are interested in agile project management and application lifecycle management, including familiarity with Azure DevOps or Gitlab.



    Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.

    Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +4008630316,https://ca.linkedin.com/jobs/view/data-scientist-llm-at-iris-software-inc-4008630316?position=33&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=D%2BOxPHoXNuU2U2vGE5d4%2BA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (LLM),Iris Software Inc.,"Toronto, Ontario, Canada","Iris's Fortune 100 direct client is looking for Data Scientist (LLM). Please find below Job description and share me your updated resume at Jatin.gupta@irissoftware.com. + + + + +Position: Data Scientist (LLM) + +Location: Toronto, ON (3 days onsite in a week) + + + + +Data Scientist with experience on LLM use cases in Finance, Executive Earnings Reports, llama, openAI + +The Data Scientist (Generative AI)GenAI - experience on LLM use cases in Finance, Executive Earnings Reports, llama, openAI, AWS Bedrock +Python +Scikit Learn +ML +CDK / Typescript +SQL +Strong analytical and problem-solving skills +Excellent communication and documentation skills + +Show more ","
    + + + + + +
    +
    +

    Iris's Fortune 100 direct client is looking for Data Scientist (LLM). Please find below Job description and share me your updated resume at Jatin.gupta@irissoftware.com.


    Position: Data Scientist (LLM)

    Location: Toronto, ON (3 days onsite in a week)


    Data Scientist with experience on LLM use cases in Finance, Executive Earnings Reports, llama, openAI

    • The Data Scientist (Generative AI)GenAI - experience on LLM use cases in Finance, Executive Earnings Reports, llama, openAI, AWS Bedrock
    • Python
    • Scikit Learn
    • ML
    • CDK / Typescript
    • SQL
    • Strong analytical and problem-solving skills
    • Excellent communication and documentation skills

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +3878106621,https://ca.linkedin.com/jobs/view/data-scientist-decisions-driving-experience-at-lyft-3878106621?position=34&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=dk%2BFkqwEpwzT99QPltXAUA%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Decisions - Driving Experience",Lyft,"Toronto, Ontario, Canada","At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. + +As a Data Scientist on the Driving XP team, you will collaborate with our world class team of engineers, product managers, and designers to design the end-to-end driving experience for hundreds of thousands of drivers who interact deeply with our app every day. This includes building tools to set personal driving preferences, guidance on when and where to drive, and designing the best UI and personalized XP to get the right rides to the right drivers quickly. + +Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our Driving XP products and make business decisions that put drivers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features. + +Responsibilities: + + +Leverage data and analytic frameworks to identify opportunities for growth and efficiency +Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action +Design and analyze online experiments; communicate results and act on launch decisions +Develop analytical frameworks to monitor business and product performance +Establish metrics that measure the health of our products, as well as rider and driver experience + + +Experience: + + +Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience +5+ years of industry experience in a data science or analytical role +Proficiency in SQL - able to write structured and efficient queries on large data sets +Experience in programming, especially with data science and visualization libraries in Python or R +Experience in online experimentation and statistical analysis +Experience in applying Machine Learning techniques (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation) +Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners + + +Benefits: + + +Extended health and dental coverage options, along with life insurance and disability benefits +Mental health benefits +Family building benefits +Access to a Health Care Savings Account +In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service +4 Floating Holidays each calendar year prorated based off of date of hire +10 paid sick days per year regardless of province +18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible + + +Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request. + +This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +Show more ","
    + + + + + +
    +
    + At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

    As a Data Scientist on the Driving XP team, you will collaborate with our world class team of engineers, product managers, and designers to design the end-to-end driving experience for hundreds of thousands of drivers who interact deeply with our app every day. This includes building tools to set personal driving preferences, guidance on when and where to drive, and designing the best UI and personalized XP to get the right rides to the right drivers quickly.

    Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our Driving XP products and make business decisions that put drivers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features.

    Responsibilities:

    • Leverage data and analytic frameworks to identify opportunities for growth and efficiency
    • Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
    • Design and analyze online experiments; communicate results and act on launch decisions
    • Develop analytical frameworks to monitor business and product performance
    • Establish metrics that measure the health of our products, as well as rider and driver experience

    Experience:

    • Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
    • 5+ years of industry experience in a data science or analytical role
    • Proficiency in SQL - able to write structured and efficient queries on large data sets
    • Experience in programming, especially with data science and visualization libraries in Python or R
    • Experience in online experimentation and statistical analysis
    • Experience in applying Machine Learning techniques (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
    • Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

    Benefits:

    • Extended health and dental coverage options, along with life insurance and disability benefits
    • Mental health benefits
    • Family building benefits
    • Access to a Health Care Savings Account
    • In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
    • 4 Floating Holidays each calendar year prorated based off of date of hire
    • 10 paid sick days per year regardless of province
    • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

    Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.

    This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-24,[] +3996268691,https://ca.linkedin.com/jobs/view/senior-data-scientist-at-fusemachines-3996268691?position=36&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=bWVkv50lflghIF1T96FlHA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Fusemachines,"Toronto, Ontario, Canada","About Fusemachines: + +Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 400 full-time employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world. + +About the Role: + +The position is a remote, 3 months contract-based engagement (with a possibility of extension), + +About you: + + +7+ years of experience in AI and machine learning, model building and strong coding skills in python +Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field +Deep understanding of NLP including text classifier, re-ranker, topic modeling +Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc +Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc +Experience with reinforcement learning, prompt engineering, hallucination mitigation DevOps repos Debugging, building APIs and managing the algorithm flow across multiple work streams in one repo +Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark) +Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders +Strong work ethics and dedication to the project's success +Strong problem-solving skills and the ability to think outside the box +Collaborative behavior, ability to efficiently share code and knowledge and good teammates + + +Responsibilities: + + +Research, development, and implementation of algorithms and models to solve business challenges +Design and execute experiments to evaluate the performance of models and iterate on them to achieve state-of-the-art results +Utilize Large Language Models (LLM) or similar architectures to build scalable and efficient solutions +Collaborate with software engineers to integrate solutions into production systems and ensure scalability and reliability + + +Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by law. + +Powered by JazzHR + +XdmhbrHDfY +Show more ","
    + + + + + +
    +
    + About Fusemachines:

    Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 400 full-time employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

    About the Role:

    The position is a remote, 3 months contract-based engagement (with a possibility of extension),

    About you:

    • 7+ years of experience in AI and machine learning, model building and strong coding skills in python
    • Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field
    • Deep understanding of NLP including text classifier, re-ranker, topic modeling
    • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc
    • Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc
    • Experience with reinforcement learning, prompt engineering, hallucination mitigation DevOps repos Debugging, building APIs and managing the algorithm flow across multiple work streams in one repo
    • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
    • Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
    • Strong work ethics and dedication to the project's success
    • Strong problem-solving skills and the ability to think outside the box
    • Collaborative behavior, ability to efficiently share code and knowledge and good teammates

    Responsibilities:

    • Research, development, and implementation of algorithms and models to solve business challenges
    • Design and execute experiments to evaluate the performance of models and iterate on them to achieve state-of-the-art results
    • Utilize Large Language Models (LLM) or similar architectures to build scalable and efficient solutions
    • Collaborate with software engineers to integrate solutions into production systems and ensure scalability and reliability

    Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by law.

    Powered by JazzHR

    XdmhbrHDfY +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-08,[] +4004588522,https://ca.linkedin.com/jobs/view/senior-ai-ml-engineer-in-toronto-ontario-remote-at-techedin-4004588522?position=37&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=1a0qoDdGkx0jq4Npstf4Dg%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior AI/ML Engineer in Toronto, Ontario. (Remote)",Techedin,Canada,"We are looking for a Machine Learning Engineer to contribute to the development and optimization of machine learning models and data pipelines. In this role, you will focus on implementing solutions for data processing, model training, and deployment while working closely with a team of engineers. + +Responsibilities + + +Collaborate with engineers to develop data pipelines and architectures. +Support tasks related to data collection, storage, processing, and analysis. +Write code for model training, testing, and deployment. +Monitor and troubleshoot machine learning models. +Perform requirements analysis and document solutions. +Work with large-scale data sets and manage data flow between systems. +Organize and process large batches of text and geometric data. +Communicate findings through data analysis and visuals. + + +Minimum Qualifications + + +MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field. +4 to 5 years of experience in machine learning engineering or a related field. +Expertise in training deep neural nets, such as CNNs and transformers. +Proficiency in at least one deep learning framework (e.g., PyTorch, TensorFlow). +Strong fundamentals in 3D geometry and geometric computer vision. +Exposure to Cloud Computing in AWS and SageMaker Studio. +Understanding of fundamental CS algorithms and their scaling behaviors. +Coding skills in procedural and data-analytics-oriented languages (e.g., Python). +Ability to translate theoretical concepts into practical solutions. + + +Follow us: TechedIn Labs + +Techedin is a global IT Services company complementing the efforts of technology-driven enterprises in developing cutting-edge solutions for humans. We offer services in enterprise app development, content management solutions (CMS), customer relationship management (CRM), cloud engineering, custom software development, and data engineering. Our services include IT Consulting, project management, Software Quality Assurance, and data and analytics services. We develop and maintain various software applications and all other computer-related ancillary services. We have excellent professionals working round the clock to build the best technology teams and products for our customers. +Show more ","
    + + + + + +
    +
    + We are looking for a Machine Learning Engineer to contribute to the development and optimization of machine learning models and data pipelines. In this role, you will focus on implementing solutions for data processing, model training, and deployment while working closely with a team of engineers.

    Responsibilities

    • Collaborate with engineers to develop data pipelines and architectures.
    • Support tasks related to data collection, storage, processing, and analysis.
    • Write code for model training, testing, and deployment.
    • Monitor and troubleshoot machine learning models.
    • Perform requirements analysis and document solutions.
    • Work with large-scale data sets and manage data flow between systems.
    • Organize and process large batches of text and geometric data.
    • Communicate findings through data analysis and visuals.

    Minimum Qualifications

    • MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field.
    • 4 to 5 years of experience in machine learning engineering or a related field.
    • Expertise in training deep neural nets, such as CNNs and transformers.
    • Proficiency in at least one deep learning framework (e.g., PyTorch, TensorFlow).
    • Strong fundamentals in 3D geometry and geometric computer vision.
    • Exposure to Cloud Computing in AWS and SageMaker Studio.
    • Understanding of fundamental CS algorithms and their scaling behaviors.
    • Coding skills in procedural and data-analytics-oriented languages (e.g., Python).
    • Ability to translate theoretical concepts into practical solutions.

    Follow us: TechedIn Labs

    Techedin is a global IT Services company complementing the efforts of technology-driven enterprises in developing cutting-edge solutions for humans. We offer services in enterprise app development, content management solutions (CMS), customer relationship management (CRM), cloud engineering, custom software development, and data engineering. Our services include IT Consulting, project management, Software Quality Assurance, and data and analytics services. We develop and maintain various software applications and all other computer-related ancillary services. We have excellent professionals working round the clock to build the best technology teams and products for our customers. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +3996449243,https://ca.linkedin.com/jobs/view/machine-learning-scientist-at-synlico-inc-3996449243?position=39&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=tv7MZM6ggLX73yastjcdFA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Scientist,Synlico Inc.,Canada,"Synlico Inc. is a resident company of Johnson & Johnson Innovation – JLABS, a premier life science incubator program. Synlico envisions rewriting medicine by bringing causality to cellular biology. We are an AI-powered Drug Discovery startup developing cutting-edge engineered T cell therapies to combat solid tumors with the latest advancements in single-cell bioinformatics, machine learning, and causal discovery. We are a passionate team of young scientists and professionals who value innovation and teamwork. Our research is highly interdisciplinary and team oriented. We are seeking a talented and enthusiastic machine learning scientist who will lead/participate in several of our projects with our science team. Our HQ is at South San Francisco, CA, United States. For more information, please visit www.synlico.com.  + +  + +Job Description:  + +This is a remote working position in Canada. As a member of our science team, the machine learning scientist will   + +Design state-of-the-art generative flow model for biological systems at the cellular level.  +Foster strong collaboration with bioinformatics, ML, and causal teams and provide expert opinions to project peers.  +Leading innovation initiatives and incorporating fresh ideas and technologies.  + +  + +Job Requirement:  + +Ph.D in Computer Science or related technical discipline.   +Demonstrate a robust research history and strong publication record.   +Strong expertise with generative flow models, especially normalizing flow model. +Solid coding and problem-solving skills, experience with real word data.     +Excellent communication and collaboration skills, with the ability to work collaboratively and independently with minimal supervision.   +Passionate about addressing complex, real-world challenges and creating impactful, innovative solutions.  + + + + +Interested candidates please submit your CV with a full list of your publications.   + + + + +Synlico is an equal opportunity employer. At Synlico, we value differences and are committed to a diverse workplace that fosters inclusion for all employees. Synlico provides a work environment that respects each individual and is free of all forms of employment discrimination because of race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status.  + +Show more ","
    + + + + + +
    +
    +

    Synlico Inc. is a resident company of Johnson & Johnson Innovation – JLABS, a premier life science incubator program. Synlico envisions rewriting medicine by bringing causality to cellular biology. We are an AI-powered Drug Discovery startup developing cutting-edge engineered T cell therapies to combat solid tumors with the latest advancements in single-cell bioinformatics, machine learning, and causal discovery. We are a passionate team of young scientists and professionals who value innovation and teamwork. Our research is highly interdisciplinary and team oriented. We are seeking a talented and enthusiastic machine learning scientist who will lead/participate in several of our projects with our science team. Our HQ is at South San Francisco, CA, United States. For more information, please visit www.synlico.com. 

     

    Job Description: 

    This is a remote working position in Canada. As a member of our science team, the machine learning scientist will  

    • Design state-of-the-art generative flow model for biological systems at the cellular level. 
    • Foster strong collaboration with bioinformatics, ML, and causal teams and provide expert opinions to project peers. 
    • Leading innovation initiatives and incorporating fresh ideas and technologies. 

     

    Job Requirement: 

    • Ph.D in Computer Science or related technical discipline.  
    • Demonstrate a robust research history and strong publication record.  
    • Strong expertise with generative flow models, especially normalizing flow model.
    • Solid coding and problem-solving skills, experience with real word data.    
    • Excellent communication and collaboration skills, with the ability to work collaboratively and independently with minimal supervision.  
    • Passionate about addressing complex, real-world challenges and creating impactful, innovative solutions. 


    Interested candidates please submit your CV with a full list of your publications.  


    Synlico is an equal opportunity employer. At Synlico, we value differences and are committed to a diverse workplace that fosters inclusion for all employees. Synlico provides a work environment that respects each individual and is free of all forms of employment discrimination because of race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status. 

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-12,[] +3989275116,https://ca.linkedin.com/jobs/view/hdo-data-scientist-canada-at-zortech-solutions-3989275116?position=40&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=YI3oZnEAmWx3XKYlq%2F7Ejg%3D%3D&trk=public_jobs_jserp-result_search-card,HDO Data Scientist-Canada,Zortech Solutions,"Toronto, Ontario, Canada","Role: HDO Data Scientist + +Location: Remote/Canada + +Duration: 6+ Months + +Job Description + +Key Responsibilities: + +Collaborate with cross-functional teams to identify and prioritize quick win opportunities for data-driven insights and improvements. + +Develop and implement ML models to analyze large datasets and extract valuable insights. + +Apply advanced statistical techniques and algorithms to solve complex business problems. + +Design and implement data transformation processes to ensure data quality and integrity. + +Utilize genAI and LLM models to enhance data analysis and predictive capabilities. + +Collaborate with Data Engineers to design and optimize data architecture for efficient data processing and storage. + +Develop and deploy scalable and production-ready ML models. + +Conduct exploratory data analysis to uncover patterns, trends, and correlations in the data. + +Stay up-to-date with the latest advancements in ML, AI, and data science technologies. + +Qualifications + +What you bring + +You are comfortable with high level of ambiguity and possess a continuous improvement mindset + +Master's or Ph.D. degree in Computer Science, Data Science, or a related field. + +Proven experience as a Data Scientist or similar role, working on data transformation and AI-related projects. + +Strong programming skills in Python for data manipulation, analysis, and model development. + +In-depth knowledge of ML algorithms, techniques, and frameworks. + +Familiarity with genAI and LLM models and their implementation. + +Experience in designing and optimizing data architecture for efficient data processing and storage. + +Proficiency in SQL and database management systems. + +Strong Problem-solving And Analytical Skills. + +Excellent communication and collaboration skills to work effectively with cross-functional teams. + +If you are passionate about leveraging data and AI to drive business outcomes and have the required skills and experience, we would love to hear from you. Join our team and contribute to the success of our data-driven initiatives +Show more ","
    + + + + + +
    +
    + Role: HDO Data Scientist

    Location: Remote/Canada

    Duration: 6+ Months

    Job Description

    Key Responsibilities:

    Collaborate with cross-functional teams to identify and prioritize quick win opportunities for data-driven insights and improvements.

    Develop and implement ML models to analyze large datasets and extract valuable insights.

    Apply advanced statistical techniques and algorithms to solve complex business problems.

    Design and implement data transformation processes to ensure data quality and integrity.

    Utilize genAI and LLM models to enhance data analysis and predictive capabilities.

    Collaborate with Data Engineers to design and optimize data architecture for efficient data processing and storage.

    Develop and deploy scalable and production-ready ML models.

    Conduct exploratory data analysis to uncover patterns, trends, and correlations in the data.

    Stay up-to-date with the latest advancements in ML, AI, and data science technologies.

    Qualifications

    What you bring

    You are comfortable with high level of ambiguity and possess a continuous improvement mindset

    Master's or Ph.D. degree in Computer Science, Data Science, or a related field.

    Proven experience as a Data Scientist or similar role, working on data transformation and AI-related projects.

    Strong programming skills in Python for data manipulation, analysis, and model development.

    In-depth knowledge of ML algorithms, techniques, and frameworks.

    Familiarity with genAI and LLM models and their implementation.

    Experience in designing and optimizing data architecture for efficient data processing and storage.

    Proficiency in SQL and database management systems.

    Strong Problem-solving And Analytical Skills.

    Excellent communication and collaboration skills to work effectively with cross-functional teams.

    If you are passionate about leveraging data and AI to drive business outcomes and have the required skills and experience, we would love to hear from you. Join our team and contribute to the success of our data-driven initiatives +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-31,[] +4004906264,https://ca.linkedin.com/jobs/view/junior-python-engineer-%E2%80%93-up-to-%24140k-%2B-bonus-%E2%80%93-montreal-hybrid-at-hunter-bond-4004906264?position=44&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=Vc4HkqZH9KUULU6rgcqPgA%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Python Engineer – up to $140k + Bonus – Montreal (Hybrid),Hunter Bond,"Montreal, Quebec, Canada","Python Padawans Wanted: Kickstart Your Fintech Journey in Montreal + +Are you a junior Python pro with 1-4 years under your belt? Ready to join the ranks of an Elite Fintech firm and embark on an epic coding adventure? I am on the hunt for rising stars with an insatiable appetite for learning and a passion for financial technology. + + + + +Your Mission (Should You Choose to Accept It): + +Develop cutting-edge financial applications using your Python skills +Gain valuable experience in distributed systems and database management +Collaborate with cross-functional teams to solve complex challenges + + + + +Your Budding Superpowers: + +Bachelor's degree in Computer Science or a related field +1-4 years of professional Python development experience +Strong foundation in object-oriented programming, data structures, and algorithms +Familiarity with Django or FastAPI (a bonus, but not required) +Eagerness to learn about distributed systems and database technologies + + + + +What You'll Bring: + +Unwavering problem-solving abilities and an analytical mindset +A commitment to writing clean, maintainable code +Excellent communication and collaboration skills +Adaptability to thrive in a fast-paced, dynamic environment +An insatiable thirst for learning and professional growth + + + + +The Rewards: + +Join a team of coding crusaders working on cutting-edge fintech solutions +Hybrid work environment with a balance of in-office and remote flexibility +Competitive compensation and benefits package +Opportunities for professional development and career advancement + + + + +Ready to ignite your coding journey? Apply now and let's conquer the world of fintech together! + +Show more ","
    + + + + + +
    +
    +

    Python Padawans Wanted: Kickstart Your Fintech Journey in Montreal

    Are you a junior Python pro with 1-4 years under your belt? Ready to join the ranks of an Elite Fintech firm and embark on an epic coding adventure? I am on the hunt for rising stars with an insatiable appetite for learning and a passion for financial technology.


    Your Mission (Should You Choose to Accept It):

    • Develop cutting-edge financial applications using your Python skills
    • Gain valuable experience in distributed systems and database management
    • Collaborate with cross-functional teams to solve complex challenges


    Your Budding Superpowers:

    • Bachelor's degree in Computer Science or a related field
    • 1-4 years of professional Python development experience
    • Strong foundation in object-oriented programming, data structures, and algorithms
    • Familiarity with Django or FastAPI (a bonus, but not required)
    • Eagerness to learn about distributed systems and database technologies


    What You'll Bring:

    • Unwavering problem-solving abilities and an analytical mindset
    • A commitment to writing clean, maintainable code
    • Excellent communication and collaboration skills
    • Adaptability to thrive in a fast-paced, dynamic environment
    • An insatiable thirst for learning and professional growth


    The Rewards:

    • Join a team of coding crusaders working on cutting-edge fintech solutions
    • Hybrid work environment with a balance of in-office and remote flexibility
    • Competitive compensation and benefits package
    • Opportunities for professional development and career advancement


    Ready to ignite your coding journey? Apply now and let's conquer the world of fintech together!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4000348357,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-barrington-james-4000348357?position=45&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=pck%2FVbddhDQ0x90V8G%2FTEw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Barrington James,"Quebec, Canada","Barrington James is seeking a highly skilled and experienced Machine Learning Engineer. Our client is a leading innovator in the field of human biosignal processing that are on a mission to unlock the power of human data and transform the way we interact with technology and empowering people to understand their health and performance better. + + + + +Responsibilities + + + + +Build cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression) to unlock new possibilities for our neuromotor interfaces. +Collaborate closely with engineers and our clients Human-Computer Interaction (HCI) team to translate scientific knowledge into real-world applications, creating intuitive and powerful user experiences. +Drive research forward by utilizing quantitative research methods to define, iterate, and advance key areas of our research agenda. +Develop robust research-grade code for deployment in research prototypes. +Be a team player, working across disciplines to solve complex challenges and unlock groundbreaking solutions. + + + + +Requirements + + + + +PhD in related field (e.g., Computer Science, Artificial intelligence, Machine learning, Signal Processing) +5+ years of experience in Data Science, Machine Learning Engineering, or Data Engineering. +Deep expertise in machine learning algorithms and techniques (e.g., deep learning, time series analysis, natural language processing). +Strong understanding of signal processing fundamentals and their application to wearable sensor data. +Proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, Keras). +Experience with cloud platforms (AWS, GCP, Azure) for ML model development and deployment. +A track record of successfully bringing machine learning-based products from research to production. +Previous experience designing, executing, interpreting, and presenting research studies independently. +Strong academic and practical foundation in Data Science fundamentals (probability, statistics, optimization, etc.). +Proven ability to solve complex problems and deliver innovative solutions. +Strong analytical and problem-solving skills. +Excellent communication and leadership skills. + + + + +Interested ? If so, please apply with your CV, and we will be in touch to arrange a call. + +Show more ","
    + + + + + +
    +
    +

    Barrington James is seeking a highly skilled and experienced Machine Learning Engineer. Our client is a leading innovator in the field of human biosignal processing that are on a mission to unlock the power of human data and transform the way we interact with technology and empowering people to understand their health and performance better.


    Responsibilities


    • Build cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression) to unlock new possibilities for our neuromotor interfaces.
    • Collaborate closely with engineers and our clients Human-Computer Interaction (HCI) team to translate scientific knowledge into real-world applications, creating intuitive and powerful user experiences.
    • Drive research forward by utilizing quantitative research methods to define, iterate, and advance key areas of our research agenda.
    • Develop robust research-grade code for deployment in research prototypes.
    • Be a team player, working across disciplines to solve complex challenges and unlock groundbreaking solutions.


    Requirements


    • PhD in related field (e.g., Computer Science, Artificial intelligence, Machine learning, Signal Processing)
    • 5+ years of experience in Data Science, Machine Learning Engineering, or Data Engineering.
    • Deep expertise in machine learning algorithms and techniques (e.g., deep learning, time series analysis, natural language processing).
    • Strong understanding of signal processing fundamentals and their application to wearable sensor data.
    • Proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, Keras).
    • Experience with cloud platforms (AWS, GCP, Azure) for ML model development and deployment.
    • A track record of successfully bringing machine learning-based products from research to production.
    • Previous experience designing, executing, interpreting, and presenting research studies independently.
    • Strong academic and practical foundation in Data Science fundamentals (probability, statistics, optimization, etc.).
    • Proven ability to solve complex problems and deliver innovative solutions.
    • Strong analytical and problem-solving skills.
    • Excellent communication and leadership skills.


    Interested ? If so, please apply with your CV, and we will be in touch to arrange a call.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-13,[] +3970955471,https://ca.linkedin.com/jobs/view/associate-machine-learning-engineer-investment-science-at-cpp-investments-investissements-rpc-3970955471?position=47&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=YMeUTRO2xVEB1azIEclKsA%3D%3D&trk=public_jobs_jserp-result_search-card,"Associate, Machine Learning Engineer, Investment Science",CPP Investments | Investissements RPC,"Toronto, Ontario, Canada","Company Description + +Make an impact at a global and dynamic investment organization + +When you invest your career in CPP Investments, you join one of the most respected and fastest growing institutional investors in the world. With current assets under management valued in excess of $500 billion, CPP Investments is a professional investment management organization that globally invests the funds of the Canada Pension Plan (CPP) to help ensure long-term sustainability. The CPP Fund is projected to reach $3 trillion by 2050. CPP Investments invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and is headquartered in Toronto with offices in Hong Kong, London, Luxembourg, Mumbai, New York City, San Francisco, São Paulo and Sydney. + +CPP Investments attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to: + + +Diverse and inspiring colleagues and approachable leaders +Stimulating work in a fast-paced, intellectually challenging environment +Accelerated exposure and responsibility +Global career development opportunities +Being motivated every day by CPP Investments’ important social purpose and unshakable principles +A flexible/hybrid work environment combining in office collaboration and remote working +A deeply rooted culture of Integrity, Partnership and High Performance + + +If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here’s an opportunity for you to invest your career at CPP Investments. + +Job Description + +Join CPPIB's Investment Science team and lead the transformation of investing through an increased usage of data and advanced analytical techniques such as machine learning. This role is ideal for a top performer passionate about alpha generation and interested in the intersection of finance, computer science, and mathematics. If you're eager to drive impactful investment decisions using empirical research and state-of-the-art methodologies, this opportunity is for you. As a Machine Learning Engineer, you'll be a key player in our data-driven initiatives, shaping the future of investment decision-making with innovative approaches. + +Investment Science’s initiatives encompass the development, enhancement, and systematization of investment decisions across various asset classes in both public and private markets. Our recent focus has been on driving critical decisions throughout the investing lifecycle, including capital allocation and security selection, using proprietary forecasts powered by advanced techniques such as machine learning, natural language processing, and generative AI. + +As a valued team member, you will collaborate with a diverse group of investors, researchers, and engineers. Your responsibilities will include leading or supporting the onboarding, engineering, and evaluation of new datasets; constructing and assessing predictive features; developing and implementing AI models and forecasts; and ensuring the productionalization and systematization of research outcomes and investment portfolios. + +The Opportunity + + +Develop and Enhance ML Models Build, improve, deploy, and maintain machine learning models to predict future fundamentals. Drive impact by leveraging and advancing AI/ML capabilities to enhance investment research and improve forecasting accuracy. +Advance Investment Research: Contribute to the development and application of investment research and frameworks, combining investing priors with data and advanced analytical techniques to solve key problems in the areas of capital allocation and security selection. +Alpha Generation: Apply an alpha generation mindset to data and feature engineering, prediction modeling, and portfolio construction. +Collaboration: Thrive in a fast-paced setting, working closely with investment professionals, researchers, engineers, and subject matter experts across the organization. + + +Qualifications + +Background: + + +Bachelor's or Master’s degree in Computer Science, Data Science, Statistics or related quantitative fields. +Two to three years of full-time experience. +Investment experience is an asset. Alternatively, strong demonstrated interest in investing and financial data and decision-making. + + +Core Technical + + +Exceptional programming skills are required, preferably in Python, but also open to C/C++, C#, or Java. +Experience developing, implementing, and deploying scalable ML models and pipelines in research and production environments, including experience with ML frameworks and libraries (e.g., scikit-learn). +Experience with big data processing frameworks such as PySpark is an asset. +NLP proficiency and/or experience utilizing LLMs/Foundation Models is advantageous. + + +Mindset + + +Demonstrated growth mindset and intellectual curiosity, with a passion for creating value for the Fund and continuously improving one’s technical capabilities (e.g., researching various AI techniques). +Strong critical thinking, analytical and problem-solving skills. +Excellent written and verbal communication skills, with an interest in developing people management and stakeholder influencing skills. +Ability to work & thrive in an entrepreneurial environment and be a self-starter. +Commitment to exemplifying CPP Investments' Guiding Principles of Integrity, Partnership, and High Performance. + + +Additional Information + +Visit our LinkedIn Career Page or Follow us on LinkedIn. + +At CPP Investments, we are committed to diversity and equitable access to employment opportunities based on ability. + +We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process. + +Our Commitment To Inclusion And Diversity + +In addition to being dedicated to building a workforce that reflects diverse talent, we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials, accessible meeting rooms, etc.), please let us know and we will work with you to meet your needs. + +Disclaimer + +CPP Investments does not accept resumes from employment placement agencies, head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered. CPP Investments will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information. + + +Show more ","
    + + + + + +
    +
    + Company Description

    Make an impact at a global and dynamic investment organization

    When you invest your career in CPP Investments, you join one of the most respected and fastest growing institutional investors in the world. With current assets under management valued in excess of $500 billion, CPP Investments is a professional investment management organization that globally invests the funds of the Canada Pension Plan (CPP) to help ensure long-term sustainability. The CPP Fund is projected to reach $3 trillion by 2050. CPP Investments invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and is headquartered in Toronto with offices in Hong Kong, London, Luxembourg, Mumbai, New York City, San Francisco, São Paulo and Sydney.

    CPP Investments attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to:

    • Diverse and inspiring colleagues and approachable leaders
    • Stimulating work in a fast-paced, intellectually challenging environment
    • Accelerated exposure and responsibility
    • Global career development opportunities
    • Being motivated every day by CPP Investments’ important social purpose and unshakable principles
    • A flexible/hybrid work environment combining in office collaboration and remote working
    • A deeply rooted culture of Integrity, Partnership and High Performance

    If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here’s an opportunity for you to invest your career at CPP Investments.

    Job Description

    Join CPPIB's Investment Science team and lead the transformation of investing through an increased usage of data and advanced analytical techniques such as machine learning. This role is ideal for a top performer passionate about alpha generation and interested in the intersection of finance, computer science, and mathematics. If you're eager to drive impactful investment decisions using empirical research and state-of-the-art methodologies, this opportunity is for you. As a Machine Learning Engineer, you'll be a key player in our data-driven initiatives, shaping the future of investment decision-making with innovative approaches.

    Investment Science’s initiatives encompass the development, enhancement, and systematization of investment decisions across various asset classes in both public and private markets. Our recent focus has been on driving critical decisions throughout the investing lifecycle, including capital allocation and security selection, using proprietary forecasts powered by advanced techniques such as machine learning, natural language processing, and generative AI.

    As a valued team member, you will collaborate with a diverse group of investors, researchers, and engineers. Your responsibilities will include leading or supporting the onboarding, engineering, and evaluation of new datasets; constructing and assessing predictive features; developing and implementing AI models and forecasts; and ensuring the productionalization and systematization of research outcomes and investment portfolios.

    The Opportunity

    • Develop and Enhance ML Models Build, improve, deploy, and maintain machine learning models to predict future fundamentals. Drive impact by leveraging and advancing AI/ML capabilities to enhance investment research and improve forecasting accuracy.
    • Advance Investment Research: Contribute to the development and application of investment research and frameworks, combining investing priors with data and advanced analytical techniques to solve key problems in the areas of capital allocation and security selection.
    • Alpha Generation: Apply an alpha generation mindset to data and feature engineering, prediction modeling, and portfolio construction.
    • Collaboration: Thrive in a fast-paced setting, working closely with investment professionals, researchers, engineers, and subject matter experts across the organization.

    Qualifications

    Background:

    • Bachelor's or Master’s degree in Computer Science, Data Science, Statistics or related quantitative fields.
    • Two to three years of full-time experience.
    • Investment experience is an asset. Alternatively, strong demonstrated interest in investing and financial data and decision-making.

    Core Technical

    • Exceptional programming skills are required, preferably in Python, but also open to C/C++, C#, or Java.
    • Experience developing, implementing, and deploying scalable ML models and pipelines in research and production environments, including experience with ML frameworks and libraries (e.g., scikit-learn).
    • Experience with big data processing frameworks such as PySpark is an asset.
    • NLP proficiency and/or experience utilizing LLMs/Foundation Models is advantageous.

    Mindset

    • Demonstrated growth mindset and intellectual curiosity, with a passion for creating value for the Fund and continuously improving one’s technical capabilities (e.g., researching various AI techniques).
    • Strong critical thinking, analytical and problem-solving skills.
    • Excellent written and verbal communication skills, with an interest in developing people management and stakeholder influencing skills.
    • Ability to work & thrive in an entrepreneurial environment and be a self-starter.
    • Commitment to exemplifying CPP Investments' Guiding Principles of Integrity, Partnership, and High Performance.

    Additional Information

    Visit our LinkedIn Career Page or Follow us on LinkedIn.

    At CPP Investments, we are committed to diversity and equitable access to employment opportunities based on ability.

    We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.

    Our Commitment To Inclusion And Diversity

    In addition to being dedicated to building a workforce that reflects diverse talent, we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials, accessible meeting rooms, etc.), please let us know and we will work with you to meet your needs.

    Disclaimer

    CPP Investments does not accept resumes from employment placement agencies, head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered. CPP Investments will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3995405301,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-akkodis-3995405301?position=48&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=4NItttslga0YmOO7jZ9znQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Akkodis,"Montreal, Quebec, Canada","Intitulé du poste : Ingénieur en apprentissage automatique - Montréal/hybride + + + + +À propos de la société : + +Notre client est une compagnie pionnière dans le domaine des technologies du voyage, à la recherche d'un ingénieur en apprentissage automatique spécialisé dans les PRÉDICTIONS TABULAIRES et les grands modèles de langage (LLM). + + + + +C'est une compagnie en pleine croissance qui aide les créateurs de contenu à mieux monétiser leur contenu tout en améliorant l'expérience globale de leurs utilisateurs finaux grâce à différentes solutions innovantes qui facilitent la recherche de services liés au voyage. + + + + +Pourquoi les rejoindre : + + + + +Révolutionner la façon dont nous réservons des voyages, en utilisant le ML et l'IA pour développer de nouvelles solutions pour aider les créateurs de contenu à monétiser leur contenu. +Une croissance rapide signifie des opportunités de croissance. +Code vestimentaire « venez comme vous êtes », horaires de travail personnalisés… +Avantages sociaux, dentaires, opportunités d'apprentissage et de développement, activités sociales et de consolidation d'équipe, y compris un REER collectif sympa… + + + + +Principales responsabilités : + +Expertise en apprentissage automatique pour les PRÉDICTIONS TABULAIRES : + + + + +Solide expérience en apprentissage automatique, en particulier dans le développement de modèles de prévision et de prédiction basés sur des données tabulaires. +Maîtrise de Python et familiarité avec les bibliothèques ML (par exemple, scikit-learn, TensorFlow, PyTorch) pour le développement et l'évaluation de modèles. +Expérience dans la manipulation et la visualisation de données avec des outils comme pandas, matplotlib et seaborn pour tirer des enseignements des données. +Compétences dans l'utilisation de plates-formes d'apprentissage automatique en tant que service telles que Google Vertex AI ou Amazon SageMaker pour la formation, le déploiement et la gestion de modèles, en mettant l'accent sur la rentabilité et l'évolutivité. + + + + + + + +Modèles LLM : + + + + +Connaissance des modèles des LLM et de leur application dans la génération d'informations et l'amélioration des prévisions via l'ingénierie des fonctionnalités. +Expérience avec GPT d'OpenAI et Gemini de Google et parmi d'autres LLM de premier plan, leur tarification, la différence de tokenisation et d'autres particularités. +Familiarité avec l'ingénierie rapide et savoir quand faire plutôt une version affinée du LLM. +Comprend comment collecter des données pour un réglage précis de manière évolutive. +Bonus pour la création et le déploiement de LLM personnalisés, de transformateurs extravagants ou l'utilisation d'intégrations et de vecteurs personnalisés. + + + + + + + +Science des données et analyse statistique : + + + + +Solide compréhension des statistiques et des techniques d'analyse de données. +Expérience dans la manipulation, le nettoyage et l'analyse de grands ensembles de données pour obtenir des informations exploitables. +Capacité à communiquer des résultats de données complexes de manière claire et efficace. +Comprend ce qui motive nos utilisateurs, nos mesures phares et comment optimiser cela. + + + + + + + +Autonomie et innovation dans les projets ML : + + + + +Capacité démontrée à diriger des projets ML de la conception au déploiement. +Autodidacte avec une expérience en résolution de problèmes et en gestion de projets innovants. +Ouverture à l'exploration et à la mise en œuvre des dernières technologies et méthodologies ML et capacité à saisir et à apprendre de nouvelles choses au fur et à mesure. + + + + +Collaboration interdisciplinaire : + + + + +Capacité à travailler en étroite collaboration avec les équipes d'ingénierie, de produits et commerciales pour intégrer les solutions ML dans l'écosystème de produits plus large. +Solides compétences en communication et capacité à traduire des concepts techniques en valeur commerciale. +Notre pile est principalement en NodeJS et Python, donc la familiarité et la capacité à déployer et à surveiller sont essentielles. + + + + +Exigences : + +Diplôme pertinent ou expérience équivalente en apprentissage automatique, en informatique ou dans un domaine connexe. +Projets ou contributions démontrables appliquant ML. + +Show more ","
    + + + + + +
    +
    +

    Intitulé du poste : Ingénieur en apprentissage automatique - Montréal/hybride


    À propos de la société :

    Notre client est une compagnie pionnière dans le domaine des technologies du voyage, à la recherche d'un ingénieur en apprentissage automatique spécialisé dans les PRÉDICTIONS TABULAIRES et les grands modèles de langage (LLM).


    C'est une compagnie en pleine croissance qui aide les créateurs de contenu à mieux monétiser leur contenu tout en améliorant l'expérience globale de leurs utilisateurs finaux grâce à différentes solutions innovantes qui facilitent la recherche de services liés au voyage.


    Pourquoi les rejoindre :


    • Révolutionner la façon dont nous réservons des voyages, en utilisant le ML et l'IA pour développer de nouvelles solutions pour aider les créateurs de contenu à monétiser leur contenu.
    • Une croissance rapide signifie des opportunités de croissance.
    • Code vestimentaire « venez comme vous êtes », horaires de travail personnalisés…
    • Avantages sociaux, dentaires, opportunités d'apprentissage et de développement, activités sociales et de consolidation d'équipe, y compris un REER collectif sympa…


    Principales responsabilités :

    Expertise en apprentissage automatique pour les PRÉDICTIONS TABULAIRES :


    • Solide expérience en apprentissage automatique, en particulier dans le développement de modèles de prévision et de prédiction basés sur des données tabulaires.
    • Maîtrise de Python et familiarité avec les bibliothèques ML (par exemple, scikit-learn, TensorFlow, PyTorch) pour le développement et l'évaluation de modèles.
    • Expérience dans la manipulation et la visualisation de données avec des outils comme pandas, matplotlib et seaborn pour tirer des enseignements des données.
    • Compétences dans l'utilisation de plates-formes d'apprentissage automatique en tant que service telles que Google Vertex AI ou Amazon SageMaker pour la formation, le déploiement et la gestion de modèles, en mettant l'accent sur la rentabilité et l'évolutivité.



    Modèles LLM :


    • Connaissance des modèles des LLM et de leur application dans la génération d'informations et l'amélioration des prévisions via l'ingénierie des fonctionnalités.
    • Expérience avec GPT d'OpenAI et Gemini de Google et parmi d'autres LLM de premier plan, leur tarification, la différence de tokenisation et d'autres particularités.
    • Familiarité avec l'ingénierie rapide et savoir quand faire plutôt une version affinée du LLM.
    • Comprend comment collecter des données pour un réglage précis de manière évolutive.
    • Bonus pour la création et le déploiement de LLM personnalisés, de transformateurs extravagants ou l'utilisation d'intégrations et de vecteurs personnalisés.



    Science des données et analyse statistique :


    • Solide compréhension des statistiques et des techniques d'analyse de données.
    • Expérience dans la manipulation, le nettoyage et l'analyse de grands ensembles de données pour obtenir des informations exploitables.
    • Capacité à communiquer des résultats de données complexes de manière claire et efficace.
    • Comprend ce qui motive nos utilisateurs, nos mesures phares et comment optimiser cela.



    Autonomie et innovation dans les projets ML :


    • Capacité démontrée à diriger des projets ML de la conception au déploiement.
    • Autodidacte avec une expérience en résolution de problèmes et en gestion de projets innovants.
    • Ouverture à l'exploration et à la mise en œuvre des dernières technologies et méthodologies ML et capacité à saisir et à apprendre de nouvelles choses au fur et à mesure.


    Collaboration interdisciplinaire :


    • Capacité à travailler en étroite collaboration avec les équipes d'ingénierie, de produits et commerciales pour intégrer les solutions ML dans l'écosystème de produits plus large.
    • Solides compétences en communication et capacité à traduire des concepts techniques en valeur commerciale.
    • Notre pile est principalement en NodeJS et Python, donc la familiarité et la capacité à déployer et à surveiller sont essentielles.


    Exigences :

    • Diplôme pertinent ou expérience équivalente en apprentissage automatique, en informatique ou dans un domaine connexe.
    • Projets ou contributions démontrables appliquant ML.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3979761151,https://ca.linkedin.com/jobs/view/senior-data-scientist-applied-ai-at-brex-3979761151?position=50&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=S6JUY6hPgUQH%2F2dy7ZkuVg%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Data Scientist, Applied AI",Brex,"Vancouver, British Columbia, Canada","Why join us + +Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. + +Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. + +Engineering at Brex + +The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential. + +Applied AI at Brex + +As part of Brex’s AI team, Applied AI leverages cutting-edge AI/ML techniques to empower automation solutions in Brex’s spend management offering, working closely with Product, Design, and Engineering teams. + +What You’ll Do + +The Applied AI team drives for a more streamlined experience for our customers via AI/ML automations. We are looking for a strong Data Scientist to join our nimble and effective team. You will be responsible for the full cycle of work from ideation, research, and development to production and further improvements, working both strategically and tactically with cross-functional stakeholders to balance priority and delivery. + +Responsibilities + + +Design and implement spend management related solutions with ML and AI techniques +Partner closely with Product Managers, Designers, and Engineers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process +Consult and educate internal teams on current and up-and-coming research, technologies, and best practices of leveraging ML and LLM in product design and development +Work closely with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering + + +Requirements + + +4+ years of industry experience developing optimization models that drive business impact +Passion for delivering data-driven solutions leveraging data, ML, and AI +M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field +Familiarity with programming languages (e.g. Python) and machine learning libraries (e.g. SciKit Learn) +Deep understanding of natural language processing techniques +Experience in overall big data analysis and system-backed integration with ML/LLM system/solution +Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inference +Experience productionizing and A/B testing different machine learning models +Must be willing to work in office 2 days per week on Wednesday and Thursday + + +Bonus points + + +Experience leveraging commercial or open source LLM APIs to build solutions, such as OpenAI or llama +Experience in the finance industry + + +Compensation + +The expected salary range for this role is $176,800 CAD - $221,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. + +Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored. +Show more ","
    + + + + + +
    +
    + Why join us

    Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.

    Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

    Engineering at Brex

    The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential.

    Applied AI at Brex

    As part of Brex’s AI team, Applied AI leverages cutting-edge AI/ML techniques to empower automation solutions in Brex’s spend management offering, working closely with Product, Design, and Engineering teams.

    What You’ll Do

    The Applied AI team drives for a more streamlined experience for our customers via AI/ML automations. We are looking for a strong Data Scientist to join our nimble and effective team. You will be responsible for the full cycle of work from ideation, research, and development to production and further improvements, working both strategically and tactically with cross-functional stakeholders to balance priority and delivery.

    Responsibilities

    • Design and implement spend management related solutions with ML and AI techniques
    • Partner closely with Product Managers, Designers, and Engineers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process
    • Consult and educate internal teams on current and up-and-coming research, technologies, and best practices of leveraging ML and LLM in product design and development
    • Work closely with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering

    Requirements

    • 4+ years of industry experience developing optimization models that drive business impact
    • Passion for delivering data-driven solutions leveraging data, ML, and AI
    • M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
    • Familiarity with programming languages (e.g. Python) and machine learning libraries (e.g. SciKit Learn)
    • Deep understanding of natural language processing techniques
    • Experience in overall big data analysis and system-backed integration with ML/LLM system/solution
    • Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inference
    • Experience productionizing and A/B testing different machine learning models
    • Must be willing to work in office 2 days per week on Wednesday and Thursday

    Bonus points

    • Experience leveraging commercial or open source LLM APIs to build solutions, such as OpenAI or llama
    • Experience in the finance industry

    Compensation

    The expected salary range for this role is $176,800 CAD - $221,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

    Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4006251959,https://ca.linkedin.com/jobs/view/data-scientist-at-atlantis-it-group-4006251959?position=51&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=JGcJ%2FSN6fgGjuRd%2B75OC3w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Atlantis IT Group,"Mississauga, Ontario, Canada","Role name: Developer + +Role Description: Ability to lead on GCP team and Extensive experience in managing and leading Data Engineer team .Responsible & accountable for doing high level and detailed technical design and solution. Developing data ingestion framework for different sources Strong migration experience of Hadoop cluster to Google Cloud + +Competencies: Digital : BigData and Hadoop Ecosystem - MapR, Digital : Google Data Engineering + +Experience (Years): 8-10 + +Essential Skills: Combination of technical expertise, hands-on experience with data science tools and methodologies, familiarity with cloud technologies, and the ability to drive impactful insights from data. Ability to work with Data Engineer and recommend suggestion to pipeline changes for staging strategy for technical critical (pipeline performance, data model, scheduler arrangement for data availability). + +Desirable Skills: Certified as Professional Data Engineer - GCP will be addition .Python & PySpark + +Show more ","
    + + + + + +
    +
    +

    Role name: Developer

    Role Description: Ability to lead on GCP team and Extensive experience in managing and leading Data Engineer team .Responsible & accountable for doing high level and detailed technical design and solution. Developing data ingestion framework for different sources Strong migration experience of Hadoop cluster to Google Cloud

    Competencies: Digital : BigData and Hadoop Ecosystem - MapR, Digital : Google Data Engineering

    Experience (Years): 8-10

    Essential Skills: Combination of technical expertise, hands-on experience with data science tools and methodologies, familiarity with cloud technologies, and the ability to drive impactful insights from data. Ability to work with Data Engineer and recommend suggestion to pipeline changes for staging strategy for technical critical (pipeline performance, data model, scheduler arrangement for data availability).

    Desirable Skills: Certified as Professional Data Engineer - GCP will be addition .Python & PySpark

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4006359753,https://ca.linkedin.com/jobs/view/data-scientist-1-at-providence-health-care-4006359753?position=53&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=TyMpkvT%2F3tC5Njky9TrM3g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist 1,Providence Health Care,"Vancouver, British Columbia, Canada","The salary range for this position is CAD $38.12/Hr. - CAD $54.80/Hr. + +Providence Health Care is now accepting applications for a Data Scientist to join our team. + +Reporting to the Senior Manager, Advanced Modeling & Optimization, the Data Scientist I works as part of a team to analyze structured and unstructured data, model complex problems, and identify opportunities for process and product optimization by using statistical, algorithmic, mining, and visual techniques. This role assists in developing machine learning (ML) predictive and prescriptive analytics models through the innovative understanding and use of large data sets and the verification of effectiveness to improve clinical processes and patient outcomes. The Data Scientist I supports Providence Health Care (PHC) strategic priorities by understanding the clinical, financial, and operational issues to be solved and working closely with stakeholders, clinical and technical experts, and functional teams to leverage knowledge, interpret outputs, deploy solutions, and provide actionable insights. The role also assists in developing a solid and sustainable machine learning foundation and competency for PHC. + +Your duties will include + + +Data Science and ML Model Development Design, build, and implement data science and machine learning models to identify patterns, trends, and opportunities, collaborating with clinical and management teams to improve various clinical domains. +Data Integration and Preparation Identify, clean, and integrate large datasets from disparate sources, enhance data collection procedures, and provide input on data quality for applications and systems. +Advanced Modeling and Analytics Work with the Advanced Modeling & Optimization team to develop predictive and prescriptive analytic models, analyze and deploy data science models on cloud environments (Azure/AWS), and provide strategic recommendations to management. +Stakeholder Collaboration and AI Product Development Collaborate with stakeholders to develop and implement AI products aligned with PHC's strategic priorities, improve AI product performance, and stay updated with the latest technology trends and methods. + + + +Education + +A Masters' Degree in Mathematics, Statistics, Computer Science, Engineering or other quantitative degree is required plus one (1) years' experience working with large datasets and machine learning models including experience using statistical and data mining techniques, and distributed data/computing tools; writing computer code; querying databases; and using statistical computer languages, or an equivalent combination of education, training and experience. + +Skills And Abilities + + +Knowledge of supervised machine learning, decision trees, and logistic regression. +Display comprehensive understanding of, and skills using, statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, network analysis, simulation, scenario analysis, and clustering analysis. +Demonstrated ability to perform analytical functions and transform database structures including creating datasets and writing computer code to execute complex queries using statistical computer languages such as Python, R, and SQL. +Demonstrated proficiency working with large volumes of data across multiple servers using distributed data/computing tools such as Hadoop, Spark, MySQL, AWS, etc. +Demonstrated proficiency working with both relational (SQL) and non-relational databases (NoSQL). +Demonstrated understanding of data privacy, security and related tools such as anonymization and encryption +Demonstrated ability to use Azure/AWS cloud resources. +Demonstrated skills in using data visualization tools (such as Tableau, Power BI, Matplotlib, D3, ggplot) and to visually present complex data to stakeholders for consideration. +Excellent oral and written communication skills and ability to clearly and fluently translate technical findings to non-technical partners and to communicate to multiple audiences using data storytelling and through graphics. +Demonstrated ability to work collaboratively in an interdisciplinary environment and to develop recommendations using facilitation and consensus building. +Strong analytical, critical thinking, and evaluation skills to discern and help solve the important problems facing health care, to identify new ways to leverage our data, and to direct efforts in the right direction. +Competitive salary $74,618 - $107,264 CAD per year, depending on experience +Comprehensive benefits Eligible employees receive a robust medical and dental benefits package, including 4 weeks paid vacation starting. +Pension plan Work towards a comfortable retirement through employer-matched contributions to one of Canada's strongest pension plans! +Meaningful impact Your dedication and expertise will directly impact the lives of patients, including many from marginalized communities, helping contribute to the public healthcare system we're privileged to have here in BC. +Growth opportunities We welcome individuals at all stages of their career, offering opportunities for professional development and growth. +State-of-the-art facilities  The new St. Paul’s Hospital and health campus will be the most innovative approach to the delivery of integrated care in B.C. and Canada, designed to appropriately address the future health needs of patients, families and our communities. From hospital care to primary and community health solutions, the new St. Paul’s Hospital and health campus will continue to lead innovations in care, research, and teaching. The new St. Paul’s Hospital is expected to open in 2027. +Inclusive culture We respect the diversity, dignity and interdependence of all persons. We value the cultural richness that our diverse workforce brings to the care of our equally diverse population of patients and residents. + + + +Who we are + +Providence is a non-profit healthcare provider with over fifteen sites, including a large tertiary hospital in the heart of Vancouver’s beautiful and vibrant Downtown, a smaller community hospital in the idyllic Mount Pleasant neighborhood, one of the largest referral centres for rehabilitation in British Columbia, and five long-term care facilities, as well as other clinics. + +As a leading teaching and research organization, and the provincial referral center for Cardiac, HIV/AIDS, and Renal Care, we provide services ranging from acute and long-term care to leading substance use and addiction treatment supporting some of BC’s most marginalized communities. Guided by the motto “how you want to be treated”, delivering exceptional patient and family-centered care is our mission. + +Curious about working at PHC and our culture? Check out the video below to learn more and meet some of the members of the team you'd be joining + +Your Day to Day + + +Designs, builds and implements data science and machine learning models by working as part of the Advanced Modeling & Optimization team and with clinical management and staff, project/program managers, and members of the health informatics team. Identify patterns, trends, and opportunities to assist in making predictions or reducing workload that will have a significant impact across various clinical domains within PHC. +Identifies, cleans, and integrates large sets of structured and unstructured datasets from disparate sources for use in ML models and products. Enhances data collection procedures to include information that is relevant for building advanced ML models. Provides input to applications, databases, and systems used to assess study data quality. +Works as part of the Advanced Modeling & Optimization team to use advanced ML processes to convert data from non-functional forms, such as scanned image text, to functional forms ready for use in further ML models. +Assists in analyzing, testing, and deploying data science models and applications on cloud environment (Azure/AWS). +Assists in developing predictive and prescriptive analytic models and reports in support of the organization's clinical and business initiatives and priorities by working as part of the Advanced Modeling & Optimization team to apply advanced statistical and computational methods and innovative use of data, collaborate with Developers in the construction of analytic models, and maintain detailed project status plans to achieve ML development cycle timelines and avoid development delays. +Works with other members of the Advanced Modeling & Optimization team to assist with recommendations to management regarding strategic actions to maintain the ML development pipeline, analytic architectures, and life cycle, to avoid potential negative consequences and system failures, and to increase the positive impacts of ML systems. +Works closely with clinical and management teams across PHC to strategize, develop, and implement artificial intelligence (AI) products that translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies, and process improvements. +Identifies, engages, and collaborates with specific stakeholders as required for the development of AI products designed around PHC's strategic priorities and clinical/business problems. Assesses and implements improvements to AI products as needed and creates anomaly detection systems to track performance and data accuracy. +Keeps up-to-date with the latest technology trends and methods by staying abreast of state-of-the-art literature in the fields of data science, operations research, and artificial intelligence. +Performs other related duties as required. + + + +We acknowledge that Providence Health Care and the new St. Paul’s Hospital site is located on the traditional, ancestral, and unceded territory of the Coast Salish Peoples, including the territories of the xʷməθkwəy̓əm (Musqueam), Skwxwú7mesh (Squamish), and Səl̓ílwətaʔ/Selilwitulh (Tsleil-Waututh) Nations. +Show more ","
    + + + + + +
    +
    + The salary range for this position is CAD $38.12/Hr. - CAD $54.80/Hr.

    Providence Health Care is now accepting applications for a Data Scientist to join our team.

    Reporting to the Senior Manager, Advanced Modeling & Optimization, the Data Scientist I works as part of a team to analyze structured and unstructured data, model complex problems, and identify opportunities for process and product optimization by using statistical, algorithmic, mining, and visual techniques. This role assists in developing machine learning (ML) predictive and prescriptive analytics models through the innovative understanding and use of large data sets and the verification of effectiveness to improve clinical processes and patient outcomes. The Data Scientist I supports Providence Health Care (PHC) strategic priorities by understanding the clinical, financial, and operational issues to be solved and working closely with stakeholders, clinical and technical experts, and functional teams to leverage knowledge, interpret outputs, deploy solutions, and provide actionable insights. The role also assists in developing a solid and sustainable machine learning foundation and competency for PHC.

    Your duties will include

    • Data Science and ML Model Development Design, build, and implement data science and machine learning models to identify patterns, trends, and opportunities, collaborating with clinical and management teams to improve various clinical domains.
    • Data Integration and Preparation Identify, clean, and integrate large datasets from disparate sources, enhance data collection procedures, and provide input on data quality for applications and systems.
    • Advanced Modeling and Analytics Work with the Advanced Modeling & Optimization team to develop predictive and prescriptive analytic models, analyze and deploy data science models on cloud environments (Azure/AWS), and provide strategic recommendations to management.
    • Stakeholder Collaboration and AI Product Development Collaborate with stakeholders to develop and implement AI products aligned with PHC's strategic priorities, improve AI product performance, and stay updated with the latest technology trends and methods.


    Education

    A Masters' Degree in Mathematics, Statistics, Computer Science, Engineering or other quantitative degree is required plus one (1) years' experience working with large datasets and machine learning models including experience using statistical and data mining techniques, and distributed data/computing tools; writing computer code; querying databases; and using statistical computer languages, or an equivalent combination of education, training and experience.

    Skills And Abilities

    • Knowledge of supervised machine learning, decision trees, and logistic regression.
    • Display comprehensive understanding of, and skills using, statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, network analysis, simulation, scenario analysis, and clustering analysis.
    • Demonstrated ability to perform analytical functions and transform database structures including creating datasets and writing computer code to execute complex queries using statistical computer languages such as Python, R, and SQL.
    • Demonstrated proficiency working with large volumes of data across multiple servers using distributed data/computing tools such as Hadoop, Spark, MySQL, AWS, etc.
    • Demonstrated proficiency working with both relational (SQL) and non-relational databases (NoSQL).
    • Demonstrated understanding of data privacy, security and related tools such as anonymization and encryption
    • Demonstrated ability to use Azure/AWS cloud resources.
    • Demonstrated skills in using data visualization tools (such as Tableau, Power BI, Matplotlib, D3, ggplot) and to visually present complex data to stakeholders for consideration.
    • Excellent oral and written communication skills and ability to clearly and fluently translate technical findings to non-technical partners and to communicate to multiple audiences using data storytelling and through graphics.
    • Demonstrated ability to work collaboratively in an interdisciplinary environment and to develop recommendations using facilitation and consensus building.
    • Strong analytical, critical thinking, and evaluation skills to discern and help solve the important problems facing health care, to identify new ways to leverage our data, and to direct efforts in the right direction.
    • Competitive salary $74,618 - $107,264 CAD per year, depending on experience
    • Comprehensive benefits Eligible employees receive a robust medical and dental benefits package, including 4 weeks paid vacation starting.
    • Pension plan Work towards a comfortable retirement through employer-matched contributions to one of Canada's strongest pension plans!
    • Meaningful impact Your dedication and expertise will directly impact the lives of patients, including many from marginalized communities, helping contribute to the public healthcare system we're privileged to have here in BC.
    • Growth opportunities We welcome individuals at all stages of their career, offering opportunities for professional development and growth.
    • State-of-the-art facilities  The new St. Paul’s Hospital and health campus will be the most innovative approach to the delivery of integrated care in B.C. and Canada, designed to appropriately address the future health needs of patients, families and our communities. From hospital care to primary and community health solutions, the new St. Paul’s Hospital and health campus will continue to lead innovations in care, research, and teaching. The new St. Paul’s Hospital is expected to open in 2027.
    • Inclusive culture We respect the diversity, dignity and interdependence of all persons. We value the cultural richness that our diverse workforce brings to the care of our equally diverse population of patients and residents.


    Who we are

    Providence is a non-profit healthcare provider with over fifteen sites, including a large tertiary hospital in the heart of Vancouver’s beautiful and vibrant Downtown, a smaller community hospital in the idyllic Mount Pleasant neighborhood, one of the largest referral centres for rehabilitation in British Columbia, and five long-term care facilities, as well as other clinics.

    As a leading teaching and research organization, and the provincial referral center for Cardiac, HIV/AIDS, and Renal Care, we provide services ranging from acute and long-term care to leading substance use and addiction treatment supporting some of BC’s most marginalized communities. Guided by the motto “how you want to be treated”, delivering exceptional patient and family-centered care is our mission.

    Curious about working at PHC and our culture? Check out the video below to learn more and meet some of the members of the team you'd be joining

    Your Day to Day

    • Designs, builds and implements data science and machine learning models by working as part of the Advanced Modeling & Optimization team and with clinical management and staff, project/program managers, and members of the health informatics team. Identify patterns, trends, and opportunities to assist in making predictions or reducing workload that will have a significant impact across various clinical domains within PHC.
    • Identifies, cleans, and integrates large sets of structured and unstructured datasets from disparate sources for use in ML models and products. Enhances data collection procedures to include information that is relevant for building advanced ML models. Provides input to applications, databases, and systems used to assess study data quality.
    • Works as part of the Advanced Modeling & Optimization team to use advanced ML processes to convert data from non-functional forms, such as scanned image text, to functional forms ready for use in further ML models.
    • Assists in analyzing, testing, and deploying data science models and applications on cloud environment (Azure/AWS).
    • Assists in developing predictive and prescriptive analytic models and reports in support of the organization's clinical and business initiatives and priorities by working as part of the Advanced Modeling & Optimization team to apply advanced statistical and computational methods and innovative use of data, collaborate with Developers in the construction of analytic models, and maintain detailed project status plans to achieve ML development cycle timelines and avoid development delays.
    • Works with other members of the Advanced Modeling & Optimization team to assist with recommendations to management regarding strategic actions to maintain the ML development pipeline, analytic architectures, and life cycle, to avoid potential negative consequences and system failures, and to increase the positive impacts of ML systems.
    • Works closely with clinical and management teams across PHC to strategize, develop, and implement artificial intelligence (AI) products that translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies, and process improvements.
    • Identifies, engages, and collaborates with specific stakeholders as required for the development of AI products designed around PHC's strategic priorities and clinical/business problems. Assesses and implements improvements to AI products as needed and creates anomaly detection systems to track performance and data accuracy.
    • Keeps up-to-date with the latest technology trends and methods by staying abreast of state-of-the-art literature in the fields of data science, operations research, and artificial intelligence.
    • Performs other related duties as required.


    We acknowledge that Providence Health Care and the new St. Paul’s Hospital site is located on the traditional, ancestral, and unceded territory of the Coast Salish Peoples, including the territories of the xʷməθkwəy̓əm (Musqueam), Skwxwú7mesh (Squamish), and Səl̓ílwətaʔ/Selilwitulh (Tsleil-Waututh) Nations. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4001826698,https://ca.linkedin.com/jobs/view/clinical-scientist-at-myant-4001826698?position=55&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=5cWpnAXY2EfY27l1KIqwJQ%3D%3D&trk=public_jobs_jserp-result_search-card,Clinical Scientist,Myant,"Mississauga, Ontario, Canada","About Us: + +At Myant, we are creating the world’s first expressive and continuous digital presence platform, enabled by integrating technology directly into clothing and augmented by other devices, wearables, and IOT. We see the evolution of society where every member gets to participate from anywhere and anytime through a whole-body experience, mostly in a passive or ambient manner to foster ubiquitous accessibility. Humans have a fundamental desire and need to be connected to our environment, family, community and technology. This level of connection will create a paradigm shift in the way we deal with each other, especially from afar, allowing for more meaningful relationships, and more in-depth representation of ourselves. + +The need for this type of connection is not new. There are many companies working on ways to connect humans in singularity with technology, however most of these technologies are based on devices that are often used in episodical ways hence, leading to poor adoption or reliability. In general, innovation and technology have delivered significant benefits for many members of society however, there are those who are left behind, namely the very young, the marginalized, the old and the sick. The challenge of inclusion for those left behind requires us to move beyond device focused strategies, towards an interface that we use naturally, every day. We believe that textile is that primary interface, used in clothing, coverings, carpeting and more, we wear and are surrounded by textiles universally, at all times. + +Such an interface could fuse data with other devices that we use periodically and data with other IoTs in the environment. People could then leverage their physical presence over their digital presence to communicate and share personal wellbeing. This could unlock healthcare that is proactive and preventative, social connectedness that is more profound, enable care distribution models to be seamless and on demand, better fitness insights, safer working environments and more. + +The vision for SKIIN -our first consumer-facing brand- is to enhance human ability through connected clothing and textiles. Skiin is in beta-phase market launch and has been recently granted Health Canada medical device license and submitted to FDA for regulatory approval in the US market. The sensors and actuators embedded within our apparel create your Digital Identity, which will be consumed by those who matter to you - your family members, physicians, trainers, other IoT devices - without you consciously having to think about it. The line between the digital and physical world is becoming increasingly blurry and we believe textile is the next medium to bridge that gap. + +We are a multi-disciplinary technology team solving big challenges at the intersection of fashion, electronics, software, and data science. + +The Role: + +We are seeking a highly motivated and versatile clinical scientist to join the Clinical Sciences team of the Science and Technology department. The successful candidate will have the opportunity to contribute to ideation, high-level design, and then testing of medical device prototypes based on e-textiles. + +To be successful, the candidate must have a strong background in interacting and collecting data with real-world patients of diverse medical conditions, a perfect mastering of the scientific method and knowledge of the clinical trial methodologies (quantitative, qualitative, and mixed methods), and experience in the redaction of scientific reports and papers. + +Experience with bio-signals and/or low-power wearable systems would be an important asset. Applicants should have a keen eye for solving problems that currently do not have well defined solutions and be able to rapidly design/prototype these ideas. + +The successful candidate will join a multidisciplinary team of scientists, engineers, textile experts, fashion designers and entrepreneurs to actively participate in the creation and optimization of new products and should be able to effectively work in multi-disciplinary teams. + +Responsibilities: + + +Research, design, and test for the development of the next generation of smart textiles +Rapid ideation, implementation, and validation of biosignal measuring methods and/or devices +Work closely with a variety of people/teams with different disciplines (mechanical, firmware, data science, software, industrial design, textile, quality assurance, regulatory) and mutually educate each other to allow effective teamwork +Aid in the testing of prototypes and debug issues on the fly +Conducting research and designing protocols to study the attitude towards Myant product and any resulting behavior change +Integrating the Myant products in the care relationship +Capturing user perspectives from elderly, health care professionals, and other adults with and without health conditions +Write, edit, and amend protocol for internal and external testing, in accordance with company's quality control policy and with Research Ethics Board, respectively +Maintain fluid and productive relationships with partners (universities, start-ups, corporations) +Coordinating clinical studies in partnership with other institutions +Participating in Conferences, Webinars and sharing the experience with other teams +Developing and updating the Standard Operating Procedures and forms relevant to the Clinical Sciences team, in partnership with the regulatory team + + +Qualifications: + + +PhD in a field related to Clinical Sciences +Background in Physiotherapy/physical therapy/kinesiology or related discipline is an asset +2-5 years of clinical experience, particularly in geriatric and/or cardiology care +Strong analytical, problem solving, and leadership capabilities +Ability to contribute and work effectively in a fast-paced, multidisciplinary environment +Understanding of biosignals and signal processing techniques would be an important asset + + +What we offer at Myant: + + +Free SKIIN Employee Kit +Employee stock options +Paid Sick Days and Personal Days +Group Health Insurance Plan +Employee Referral Program +Corporate Events +Exposure working in one of the most innovative and forward-thinking start-ups that is passionate and dedicated towards the healthcare industry + + +Powered by JazzHR + +wnKHEe5mFt +Show more ","
    + + + + + +
    +
    + About Us:

    At Myant, we are creating the world’s first expressive and continuous digital presence platform, enabled by integrating technology directly into clothing and augmented by other devices, wearables, and IOT. We see the evolution of society where every member gets to participate from anywhere and anytime through a whole-body experience, mostly in a passive or ambient manner to foster ubiquitous accessibility. Humans have a fundamental desire and need to be connected to our environment, family, community and technology. This level of connection will create a paradigm shift in the way we deal with each other, especially from afar, allowing for more meaningful relationships, and more in-depth representation of ourselves.

    The need for this type of connection is not new. There are many companies working on ways to connect humans in singularity with technology, however most of these technologies are based on devices that are often used in episodical ways hence, leading to poor adoption or reliability. In general, innovation and technology have delivered significant benefits for many members of society however, there are those who are left behind, namely the very young, the marginalized, the old and the sick. The challenge of inclusion for those left behind requires us to move beyond device focused strategies, towards an interface that we use naturally, every day. We believe that textile is that primary interface, used in clothing, coverings, carpeting and more, we wear and are surrounded by textiles universally, at all times.

    Such an interface could fuse data with other devices that we use periodically and data with other IoTs in the environment. People could then leverage their physical presence over their digital presence to communicate and share personal wellbeing. This could unlock healthcare that is proactive and preventative, social connectedness that is more profound, enable care distribution models to be seamless and on demand, better fitness insights, safer working environments and more.

    The vision for SKIIN -our first consumer-facing brand- is to enhance human ability through connected clothing and textiles. Skiin is in beta-phase market launch and has been recently granted Health Canada medical device license and submitted to FDA for regulatory approval in the US market. The sensors and actuators embedded within our apparel create your Digital Identity, which will be consumed by those who matter to you - your family members, physicians, trainers, other IoT devices - without you consciously having to think about it. The line between the digital and physical world is becoming increasingly blurry and we believe textile is the next medium to bridge that gap.

    We are a multi-disciplinary technology team solving big challenges at the intersection of fashion, electronics, software, and data science.

    The Role:

    We are seeking a highly motivated and versatile clinical scientist to join the Clinical Sciences team of the Science and Technology department. The successful candidate will have the opportunity to contribute to ideation, high-level design, and then testing of medical device prototypes based on e-textiles.

    To be successful, the candidate must have a strong background in interacting and collecting data with real-world patients of diverse medical conditions, a perfect mastering of the scientific method and knowledge of the clinical trial methodologies (quantitative, qualitative, and mixed methods), and experience in the redaction of scientific reports and papers.

    Experience with bio-signals and/or low-power wearable systems would be an important asset. Applicants should have a keen eye for solving problems that currently do not have well defined solutions and be able to rapidly design/prototype these ideas.

    The successful candidate will join a multidisciplinary team of scientists, engineers, textile experts, fashion designers and entrepreneurs to actively participate in the creation and optimization of new products and should be able to effectively work in multi-disciplinary teams.

    Responsibilities:

    • Research, design, and test for the development of the next generation of smart textiles
    • Rapid ideation, implementation, and validation of biosignal measuring methods and/or devices
    • Work closely with a variety of people/teams with different disciplines (mechanical, firmware, data science, software, industrial design, textile, quality assurance, regulatory) and mutually educate each other to allow effective teamwork
    • Aid in the testing of prototypes and debug issues on the fly
    • Conducting research and designing protocols to study the attitude towards Myant product and any resulting behavior change
    • Integrating the Myant products in the care relationship
    • Capturing user perspectives from elderly, health care professionals, and other adults with and without health conditions
    • Write, edit, and amend protocol for internal and external testing, in accordance with company's quality control policy and with Research Ethics Board, respectively
    • Maintain fluid and productive relationships with partners (universities, start-ups, corporations)
    • Coordinating clinical studies in partnership with other institutions
    • Participating in Conferences, Webinars and sharing the experience with other teams
    • Developing and updating the Standard Operating Procedures and forms relevant to the Clinical Sciences team, in partnership with the regulatory team

    Qualifications:

    • PhD in a field related to Clinical Sciences
    • Background in Physiotherapy/physical therapy/kinesiology or related discipline is an asset
    • 2-5 years of clinical experience, particularly in geriatric and/or cardiology care
    • Strong analytical, problem solving, and leadership capabilities
    • Ability to contribute and work effectively in a fast-paced, multidisciplinary environment
    • Understanding of biosignals and signal processing techniques would be an important asset

    What we offer at Myant:

    • Free SKIIN Employee Kit
    • Employee stock options
    • Paid Sick Days and Personal Days
    • Group Health Insurance Plan
    • Employee Referral Program
    • Corporate Events
    • Exposure working in one of the most innovative and forward-thinking start-ups that is passionate and dedicated towards the healthcare industry

    Powered by JazzHR

    wnKHEe5mFt +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4002866942,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-acceler8-talent-4002866942?position=56&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=%2Fk2%2F%2B0hwsMiaAU7GO9vHSA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Acceler8 Talent,"Vancouver, British Columbia, Canada","Introduction: We are seeking experienced Machine Learning Engineers to join our dynamic team. This role involves creating and deploying innovative algorithms and rigorously testing them in both simulated environments and real-world scenarios with our advanced robotic platforms. If you're passionate about leveraging cutting-edge haptic and proprioceptive sensing technologies, this opportunity is for you. + + + + +About the Company: Our company, a recognized leader in the tech industry, is known for pioneering advancements in AI and robotics. Our team comprises seasoned engineers, researchers, and scientists dedicated to addressing fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning. + + + + +About the Role: As a Machine Learning Engineer, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and algorithms. You will also implement scalable software solutions to integrate these models into production systems. This role offers a unique chance to explore and implement state-of-the-art ML methodologies in a collaborative environment. + + + + +What We Can Offer You: + +Strong base salary and equity package +Comprehensive medical, dental, and vision coverage +Life insurance and wellness programs +Stock options and paid time off (3 weeks’ vacation, paid holidays, and sick leave) +Flexible scheduling and worksite arrangements +Opportunities for professional development and mentorship + + + + +Key Responsibilities: + +Collaborate with teams to identify opportunities for applying machine learning techniques +Design, develop, and deploy machine learning models and algorithms +Implement scalable and efficient software solutions for production systems +Optimize and fine-tune machine learning algorithms +Conduct thorough testing and validation of models +Stay updated on the latest developments in machine learning +Provide technical guidance and mentorship to junior team members + + + + +Qualifications: + +Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field +3+ years of experience in various ML methods, including specialization in areas like dexterous manipulation, computer vision, or natural language processing +4+ years of experience in software engineering with a focus on production-grade applications +Proficiency in ROS2, parallel computing (CUDA, OpenMP, SSE), and Atlassian tools (Jira, GitLab, Confluence) +Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn +Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (Spark) is a plus +Strong proficiency in Python or C++ +Excellent problem-solving and communication skills + + + + +Join us as a Machine Learning Engineer and be part of a team pushing the boundaries of AI and robotics. Your expertise will help shape the future of intelligent machines. This position is hybrid, based in Vancouver, Canada. + + + + +Relevant Keywords: Machine Learning, Robotics, Computer Vision, TensorFlow, PyTorch, Reinforcement Learning, Software Engineering, Deep Learning, Artificial Intelligence + +Show more ","
    + + + + + +
    +
    +

    Introduction: We are seeking experienced Machine Learning Engineers to join our dynamic team. This role involves creating and deploying innovative algorithms and rigorously testing them in both simulated environments and real-world scenarios with our advanced robotic platforms. If you're passionate about leveraging cutting-edge haptic and proprioceptive sensing technologies, this opportunity is for you.


    About the Company: Our company, a recognized leader in the tech industry, is known for pioneering advancements in AI and robotics. Our team comprises seasoned engineers, researchers, and scientists dedicated to addressing fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning.


    About the Role: As a Machine Learning Engineer, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and algorithms. You will also implement scalable software solutions to integrate these models into production systems. This role offers a unique chance to explore and implement state-of-the-art ML methodologies in a collaborative environment.


    What We Can Offer You:

    • Strong base salary and equity package
    • Comprehensive medical, dental, and vision coverage
    • Life insurance and wellness programs
    • Stock options and paid time off (3 weeks’ vacation, paid holidays, and sick leave)
    • Flexible scheduling and worksite arrangements
    • Opportunities for professional development and mentorship


    Key Responsibilities:

    • Collaborate with teams to identify opportunities for applying machine learning techniques
    • Design, develop, and deploy machine learning models and algorithms
    • Implement scalable and efficient software solutions for production systems
    • Optimize and fine-tune machine learning algorithms
    • Conduct thorough testing and validation of models
    • Stay updated on the latest developments in machine learning
    • Provide technical guidance and mentorship to junior team members


    Qualifications:

    • Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field
    • 3+ years of experience in various ML methods, including specialization in areas like dexterous manipulation, computer vision, or natural language processing
    • 4+ years of experience in software engineering with a focus on production-grade applications
    • Proficiency in ROS2, parallel computing (CUDA, OpenMP, SSE), and Atlassian tools (Jira, GitLab, Confluence)
    • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn
    • Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (Spark) is a plus
    • Strong proficiency in Python or C++
    • Excellent problem-solving and communication skills


    Join us as a Machine Learning Engineer and be part of a team pushing the boundaries of AI and robotics. Your expertise will help shape the future of intelligent machines. This position is hybrid, based in Vancouver, Canada.


    Relevant Keywords: Machine Learning, Robotics, Computer Vision, TensorFlow, PyTorch, Reinforcement Learning, Software Engineering, Deep Learning, Artificial Intelligence

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4006622872,https://ca.linkedin.com/jobs/view/data-scientist-at-allstate-canada-4006622872?position=57&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=lolurwnuHi%2F71JmGFW1RCw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Allstate Canada,"Markham, Ontario, Canada","At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. + +Job Description + +Who is Allstate: + +Allstate Insurance Company of Canada is a leading home and auto insurer focused on providing its customers prevention and protection products and services for every stage of life. The company is proud to have been named a Best Employer in Canada for nine consecutive years and prioritizes supporting employees and fostering an inclusive, welcoming corporate culture. Allstate is committed to making a positive difference in the communities in which it operates through partnerships with charitable organizations, employee giving and volunteerism. Serving Canadians since 1953, Allstate strives to provide reassurance with its ""You’re in Good Hands®"" promise. + +Through our Employee Value Proposition, Opportunity, Flexibility, Community, Diversity and Family, we have worked hard to develop and nurture a culture where employees feel valued, experience personal growth, have career options and truly enjoy the work they do. + +Role Designation: Hybrid + +Benefits To Joining Allstate + + +Flexible Work Arrangements +Employee discounts (15% on auto and property insurance, plus many other products and services) +Good Office program (receive up to 400$ back after purchasing office equipment) +Student Loan Payment Matching Program for Government Student loans +Comprehensive Retirement Savings Program with employer matched contributions +Annual Wellness allowance to support employees with improving health and wellbeing +Personal reflection day +Tuition Reimbursement +Working within the community and giving back! + + +Job description: + +Our team is growing and we are looking to hire an exceptional Data Scientist to synthesize our extensive policyholder and claims data into business enhancing predictive models that will ultimately impact the company’s bottom line. This is a unique opportunity to join a new, multidisciplinary team who work on high-impact projects to bring efficiencies to all functional areas of our business. The team works in a fast-paced environment, using techniques and algorithms best suited for solving challenging problems of the insurance industry. + +Accountabilities: + +The successful candidate will gain exposure to all aspects of insurance operations with respect to claims, underwriting and pricing, as well as general areas of business operations such as human resources and marketing, working on high impact actionable projects. You will learn the business knowledge of the prospective stakeholder through their information datasets. Combining quantitative data with business domain knowledge, you will transform them into predictive models that provide insights that ultimately produce new and creative analytic solutions as part of our core deliverables. This role will work hand in hand with data scientists, business stakeholders in developing models and identifying strategies to improve the company’s bottom line. + +Qualifications: + + +Minimum of 5 years of Machine Learning and analytics experience within a professional services firm or similar industrial environment. +Bachelor's degree or higher from an accredited college in a Mathematics, Statistics, Actuarial Sciences, Computer Science, Physics, Engineering or a related field . +Strong programming skills, ability to write production level code in Python, SQL and SAS. +Working experience in Machine learning algorithms, model implementation and optimization to solve Regression, Classification and Segmentation problems. +Experience with ML frameworks/libraries e.g. Scikit-learn, Pandas, Matplotlib, Seaborn, Tensor flow or Pytorch. +Business and analytics acumen to run and interpret the results of models - turn large amounts of complex, detailed information into clear summaries and business recommendations. +Excellent collaboration skills and the ability to work in a team environment and across multiple sites and business units. +Excellent communication and interpersonal skills - be able to effectively communicate complex results to a business audience not familiar with complex data and analytics. + + +Allstate Canada Group has policies and practices that provide workplace accommodations. If you require accommodation, please let us know and we will work with you to meet your needs. + +Skills + +Artificial Intelligence Markup Language, Business Acumen, Business Case Analyses, Business Recommendations, Communication, Customer Centricity, Data Analytics, Digital Literacy, Inclusive Leadership, Insurance, Learning Agility, Machine Learning Algorithms, Model Implementation, Optimization Models, Problem Solving, Project Management, Python (Programming Language), Results-Oriented, Statistical Analysis Systems (SAS) Programming, Structured Query Language (SQL), Team Collaboration + +Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good. + +You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. + +Good Hands. Greater Together.® +Show more ","
    + + + + + +
    +
    + At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

    Job Description

    Who is Allstate:

    Allstate Insurance Company of Canada is a leading home and auto insurer focused on providing its customers prevention and protection products and services for every stage of life. The company is proud to have been named a Best Employer in Canada for nine consecutive years and prioritizes supporting employees and fostering an inclusive, welcoming corporate culture. Allstate is committed to making a positive difference in the communities in which it operates through partnerships with charitable organizations, employee giving and volunteerism. Serving Canadians since 1953, Allstate strives to provide reassurance with its ""You’re in Good Hands®"" promise.

    Through our Employee Value Proposition, Opportunity, Flexibility, Community, Diversity and Family, we have worked hard to develop and nurture a culture where employees feel valued, experience personal growth, have career options and truly enjoy the work they do.

    Role Designation: Hybrid

    Benefits To Joining Allstate

    • Flexible Work Arrangements
    • Employee discounts (15% on auto and property insurance, plus many other products and services)
    • Good Office program (receive up to 400$ back after purchasing office equipment)
    • Student Loan Payment Matching Program for Government Student loans
    • Comprehensive Retirement Savings Program with employer matched contributions
    • Annual Wellness allowance to support employees with improving health and wellbeing
    • Personal reflection day
    • Tuition Reimbursement
    • Working within the community and giving back!

    Job description:

    Our team is growing and we are looking to hire an exceptional Data Scientist to synthesize our extensive policyholder and claims data into business enhancing predictive models that will ultimately impact the company’s bottom line. This is a unique opportunity to join a new, multidisciplinary team who work on high-impact projects to bring efficiencies to all functional areas of our business. The team works in a fast-paced environment, using techniques and algorithms best suited for solving challenging problems of the insurance industry.

    Accountabilities:

    The successful candidate will gain exposure to all aspects of insurance operations with respect to claims, underwriting and pricing, as well as general areas of business operations such as human resources and marketing, working on high impact actionable projects. You will learn the business knowledge of the prospective stakeholder through their information datasets. Combining quantitative data with business domain knowledge, you will transform them into predictive models that provide insights that ultimately produce new and creative analytic solutions as part of our core deliverables. This role will work hand in hand with data scientists, business stakeholders in developing models and identifying strategies to improve the company’s bottom line.

    Qualifications:

    • Minimum of 5 years of Machine Learning and analytics experience within a professional services firm or similar industrial environment.
    • Bachelor's degree or higher from an accredited college in a Mathematics, Statistics, Actuarial Sciences, Computer Science, Physics, Engineering or a related field .
    • Strong programming skills, ability to write production level code in Python, SQL and SAS.
    • Working experience in Machine learning algorithms, model implementation and optimization to solve Regression, Classification and Segmentation problems.
    • Experience with ML frameworks/libraries e.g. Scikit-learn, Pandas, Matplotlib, Seaborn, Tensor flow or Pytorch.
    • Business and analytics acumen to run and interpret the results of models - turn large amounts of complex, detailed information into clear summaries and business recommendations.
    • Excellent collaboration skills and the ability to work in a team environment and across multiple sites and business units.
    • Excellent communication and interpersonal skills - be able to effectively communicate complex results to a business audience not familiar with complex data and analytics.

    Allstate Canada Group has policies and practices that provide workplace accommodations. If you require accommodation, please let us know and we will work with you to meet your needs.

    Skills

    Artificial Intelligence Markup Language, Business Acumen, Business Case Analyses, Business Recommendations, Communication, Customer Centricity, Data Analytics, Digital Literacy, Inclusive Leadership, Insurance, Learning Agility, Machine Learning Algorithms, Model Implementation, Optimization Models, Problem Solving, Project Management, Python (Programming Language), Results-Oriented, Statistical Analysis Systems (SAS) Programming, Structured Query Language (SQL), Team Collaboration

    Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.

    You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

    Good Hands. Greater Together.® +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4004615316,https://ca.linkedin.com/jobs/view/machine-learning-engineer-genai-at-robinhood-4004615316?position=58&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=hxibcnk9umTQ924GAKdInQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Machine Learning Engineer, GenAi",Robinhood,"Toronto, Ontario, Canada","Join a leading fintech company that’s democratizing finance for all. + +Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in. + +With growth as the top priority... + +The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply. + +About the team + role + +We are seeking a dedicated and ambitious individual to accelerate the development and expansion of products powered by Gen AI to democratize finance forl all at an unprecedented pace. + +In this role, you'll play a key part in Robinhood’s forward trajectory, collaborating closely with our adept Data Science and Engineering teams. The Gen AI team is devoted to bridging the transition of Gen AI & ML modeling work into production-grade applications. Robinhood operates at the intersection of data-driven insights and technological innovation. + +What You’ll Do + +In your role as a Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies. Your key responsibilities will include: + + +Development and Optimization of LLMs: Implement and fine-tune state-of-the-art Large Language Models for various applications, focusing on performance and accuracy. +Evaluating Model Performance: Conduct rigorous evaluations of LLMs, assessing effectiveness, efficiency, and business alignment. +Integration of Advanced AI Technologies: Implement Retrieval-Augmented Generation (RAG), function calling, and code interpreter technologies to enhance the capabilities of Large Language Models. +Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training. +Data and Model Parallel Training: Utilize data and model parallel training techniques for efficient handling of large-scale models. +GPU Cluster Management for Training: Oversee extensive training jobs on GPU clusters, ensuring optimal resource utilization for complex tasks. +Cross-Functional Collaboration and Leadership: Work with ML engineers, data scientists, and product teams, providing guidance and mentorship. +Documentation and Reporting: Maintain detailed documentation of methodologies, models, and results, and communicate findings across the organization. + + +What You Bring + + +Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. +Experience with LLMs and PyTorch: Extensive experience with large language models and proficiency in PyTorch. +Expertise in Parallel Training and GPU Cluster Management: Strong background in parallel training methods and managing large-scale training jobs on GPU clusters. +Analytical and Problem-Solving Skills: Ability to address complex challenges in model training and optimization. +Leadership and Mentorship Capabilities: Proven leadership in guiding projects and mentoring team members. +Communication and Collaboration Skills: Effective communication skills for conveying technical concepts and collaborating with cross-functional teams. +Innovation and Continuous Learning: Passion for staying updated with the latest trends in AI and machine learning. + + +Our team is here to enable an inclusive and welcoming interview experience for all candidates. If you need additional assistance throughout the interview process related to a physical or mental condition, or if there is something our team can do to enable a more accessible experience at any time, please notify our team by completing this Applicant Accommodation Form. + +Click here to learn more about available Benefits, which vary by region and Robinhood entity. + +We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes. + +Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying. +Show more ","
    + + + + + +
    +
    + Join a leading fintech company that’s democratizing finance for all.

    Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

    With growth as the top priority...

    The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.

    About the team + role

    We are seeking a dedicated and ambitious individual to accelerate the development and expansion of products powered by Gen AI to democratize finance forl all at an unprecedented pace.

    In this role, you'll play a key part in Robinhood’s forward trajectory, collaborating closely with our adept Data Science and Engineering teams. The Gen AI team is devoted to bridging the transition of Gen AI & ML modeling work into production-grade applications. Robinhood operates at the intersection of data-driven insights and technological innovation.

    What You’ll Do

    In your role as a Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies. Your key responsibilities will include:

    • Development and Optimization of LLMs: Implement and fine-tune state-of-the-art Large Language Models for various applications, focusing on performance and accuracy.
    • Evaluating Model Performance: Conduct rigorous evaluations of LLMs, assessing effectiveness, efficiency, and business alignment.
    • Integration of Advanced AI Technologies: Implement Retrieval-Augmented Generation (RAG), function calling, and code interpreter technologies to enhance the capabilities of Large Language Models.
    • Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training.
    • Data and Model Parallel Training: Utilize data and model parallel training techniques for efficient handling of large-scale models.
    • GPU Cluster Management for Training: Oversee extensive training jobs on GPU clusters, ensuring optimal resource utilization for complex tasks.
    • Cross-Functional Collaboration and Leadership: Work with ML engineers, data scientists, and product teams, providing guidance and mentorship.
    • Documentation and Reporting: Maintain detailed documentation of methodologies, models, and results, and communicate findings across the organization.

    What You Bring

    • Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing.
    • Experience with LLMs and PyTorch: Extensive experience with large language models and proficiency in PyTorch.
    • Expertise in Parallel Training and GPU Cluster Management: Strong background in parallel training methods and managing large-scale training jobs on GPU clusters.
    • Analytical and Problem-Solving Skills: Ability to address complex challenges in model training and optimization.
    • Leadership and Mentorship Capabilities: Proven leadership in guiding projects and mentoring team members.
    • Communication and Collaboration Skills: Effective communication skills for conveying technical concepts and collaborating with cross-functional teams.
    • Innovation and Continuous Learning: Passion for staying updated with the latest trends in AI and machine learning.

    Our team is here to enable an inclusive and welcoming interview experience for all candidates. If you need additional assistance throughout the interview process related to a physical or mental condition, or if there is something our team can do to enable a more accessible experience at any time, please notify our team by completing this Applicant Accommodation Form.

    Click here to learn more about available Benefits, which vary by region and Robinhood entity.

    We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

    Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3961303134,https://ca.linkedin.com/jobs/view/senior-data-scientist-at-braze-3961303134?position=59&pageNum=0&refId=dJ3M1lq5SYvwA0b7W5t83A%3D%3D&trackingId=I5CCzCg3z3pdyIBwRsFq8g%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Braze,"British Columbia, Canada","At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. + +We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. + +To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. + +If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. + +What You’ll Do + +Braze is seeking a Senior Data Scientist to join our Intelligence team. The Braze Intelligence team’s mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions. You will help discover the scope of what is possible to improve customer engagement at scale. From that space of possibilities, you will also help select and support specific solutions as they go from prototype to product. + +As a Data Scientist, You Will + + +Collaborate with Product Managers and Engineers to build innovative ways to leverage data and improve decision-making for our customers +Explore and analyze the billions of daily data points that Braze’s customers generate in search of predictive, valuable, actionable signals +Build, analyze, and iterate on models that are best suited for the job, whether that’s supervised & unsupervised learning, reinforcement learning, neural networks, or simple regressions + + +WHO YOU ARE + + +5+ years of experience in the technology industry +5+ years of experience working with cloud or distributed systems and large customer datasets +Ph.D. in Computer Science, Applied Mathematics, or significant experience developing and deploying machine learning systems +Extensive experience prototyping, refining, and deploying predictive models and machine learning & AI neural networks +Experience working with Data Stores and frameworks such as TensorFlow and PyTorch + + +What We Offer + +Details of these benefits plan will be provided if a candidate receives an offer of employment. Benefits may vary by location. + +From offering comprehensive benefits to fostering flexible environments, we’ve got you covered so you can prioritize work-life harmony. + + +Competitive compensation that may include equity +Retirement and Employee Stock Purchase Plans +Flexible paid time off +Comprehensive benefit plans covering medical, dental, vision, life, and disability +Family services that include fertility benefits and equal paid parental leave +Professional development supported by formal career pathing, learning platforms, and tuition reimbursement +Community engagement opportunities throughout the year, including an annual company wide Volunteer Week +Employee Resource Groups that provide supportive communities within Braze +Collaborative, transparent, and fun culture recognized as a Great Place to Work® + + +About Braze + +Braze is a leading customer engagement platform that powers lasting connections between consumers and brands they love. Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. + +Braze is proudly certified as a Great Place to Work® in the U.S., the UK and Singapore. We ranked #3 on Great Place to Work UK’s 2024 Best Workplaces (Large), #3 on Great Place to Work UK’s 2023 Best Workplaces for Wellbeing (Medium), #4 on Great Place to Work’s 2023 Best Workplaces in Europe (Medium), #10 on Great Place to Work UK’s 2023 Best Workplaces for Women (Large), #19 on Fortune’s 2023 Best Workplaces in New York (Large). We were also featured in Built In's 2024 Best Places to Work, U.S. News Best Technology Companies to Work For, and Great Place to Work UK’s 2023 Best Workplaces in Tech. + +You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Chicago, Jakarta, London, Paris, San Francisco, Singapore, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations. + +BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER + +At Braze, we strive to create equitable growth and opportunities inside and outside the organization. + +Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you . + +We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you. + +Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights. +Show more ","
    + + + + + +
    +
    + At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

    We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

    To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

    If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

    What You’ll Do

    Braze is seeking a Senior Data Scientist to join our Intelligence team. The Braze Intelligence team’s mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions. You will help discover the scope of what is possible to improve customer engagement at scale. From that space of possibilities, you will also help select and support specific solutions as they go from prototype to product.

    As a Data Scientist, You Will

    • Collaborate with Product Managers and Engineers to build innovative ways to leverage data and improve decision-making for our customers
    • Explore and analyze the billions of daily data points that Braze’s customers generate in search of predictive, valuable, actionable signals
    • Build, analyze, and iterate on models that are best suited for the job, whether that’s supervised & unsupervised learning, reinforcement learning, neural networks, or simple regressions

    WHO YOU ARE

    • 5+ years of experience in the technology industry
    • 5+ years of experience working with cloud or distributed systems and large customer datasets
    • Ph.D. in Computer Science, Applied Mathematics, or significant experience developing and deploying machine learning systems
    • Extensive experience prototyping, refining, and deploying predictive models and machine learning & AI neural networks
    • Experience working with Data Stores and frameworks such as TensorFlow and PyTorch

    What We Offer

    Details of these benefits plan will be provided if a candidate receives an offer of employment. Benefits may vary by location.

    From offering comprehensive benefits to fostering flexible environments, we’ve got you covered so you can prioritize work-life harmony.

    • Competitive compensation that may include equity
    • Retirement and Employee Stock Purchase Plans
    • Flexible paid time off
    • Comprehensive benefit plans covering medical, dental, vision, life, and disability
    • Family services that include fertility benefits and equal paid parental leave
    • Professional development supported by formal career pathing, learning platforms, and tuition reimbursement
    • Community engagement opportunities throughout the year, including an annual company wide Volunteer Week
    • Employee Resource Groups that provide supportive communities within Braze
    • Collaborative, transparent, and fun culture recognized as a Great Place to Work®

    About Braze

    Braze is a leading customer engagement platform that powers lasting connections between consumers and brands they love. Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty.

    Braze is proudly certified as a Great Place to Work® in the U.S., the UK and Singapore. We ranked #3 on Great Place to Work UK’s 2024 Best Workplaces (Large), #3 on Great Place to Work UK’s 2023 Best Workplaces for Wellbeing (Medium), #4 on Great Place to Work’s 2023 Best Workplaces in Europe (Medium), #10 on Great Place to Work UK’s 2023 Best Workplaces for Women (Large), #19 on Fortune’s 2023 Best Workplaces in New York (Large). We were also featured in Built In's 2024 Best Places to Work, U.S. News Best Technology Companies to Work For, and Great Place to Work UK’s 2023 Best Workplaces in Tech.

    You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Chicago, Jakarta, London, Paris, San Francisco, Singapore, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations.

    BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER

    At Braze, we strive to create equitable growth and opportunities inside and outside the organization.

    Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you .

    We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.

    Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +3915111131,https://ca.linkedin.com/jobs/view/data-scientist-at-stripe-3915111131?position=3&pageNum=2&refId=w99QZEKIvVnBb25bRX%2BjQA%3D%3D&trackingId=eoAXk%2BAvrn%2FOr9yKdvDEUA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Stripe,"Toronto, Ontario, Canada","About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.## What you'll do + +We’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. + +Who you are + +We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +2-8+ years of data science/quantitative modeling experience +Proficiency in SQL and a computing language such as Python or R +Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation +Experience in working with cross-functional teams to deliver results +Ability to communicate results clearly and a focus on driving impact +A demonstrated ability to manage and deliver on multiple projects with a high attention to detail +Solid business acumen and experience in synthesizing complex analyses into actionable recommendations +A builder's mindset with a willingness to question assumptions and conventional wisdom + + + +Preferred Qualifications + + +Experience deploying models in production and adjusting model thresholds to improve performance +Experience designing, running, and analyzing complex experiments or leveraging causal inference designs +Experience with distributed tools such as Spark, Hadoop, etc. +A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research) + + + +Hybrid work at Stripe + +This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. + +Pay and benefits + +The annual salary range for this role in the primary location is C$175,000 - C$262,600. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. + +Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +Show more ","
    + + + + + +
    +
    + About Stripe

    Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

    About The Team

    Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.## What you'll do

    We’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.

    Who you are

    We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

    Minimum Requirements

    • 2-8+ years of data science/quantitative modeling experience
    • Proficiency in SQL and a computing language such as Python or R
    • Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
    • Experience in working with cross-functional teams to deliver results
    • Ability to communicate results clearly and a focus on driving impact
    • A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
    • Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
    • A builder's mindset with a willingness to question assumptions and conventional wisdom


    Preferred Qualifications

    • Experience deploying models in production and adjusting model thresholds to improve performance
    • Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
    • Experience with distributed tools such as Spark, Hadoop, etc.
    • A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)


    Hybrid work at Stripe

    This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

    Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

    A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

    Pay and benefits

    The annual salary range for this role in the primary location is C$175,000 - C$262,600. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

    Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +4005941393,https://ca.linkedin.com/jobs/view/data-scientist-at-rbc-4005941393?position=4&pageNum=2&refId=w99QZEKIvVnBb25bRX%2BjQA%3D%3D&trackingId=gQsw2X3sdGA13kYSsEi25A%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,RBC,"Toronto, Ontario, Canada","Job Summary + +Job Description + +What is the opportunity? + +RBC Technology Infrastructure seeks a Full Stack Data Scientist (DS) to explore and operationalize big data sources to reduce outage and down time for RBC services that leads to improve user experience and save costs. Seeking a DS with experience in applied research and problem solving to join our team. The successful candidate will have experience with developing and deploying production grade AI/ML solutions, have broad expertise in statistics, analytics, ML and strong programming skill. + +What will you do? + + +Lead full life-cycle Data Science solutions from beginning to model deployment and monitoring and partner with the engineering team to ensure best practices for ML model deployment. +Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. +Experience in (Python, R, Scala, SQL, NoSQL, etc.) to obtain, integrate, manipulate, and analyze data from multiple sources. +Expertise in statistical data analysis (e.g. univariate/bivariate analysis) and data quality assessment. +Build Gen-AI, Machine Learning, Deep Learning and statistical models to solve specific business problems. +Developing predictive data models, anomaly detection model, quantitative analyses and visualization of targeted big data sources. +Leading data exploration and analytic projects and providing on-going coaching of big data topics (visualization, data mining, analytic techniques). +Exploring and implementing semantic data capabilities through NLP, text mining and machine learning techniques. +Overseeing the acquisitions and ingestions of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data. +Utilizing APIs to collect data from various products into the Data Warehouse Database. + + +What do you need to succeed? + +Must have: + + +University, Master or Ph.D. degree in an analytical field of study (e.g. Computer Science, Engineering, Mathematics, Statistics, or related quantitative field). +Experience creating and using Gen-AI , advanced machine learning algorithms and statistics: Classification and Clustering, Forecasting, Predictive modeling, Recommender Engine, Anomaly detection, Optimization, Simulation, Regression, etc. +Excellent working knowledge of Reinforcement learning (DynaQ/Q+, SARSA, TD, Monte Carlo). +Excellent knowledge in MS SQL Server DBA. +Good knowledge with Microsoft Windows Server Administration. +Excellent knowledge in Python, SQL and C# Programming languages. +Excellent Knowledge in cloud orchestration. +Excellent knowledge in Experience with SSIS, Spark, cloud computing services (e.g. AWS), Hadoop. +Experience with BI tools such as Tableau, Looker, PowerBI, and DOMO for dashboarding or analysis +Strong communication, collaboration, and problem-solving skills +Ability to prioritize work and manage multiple work streams concurrently + + +Nice-to-have: + + +Ability to create data architectures. +Experience in data applications using large scale distributed systems (e.g. Spark, Hadoop, Pig, and Hive). +Broad knowledge of ML methods, statistical analysis, and problem-solving skills. +Knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data sets. +Familiarity with structured and non-structured data. +A desire to learn new techniques and technologies + + +What’s in it for you? + +We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. + + +A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable +Leaders who support your development through coaching and managing opportunities +Ability to make a difference and lasting impact +Work in a dynamic, collaborative, progressive, and high-performing team +A world-class training program in financial services +Flexible work/life balance options +Opportunities to do challenging work + + +#TechPJ + +Job Skills + +Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language) + +Additional Job Details + +Address: + +RBC CENTRE, 155 WELLINGTON ST W:TORONTO + +City: + +TORONTO + +Country: + +Canada + +Work hours/week: + +37.5 + +Employment Type: + +Full time + +Platform: + +TECHNOLOGY AND OPERATIONS + +Job Type: + +Regular + +Pay Type: + +Salaried + +Posted Date: + +2024-08-20 + +Application Deadline: + +2024-09-30 + +Inclusion and Equal Opportunity Employment + +At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities. + +We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process. + +Join our Talent Community + +Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. + +Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com + + +Show more ","
    + + + + + +
    +
    + Job Summary

    Job Description

    What is the opportunity?

    RBC Technology Infrastructure seeks a Full Stack Data Scientist (DS) to explore and operationalize big data sources to reduce outage and down time for RBC services that leads to improve user experience and save costs. Seeking a DS with experience in applied research and problem solving to join our team. The successful candidate will have experience with developing and deploying production grade AI/ML solutions, have broad expertise in statistics, analytics, ML and strong programming skill.

    What will you do?

    • Lead full life-cycle Data Science solutions from beginning to model deployment and monitoring and partner with the engineering team to ensure best practices for ML model deployment.
    • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
    • Experience in (Python, R, Scala, SQL, NoSQL, etc.) to obtain, integrate, manipulate, and analyze data from multiple sources.
    • Expertise in statistical data analysis (e.g. univariate/bivariate analysis) and data quality assessment.
    • Build Gen-AI, Machine Learning, Deep Learning and statistical models to solve specific business problems.
    • Developing predictive data models, anomaly detection model, quantitative analyses and visualization of targeted big data sources.
    • Leading data exploration and analytic projects and providing on-going coaching of big data topics (visualization, data mining, analytic techniques).
    • Exploring and implementing semantic data capabilities through NLP, text mining and machine learning techniques.
    • Overseeing the acquisitions and ingestions of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data.
    • Utilizing APIs to collect data from various products into the Data Warehouse Database.

    What do you need to succeed?

    Must have:

    • University, Master or Ph.D. degree in an analytical field of study (e.g. Computer Science, Engineering, Mathematics, Statistics, or related quantitative field).
    • Experience creating and using Gen-AI , advanced machine learning algorithms and statistics: Classification and Clustering, Forecasting, Predictive modeling, Recommender Engine, Anomaly detection, Optimization, Simulation, Regression, etc.
    • Excellent working knowledge of Reinforcement learning (DynaQ/Q+, SARSA, TD, Monte Carlo).
    • Excellent knowledge in MS SQL Server DBA.
    • Good knowledge with Microsoft Windows Server Administration.
    • Excellent knowledge in Python, SQL and C# Programming languages.
    • Excellent Knowledge in cloud orchestration.
    • Excellent knowledge in Experience with SSIS, Spark, cloud computing services (e.g. AWS), Hadoop.
    • Experience with BI tools such as Tableau, Looker, PowerBI, and DOMO for dashboarding or analysis
    • Strong communication, collaboration, and problem-solving skills
    • Ability to prioritize work and manage multiple work streams concurrently

    Nice-to-have:

    • Ability to create data architectures.
    • Experience in data applications using large scale distributed systems (e.g. Spark, Hadoop, Pig, and Hive).
    • Broad knowledge of ML methods, statistical analysis, and problem-solving skills.
    • Knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data sets.
    • Familiarity with structured and non-structured data.
    • A desire to learn new techniques and technologies

    What’s in it for you?

    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
    • Leaders who support your development through coaching and managing opportunities
    • Ability to make a difference and lasting impact
    • Work in a dynamic, collaborative, progressive, and high-performing team
    • A world-class training program in financial services
    • Flexible work/life balance options
    • Opportunities to do challenging work

    #TechPJ

    Job Skills

    Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

    Additional Job Details

    Address:

    RBC CENTRE, 155 WELLINGTON ST W:TORONTO

    City:

    TORONTO

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    TECHNOLOGY AND OPERATIONS

    Job Type:

    Regular

    Pay Type:

    Salaried

    Posted Date:

    2024-08-20

    Application Deadline:

    2024-09-30

    Inclusion and Equal Opportunity Employment

    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

    Join our Talent Community

    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com</a/span>

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4002101894,https://ca.linkedin.com/jobs/view/artificial-intelligence-and-machine-learning-engineer-at-hcltech-4002101894?position=5&pageNum=2&refId=w99QZEKIvVnBb25bRX%2BjQA%3D%3D&trackingId=FOt8gWGFqJMhjvo6MBEKJw%3D%3D&trk=public_jobs_jserp-result_search-card,Artificial Intelligence and Machine Learning Engineer,HCLTech,"Mississauga, Ontario, Canada","Role : AI/ML Engineer + +Location : Mississauga, ON (Hybrid) + +Qualifications & Skills: + +Master’s or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. +3+ years of experience with ML methods, including reinforcement learning, computer vision, or NLP. +4+ years of experience in software engineering, with a focus on production-grade applications. Practical experience with ROS2 and parallel computing technologies (e.g., CUDA, OpenMP). +Proficiency in Python and hands-on experience with ML frameworks (TensorFlow, PyTorch). +Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus. +Strong understanding of robotics principles and technologies is highly desirable. +Publications in leading AI, ML, or robotics conferences are a plus. +Excellent problem-solving abilities, strong communication skills, and the capacity to work in a fast-paced, collaborative environment. +Show more ","
    + + + + + +
    +
    +

    Role : AI/ML Engineer

    Location : Mississauga, ON (Hybrid)

    Qualifications & Skills:

    • Master’s or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
    • 3+ years of experience with ML methods, including reinforcement learning, computer vision, or NLP.
    • 4+ years of experience in software engineering, with a focus on production-grade applications. Practical experience with ROS2 and parallel computing technologies (e.g., CUDA, OpenMP).
    • Proficiency in Python and hands-on experience with ML frameworks (TensorFlow, PyTorch).
    • Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.
    • Strong understanding of robotics principles and technologies is highly desirable.
    • Publications in leading AI, ML, or robotics conferences are a plus.
    • Excellent problem-solving abilities, strong communication skills, and the capacity to work in a fast-paced, collaborative environment.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-19,[] +4003174801,https://ca.linkedin.com/jobs/view/data-scientist-reuters-at-thomson-reuters-4003174801?position=6&pageNum=2&refId=w99QZEKIvVnBb25bRX%2BjQA%3D%3D&trackingId=6hQeO%2BXiYmrqGSyHWuDrXg%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Reuters",Thomson Reuters,"Toronto, Ontario, Canada","Data Scientist – Reuters News + +We envisage the successful candidate being based in either London, United Kingdom or Toronto, Canada. + +Want to deploy your academic knowledge and practical skills in a hands-on, problem-solving position? Want to play a key role in how once of the world’s most powerful newsrooms designs and implements solutions that ensure our news gets to the right people at the right time? Well this might be the role for you... + +Reuters is looking for a Data Scientist to help create artificial intelligence products for Reuters News.  As a Data Scientist, you’ll create deep learning, machine learning, and artificial intelligence models using state-of-the-art research and cloud platform solutions, maintaining a special focus on data preparation, testing and evaluation of metric performance. + +In this varied role, you’ll work on both news technology projects that will play a crucial role in supporting both our global newsrooms as well as the strategy and execution of Reuters’ news production efforts. As such, you’ll work with a range of stakeholders both within the newsroom and with the wider business to determine the path forward in how Reuters puts stories out into the world, from a technological perspective. + +  + +About The Role  + +  + +As a Data Scientist at Reuters you will:  + + +Work as part of a collaborative team that works closely with the CTO on both AI and non-AI software products that power Reuters’ global newsrooms in real-time.  +Work in both a strategic and practical manner, building great news solutions that will aid the way in which Reuters newsrooms use video, photo and text multimedia when getting crucial information around the world  at high speed.  + Use your analytical skills to gather and prepare datasets whilst training analytical models. This work will be key to Reuters’ delivery of news to its different global audiences, but will also be key to our understanding of how our audiences are using and consuming news.   +Assist with evaluating systems, including the use of performance metrics that allow different business units to make great strategic decisions in a technological space.  +Be a great listener and problem solver. You’ll work closely with both editorial and technological stakeholders internally to understand pain points, areas for innovation, and will establish the best course of action, in building and delivering practical, innovative solutions with its users’ needs at heart.  + + + +  + +About You  + +You’re a fit for the role of Data Scientist at Reuters if you have:     + + +Demonstrable experience in Python with strong grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.     +Demonstrable, applied experience in ML, deep learning or Computer Vision     +Have demonstrated expertise in machine learning and artificial intelligence tasks such as feature engineering, image processing, NLP, or model training.    +Knowledge and experience with recent machine learning frameworks     +Demonstrated experience in building and maintaining high quality, robust and maintainable code     +Experience in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure     +Ability to work with large data sets, including preparation, labelling, and analysis tasks    +Comfortable with Agile practices     +Comfortable with giving web presentations on investigations or work    + + + +Please Note: Completed applications must be submitted by Sunday 8th September 2024. Early applications are encouraged. + +What's in it For You? + +You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through: + + +Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected +Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing. +Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more. +Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking. +Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact. +Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. + + + +Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing. + +We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. + +Accessibility + +As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. + +We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. + +Protect yourself from fraudulent job postings click here to know more. + +More information about Thomson Reuters can be found on https://thomsonreuters.com. + + +Show more ","
    + + + + + +
    +
    + Data Scientist – Reuters News

    We envisage the successful candidate being based in either London, United Kingdom or Toronto, Canada.

    Want to deploy your academic knowledge and practical skills in a hands-on, problem-solving position? Want to play a key role in how once of the world’s most powerful newsrooms designs and implements solutions that ensure our news gets to the right people at the right time? Well this might be the role for you...

    Reuters is looking for a Data Scientist to help create artificial intelligence products for Reuters News.  As a Data Scientist, you’ll create deep learning, machine learning, and artificial intelligence models using state-of-the-art research and cloud platform solutions, maintaining a special focus on data preparation, testing and evaluation of metric performance.

    In this varied role, you’ll work on both news technology projects that will play a crucial role in supporting both our global newsrooms as well as the strategy and execution of Reuters’ news production efforts. As such, you’ll work with a range of stakeholders both within the newsroom and with the wider business to determine the path forward in how Reuters puts stories out into the world, from a technological perspective.

     

    About The Role 

     

    As a Data Scientist at Reuters you will: 

    • Work as part of a collaborative team that works closely with the CTO on both AI and non-AI software products that power Reuters’ global newsrooms in real-time. 
    • Work in both a strategic and practical manner, building great news solutions that will aid the way in which Reuters newsrooms use video, photo and text multimedia when getting crucial information around the world  at high speed. 
    •  Use your analytical skills to gather and prepare datasets whilst training analytical models. This work will be key to Reuters’ delivery of news to its different global audiences, but will also be key to our understanding of how our audiences are using and consuming news.  
    • Assist with evaluating systems, including the use of performance metrics that allow different business units to make great strategic decisions in a technological space. 
    • Be a great listener and problem solver. You’ll work closely with both editorial and technological stakeholders internally to understand pain points, areas for innovation, and will establish the best course of action, in building and delivering practical, innovative solutions with its users’ needs at heart. 


     

    About You 

    You’re a fit for the role of Data Scientist at Reuters if you have:    

    • Demonstrable experience in Python with strong grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.    
    • Demonstrable, applied experience in ML, deep learning or Computer Vision    
    • Have demonstrated expertise in machine learning and artificial intelligence tasks such as feature engineering, image processing, NLP, or model training.   
    • Knowledge and experience with recent machine learning frameworks    
    • Demonstrated experience in building and maintaining high quality, robust and maintainable code    
    • Experience in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure    
    • Ability to work with large data sets, including preparation, labelling, and analysis tasks   
    • Comfortable with Agile practices    
    • Comfortable with giving web presentations on investigations or work   


    Please Note: Completed applications must be submitted by Sunday 8th September 2024. Early applications are encouraged.

    What's in it For You?

    You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

    • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected
    • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
    • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
    • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
    • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
    • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.


    Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

    We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

    Accessibility

    As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

    We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

    Protect yourself from fraudulent job postings click here to know more.

    More information about Thomson Reuters can be found on https://thomsonreuters.com.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-17,[] +3987145805,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-bombardier-3987145805?position=7&pageNum=2&refId=w99QZEKIvVnBb25bRX%2BjQA%3D%3D&trackingId=xMjwWVWs75dCO6WQibbZfg%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Bombardier,Greater Montreal Metropolitan Area,"Why join us? + +Bombardier is a global leader in aviation, focused on designing, manufacturing and servicing the world's most exceptional business jets and specialized mission platforms. Bombardier has been successful in setting the highest standards because we are a people-centric business that fosters passion, diversity and authenticity. + + + + +Prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms. + + + + +Our Benefits + +With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following: + +Insurance plans (Medical, life insurance, and more) +Employee Assistance Program +Competitive base salary + + + + +What are your contributions to the team? + +• Collaborate with experienced Machine Learning Engineers (MLEs) to develop and deliver machine learning (ML) solutions that meet the needs of Bombardier's organization. + +• Assist in the deployment of ML models within the production data science environment, following best practices, pipeline controls, and maintaining clear documentation. + +• Contribute to the development of tools for monitoring the machine learning life cycle and providing observability into the system's execution flow. + +• Participate in designing, implementing, and optimizing maintainable and reusable ML services that enhance Bombardier's data and advanced analytics solutions. + +• Assist in analyzing, processing, and modeling data, and help interpret the results to create actionable plans that positively impact Bombardier's operations. + +• Work on configuring robust environments that handle data and microsystem connections, enabling ML workflows. + + + + + + + +How to thrive in this role? + +• You have experience and a strong interest in analytics, data science, and computer engineering + +• You are familiar with, and open to gaining experience, using cloud computing platforms. + +• You are proficient speaking English and French + +• You have experience using Microsoft Azure’s advanced analytics tools (e.g., Azure Data Factory, Azure Databricks, Azure Machine Learning). + +• You developed machine learning algorithms before. + +• You are willing to learn about Docker and software packaging and ML production lifecycle. + +• You are familiar with software architecture, and modular software development. Proficiency with Python is a must. Familiarity with PySpark is a plus. + +• You have familiarity with Linux scripting or PowerShell scripting. + +• You are interested in agile project management and application lifecycle management, including familiarity with Azure DevOps or Gitlab. + + + + + + + +Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply. + +Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone. + +Show more ","
    + + + + + +
    +
    +

    Why join us?

    Bombardier is a global leader in aviation, focused on designing, manufacturing and servicing the world's most exceptional business jets and specialized mission platforms. Bombardier has been successful in setting the highest standards because we are a people-centric business that fosters passion, diversity and authenticity.


    Prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms.


    Our Benefits

    With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:

    • Insurance plans (Medical, life insurance, and more)
    • Employee Assistance Program
    • Competitive base salary


    What are your contributions to the team?

    • Collaborate with experienced Machine Learning Engineers (MLEs) to develop and deliver machine learning (ML) solutions that meet the needs of Bombardier's organization.

    • Assist in the deployment of ML models within the production data science environment, following best practices, pipeline controls, and maintaining clear documentation.

    • Contribute to the development of tools for monitoring the machine learning life cycle and providing observability into the system's execution flow.

    • Participate in designing, implementing, and optimizing maintainable and reusable ML services that enhance Bombardier's data and advanced analytics solutions.

    • Assist in analyzing, processing, and modeling data, and help interpret the results to create actionable plans that positively impact Bombardier's operations.

    • Work on configuring robust environments that handle data and microsystem connections, enabling ML workflows.



    How to thrive in this role?

    • You have experience and a strong interest in analytics, data science, and computer engineering

    • You are familiar with, and open to gaining experience, using cloud computing platforms.

    • You are proficient speaking English and French

    • You have experience using Microsoft Azure’s advanced analytics tools (e.g., Azure Data Factory, Azure Databricks, Azure Machine Learning).

    • You developed machine learning algorithms before.

    • You are willing to learn about Docker and software packaging and ML production lifecycle.

    • You are familiar with software architecture, and modular software development. Proficiency with Python is a must. Familiarity with PySpark is a plus.

    • You have familiarity with Linux scripting or PowerShell scripting.

    • You are interested in agile project management and application lifecycle management, including familiarity with Azure DevOps or Gitlab.



    Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.

    Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +4008630316,https://ca.linkedin.com/jobs/view/data-scientist-llm-at-iris-software-inc-4008630316?position=9&pageNum=2&refId=w99QZEKIvVnBb25bRX%2BjQA%3D%3D&trackingId=kjCDF7MhhWuc2okn0mL%2Fuw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (LLM),Iris Software Inc.,"Toronto, Ontario, Canada","Iris's Fortune 100 direct client is looking for Data Scientist (LLM). Please find below Job description and share me your updated resume at Jatin.gupta@irissoftware.com. + + + + +Position: Data Scientist (LLM) + +Location: Toronto, ON (3 days onsite in a week) + + + + +Data Scientist with experience on LLM use cases in Finance, Executive Earnings Reports, llama, openAI + +The Data Scientist (Generative AI)GenAI - experience on LLM use cases in Finance, Executive Earnings Reports, llama, openAI, AWS Bedrock +Python +Scikit Learn +ML +CDK / Typescript +SQL +Strong analytical and problem-solving skills +Excellent communication and documentation skills + +Show more ","
    + + + + + +
    +
    +

    Iris's Fortune 100 direct client is looking for Data Scientist (LLM). Please find below Job description and share me your updated resume at Jatin.gupta@irissoftware.com.


    Position: Data Scientist (LLM)

    Location: Toronto, ON (3 days onsite in a week)


    Data Scientist with experience on LLM use cases in Finance, Executive Earnings Reports, llama, openAI

    • The Data Scientist (Generative AI)GenAI - experience on LLM use cases in Finance, Executive Earnings Reports, llama, openAI, AWS Bedrock
    • Python
    • Scikit Learn
    • ML
    • CDK / Typescript
    • SQL
    • Strong analytical and problem-solving skills
    • Excellent communication and documentation skills

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +3878106621,https://ca.linkedin.com/jobs/view/data-scientist-decisions-driving-experience-at-lyft-3878106621?position=10&pageNum=2&refId=w99QZEKIvVnBb25bRX%2BjQA%3D%3D&trackingId=7WPgVcN%2B7SEvoXWDDqiSgA%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Decisions - Driving Experience",Lyft,"Toronto, Ontario, Canada","At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. + +As a Data Scientist on the Driving XP team, you will collaborate with our world class team of engineers, product managers, and designers to design the end-to-end driving experience for hundreds of thousands of drivers who interact deeply with our app every day. This includes building tools to set personal driving preferences, guidance on when and where to drive, and designing the best UI and personalized XP to get the right rides to the right drivers quickly. + +Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our Driving XP products and make business decisions that put drivers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features. + +Responsibilities: + + +Leverage data and analytic frameworks to identify opportunities for growth and efficiency +Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action +Design and analyze online experiments; communicate results and act on launch decisions +Develop analytical frameworks to monitor business and product performance +Establish metrics that measure the health of our products, as well as rider and driver experience + + +Experience: + + +Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience +5+ years of industry experience in a data science or analytical role +Proficiency in SQL - able to write structured and efficient queries on large data sets +Experience in programming, especially with data science and visualization libraries in Python or R +Experience in online experimentation and statistical analysis +Experience in applying Machine Learning techniques (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation) +Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners + + +Benefits: + + +Extended health and dental coverage options, along with life insurance and disability benefits +Mental health benefits +Family building benefits +Access to a Health Care Savings Account +In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service +4 Floating Holidays each calendar year prorated based off of date of hire +10 paid sick days per year regardless of province +18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible + + +Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request. + +This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +Show more ","
    + + + + + +
    +
    + At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

    As a Data Scientist on the Driving XP team, you will collaborate with our world class team of engineers, product managers, and designers to design the end-to-end driving experience for hundreds of thousands of drivers who interact deeply with our app every day. This includes building tools to set personal driving preferences, guidance on when and where to drive, and designing the best UI and personalized XP to get the right rides to the right drivers quickly.

    Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our Driving XP products and make business decisions that put drivers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features.

    Responsibilities:

    • Leverage data and analytic frameworks to identify opportunities for growth and efficiency
    • Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
    • Design and analyze online experiments; communicate results and act on launch decisions
    • Develop analytical frameworks to monitor business and product performance
    • Establish metrics that measure the health of our products, as well as rider and driver experience

    Experience:

    • Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
    • 5+ years of industry experience in a data science or analytical role
    • Proficiency in SQL - able to write structured and efficient queries on large data sets
    • Experience in programming, especially with data science and visualization libraries in Python or R
    • Experience in online experimentation and statistical analysis
    • Experience in applying Machine Learning techniques (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
    • Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

    Benefits:

    • Extended health and dental coverage options, along with life insurance and disability benefits
    • Mental health benefits
    • Family building benefits
    • Access to a Health Care Savings Account
    • In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
    • 4 Floating Holidays each calendar year prorated based off of date of hire
    • 10 paid sick days per year regardless of province
    • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

    Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.

    This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-24,[] +3979761151,https://ca.linkedin.com/jobs/view/senior-data-scientist-applied-ai-at-brex-3979761151?position=1&pageNum=5&refId=5mWidMaM05Z9rLTVcBabTQ%3D%3D&trackingId=OBUp2CeBrN4otyRqTx57DA%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Data Scientist, Applied AI",Brex,"Vancouver, British Columbia, Canada","Why join us + +Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. + +Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. + +Engineering at Brex + +The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential. + +Applied AI at Brex + +As part of Brex’s AI team, Applied AI leverages cutting-edge AI/ML techniques to empower automation solutions in Brex’s spend management offering, working closely with Product, Design, and Engineering teams. + +What You’ll Do + +The Applied AI team drives for a more streamlined experience for our customers via AI/ML automations. We are looking for a strong Data Scientist to join our nimble and effective team. You will be responsible for the full cycle of work from ideation, research, and development to production and further improvements, working both strategically and tactically with cross-functional stakeholders to balance priority and delivery. + +Responsibilities + + +Design and implement spend management related solutions with ML and AI techniques +Partner closely with Product Managers, Designers, and Engineers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process +Consult and educate internal teams on current and up-and-coming research, technologies, and best practices of leveraging ML and LLM in product design and development +Work closely with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering + + +Requirements + + +4+ years of industry experience developing optimization models that drive business impact +Passion for delivering data-driven solutions leveraging data, ML, and AI +M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field +Familiarity with programming languages (e.g. Python) and machine learning libraries (e.g. SciKit Learn) +Deep understanding of natural language processing techniques +Experience in overall big data analysis and system-backed integration with ML/LLM system/solution +Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inference +Experience productionizing and A/B testing different machine learning models +Must be willing to work in office 2 days per week on Wednesday and Thursday + + +Bonus points + + +Experience leveraging commercial or open source LLM APIs to build solutions, such as OpenAI or llama +Experience in the finance industry + + +Compensation + +The expected salary range for this role is $176,800 CAD - $221,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. + +Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored. +Show more ","
    + + + + + +
    +
    + Why join us

    Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.

    Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

    Engineering at Brex

    The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential.

    Applied AI at Brex

    As part of Brex’s AI team, Applied AI leverages cutting-edge AI/ML techniques to empower automation solutions in Brex’s spend management offering, working closely with Product, Design, and Engineering teams.

    What You’ll Do

    The Applied AI team drives for a more streamlined experience for our customers via AI/ML automations. We are looking for a strong Data Scientist to join our nimble and effective team. You will be responsible for the full cycle of work from ideation, research, and development to production and further improvements, working both strategically and tactically with cross-functional stakeholders to balance priority and delivery.

    Responsibilities

    • Design and implement spend management related solutions with ML and AI techniques
    • Partner closely with Product Managers, Designers, and Engineers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process
    • Consult and educate internal teams on current and up-and-coming research, technologies, and best practices of leveraging ML and LLM in product design and development
    • Work closely with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering

    Requirements

    • 4+ years of industry experience developing optimization models that drive business impact
    • Passion for delivering data-driven solutions leveraging data, ML, and AI
    • M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
    • Familiarity with programming languages (e.g. Python) and machine learning libraries (e.g. SciKit Learn)
    • Deep understanding of natural language processing techniques
    • Experience in overall big data analysis and system-backed integration with ML/LLM system/solution
    • Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inference
    • Experience productionizing and A/B testing different machine learning models
    • Must be willing to work in office 2 days per week on Wednesday and Thursday

    Bonus points

    • Experience leveraging commercial or open source LLM APIs to build solutions, such as OpenAI or llama
    • Experience in the finance industry

    Compensation

    The expected salary range for this role is $176,800 CAD - $221,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

    Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[] +4006251959,https://ca.linkedin.com/jobs/view/data-scientist-at-atlantis-it-group-4006251959?position=2&pageNum=5&refId=5mWidMaM05Z9rLTVcBabTQ%3D%3D&trackingId=mM4ZHkEohxchX38bazMLpA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Atlantis IT Group,"Mississauga, Ontario, Canada","Role name: Developer + +Role Description: Ability to lead on GCP team and Extensive experience in managing and leading Data Engineer team .Responsible & accountable for doing high level and detailed technical design and solution. Developing data ingestion framework for different sources Strong migration experience of Hadoop cluster to Google Cloud + +Competencies: Digital : BigData and Hadoop Ecosystem - MapR, Digital : Google Data Engineering + +Experience (Years): 8-10 + +Essential Skills: Combination of technical expertise, hands-on experience with data science tools and methodologies, familiarity with cloud technologies, and the ability to drive impactful insights from data. Ability to work with Data Engineer and recommend suggestion to pipeline changes for staging strategy for technical critical (pipeline performance, data model, scheduler arrangement for data availability). + +Desirable Skills: Certified as Professional Data Engineer - GCP will be addition .Python & PySpark + +Show more ","
    + + + + + +
    +
    +

    Role name: Developer

    Role Description: Ability to lead on GCP team and Extensive experience in managing and leading Data Engineer team .Responsible & accountable for doing high level and detailed technical design and solution. Developing data ingestion framework for different sources Strong migration experience of Hadoop cluster to Google Cloud

    Competencies: Digital : BigData and Hadoop Ecosystem - MapR, Digital : Google Data Engineering

    Experience (Years): 8-10

    Essential Skills: Combination of technical expertise, hands-on experience with data science tools and methodologies, familiarity with cloud technologies, and the ability to drive impactful insights from data. Ability to work with Data Engineer and recommend suggestion to pipeline changes for staging strategy for technical critical (pipeline performance, data model, scheduler arrangement for data availability).

    Desirable Skills: Certified as Professional Data Engineer - GCP will be addition .Python & PySpark

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4007027318,https://ca.linkedin.com/jobs/view/data-scientist-at-valnet-4007027318?position=3&pageNum=5&refId=5mWidMaM05Z9rLTVcBabTQ%3D%3D&trackingId=nQH3yqg2Zzm3roXMNH3yhA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Valnet,"Montreal, Quebec, Canada","Location: Montreal, Full-Time, Mid-Level Experience + + + + + + + +Who we are: + +Founded in 2012 in Montreal, Quebec, Valnet Inc. is the leading digital publishing and media investment Company that owns and operates over 25 authoritative brands across diverse verticals, including entertainment, sports, technology, automotive, gaming, lifestyle and travel. + + + + +The Opportunity: + +Valnet is looking for a talented, versatile and passionate professional to join its IT team. The successful candidate will be handling a broad range of responsibilities including enhancing the quality of IT products and websites, analyzing data to present informed business decisions and identifying technological solutions to execute on assigned projects. + +The ideal candidate must be highly analytical and well versed in IT analysis, possess excellent interpersonal skills and have experience working in an executive team environment + + + + +What you will be doing: + +Be the main communication channel between the IT department and the executive branch. +Participate in the prioritization of development. +Determine if solutions are successfully addressing identified problems. +Utilizing IT experience and knowledge for business insights. +Collaborating with Product Managers to develop technological solutions to business requirements. +Analyzing data to present informed business decisions. + + + + +What you need to succeed: + +Degree in computer engineering, business administration, or related field. +Ability to communicate business needs in agile format +3+ years in a technology-driven role. +Excellent problem-solving skills. +Analytical mindset. +Attention to detail. +Jira experience considered an asset +Highly organized with project management abilities. +Ability to manage multiple, concurrent projects and priorities. +Ability to work in a fast-paced environment autonomously as well as in a team. +Excellent verbal and written communication skills in English. + + + + +Why Work for Us? + +Valnet offers careers for the driven. Every new hire has the opportunity to go beyond their day-to-day responsibilities and have a meaningful impact on the business. Your career has the potential to evolve and is ripe with opportunities to expand and diversify year over year. Hard work and dedication are well rewarded through competitive compensation plans, bonus structures, and perks catered to your work location. + +Show more ","
    + + + + + +
    +
    +

    Location: Montreal, Full-Time, Mid-Level Experience



    Who we are:

    Founded in 2012 in Montreal, Quebec, Valnet Inc. is the leading digital publishing and media investment Company that owns and operates over 25 authoritative brands across diverse verticals, including entertainment, sports, technology, automotive, gaming, lifestyle and travel.


    The Opportunity:

    Valnet is looking for a talented, versatile and passionate professional to join its IT team. The successful candidate will be handling a broad range of responsibilities including enhancing the quality of IT products and websites, analyzing data to present informed business decisions and identifying technological solutions to execute on assigned projects.

    The ideal candidate must be highly analytical and well versed in IT analysis, possess excellent interpersonal skills and have experience working in an executive team environment


    What you will be doing:

    • Be the main communication channel between the IT department and the executive branch.
    • Participate in the prioritization of development.
    • Determine if solutions are successfully addressing identified problems.
    • Utilizing IT experience and knowledge for business insights.
    • Collaborating with Product Managers to develop technological solutions to business requirements.
    • Analyzing data to present informed business decisions.


    What you need to succeed:

    • Degree in computer engineering, business administration, or related field.
    • Ability to communicate business needs in agile format
    • 3+ years in a technology-driven role.
    • Excellent problem-solving skills.
    • Analytical mindset.
    • Attention to detail.
    • Jira experience considered an asset
    • Highly organized with project management abilities.
    • Ability to manage multiple, concurrent projects and priorities.
    • Ability to work in a fast-paced environment autonomously as well as in a team.
    • Excellent verbal and written communication skills in English.


    Why Work for Us?

    Valnet offers careers for the driven. Every new hire has the opportunity to go beyond their day-to-day responsibilities and have a meaningful impact on the business. Your career has the potential to evolve and is ripe with opportunities to expand and diversify year over year. Hard work and dedication are well rewarded through competitive compensation plans, bonus structures, and perks catered to your work location.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +4006359753,https://ca.linkedin.com/jobs/view/data-scientist-1-at-providence-health-care-4006359753?position=4&pageNum=5&refId=5mWidMaM05Z9rLTVcBabTQ%3D%3D&trackingId=xtjf5qXNa6Lr8l0d2paoyg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist 1,Providence Health Care,"Vancouver, British Columbia, Canada","The salary range for this position is CAD $38.12/Hr. - CAD $54.80/Hr. + +Providence Health Care is now accepting applications for a Data Scientist to join our team. + +Reporting to the Senior Manager, Advanced Modeling & Optimization, the Data Scientist I works as part of a team to analyze structured and unstructured data, model complex problems, and identify opportunities for process and product optimization by using statistical, algorithmic, mining, and visual techniques. This role assists in developing machine learning (ML) predictive and prescriptive analytics models through the innovative understanding and use of large data sets and the verification of effectiveness to improve clinical processes and patient outcomes. The Data Scientist I supports Providence Health Care (PHC) strategic priorities by understanding the clinical, financial, and operational issues to be solved and working closely with stakeholders, clinical and technical experts, and functional teams to leverage knowledge, interpret outputs, deploy solutions, and provide actionable insights. The role also assists in developing a solid and sustainable machine learning foundation and competency for PHC. + +Your duties will include + + +Data Science and ML Model Development Design, build, and implement data science and machine learning models to identify patterns, trends, and opportunities, collaborating with clinical and management teams to improve various clinical domains. +Data Integration and Preparation Identify, clean, and integrate large datasets from disparate sources, enhance data collection procedures, and provide input on data quality for applications and systems. +Advanced Modeling and Analytics Work with the Advanced Modeling & Optimization team to develop predictive and prescriptive analytic models, analyze and deploy data science models on cloud environments (Azure/AWS), and provide strategic recommendations to management. +Stakeholder Collaboration and AI Product Development Collaborate with stakeholders to develop and implement AI products aligned with PHC's strategic priorities, improve AI product performance, and stay updated with the latest technology trends and methods. + + + +Education + +A Masters' Degree in Mathematics, Statistics, Computer Science, Engineering or other quantitative degree is required plus one (1) years' experience working with large datasets and machine learning models including experience using statistical and data mining techniques, and distributed data/computing tools; writing computer code; querying databases; and using statistical computer languages, or an equivalent combination of education, training and experience. + +Skills And Abilities + + +Knowledge of supervised machine learning, decision trees, and logistic regression. +Display comprehensive understanding of, and skills using, statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, network analysis, simulation, scenario analysis, and clustering analysis. +Demonstrated ability to perform analytical functions and transform database structures including creating datasets and writing computer code to execute complex queries using statistical computer languages such as Python, R, and SQL. +Demonstrated proficiency working with large volumes of data across multiple servers using distributed data/computing tools such as Hadoop, Spark, MySQL, AWS, etc. +Demonstrated proficiency working with both relational (SQL) and non-relational databases (NoSQL). +Demonstrated understanding of data privacy, security and related tools such as anonymization and encryption +Demonstrated ability to use Azure/AWS cloud resources. +Demonstrated skills in using data visualization tools (such as Tableau, Power BI, Matplotlib, D3, ggplot) and to visually present complex data to stakeholders for consideration. +Excellent oral and written communication skills and ability to clearly and fluently translate technical findings to non-technical partners and to communicate to multiple audiences using data storytelling and through graphics. +Demonstrated ability to work collaboratively in an interdisciplinary environment and to develop recommendations using facilitation and consensus building. +Strong analytical, critical thinking, and evaluation skills to discern and help solve the important problems facing health care, to identify new ways to leverage our data, and to direct efforts in the right direction. +Competitive salary $74,618 - $107,264 CAD per year, depending on experience +Comprehensive benefits Eligible employees receive a robust medical and dental benefits package, including 4 weeks paid vacation starting. +Pension plan Work towards a comfortable retirement through employer-matched contributions to one of Canada's strongest pension plans! +Meaningful impact Your dedication and expertise will directly impact the lives of patients, including many from marginalized communities, helping contribute to the public healthcare system we're privileged to have here in BC. +Growth opportunities We welcome individuals at all stages of their career, offering opportunities for professional development and growth. +State-of-the-art facilities  The new St. Paul’s Hospital and health campus will be the most innovative approach to the delivery of integrated care in B.C. and Canada, designed to appropriately address the future health needs of patients, families and our communities. From hospital care to primary and community health solutions, the new St. Paul’s Hospital and health campus will continue to lead innovations in care, research, and teaching. The new St. Paul’s Hospital is expected to open in 2027. +Inclusive culture We respect the diversity, dignity and interdependence of all persons. We value the cultural richness that our diverse workforce brings to the care of our equally diverse population of patients and residents. + + + +Who we are + +Providence is a non-profit healthcare provider with over fifteen sites, including a large tertiary hospital in the heart of Vancouver’s beautiful and vibrant Downtown, a smaller community hospital in the idyllic Mount Pleasant neighborhood, one of the largest referral centres for rehabilitation in British Columbia, and five long-term care facilities, as well as other clinics. + +As a leading teaching and research organization, and the provincial referral center for Cardiac, HIV/AIDS, and Renal Care, we provide services ranging from acute and long-term care to leading substance use and addiction treatment supporting some of BC’s most marginalized communities. Guided by the motto “how you want to be treated”, delivering exceptional patient and family-centered care is our mission. + +Curious about working at PHC and our culture? Check out the video below to learn more and meet some of the members of the team you'd be joining + +Your Day to Day + + +Designs, builds and implements data science and machine learning models by working as part of the Advanced Modeling & Optimization team and with clinical management and staff, project/program managers, and members of the health informatics team. Identify patterns, trends, and opportunities to assist in making predictions or reducing workload that will have a significant impact across various clinical domains within PHC. +Identifies, cleans, and integrates large sets of structured and unstructured datasets from disparate sources for use in ML models and products. Enhances data collection procedures to include information that is relevant for building advanced ML models. Provides input to applications, databases, and systems used to assess study data quality. +Works as part of the Advanced Modeling & Optimization team to use advanced ML processes to convert data from non-functional forms, such as scanned image text, to functional forms ready for use in further ML models. +Assists in analyzing, testing, and deploying data science models and applications on cloud environment (Azure/AWS). +Assists in developing predictive and prescriptive analytic models and reports in support of the organization's clinical and business initiatives and priorities by working as part of the Advanced Modeling & Optimization team to apply advanced statistical and computational methods and innovative use of data, collaborate with Developers in the construction of analytic models, and maintain detailed project status plans to achieve ML development cycle timelines and avoid development delays. +Works with other members of the Advanced Modeling & Optimization team to assist with recommendations to management regarding strategic actions to maintain the ML development pipeline, analytic architectures, and life cycle, to avoid potential negative consequences and system failures, and to increase the positive impacts of ML systems. +Works closely with clinical and management teams across PHC to strategize, develop, and implement artificial intelligence (AI) products that translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies, and process improvements. +Identifies, engages, and collaborates with specific stakeholders as required for the development of AI products designed around PHC's strategic priorities and clinical/business problems. Assesses and implements improvements to AI products as needed and creates anomaly detection systems to track performance and data accuracy. +Keeps up-to-date with the latest technology trends and methods by staying abreast of state-of-the-art literature in the fields of data science, operations research, and artificial intelligence. +Performs other related duties as required. + + + +We acknowledge that Providence Health Care and the new St. Paul’s Hospital site is located on the traditional, ancestral, and unceded territory of the Coast Salish Peoples, including the territories of the xʷməθkwəy̓əm (Musqueam), Skwxwú7mesh (Squamish), and Səl̓ílwətaʔ/Selilwitulh (Tsleil-Waututh) Nations. +Show more ","
    + + + + + +
    +
    + The salary range for this position is CAD $38.12/Hr. - CAD $54.80/Hr.

    Providence Health Care is now accepting applications for a Data Scientist to join our team.

    Reporting to the Senior Manager, Advanced Modeling & Optimization, the Data Scientist I works as part of a team to analyze structured and unstructured data, model complex problems, and identify opportunities for process and product optimization by using statistical, algorithmic, mining, and visual techniques. This role assists in developing machine learning (ML) predictive and prescriptive analytics models through the innovative understanding and use of large data sets and the verification of effectiveness to improve clinical processes and patient outcomes. The Data Scientist I supports Providence Health Care (PHC) strategic priorities by understanding the clinical, financial, and operational issues to be solved and working closely with stakeholders, clinical and technical experts, and functional teams to leverage knowledge, interpret outputs, deploy solutions, and provide actionable insights. The role also assists in developing a solid and sustainable machine learning foundation and competency for PHC.

    Your duties will include

    • Data Science and ML Model Development Design, build, and implement data science and machine learning models to identify patterns, trends, and opportunities, collaborating with clinical and management teams to improve various clinical domains.
    • Data Integration and Preparation Identify, clean, and integrate large datasets from disparate sources, enhance data collection procedures, and provide input on data quality for applications and systems.
    • Advanced Modeling and Analytics Work with the Advanced Modeling & Optimization team to develop predictive and prescriptive analytic models, analyze and deploy data science models on cloud environments (Azure/AWS), and provide strategic recommendations to management.
    • Stakeholder Collaboration and AI Product Development Collaborate with stakeholders to develop and implement AI products aligned with PHC's strategic priorities, improve AI product performance, and stay updated with the latest technology trends and methods.


    Education

    A Masters' Degree in Mathematics, Statistics, Computer Science, Engineering or other quantitative degree is required plus one (1) years' experience working with large datasets and machine learning models including experience using statistical and data mining techniques, and distributed data/computing tools; writing computer code; querying databases; and using statistical computer languages, or an equivalent combination of education, training and experience.

    Skills And Abilities

    • Knowledge of supervised machine learning, decision trees, and logistic regression.
    • Display comprehensive understanding of, and skills using, statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, network analysis, simulation, scenario analysis, and clustering analysis.
    • Demonstrated ability to perform analytical functions and transform database structures including creating datasets and writing computer code to execute complex queries using statistical computer languages such as Python, R, and SQL.
    • Demonstrated proficiency working with large volumes of data across multiple servers using distributed data/computing tools such as Hadoop, Spark, MySQL, AWS, etc.
    • Demonstrated proficiency working with both relational (SQL) and non-relational databases (NoSQL).
    • Demonstrated understanding of data privacy, security and related tools such as anonymization and encryption
    • Demonstrated ability to use Azure/AWS cloud resources.
    • Demonstrated skills in using data visualization tools (such as Tableau, Power BI, Matplotlib, D3, ggplot) and to visually present complex data to stakeholders for consideration.
    • Excellent oral and written communication skills and ability to clearly and fluently translate technical findings to non-technical partners and to communicate to multiple audiences using data storytelling and through graphics.
    • Demonstrated ability to work collaboratively in an interdisciplinary environment and to develop recommendations using facilitation and consensus building.
    • Strong analytical, critical thinking, and evaluation skills to discern and help solve the important problems facing health care, to identify new ways to leverage our data, and to direct efforts in the right direction.
    • Competitive salary $74,618 - $107,264 CAD per year, depending on experience
    • Comprehensive benefits Eligible employees receive a robust medical and dental benefits package, including 4 weeks paid vacation starting.
    • Pension plan Work towards a comfortable retirement through employer-matched contributions to one of Canada's strongest pension plans!
    • Meaningful impact Your dedication and expertise will directly impact the lives of patients, including many from marginalized communities, helping contribute to the public healthcare system we're privileged to have here in BC.
    • Growth opportunities We welcome individuals at all stages of their career, offering opportunities for professional development and growth.
    • State-of-the-art facilities  The new St. Paul’s Hospital and health campus will be the most innovative approach to the delivery of integrated care in B.C. and Canada, designed to appropriately address the future health needs of patients, families and our communities. From hospital care to primary and community health solutions, the new St. Paul’s Hospital and health campus will continue to lead innovations in care, research, and teaching. The new St. Paul’s Hospital is expected to open in 2027.
    • Inclusive culture We respect the diversity, dignity and interdependence of all persons. We value the cultural richness that our diverse workforce brings to the care of our equally diverse population of patients and residents.


    Who we are

    Providence is a non-profit healthcare provider with over fifteen sites, including a large tertiary hospital in the heart of Vancouver’s beautiful and vibrant Downtown, a smaller community hospital in the idyllic Mount Pleasant neighborhood, one of the largest referral centres for rehabilitation in British Columbia, and five long-term care facilities, as well as other clinics.

    As a leading teaching and research organization, and the provincial referral center for Cardiac, HIV/AIDS, and Renal Care, we provide services ranging from acute and long-term care to leading substance use and addiction treatment supporting some of BC’s most marginalized communities. Guided by the motto “how you want to be treated”, delivering exceptional patient and family-centered care is our mission.

    Curious about working at PHC and our culture? Check out the video below to learn more and meet some of the members of the team you'd be joining

    Your Day to Day

    • Designs, builds and implements data science and machine learning models by working as part of the Advanced Modeling & Optimization team and with clinical management and staff, project/program managers, and members of the health informatics team. Identify patterns, trends, and opportunities to assist in making predictions or reducing workload that will have a significant impact across various clinical domains within PHC.
    • Identifies, cleans, and integrates large sets of structured and unstructured datasets from disparate sources for use in ML models and products. Enhances data collection procedures to include information that is relevant for building advanced ML models. Provides input to applications, databases, and systems used to assess study data quality.
    • Works as part of the Advanced Modeling & Optimization team to use advanced ML processes to convert data from non-functional forms, such as scanned image text, to functional forms ready for use in further ML models.
    • Assists in analyzing, testing, and deploying data science models and applications on cloud environment (Azure/AWS).
    • Assists in developing predictive and prescriptive analytic models and reports in support of the organization's clinical and business initiatives and priorities by working as part of the Advanced Modeling & Optimization team to apply advanced statistical and computational methods and innovative use of data, collaborate with Developers in the construction of analytic models, and maintain detailed project status plans to achieve ML development cycle timelines and avoid development delays.
    • Works with other members of the Advanced Modeling & Optimization team to assist with recommendations to management regarding strategic actions to maintain the ML development pipeline, analytic architectures, and life cycle, to avoid potential negative consequences and system failures, and to increase the positive impacts of ML systems.
    • Works closely with clinical and management teams across PHC to strategize, develop, and implement artificial intelligence (AI) products that translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies, and process improvements.
    • Identifies, engages, and collaborates with specific stakeholders as required for the development of AI products designed around PHC's strategic priorities and clinical/business problems. Assesses and implements improvements to AI products as needed and creates anomaly detection systems to track performance and data accuracy.
    • Keeps up-to-date with the latest technology trends and methods by staying abreast of state-of-the-art literature in the fields of data science, operations research, and artificial intelligence.
    • Performs other related duties as required.


    We acknowledge that Providence Health Care and the new St. Paul’s Hospital site is located on the traditional, ancestral, and unceded territory of the Coast Salish Peoples, including the territories of the xʷməθkwəy̓əm (Musqueam), Skwxwú7mesh (Squamish), and Səl̓ílwətaʔ/Selilwitulh (Tsleil-Waututh) Nations. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-21,[] +3983409189,https://ca.linkedin.com/jobs/view/data-scientist-at-priceline-3983409189?position=5&pageNum=5&refId=5mWidMaM05Z9rLTVcBabTQ%3D%3D&trackingId=8r8qdnDUMGBIamPjEZDjVA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Priceline,"Toronto, Ontario, Canada","This role is eligible for our hybrid work model: 2 days in-office. + +Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place. + +We’re a data-driven organization, which makes our Analytics and Data Science teams the brains of our operation. On the cutting edge of customer and business analytics, they make sure all our decisions and innovations are based on the latest insights. + +Why This Job’s a Big Deal + +As a Data Scientist, you will be a key member for Priceline’s center of excellence for models- and data-based decision making. You will have the opportunity to build models that leverage advanced analytics, statistics, econometrics, and quantitative methodologies while striving to serve the company’s mission to be the best travel deal maker in the world. + +In This Role You Will Get To + + +Leverage data analyses, modeling, and visualization tools such as Python and/or R, Jupyter, MySQL, Apache Airflow, Google BigQueryHadoop, Google Dataflow, Google Vertex AI, Google Storage, Tableau, and nd others. +Develop models that leverage data collected from transactional information +Work alongside data engineers, ML engineers, MLops, and Backend API engineers to operationalize models in production. +Work with Data, Product and Technology teams to make inference and drive business decisions based on model outputs. +Define, understand, and test opportunities to improve the product, and measure success of product efforts through forecasting and monitoring of key product metrics to understand trends. + + +Who You Are + + +Bachelor or Masters degree in a quantitative or computational field (ie, Math, Statistics, Operations Research, Computer Science or Physics ) +A minimum of 2 years of work experience in data science. +Proficient in a programming language used for data analysis (Python/R) and query knowledge (SQL). +Hands on experience in building statistical or econometrics models in an educational or commercial setting. +Experience with developing, scheduling, and monitoring batch-oriented workflows through platforms like Apache Airflow, Kubeflow, etc. +Experience with ML computing on premise or cloud platforms like Google Cloud, AWS, Microsoft Azure, etc. +Familiarity with object-oriented programming languages is a plus. +Familiarity with the A/B test concept and underlying hypothesis is a plus. +Familiarity with the Agile system is a plus. +Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust. +The Right Results, the Right Way is not just a motto at Priceline; it’s a way of life. Unquestionable integrity and ethics is essential. +There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. In addition to a competitive base salary, certain roles may be eligible for an annual bonus and/or equity grant. + + +Who We Are + +WE ARE PRICELINE. + +Our success as one of the biggest players in online travel is all thanks to our incredible, dedicated team of talented employees. Priceliners are focused on being the best travel deal makers in the world, motivated by our passion to help everyone experience the moments that matter most in their lives. Whether it’s a dream vacation, your cousin’s graduation, or your best friend’s wedding - we make travel affordable and accessible to our customers. + +Our culture is unique and inspiring (that’s what our employees tell us). We’re a grown-up, startup. We deliver the excitement of a new venture, without the struggles and chaos that can come with a business that hasn’t stabilized. + +We’re on the cutting edge of innovative technologies. We keep the customer at the center of all that we do. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration. + +Priceline is part of the Booking Holdings, Inc. (Nasdaq: BKNG) family of companies, a highly profitable global online travel company with a market capitalization of over $80 billion. Our sister companies include Booking.com, BookingGo, Agoda, Kayak and OpenTable. + +If you want to be part of something truly special, check us out! + +Flexible work at Priceline + +Priceline is following a hybrid working model, which includes two days onsite as determined by you and your manager (ideally selecting among Tuesday, Wednesday, or Thursday). On the remaining days, you can choose to be remote or in the office. + +Diversity and Inclusion are a Big Deal! + +To be the best travel dealmakers in the world, it’s important we have a workforce that reflects the diverse customers and communities we serve. We are committed to cultivating a culture where all employees have the freedom to bring their individual perspectives, life experiences, and passion to work. + +Priceline is a proud equal opportunity employer. We embrace and celebrate the unique lenses through which our employees see the world. We’d love you to join us and add to our rich mix! + +Applying for this position + +We're excited that you are interested in a career with us. For all current employees, please use the internal portal to find jobs and apply. + +External candidates are required to have an account before applying. When you click Apply, returning candidates can log in, or new candidates can quickly create an account to save/view applications. + + +Show more ","
    + + + + + +
    +
    + This role is eligible for our hybrid work model: 2 days in-office.

    Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place.

    We’re a data-driven organization, which makes our Analytics and Data Science teams the brains of our operation. On the cutting edge of customer and business analytics, they make sure all our decisions and innovations are based on the latest insights.

    Why This Job’s a Big Deal

    As a Data Scientist, you will be a key member for Priceline’s center of excellence for models- and data-based decision making. You will have the opportunity to build models that leverage advanced analytics, statistics, econometrics, and quantitative methodologies while striving to serve the company’s mission to be the best travel deal maker in the world.

    In This Role You Will Get To

    • Leverage data analyses, modeling, and visualization tools such as Python and/or R, Jupyter, MySQL, Apache Airflow, Google BigQueryHadoop, Google Dataflow, Google Vertex AI, Google Storage, Tableau, and nd others.
    • Develop models that leverage data collected from transactional information
    • Work alongside data engineers, ML engineers, MLops, and Backend API engineers to operationalize models in production.
    • Work with Data, Product and Technology teams to make inference and drive business decisions based on model outputs.
    • Define, understand, and test opportunities to improve the product, and measure success of product efforts through forecasting and monitoring of key product metrics to understand trends.

    Who You Are

    • Bachelor or Masters degree in a quantitative or computational field (ie, Math, Statistics, Operations Research, Computer Science or Physics )
    • A minimum of 2 years of work experience in data science.
    • Proficient in a programming language used for data analysis (Python/R) and query knowledge (SQL).
    • Hands on experience in building statistical or econometrics models in an educational or commercial setting.
    • Experience with developing, scheduling, and monitoring batch-oriented workflows through platforms like Apache Airflow, Kubeflow, etc.
    • Experience with ML computing on premise or cloud platforms like Google Cloud, AWS, Microsoft Azure, etc.
    • Familiarity with object-oriented programming languages is a plus.
    • Familiarity with the A/B test concept and underlying hypothesis is a plus.
    • Familiarity with the Agile system is a plus.
    • Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust.
    • The Right Results, the Right Way is not just a motto at Priceline; it’s a way of life. Unquestionable integrity and ethics is essential.
    • There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. In addition to a competitive base salary, certain roles may be eligible for an annual bonus and/or equity grant.

    Who We Are

    WE ARE PRICELINE.

    Our success as one of the biggest players in online travel is all thanks to our incredible, dedicated team of talented employees. Priceliners are focused on being the best travel deal makers in the world, motivated by our passion to help everyone experience the moments that matter most in their lives. Whether it’s a dream vacation, your cousin’s graduation, or your best friend’s wedding - we make travel affordable and accessible to our customers.

    Our culture is unique and inspiring (that’s what our employees tell us). We’re a grown-up, startup. We deliver the excitement of a new venture, without the struggles and chaos that can come with a business that hasn’t stabilized.

    We’re on the cutting edge of innovative technologies. We keep the customer at the center of all that we do. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration.

    Priceline is part of the Booking Holdings, Inc. (Nasdaq: BKNG) family of companies, a highly profitable global online travel company with a market capitalization of over $80 billion. Our sister companies include Booking.com, BookingGo, Agoda, Kayak and OpenTable.

    If you want to be part of something truly special, check us out!

    Flexible work at Priceline

    Priceline is following a hybrid working model, which includes two days onsite as determined by you and your manager (ideally selecting among Tuesday, Wednesday, or Thursday). On the remaining days, you can choose to be remote or in the office.

    Diversity and Inclusion are a Big Deal!

    To be the best travel dealmakers in the world, it’s important we have a workforce that reflects the diverse customers and communities we serve. We are committed to cultivating a culture where all employees have the freedom to bring their individual perspectives, life experiences, and passion to work.

    Priceline is a proud equal opportunity employer. We embrace and celebrate the unique lenses through which our employees see the world. We’d love you to join us and add to our rich mix!

    Applying for this position

    We're excited that you are interested in a career with us. For all current employees, please use the internal portal to find jobs and apply.

    External candidates are required to have an account before applying. When you click Apply, returning candidates can log in, or new candidates can quickly create an account to save/view applications.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-14,[] +4001826698,https://ca.linkedin.com/jobs/view/clinical-scientist-at-myant-4001826698?position=6&pageNum=5&refId=5mWidMaM05Z9rLTVcBabTQ%3D%3D&trackingId=7g8gFa6rkvtr8EaNGdZadg%3D%3D&trk=public_jobs_jserp-result_search-card,Clinical Scientist,Myant,"Mississauga, Ontario, Canada","About Us: + +At Myant, we are creating the world’s first expressive and continuous digital presence platform, enabled by integrating technology directly into clothing and augmented by other devices, wearables, and IOT. We see the evolution of society where every member gets to participate from anywhere and anytime through a whole-body experience, mostly in a passive or ambient manner to foster ubiquitous accessibility. Humans have a fundamental desire and need to be connected to our environment, family, community and technology. This level of connection will create a paradigm shift in the way we deal with each other, especially from afar, allowing for more meaningful relationships, and more in-depth representation of ourselves. + +The need for this type of connection is not new. There are many companies working on ways to connect humans in singularity with technology, however most of these technologies are based on devices that are often used in episodical ways hence, leading to poor adoption or reliability. In general, innovation and technology have delivered significant benefits for many members of society however, there are those who are left behind, namely the very young, the marginalized, the old and the sick. The challenge of inclusion for those left behind requires us to move beyond device focused strategies, towards an interface that we use naturally, every day. We believe that textile is that primary interface, used in clothing, coverings, carpeting and more, we wear and are surrounded by textiles universally, at all times. + +Such an interface could fuse data with other devices that we use periodically and data with other IoTs in the environment. People could then leverage their physical presence over their digital presence to communicate and share personal wellbeing. This could unlock healthcare that is proactive and preventative, social connectedness that is more profound, enable care distribution models to be seamless and on demand, better fitness insights, safer working environments and more. + +The vision for SKIIN -our first consumer-facing brand- is to enhance human ability through connected clothing and textiles. Skiin is in beta-phase market launch and has been recently granted Health Canada medical device license and submitted to FDA for regulatory approval in the US market. The sensors and actuators embedded within our apparel create your Digital Identity, which will be consumed by those who matter to you - your family members, physicians, trainers, other IoT devices - without you consciously having to think about it. The line between the digital and physical world is becoming increasingly blurry and we believe textile is the next medium to bridge that gap. + +We are a multi-disciplinary technology team solving big challenges at the intersection of fashion, electronics, software, and data science. + +The Role: + +We are seeking a highly motivated and versatile clinical scientist to join the Clinical Sciences team of the Science and Technology department. The successful candidate will have the opportunity to contribute to ideation, high-level design, and then testing of medical device prototypes based on e-textiles. + +To be successful, the candidate must have a strong background in interacting and collecting data with real-world patients of diverse medical conditions, a perfect mastering of the scientific method and knowledge of the clinical trial methodologies (quantitative, qualitative, and mixed methods), and experience in the redaction of scientific reports and papers. + +Experience with bio-signals and/or low-power wearable systems would be an important asset. Applicants should have a keen eye for solving problems that currently do not have well defined solutions and be able to rapidly design/prototype these ideas. + +The successful candidate will join a multidisciplinary team of scientists, engineers, textile experts, fashion designers and entrepreneurs to actively participate in the creation and optimization of new products and should be able to effectively work in multi-disciplinary teams. + +Responsibilities: + + +Research, design, and test for the development of the next generation of smart textiles +Rapid ideation, implementation, and validation of biosignal measuring methods and/or devices +Work closely with a variety of people/teams with different disciplines (mechanical, firmware, data science, software, industrial design, textile, quality assurance, regulatory) and mutually educate each other to allow effective teamwork +Aid in the testing of prototypes and debug issues on the fly +Conducting research and designing protocols to study the attitude towards Myant product and any resulting behavior change +Integrating the Myant products in the care relationship +Capturing user perspectives from elderly, health care professionals, and other adults with and without health conditions +Write, edit, and amend protocol for internal and external testing, in accordance with company's quality control policy and with Research Ethics Board, respectively +Maintain fluid and productive relationships with partners (universities, start-ups, corporations) +Coordinating clinical studies in partnership with other institutions +Participating in Conferences, Webinars and sharing the experience with other teams +Developing and updating the Standard Operating Procedures and forms relevant to the Clinical Sciences team, in partnership with the regulatory team + + +Qualifications: + + +PhD in a field related to Clinical Sciences +Background in Physiotherapy/physical therapy/kinesiology or related discipline is an asset +2-5 years of clinical experience, particularly in geriatric and/or cardiology care +Strong analytical, problem solving, and leadership capabilities +Ability to contribute and work effectively in a fast-paced, multidisciplinary environment +Understanding of biosignals and signal processing techniques would be an important asset + + +What we offer at Myant: + + +Free SKIIN Employee Kit +Employee stock options +Paid Sick Days and Personal Days +Group Health Insurance Plan +Employee Referral Program +Corporate Events +Exposure working in one of the most innovative and forward-thinking start-ups that is passionate and dedicated towards the healthcare industry + + +Powered by JazzHR + +wnKHEe5mFt +Show more ","
    + + + + + +
    +
    + About Us:

    At Myant, we are creating the world’s first expressive and continuous digital presence platform, enabled by integrating technology directly into clothing and augmented by other devices, wearables, and IOT. We see the evolution of society where every member gets to participate from anywhere and anytime through a whole-body experience, mostly in a passive or ambient manner to foster ubiquitous accessibility. Humans have a fundamental desire and need to be connected to our environment, family, community and technology. This level of connection will create a paradigm shift in the way we deal with each other, especially from afar, allowing for more meaningful relationships, and more in-depth representation of ourselves.

    The need for this type of connection is not new. There are many companies working on ways to connect humans in singularity with technology, however most of these technologies are based on devices that are often used in episodical ways hence, leading to poor adoption or reliability. In general, innovation and technology have delivered significant benefits for many members of society however, there are those who are left behind, namely the very young, the marginalized, the old and the sick. The challenge of inclusion for those left behind requires us to move beyond device focused strategies, towards an interface that we use naturally, every day. We believe that textile is that primary interface, used in clothing, coverings, carpeting and more, we wear and are surrounded by textiles universally, at all times.

    Such an interface could fuse data with other devices that we use periodically and data with other IoTs in the environment. People could then leverage their physical presence over their digital presence to communicate and share personal wellbeing. This could unlock healthcare that is proactive and preventative, social connectedness that is more profound, enable care distribution models to be seamless and on demand, better fitness insights, safer working environments and more.

    The vision for SKIIN -our first consumer-facing brand- is to enhance human ability through connected clothing and textiles. Skiin is in beta-phase market launch and has been recently granted Health Canada medical device license and submitted to FDA for regulatory approval in the US market. The sensors and actuators embedded within our apparel create your Digital Identity, which will be consumed by those who matter to you - your family members, physicians, trainers, other IoT devices - without you consciously having to think about it. The line between the digital and physical world is becoming increasingly blurry and we believe textile is the next medium to bridge that gap.

    We are a multi-disciplinary technology team solving big challenges at the intersection of fashion, electronics, software, and data science.

    The Role:

    We are seeking a highly motivated and versatile clinical scientist to join the Clinical Sciences team of the Science and Technology department. The successful candidate will have the opportunity to contribute to ideation, high-level design, and then testing of medical device prototypes based on e-textiles.

    To be successful, the candidate must have a strong background in interacting and collecting data with real-world patients of diverse medical conditions, a perfect mastering of the scientific method and knowledge of the clinical trial methodologies (quantitative, qualitative, and mixed methods), and experience in the redaction of scientific reports and papers.

    Experience with bio-signals and/or low-power wearable systems would be an important asset. Applicants should have a keen eye for solving problems that currently do not have well defined solutions and be able to rapidly design/prototype these ideas.

    The successful candidate will join a multidisciplinary team of scientists, engineers, textile experts, fashion designers and entrepreneurs to actively participate in the creation and optimization of new products and should be able to effectively work in multi-disciplinary teams.

    Responsibilities:

    • Research, design, and test for the development of the next generation of smart textiles
    • Rapid ideation, implementation, and validation of biosignal measuring methods and/or devices
    • Work closely with a variety of people/teams with different disciplines (mechanical, firmware, data science, software, industrial design, textile, quality assurance, regulatory) and mutually educate each other to allow effective teamwork
    • Aid in the testing of prototypes and debug issues on the fly
    • Conducting research and designing protocols to study the attitude towards Myant product and any resulting behavior change
    • Integrating the Myant products in the care relationship
    • Capturing user perspectives from elderly, health care professionals, and other adults with and without health conditions
    • Write, edit, and amend protocol for internal and external testing, in accordance with company's quality control policy and with Research Ethics Board, respectively
    • Maintain fluid and productive relationships with partners (universities, start-ups, corporations)
    • Coordinating clinical studies in partnership with other institutions
    • Participating in Conferences, Webinars and sharing the experience with other teams
    • Developing and updating the Standard Operating Procedures and forms relevant to the Clinical Sciences team, in partnership with the regulatory team

    Qualifications:

    • PhD in a field related to Clinical Sciences
    • Background in Physiotherapy/physical therapy/kinesiology or related discipline is an asset
    • 2-5 years of clinical experience, particularly in geriatric and/or cardiology care
    • Strong analytical, problem solving, and leadership capabilities
    • Ability to contribute and work effectively in a fast-paced, multidisciplinary environment
    • Understanding of biosignals and signal processing techniques would be an important asset

    What we offer at Myant:

    • Free SKIIN Employee Kit
    • Employee stock options
    • Paid Sick Days and Personal Days
    • Group Health Insurance Plan
    • Employee Referral Program
    • Corporate Events
    • Exposure working in one of the most innovative and forward-thinking start-ups that is passionate and dedicated towards the healthcare industry

    Powered by JazzHR

    wnKHEe5mFt +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-15,[] +4002866942,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-acceler8-talent-4002866942?position=7&pageNum=5&refId=5mWidMaM05Z9rLTVcBabTQ%3D%3D&trackingId=o8ZtfmmEZGA%2FpCfMN6CEQg%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Acceler8 Talent,"Vancouver, British Columbia, Canada","Introduction: We are seeking experienced Machine Learning Engineers to join our dynamic team. This role involves creating and deploying innovative algorithms and rigorously testing them in both simulated environments and real-world scenarios with our advanced robotic platforms. If you're passionate about leveraging cutting-edge haptic and proprioceptive sensing technologies, this opportunity is for you. + + + + +About the Company: Our company, a recognized leader in the tech industry, is known for pioneering advancements in AI and robotics. Our team comprises seasoned engineers, researchers, and scientists dedicated to addressing fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning. + + + + +About the Role: As a Machine Learning Engineer, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and algorithms. You will also implement scalable software solutions to integrate these models into production systems. This role offers a unique chance to explore and implement state-of-the-art ML methodologies in a collaborative environment. + + + + +What We Can Offer You: + +Strong base salary and equity package +Comprehensive medical, dental, and vision coverage +Life insurance and wellness programs +Stock options and paid time off (3 weeks’ vacation, paid holidays, and sick leave) +Flexible scheduling and worksite arrangements +Opportunities for professional development and mentorship + + + + +Key Responsibilities: + +Collaborate with teams to identify opportunities for applying machine learning techniques +Design, develop, and deploy machine learning models and algorithms +Implement scalable and efficient software solutions for production systems +Optimize and fine-tune machine learning algorithms +Conduct thorough testing and validation of models +Stay updated on the latest developments in machine learning +Provide technical guidance and mentorship to junior team members + + + + +Qualifications: + +Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field +3+ years of experience in various ML methods, including specialization in areas like dexterous manipulation, computer vision, or natural language processing +4+ years of experience in software engineering with a focus on production-grade applications +Proficiency in ROS2, parallel computing (CUDA, OpenMP, SSE), and Atlassian tools (Jira, GitLab, Confluence) +Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn +Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (Spark) is a plus +Strong proficiency in Python or C++ +Excellent problem-solving and communication skills + + + + +Join us as a Machine Learning Engineer and be part of a team pushing the boundaries of AI and robotics. Your expertise will help shape the future of intelligent machines. This position is hybrid, based in Vancouver, Canada. + + + + +Relevant Keywords: Machine Learning, Robotics, Computer Vision, TensorFlow, PyTorch, Reinforcement Learning, Software Engineering, Deep Learning, Artificial Intelligence + +Show more ","
    + + + + + +
    +
    +

    Introduction: We are seeking experienced Machine Learning Engineers to join our dynamic team. This role involves creating and deploying innovative algorithms and rigorously testing them in both simulated environments and real-world scenarios with our advanced robotic platforms. If you're passionate about leveraging cutting-edge haptic and proprioceptive sensing technologies, this opportunity is for you.


    About the Company: Our company, a recognized leader in the tech industry, is known for pioneering advancements in AI and robotics. Our team comprises seasoned engineers, researchers, and scientists dedicated to addressing fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning.


    About the Role: As a Machine Learning Engineer, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and algorithms. You will also implement scalable software solutions to integrate these models into production systems. This role offers a unique chance to explore and implement state-of-the-art ML methodologies in a collaborative environment.


    What We Can Offer You:

    • Strong base salary and equity package
    • Comprehensive medical, dental, and vision coverage
    • Life insurance and wellness programs
    • Stock options and paid time off (3 weeks’ vacation, paid holidays, and sick leave)
    • Flexible scheduling and worksite arrangements
    • Opportunities for professional development and mentorship


    Key Responsibilities:

    • Collaborate with teams to identify opportunities for applying machine learning techniques
    • Design, develop, and deploy machine learning models and algorithms
    • Implement scalable and efficient software solutions for production systems
    • Optimize and fine-tune machine learning algorithms
    • Conduct thorough testing and validation of models
    • Stay updated on the latest developments in machine learning
    • Provide technical guidance and mentorship to junior team members


    Qualifications:

    • Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field
    • 3+ years of experience in various ML methods, including specialization in areas like dexterous manipulation, computer vision, or natural language processing
    • 4+ years of experience in software engineering with a focus on production-grade applications
    • Proficiency in ROS2, parallel computing (CUDA, OpenMP, SSE), and Atlassian tools (Jira, GitLab, Confluence)
    • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn
    • Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (Spark) is a plus
    • Strong proficiency in Python or C++
    • Excellent problem-solving and communication skills


    Join us as a Machine Learning Engineer and be part of a team pushing the boundaries of AI and robotics. Your expertise will help shape the future of intelligent machines. This position is hybrid, based in Vancouver, Canada.


    Relevant Keywords: Machine Learning, Robotics, Computer Vision, TensorFlow, PyTorch, Reinforcement Learning, Software Engineering, Deep Learning, Artificial Intelligence

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +4006622872,https://ca.linkedin.com/jobs/view/data-scientist-at-allstate-canada-4006622872?position=8&pageNum=5&refId=5mWidMaM05Z9rLTVcBabTQ%3D%3D&trackingId=f3i96BPGqt9dgPihyBZf9w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Allstate Canada,"Markham, Ontario, Canada","At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. + +Job Description + +Who is Allstate: + +Allstate Insurance Company of Canada is a leading home and auto insurer focused on providing its customers prevention and protection products and services for every stage of life. The company is proud to have been named a Best Employer in Canada for nine consecutive years and prioritizes supporting employees and fostering an inclusive, welcoming corporate culture. Allstate is committed to making a positive difference in the communities in which it operates through partnerships with charitable organizations, employee giving and volunteerism. Serving Canadians since 1953, Allstate strives to provide reassurance with its ""You’re in Good Hands®"" promise. + +Through our Employee Value Proposition, Opportunity, Flexibility, Community, Diversity and Family, we have worked hard to develop and nurture a culture where employees feel valued, experience personal growth, have career options and truly enjoy the work they do. + +Role Designation: Hybrid + +Benefits To Joining Allstate + + +Flexible Work Arrangements +Employee discounts (15% on auto and property insurance, plus many other products and services) +Good Office program (receive up to 400$ back after purchasing office equipment) +Student Loan Payment Matching Program for Government Student loans +Comprehensive Retirement Savings Program with employer matched contributions +Annual Wellness allowance to support employees with improving health and wellbeing +Personal reflection day +Tuition Reimbursement +Working within the community and giving back! + + +Job description: + +Our team is growing and we are looking to hire an exceptional Data Scientist to synthesize our extensive policyholder and claims data into business enhancing predictive models that will ultimately impact the company’s bottom line. This is a unique opportunity to join a new, multidisciplinary team who work on high-impact projects to bring efficiencies to all functional areas of our business. The team works in a fast-paced environment, using techniques and algorithms best suited for solving challenging problems of the insurance industry. + +Accountabilities: + +The successful candidate will gain exposure to all aspects of insurance operations with respect to claims, underwriting and pricing, as well as general areas of business operations such as human resources and marketing, working on high impact actionable projects. You will learn the business knowledge of the prospective stakeholder through their information datasets. Combining quantitative data with business domain knowledge, you will transform them into predictive models that provide insights that ultimately produce new and creative analytic solutions as part of our core deliverables. This role will work hand in hand with data scientists, business stakeholders in developing models and identifying strategies to improve the company’s bottom line. + +Qualifications: + + +Minimum of 5 years of Machine Learning and analytics experience within a professional services firm or similar industrial environment. +Bachelor's degree or higher from an accredited college in a Mathematics, Statistics, Actuarial Sciences, Computer Science, Physics, Engineering or a related field . +Strong programming skills, ability to write production level code in Python, SQL and SAS. +Working experience in Machine learning algorithms, model implementation and optimization to solve Regression, Classification and Segmentation problems. +Experience with ML frameworks/libraries e.g. Scikit-learn, Pandas, Matplotlib, Seaborn, Tensor flow or Pytorch. +Business and analytics acumen to run and interpret the results of models - turn large amounts of complex, detailed information into clear summaries and business recommendations. +Excellent collaboration skills and the ability to work in a team environment and across multiple sites and business units. +Excellent communication and interpersonal skills - be able to effectively communicate complex results to a business audience not familiar with complex data and analytics. + + +Allstate Canada Group has policies and practices that provide workplace accommodations. If you require accommodation, please let us know and we will work with you to meet your needs. + +Skills + +Artificial Intelligence Markup Language, Business Acumen, Business Case Analyses, Business Recommendations, Communication, Customer Centricity, Data Analytics, Digital Literacy, Inclusive Leadership, Insurance, Learning Agility, Machine Learning Algorithms, Model Implementation, Optimization Models, Problem Solving, Project Management, Python (Programming Language), Results-Oriented, Statistical Analysis Systems (SAS) Programming, Structured Query Language (SQL), Team Collaboration + +Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good. + +You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. + +Good Hands. Greater Together.® +Show more ","
    + + + + + +
    +
    + At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

    Job Description

    Who is Allstate:

    Allstate Insurance Company of Canada is a leading home and auto insurer focused on providing its customers prevention and protection products and services for every stage of life. The company is proud to have been named a Best Employer in Canada for nine consecutive years and prioritizes supporting employees and fostering an inclusive, welcoming corporate culture. Allstate is committed to making a positive difference in the communities in which it operates through partnerships with charitable organizations, employee giving and volunteerism. Serving Canadians since 1953, Allstate strives to provide reassurance with its ""You’re in Good Hands®"" promise.

    Through our Employee Value Proposition, Opportunity, Flexibility, Community, Diversity and Family, we have worked hard to develop and nurture a culture where employees feel valued, experience personal growth, have career options and truly enjoy the work they do.

    Role Designation: Hybrid

    Benefits To Joining Allstate

    • Flexible Work Arrangements
    • Employee discounts (15% on auto and property insurance, plus many other products and services)
    • Good Office program (receive up to 400$ back after purchasing office equipment)
    • Student Loan Payment Matching Program for Government Student loans
    • Comprehensive Retirement Savings Program with employer matched contributions
    • Annual Wellness allowance to support employees with improving health and wellbeing
    • Personal reflection day
    • Tuition Reimbursement
    • Working within the community and giving back!

    Job description:

    Our team is growing and we are looking to hire an exceptional Data Scientist to synthesize our extensive policyholder and claims data into business enhancing predictive models that will ultimately impact the company’s bottom line. This is a unique opportunity to join a new, multidisciplinary team who work on high-impact projects to bring efficiencies to all functional areas of our business. The team works in a fast-paced environment, using techniques and algorithms best suited for solving challenging problems of the insurance industry.

    Accountabilities:

    The successful candidate will gain exposure to all aspects of insurance operations with respect to claims, underwriting and pricing, as well as general areas of business operations such as human resources and marketing, working on high impact actionable projects. You will learn the business knowledge of the prospective stakeholder through their information datasets. Combining quantitative data with business domain knowledge, you will transform them into predictive models that provide insights that ultimately produce new and creative analytic solutions as part of our core deliverables. This role will work hand in hand with data scientists, business stakeholders in developing models and identifying strategies to improve the company’s bottom line.

    Qualifications:

    • Minimum of 5 years of Machine Learning and analytics experience within a professional services firm or similar industrial environment.
    • Bachelor's degree or higher from an accredited college in a Mathematics, Statistics, Actuarial Sciences, Computer Science, Physics, Engineering or a related field .
    • Strong programming skills, ability to write production level code in Python, SQL and SAS.
    • Working experience in Machine learning algorithms, model implementation and optimization to solve Regression, Classification and Segmentation problems.
    • Experience with ML frameworks/libraries e.g. Scikit-learn, Pandas, Matplotlib, Seaborn, Tensor flow or Pytorch.
    • Business and analytics acumen to run and interpret the results of models - turn large amounts of complex, detailed information into clear summaries and business recommendations.
    • Excellent collaboration skills and the ability to work in a team environment and across multiple sites and business units.
    • Excellent communication and interpersonal skills - be able to effectively communicate complex results to a business audience not familiar with complex data and analytics.

    Allstate Canada Group has policies and practices that provide workplace accommodations. If you require accommodation, please let us know and we will work with you to meet your needs.

    Skills

    Artificial Intelligence Markup Language, Business Acumen, Business Case Analyses, Business Recommendations, Communication, Customer Centricity, Data Analytics, Digital Literacy, Inclusive Leadership, Insurance, Learning Agility, Machine Learning Algorithms, Model Implementation, Optimization Models, Problem Solving, Project Management, Python (Programming Language), Results-Oriented, Statistical Analysis Systems (SAS) Programming, Structured Query Language (SQL), Team Collaboration

    Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.

    You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

    Good Hands. Greater Together.® +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-23,[] +4004615316,https://ca.linkedin.com/jobs/view/machine-learning-engineer-genai-at-robinhood-4004615316?position=9&pageNum=5&refId=5mWidMaM05Z9rLTVcBabTQ%3D%3D&trackingId=ymjZNK274E0KPTPVae8Ktg%3D%3D&trk=public_jobs_jserp-result_search-card,"Machine Learning Engineer, GenAi",Robinhood,"Toronto, Ontario, Canada","Join a leading fintech company that’s democratizing finance for all. + +Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in. + +With growth as the top priority... + +The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply. + +About the team + role + +We are seeking a dedicated and ambitious individual to accelerate the development and expansion of products powered by Gen AI to democratize finance forl all at an unprecedented pace. + +In this role, you'll play a key part in Robinhood’s forward trajectory, collaborating closely with our adept Data Science and Engineering teams. The Gen AI team is devoted to bridging the transition of Gen AI & ML modeling work into production-grade applications. Robinhood operates at the intersection of data-driven insights and technological innovation. + +What You’ll Do + +In your role as a Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies. Your key responsibilities will include: + + +Development and Optimization of LLMs: Implement and fine-tune state-of-the-art Large Language Models for various applications, focusing on performance and accuracy. +Evaluating Model Performance: Conduct rigorous evaluations of LLMs, assessing effectiveness, efficiency, and business alignment. +Integration of Advanced AI Technologies: Implement Retrieval-Augmented Generation (RAG), function calling, and code interpreter technologies to enhance the capabilities of Large Language Models. +Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training. +Data and Model Parallel Training: Utilize data and model parallel training techniques for efficient handling of large-scale models. +GPU Cluster Management for Training: Oversee extensive training jobs on GPU clusters, ensuring optimal resource utilization for complex tasks. +Cross-Functional Collaboration and Leadership: Work with ML engineers, data scientists, and product teams, providing guidance and mentorship. +Documentation and Reporting: Maintain detailed documentation of methodologies, models, and results, and communicate findings across the organization. + + +What You Bring + + +Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. +Experience with LLMs and PyTorch: Extensive experience with large language models and proficiency in PyTorch. +Expertise in Parallel Training and GPU Cluster Management: Strong background in parallel training methods and managing large-scale training jobs on GPU clusters. +Analytical and Problem-Solving Skills: Ability to address complex challenges in model training and optimization. +Leadership and Mentorship Capabilities: Proven leadership in guiding projects and mentoring team members. +Communication and Collaboration Skills: Effective communication skills for conveying technical concepts and collaborating with cross-functional teams. +Innovation and Continuous Learning: Passion for staying updated with the latest trends in AI and machine learning. + + +Our team is here to enable an inclusive and welcoming interview experience for all candidates. If you need additional assistance throughout the interview process related to a physical or mental condition, or if there is something our team can do to enable a more accessible experience at any time, please notify our team by completing this Applicant Accommodation Form. + +Click here to learn more about available Benefits, which vary by region and Robinhood entity. + +We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes. + +Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying. +Show more ","
    + + + + + +
    +
    + Join a leading fintech company that’s democratizing finance for all.

    Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

    With growth as the top priority...

    The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.

    About the team + role

    We are seeking a dedicated and ambitious individual to accelerate the development and expansion of products powered by Gen AI to democratize finance forl all at an unprecedented pace.

    In this role, you'll play a key part in Robinhood’s forward trajectory, collaborating closely with our adept Data Science and Engineering teams. The Gen AI team is devoted to bridging the transition of Gen AI & ML modeling work into production-grade applications. Robinhood operates at the intersection of data-driven insights and technological innovation.

    What You’ll Do

    In your role as a Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies. Your key responsibilities will include:

    • Development and Optimization of LLMs: Implement and fine-tune state-of-the-art Large Language Models for various applications, focusing on performance and accuracy.
    • Evaluating Model Performance: Conduct rigorous evaluations of LLMs, assessing effectiveness, efficiency, and business alignment.
    • Integration of Advanced AI Technologies: Implement Retrieval-Augmented Generation (RAG), function calling, and code interpreter technologies to enhance the capabilities of Large Language Models.
    • Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training.
    • Data and Model Parallel Training: Utilize data and model parallel training techniques for efficient handling of large-scale models.
    • GPU Cluster Management for Training: Oversee extensive training jobs on GPU clusters, ensuring optimal resource utilization for complex tasks.
    • Cross-Functional Collaboration and Leadership: Work with ML engineers, data scientists, and product teams, providing guidance and mentorship.
    • Documentation and Reporting: Maintain detailed documentation of methodologies, models, and results, and communicate findings across the organization.

    What You Bring

    • Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing.
    • Experience with LLMs and PyTorch: Extensive experience with large language models and proficiency in PyTorch.
    • Expertise in Parallel Training and GPU Cluster Management: Strong background in parallel training methods and managing large-scale training jobs on GPU clusters.
    • Analytical and Problem-Solving Skills: Ability to address complex challenges in model training and optimization.
    • Leadership and Mentorship Capabilities: Proven leadership in guiding projects and mentoring team members.
    • Communication and Collaboration Skills: Effective communication skills for conveying technical concepts and collaborating with cross-functional teams.
    • Innovation and Continuous Learning: Passion for staying updated with the latest trends in AI and machine learning.

    Our team is here to enable an inclusive and welcoming interview experience for all candidates. If you need additional assistance throughout the interview process related to a physical or mental condition, or if there is something our team can do to enable a more accessible experience at any time, please notify our team by completing this Applicant Accommodation Form.

    Click here to learn more about available Benefits, which vary by region and Robinhood entity.

    We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

    Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-20,[] +3961303134,https://ca.linkedin.com/jobs/view/senior-data-scientist-at-braze-3961303134?position=10&pageNum=5&refId=5mWidMaM05Z9rLTVcBabTQ%3D%3D&trackingId=2YngvyuUXZnLyxAnvQAXUQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Braze,"British Columbia, Canada","At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. + +We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. + +To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. + +If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. + +What You’ll Do + +Braze is seeking a Senior Data Scientist to join our Intelligence team. The Braze Intelligence team’s mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions. You will help discover the scope of what is possible to improve customer engagement at scale. From that space of possibilities, you will also help select and support specific solutions as they go from prototype to product. + +As a Data Scientist, You Will + + +Collaborate with Product Managers and Engineers to build innovative ways to leverage data and improve decision-making for our customers +Explore and analyze the billions of daily data points that Braze’s customers generate in search of predictive, valuable, actionable signals +Build, analyze, and iterate on models that are best suited for the job, whether that’s supervised & unsupervised learning, reinforcement learning, neural networks, or simple regressions + + +WHO YOU ARE + + +5+ years of experience in the technology industry +5+ years of experience working with cloud or distributed systems and large customer datasets +Ph.D. in Computer Science, Applied Mathematics, or significant experience developing and deploying machine learning systems +Extensive experience prototyping, refining, and deploying predictive models and machine learning & AI neural networks +Experience working with Data Stores and frameworks such as TensorFlow and PyTorch + + +What We Offer + +Details of these benefits plan will be provided if a candidate receives an offer of employment. Benefits may vary by location. + +From offering comprehensive benefits to fostering flexible environments, we’ve got you covered so you can prioritize work-life harmony. + + +Competitive compensation that may include equity +Retirement and Employee Stock Purchase Plans +Flexible paid time off +Comprehensive benefit plans covering medical, dental, vision, life, and disability +Family services that include fertility benefits and equal paid parental leave +Professional development supported by formal career pathing, learning platforms, and tuition reimbursement +Community engagement opportunities throughout the year, including an annual company wide Volunteer Week +Employee Resource Groups that provide supportive communities within Braze +Collaborative, transparent, and fun culture recognized as a Great Place to Work® + + +About Braze + +Braze is a leading customer engagement platform that powers lasting connections between consumers and brands they love. Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. + +Braze is proudly certified as a Great Place to Work® in the U.S., the UK and Singapore. We ranked #3 on Great Place to Work UK’s 2024 Best Workplaces (Large), #3 on Great Place to Work UK’s 2023 Best Workplaces for Wellbeing (Medium), #4 on Great Place to Work’s 2023 Best Workplaces in Europe (Medium), #10 on Great Place to Work UK’s 2023 Best Workplaces for Women (Large), #19 on Fortune’s 2023 Best Workplaces in New York (Large). We were also featured in Built In's 2024 Best Places to Work, U.S. News Best Technology Companies to Work For, and Great Place to Work UK’s 2023 Best Workplaces in Tech. + +You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Chicago, Jakarta, London, Paris, San Francisco, Singapore, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations. + +BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER + +At Braze, we strive to create equitable growth and opportunities inside and outside the organization. + +Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you . + +We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you. + +Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights. +Show more ","
    + + + + + +
    +
    + At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

    We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

    To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

    If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

    What You’ll Do

    Braze is seeking a Senior Data Scientist to join our Intelligence team. The Braze Intelligence team’s mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions. You will help discover the scope of what is possible to improve customer engagement at scale. From that space of possibilities, you will also help select and support specific solutions as they go from prototype to product.

    As a Data Scientist, You Will

    • Collaborate with Product Managers and Engineers to build innovative ways to leverage data and improve decision-making for our customers
    • Explore and analyze the billions of daily data points that Braze’s customers generate in search of predictive, valuable, actionable signals
    • Build, analyze, and iterate on models that are best suited for the job, whether that’s supervised & unsupervised learning, reinforcement learning, neural networks, or simple regressions

    WHO YOU ARE

    • 5+ years of experience in the technology industry
    • 5+ years of experience working with cloud or distributed systems and large customer datasets
    • Ph.D. in Computer Science, Applied Mathematics, or significant experience developing and deploying machine learning systems
    • Extensive experience prototyping, refining, and deploying predictive models and machine learning & AI neural networks
    • Experience working with Data Stores and frameworks such as TensorFlow and PyTorch

    What We Offer

    Details of these benefits plan will be provided if a candidate receives an offer of employment. Benefits may vary by location.

    From offering comprehensive benefits to fostering flexible environments, we’ve got you covered so you can prioritize work-life harmony.

    • Competitive compensation that may include equity
    • Retirement and Employee Stock Purchase Plans
    • Flexible paid time off
    • Comprehensive benefit plans covering medical, dental, vision, life, and disability
    • Family services that include fertility benefits and equal paid parental leave
    • Professional development supported by formal career pathing, learning platforms, and tuition reimbursement
    • Community engagement opportunities throughout the year, including an annual company wide Volunteer Week
    • Employee Resource Groups that provide supportive communities within Braze
    • Collaborative, transparent, and fun culture recognized as a Great Place to Work®

    About Braze

    Braze is a leading customer engagement platform that powers lasting connections between consumers and brands they love. Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty.

    Braze is proudly certified as a Great Place to Work® in the U.S., the UK and Singapore. We ranked #3 on Great Place to Work UK’s 2024 Best Workplaces (Large), #3 on Great Place to Work UK’s 2023 Best Workplaces for Wellbeing (Medium), #4 on Great Place to Work’s 2023 Best Workplaces in Europe (Medium), #10 on Great Place to Work UK’s 2023 Best Workplaces for Women (Large), #19 on Fortune’s 2023 Best Workplaces in New York (Large). We were also featured in Built In's 2024 Best Places to Work, U.S. News Best Technology Companies to Work For, and Great Place to Work UK’s 2023 Best Workplaces in Tech.

    You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Chicago, Jakarta, London, Paris, San Francisco, Singapore, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations.

    BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER

    At Braze, we strive to create equitable growth and opportunities inside and outside the organization.

    Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you .

    We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.

    Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-09,[]