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10 minutes ago
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πŸ“‹ Description

  • Deep-dive analysis of feature success, retention, and engagement to inform roadmap decisions.
  • Partner with Product, Engineering, and Design on planning with a data lens.
  • Design A/B tests with experiment design, sample sizes, and causal analysis.
  • Create analytics frameworks and event taxonomy to keep data clean.
  • Enable PM self-service with tooling, docs, and AI integrations to scale impact.

🎯 Requirements

  • 5-10 years in product analytics or data science; A/B testing and cohort analysis.
  • Apply behavioral and statistical methods (clustering, propensity matching, regression).
  • Fluent in SQL and Python for data manipulation, analysis, and visualization.
  • Strong product sense; translate questions into analytical approaches.
  • Excellent communicator; explain data insights to tech and non-tech audiences.

🎁 Benefits

  • Work flexibly from multiple European countries with Paris visits.
  • Team gatherings including onboarding in Paris, offsite, and quarterly meetings.
  • 30 days annual leave plus local public holidays.
  • Competitive equity with stock options.
  • €1000 home office grant or €400 per month coworking stipend.
  • €1,000 annual learning & development budget.
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