Drive Data Discovery: Use SQL and Python to navigate large datasets, identifying patterns and opportunities that drive product growth.
Master the Metrics: Interpret KPIs with statistical significance and targets.
Technical Advocacy: Translate insights into actionable product strategies for teams and clients.
Shape the Product: Collaborate with Engineering and Product to embed data-driven culture in features.
Visualization & Storytelling: Build dashboards and visuals to simplify decisions.

🎯 Requirements

Analytical rigor in a quantitative field
SQL proficiency; Python for analysis
First-principles problem solving
Strong communication to tech and non-tech audiences
Data visualization with BI tools; Metabase a plus
Client-facing mindset with external stakeholders

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