Peloton is looking to innovate and improve how members engage with strength training by analyzing member behavior and providing data-driven insights to shape product strategy and business outcomes.
Requirements
- Fluency in SQL and comfort with Python (e.g. pandas, numpy) for data exploration
- Experience designing and analyzing A/B tests with statistical rigor
- Strong statistical knowledge: hypothesis testing, confidence intervals, regressions, and modeling
- Experience with Amplitude, Mixpanel, Segment, or similar tools for analyzing user engagement data
- Experience using large language models (LLMs) for analysis or workflow acceleration
- Background in consumer tech, hardware/software products, or mobile-first experience
Responsibilities
- Own analytics for Peloton Strength, from defining success metrics to delivering insights that drive product decisions
- Design, launch, and measure A/B tests that influence the roadmap
- Tell compelling stories with data that guide strategic direction and influence senior stakeholders
- Translate member behavior into actionable insights that improve retention and long-term engagement
- Apply causal inference techniques (e.g., difference-in-differences, propensity scoring, regression modeling) to evaluate product impact beyond A/B tests
- Act as a thought partner to Product leadership—flagging opportunities, challenging assumptions, and shaping strategy
- Develop expertise in strength training habits, user personas, and feature adoption
Other
- 4–7 years of analytics experience, ideally in product or UX analytics (fitness or consumer tech a plus)
- Proven ability to work autonomously and drive projects with minimal oversight
- Track record of influencing product strategy through data storytelling
- Comfort in fast-paced, agile environments
- Curiosity, humility, and a user-first mindset
