A study on the skills required by companies for Data Analysts (at least from what they say in their job ads) - based in 20K job ads scraped from Linkedin.
Some preliminary results: https://rafabelokurows.github.io/data-analyst-job-skills/
Obtain a large pool of job ad descriptions found on Linkedin to answer a few burning questions for me and fellow Data Analysts:
- What are the skills most in demand (R, SQL, Python, etc.)?
- How about salary? 💲💲💲 What's the distribution of salaries a Data Analyst can expect for a remote job?
- Is there any difference in the skills asked for a job in the US x Europe?
- How about those good old cliches that you hate to find on a job ad and that makes you wanna cringe?
"We look for a detail-oriented multi-tasker who can work under pressure on a fast-paced environment"
- Set up a pipeline to process new data scraped from Linkedin
- Create some plots of skills, salary and Europe x Americas
- Expand keywords to roles such as "Product Analyst", "Analytics Engineer", and others
- Cluster similar positions based on main types of activities: Governance, Analysis, Scientific/Research
- Train ML models to predict salary based on skills, requisites and other characteristics of the job
- Add automated collection workflow running on Github Actions
Some of my references for this one: https://github.com/peuvitor/portfolio/blob/f3bfcfbc26432682cfdf93122ab221027ea1578e/docs/projects/de/scraping-jobs.md https://pypi.org/project/linkedin-jobs-scraper/ https://github.com/newlog/linkedin_job_analysis/tree/3ed8946d0ce8bcae5bf0c383534d8c3fb81b7aee/src https://github.com/zejiekong/JobScore/blob/c801603bd1a67e78bd39a5019eb2016d4fe160f1/helper/scrape_linkedin.py