Data Scientist, Product Analytics
About The Position
Peloton is seeking a Product Analyst to join the Product Analytics team, focused on driving member engagement through habit formation. At Peloton, our goal is to create Members for Life—building lasting fitness routines that become an integral part of our members’ daily lives. To support this, we are investing in product experiences designed to help members build and sustain consistent fitness habits. This role will play a critical part in evaluating whether these experiences are meaningfully improving member behavior and long-term engagement. The Product Analyst will partner closely with cross-functional product teams to measure impact, uncover insights, and shape product strategy—ensuring our work translates into durable habit formation and stronger member retention.
Requirements
- 3–5 years of analytics experience, with a focus on product or UX analytics (experience in fitness or consumer tech is a plus)
- Fluency in SQL and comfort with Python (e.g. pandas, numpy) for data exploration
- Experience designing and analyzing A/B tests and interpreting results with statistical rigor
- Proven ability to influence product strategy through compelling data storytelling
- Comfort working autonomously and collaboratively in a fast-paced, agile environment
- Curiosity, humility, and a user-first mindset
Nice To Haves
- Experience with Amplitude, Mixpanel, Segment, or similar tools for analyzing user engagement data
- Background in consumer tech, hardware/software products, or mobile-first experiences
- Experience using large language models (LLMs) for analysis or workflow acceleration
Responsibilities
- Own analytics for habit formation engagement features—from defining success metrics to surfacing insights that drive product decisions
- Partner with PMs and Designers to build, launch, and measure A/B tests that influence the roadmap
- Tell compelling stories with data: create clear narratives that influence senior stakeholders and help guide strategic direction
- Translate member behavior into actionable insights that improve retention and long-term engagement
- Advocate for clean, consistent data instrumentation and support experimentation best practices
Benefits
- Medical, dental and vision insurance
- Generous paid time off policy
- Short-term and long-term disability
- Access to mental health services
- 401k, tuition reimbursement and student loan paydown plans
- Employee Stock Purchase Plan
- Fertility and adoption support and up to 18 weeks of paid parental leave
- Child care and family care discounts
- Free access to Peloton Digital App and apparel and product discounts
- Commuter benefits and Citi Bike Discount
- Pet insurance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
