Primary record

Staff Data Analyst

Peloton Indexed employerNew York, New York · New York, New York, United States
Source-hosted applyChecked 3h agoPart-Time
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Workplace

hybrid

Employment

Part-Time

Published

Aug 11, 2026

Closes

No date supplied

The role

ABOUT THE ROLE

We are seeking a Staff Data Analyst to serve as a strategic partner between our Global Operations & Technology organization and our Enterprise Data team. This role will be the voice of data for our Supply Chain and Global Member Support organizations. While serving as a hands-on analyst and strategic partner, you will also have the opportunity to work within and learn from a larger data team.

YOUR DAILY IMPACT AT PELOTON

• Partner with peer stakeholders, Directors, and VPs to define, build, and maintain a robust metric architecture. Consider North Star metrics, leading vs. lagging indicators, counter-metrics, and operational guardrails. Create clear documentation and work to build consensus

• Lead a dedicated workstream that reviews key metrics weekly, reporting to the broader company the vital changes, trends, and strategic opportunities the metrics reveal. Perform root-cause analysis on operational anomalies, separating true operational signals from noise, seasonality, or data pipeline breaks. Know when a scrappy analysis is sufficient and when a more nuanced approach is necessary

• Shape and deliver clear business narratives with appropriate nuance. Translate complex and ambiguous data into clear and concise recommendations

• Collaborate with cross-functional partners on measurement strategy and data collection for pilot projects and new company-wide initiatives

• Decompose ambiguous, high-level business goals and strategic questions into structured, testable hypotheses and concrete 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 Peloton's supply chain and member support data, while maintaining a broad awareness of other data domains across the company

• Evangelize the data our team has m

Requirements

Department: Data Analytics