Visualizing Data Jobs
Visualizing Data Jobs
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A cross-country analysis of data science job listings revealing significant salary disparities and varying technical requirements across roles, with Data Scientists commanding the highest compensation.
Figure 1: Tableau dashboard showcasing results.
Figure 2: Maximum salary distributions gor different job titles (from EDA in Python).
Keywords
Data Science, User Experience (UX), Technical Communication.
Technologies
Python (BeautifulSoup, Selenium, Jupyter Notebook for web scraping, data cleaning, EDA, and statistical analysis), Tableau Public Desktop.
Background
Data Science remains a dynamic field with evolving role definitions. The terminology used to describe positions like Data Scientist, Data Analyst, and BI Analyst varies significantly across companies and countries, creating ambiguity in job market analysis. This project provides a snapshot of the Data Science job market in September 2024, based on Indeed job listings.
Aim
To analyze and compare Data Science job roles across major cities in France, Italy, Sweden, and the USA through automated scraping of Indeed job listings, focusing on role requirements (technical skills), and salary distributions.
Approach
Data Collection: Scraped Indeed job listings for 'Data Scientist', 'Data Analyst', 'Product Analyst', and 'BI Scientist' across three largest cities in each target country (September 19-20, 2024).
Feature Engineering: Extracted technical requirements and salary ranges from multilingual job descriptions (English, French, Italian, Swedish).
Statistical Analysis: Employed non-parametric Kruskal-Wallis tests with Mann-Whitney U post-hoc analysis (Bonferroni corrected) due to ANOVA assumption violations.
Findings
The analysis revealed distinct patterns in the global data science job market.
Required skills:
Common technical skills across roles: SQL, Python, Excel dominating the landscape.
Role-specific specializations: BI Analysts (Power BI), Data Analysts (Excel), Data Scientists (Python).
Data Science positions showed higher requirements for machine learning, cloud computing, and big data technologies.
Salary trends:
Clear hierarchy: Data Scientists > BI Analysts > Data Analysts ≈ Product Analysts.
Significant geographical disparity: US salaries approximately 3x higher than France/Sweden and 6x Italy's median.
Highest salaries: Senior roles in USA (NY), primarily director and VP positions.
Lowest salaries: Internships and junior roles in France and Italy.
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