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We’re looking for a senior product analytics leader who thrives at the intersection of data, strategy, and execution. In this role, you’ll partner directly with product, design, engineering, and business leaders to uncover insights that drive our product vision and accelerate growth across the user funnel. You’ll design and analyze experiments, synthesize complex data into actionable narratives, and influence roadmap priorities at the highest levels of the organization. This is a high-impact, high-visibility opportunity to shape product strategy in a fast-scaling, mission-driven environment.
Job Responsibility:
Drive Product Strategy Through Data: Partner with product and executive teams to define success metrics, identify key inflection points in the user journey, and ensure data-driven decision-making across initiatives
Lead Experimentation and Causal Analysis: Design, implement, and analyze A/B and multivariate experiments to measure incremental impact, causation, and lift. Elevate experimentation practices across teams to improve decision quality and speed
Surface Actionable Insights: Conduct deep-dive analyses to identify opportunities for growth, retention, and engagement. Translate findings into clear, strategic recommendations that inform product direction and roadmap priorities
Executive Storytelling and Influence: Synthesize complex analytical findings into compelling narratives that drive alignment and action at the leadership level. Communicate insights with clarity, confidence, and strategic context
Enable Data-Driven Culture: Build intuitive dashboards and frameworks that empower teams to self-serve insights. Champion a culture of curiosity, experimentation, and evidence-based decision-making
Cross-Functional Partnership and Leadership: Collaborate with data engineering to ensure data quality and consistent business logic. Act as a trusted advisor to PMs and executives, influencing both short-term experiments and long-term strategy
Requirements:
8+ years of experience in product analytics, data science, or growth analytics, with proven impact in high-growth, consumer-facing environments
Demonstrated ability to influence senior stakeholders and shape product direction through data-driven insights
Expert in SQL and adept with data visualization tools (e.g., Looker, Tableau, Mode)
Deep experience designing and interpreting experiments and applying statistical rigor (regression, confidence intervals, hypothesis testing)
Proficiency with Python or R for advanced analytics
Exceptional communication and storytelling skills — able to synthesize complex data into clear, strategic narratives
Thrives in fast-paced, scaling environments, balancing strategic foresight with hands-on analytical execution
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