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Senior Manager, Product Analytics

Job in Syracuse, Onondaga County, New York, 13235, USA
Listing for: Peloton
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

BACKGROUND

Peloton is entering a transformative new chapter. We are evolving from a pioneer in connected fitness into a comprehensive connected 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 and product roadmap. The Senior People Manager will champion the wide range of monetization and product analytics designed to profitably grow Peloton’s member engagement.

We are looking for a Senior Manager, Product Analytics to spearhead the analytical initiatives designed to optimize our product strategy. In this role, the Senior Manager will be responsible for a pod of talented data scientists, understanding the overall fitness goals with Peloton’s member base – helping to drive members towards long‑term fitness improvements. This role is designed to lead high impact projects, establish key frameworks, and lead a team of few analysts.

YOUR

DAILY IMPACT AT PELOTON Analytics Consulting
  • Partner closely with Product Management Leaders & Key Stakeholders to understand their business objectives, translate into proposed solutions (e.g., EDAs, new KPIs, BI, Data science) and socialize the proposals to ensure the stakeholder alignment & buy‑in, focusing on driving business outcomes.
  • Be a thought partner and a consultant to across different functions of the org by proactively discovering strategic insights and analytical solutions that would drive growth in member engagement.
Lead Effective Analytics Delivery
  • Understand and help improve Peloton’s product strategy and be able to deliver accurate, timely & high‑quality analytics.
  • Be responsible for the development, oversight and presentation of insights & KPIs for business reviews and leadership updates.
  • Leverage industry best practices in optimizing the engagement strategies at Peloton through effective data & insights.
  • Lead the team in AI technology, ensuring the team is focusing on the most strategic work, in a highly rigorous manner.
Experimentation & Measurement
  • Support experimentation initiatives by partnering with the PMs for setting up effective A/B or multivariate tests, executing post‑experiment success measurement and statistical quantification.
Team Growth & Management
  • Lead an engaged, successful team of product analysts and data scientists.
  • Grow and mentor the talent on the team, both technically & strategically on industry best practices such as statistical modeling, exploratory data analysis and experimentation analytics.
  • Establish a culture of high performance and motivate the team to raise the existing bar.
Cross‑functional Collaboration
  • Partner with the centralized data platform team to build the required semantic data layers for effective analytical reporting & dashboards.
  • Partner with the Product Leadership to develop new KPIs & own the metrics scorecard for the Product Org.
YOU BRING TO PELOTON
  • BA/BS degree, preferably in a technical field.
  • 8+ years of experience in data science and statistics in product‑led companies, preferably with significant experience in customer engagement strategies.
  • 3+ years of experience building, managing and leading analytics / data science teams.
  • Experience with Infrastructure and Tooling.
  • High proficiency in Python, SQL, and other data science tools.
  • Experience with self‑service analytics tools (e.g., Google Analytics, Amplitude, Optimizely) and Data Visualization tools (e.g., Looker, Tableau, Power

    BI).
  • Strong interest in working with the latest AI‑based tools and technologies, self‑starter and promoter of adopting AI for problem solving & workflow automations.
  • Strong quantitative skills & experience utilizing analytical techniques for Product Engagement & Marketing effectiveness.
  • Experience with statistical analysis for A/B or multivariate tests.
  • Experience…
Position Requirements
10+ Years work experience
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