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Metro location, attractive growth-stage startup, and mid-senior generalist analytics role increase competition moderately.
Product-analytics focus and experimentation experience favor candidates with product experience, but skills remain transferable across industries.
Explicit 6-10 years requirement, leadership experience, and mandatory SQL/Python and experimentation skills make filters strict.
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Lead the Product Analytics function to build product intelligence that drives competitive advantage, going beyond dashboards and reports.
Define key product metrics, build robust experimentation systems, and ensure product decisions are data-driven with strong customer understanding.
Hire, mentor, and develop a team of product analysts who own problem domains and drive measurable outcomes like conversion, retention, and LTV improvements.
6-10 years experience in product analytics with at least 2 years leading or mentoring analysts.
Strong skills in advanced SQL and comfortable with Python/R for analysis and statistics.
Expertise in experimentation (running A/B tests end-to-end with sound statistical knowledge).
Full-funnel analytics experience covering acquisition, activation, conversion, and retention.
Strategic thinker able to translate ambiguous business questions into testable hypotheses and clear measurement plans.
Experienced in shaping product roadmaps through data-driven insights and experimentation rigor.
Proven track record of developing and scaling analytics teams that operate with ownership and business outcome focus.