Investigate user behavior and uncover insights about engagement, retention, conversion, and adoption. Design and analyze A/B tests, funnels, and cohorts to support key product decisions. Define/refine KPIs and metrics to measure product performance and user value. Partner closely with Product, Growth, and Strategy teams to inform roadmap and go-to-market. Leverage tools like Mixpanel, Amplitude, or Pendo to analyze user journeys. Tell compelling stories with data that drive clarity and action for non-technical stakeholders Write clean, efficient queries and prepare datasets that power analytics (using tools like Segment, Sigma, Snowflake, Datadog). Collaborate with data engineers to ensure a reliable and scalable analytics environment. Define event tracking and instrumentation requirements to support new product features. Make sure data layers are analytics-ready and trustworthy. Help us understand the “why” behind the numbers through hypothesis-driven analysis. Use Python, R, or similar tools to apply statistical methods to behavioral data. Contribute to both quantitative and qualitative research, including user studies and surveys. Enrich insights with external datasets when relevant, and support strategic decision-making with evidence.