- Lead continuous discovery efforts by guiding PMs in defining and measuring success metrics, running assumption tests, and building iterative learning into how they work.
- Design robust experimentation frameworks, evaluate experiment results, and iterate on key hypotheses.
- Build scalable product analytics frameworks that standardize how teams make data-driven decisions.
- Enable self-service analytics by improving access to data through Metabase, Amplitude, and Secoda so teams can explore product insights independently.
- Mentor junior analysts on statistical methodology, experimentation best practices, and storytelling with data.
- Present insights and strategic recommendations to senior leadership regularly to influence product roadmaps.
- Leverage SQL, dbt, and Snowplow to transform, and analyze product data.
SQLData visualizationA/B testing+1 more