Job Description
📋 Description Conduct deep-dive analysis of feature success and retention to inform roadmaps. Collaborate with Product, Engineering, and Design on planning with data-driven ideation. Design A/B tests with rigorous experiment design and cohort/causal analysis. Create analytics frameworks and event taxonomy; ensure data quality with data platform team. Enable product self-service via tooling and documentation; leverage AI tools to scale analyses. 🎯 Requirements 5-10 yrs in product analytics/data science; strong A/B testing and cohort analysis. Apply clustering, propensity score matching, and regression to derive insights. Fluent in SQL and Python for data manipulation, analysis, and visualization. Strong product sense; translate business questions into structured analyses. Excellent communication; convey insights to tech and non-tech teams; AI tools. 🎁 Benefits 30 days annual leave plus local public holidays Equity package with stock options/BSPCE €1000 home office grant or €400/month coworking stipend €1,000 annual learning and development budget Private health insurance Mental health support via MokaCare (1:1 sessions)
