Drive product insights and decision-making through data, with an emphasis on structured problem solving and funnel-based analysis.
Spend ~90% of your time on product analytics (SQL-driven insights, conceptual statistics, storytelling, stakeholder alignment).
Support new product pipeline initiatives (~10%), including early analysis and opportunity sizing.
Partner with product managers, engineers, and cross-functional teams to frame ambiguous problems, debug unexpected results, and guide decisions with structured frameworks.