Manager of Product & Data Analytics

Role overview

Responsibilities

• Build, coach, and mentor product analysts; set a high bar for analytical quality, business impact, and storytelling.
• Translate strategic questions into analytical agendas, manage the analytics backlog, and balance reactive requests with proactive analysis.
• Investigate changes in activation, engagement, conversion, retention, and monetization to identify root drivers and distinguish product performance from acquisition shifts, seasonality, and confounding factors.
• Apply statistical rigor, accounting for Simpson's paradox, selection effects, survivorship bias, denominator changes, and instrumentation issues; champion causal inference and A/B testing.
• Oversee trusted KPIs, leading indicators, metric trees, and customer segments; establish telemetry standards before products ship.
• Turn complex analysis into clear visuals and actionable recommendations, and contribute to leadership discussions.
• Adopt AI-native workflows, including Claude Code and advanced SQL/Python, to improve efficiency and automate repeatable work while validating outputs.

Requirements

• 6+ years of experience in product analytics, growth analytics, or decision science.
• 2+ years of direct people management or formal team leadership experience in a technology, subscription, SMB, or consumer-facing business.
• Demonstrated success recruiting, mentoring, and retaining talent and developing analysts' statistical reasoning, product sense, and executive presence.
• Mastery of activation, engagement, conversion, retention, churn, monetization, and LTV mechanics.
• Strong foundation in experimentation, cohort analysis, hypothesis testing, sample sizing, and causal inference.