Analysis
Gender Pay Gap Audit at a Hamburg Tech Scale-up
Overview
What this challenge is about.
Your task is to analyze the provided anonymized employee dataset (including salary, job level, tenure, performance rating, and gender) to determine if a gender pay gap exists after controlling for legitimate factors. Success means producing a statistical report with regression results, a decomposition of the gap, and a set of policy recommendations. Constraints: the analysis must comply with German equal pay laws and be ready for investor scrutiny.
The Brief
What you'll do, and what you'll demonstrate.
Is there a statistically significant gender pay gap at CloudFlow after controlling for job-relevant characteristics, and what policies can close it?
Earning criteria — what you'll demonstrate
- Apply human capital theory and labor market discrimination models to a real dataset
- Conduct multivariate regression analysis to isolate gender effects on wages
- Use Blinder-Oaxaca decomposition to quantify explained vs unexplained gaps
- Develop evidence-based diversity and pay equity policies
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
Career mappings coming soon.