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About the Role

Serve as a strategic partner between the Global Operations & Technology organization and the Enterprise Data team, acting as the voice of data for Supply Chain and Global Member Support. This role involves hands-on analysis and collaboration within a larger data team.

Responsibilities

• Define, build, and maintain a robust metric architecture, considering North Star metrics, leading vs. lagging indicators, counter-metrics, and operational guardrails.
• Create clear documentation and build consensus among stakeholders.
• Lead a workstream to review key metrics weekly, reporting vital changes, trends, and strategic opportunities to the company.
• Perform root-cause analysis on operational anomalies, distinguishing true operational signals from noise, seasonality, or data pipeline breaks.
• Determine when a scrappy analysis is sufficient versus when a more nuanced approach is necessary.
• Shape and deliver clear business narratives with appropriate nuance, translating complex data into concise recommendations.
• Collaborate with cross-functional partners on measurement strategy and data collection for pilot projects and new initiatives.
• Decompose ambiguous business goals into structured analytical frameworks that drive decisions.
• Partner with tech and operations teams to design, evaluate, and interpret operational experiments and process changes.
• Become an in-house expert on supply chain and member support data, while maintaining broad awareness of other data domains.
• Evangelize available data to Global Ops and Tech teams, ensuring awareness and proper usage through documentation and training.
• Identify and act on gaps and opportunities in data adoption.
• Develop strong partnerships with technology stakeholders who own operational systems.
• Document the broader data ecosystem, mapping system connections.
• Ensure alignment with Tech teams on planning and roadmap initiatives.

Requirements

• 7+ years of data analytics experience, with a proven track record operating at a senior level within a complex organization.
• Experience performing data extraction, cleaning, analysis, and presentation for medium to large datasets.
• Practical knowledge of A/B testing and quasi-experimental design (e.g., difference-in-differences).
• Highly skilled in both written and verbal communication, able to convey complex technical concepts to non-technical executives and stakeholders.
• Exceptional attention to detail and organizational skills, with the ability to context-switch between high-level documentation and day-to-day triage.
• Ability to establish trusted analytics and guide teams away from misleading metrics.
• Comfort with ambiguity and a strategic mindset for solving complex, unstructured problems.
• Experience working in deep partnership with cross-functional teams (technical and non-technical).
• Highly analytical with a deep understanding of how complex systems interact.
• Enjoys asking questions, explaining findings, and communicating insights to empower data-driven decisions.
• Scrappy, critical thinker adept at connecting dots across complex systems.
• Knows when to simplify a problem for clarity and when a complex deep-dive is warranted.
• Strength in collaboration, communication, and transforming data into actionable business narratives.

Skills

• Advanced SQL proficiency
• Advanced experience with Looker (or similar enterprise BI tools)
• Highly fluent in spreadsheets (Excel/Google Sheets)
• Fluency analyzing data with Python and/or R
• Familiarity with dbt and modern analytics engineering principles
• Experience automating routine tasks with AI (Bonus)
• Fluency in supply chain concepts and data (Bonus)

Location

• New York City headquarters

Work Type

• Hybrid

Experience Level

• Staff
• Senior level

Salary/Compensations

• $188,800—$231,950 USD

Benefits

• Annual equity awards
• Employee Stock Purchase Plan
• Medical, dental and vision insurance
• Generous paid time off policy
• Short-term and long-term disability
• Access to mental health services
• 401k
• Tuition reimbursement
• Student loan paydown plans
• Fertility and adoption support
• Up to 18 weeks of paid parental leave
• Child care and family care discounts
• Free access to Peloton Digital App
• Apparel and product discounts
• Commuter benefits
• Citi Bike Discount
• Pet insurance

About the Company

• 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.

Equal Opportunity

• 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.
• 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.