Employer description & source details
We're looking for a Senior Analytics Manager to help shape the future of our products through data-driven decision making. In this role, you'll partner closely with Product, Engineering, Design, and Leadership to uncover insights, identify opportunities, and influence strategic decisions. You'll play a key role in understanding user behavior, measuring product performance, and ensuring that product investments are backed by meaningful analysis. This is a high-impact role for someone who enjoys solving complex business problems, thrives in a fast-paced environment, and is passionate about turning data into actionable insights that drive exceptional customer experiences and business growth. Experimentation craft. Strong fundamentals in A/B testing — hypothesis framing, metric selection, power analysis, cohort-level lift analysis, and disciplined readouts. Knows the difference between statistical and practical significance and is comfortable challenging poorly designed experiments. User-level behavioral insight. Reasons about individual user journeys, not just aggregate metrics. Can identify meaningful behavioral archetypes from raw activity, distinguish correlation from causation, and connect what users do to what the product offers. Roadmap influence and opportunity sizing. Translates analysis into prioritized recommendations. Comfortable telling a PM "this won't move the metric you care about" before the work is built. Can size the financial impact of an opportunity and stack-rank it against other bets. Strong technical foundation. Expert in SQL on large datasets. Comfortable with Python for analysis and modeling. Fluent in BI tools (Tableau or equivalent). Comfortable with regression, classification, and basic ML for propensity, LTV , or churn prediction. Agentic AI fl
Extracted skills: python, sql, tableau