Data Scientist, Product Analytics

About the Role Peloton is entering a transformative new chapter. We are evolving from a pioneer in connected fitness into a comprehensive wellness ecosystem, powered by innovation and data. Our mission remains steadfast: to empower our global community to lead healthier, happier, and fitter lives. As we redefine the future of health, we are looking for leaders who are eager to build the frameworks that will support this next generation of world\-class member experiences. As a user\- centered, outcomes\-driven Product organization, Peloton relies on the Product Analytics team to deliver strategic insights, reporting capabilities and A/B testing to inform our direction \& product roadmap. The analyst will champion the wide range of monetization \& product analytics designed to profitably grow Peloton's member engagement and spearhead the analytical initiatives designed to optimize the product strategy. 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. You Will: 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 You Bring: 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 Bonus Points: 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 \#LI\-DD1 \#LI\-Hybrid ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com. At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here *on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @**onepeloton.com email address. If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.*