Manager, Data Analytics

Peloton•New York, NY

2d•$124,250 - $174,050•Hybrid

About The Position

Peloton is seeking a Manager, Global Performance Creative Analytics & Experimentation to help shape how creative drives subscriber growth across global performance and consideration channels. Reporting to the Director of Marketing Measurement Strategy, this role sits at the critical intersection of Data Science and Performance Creative, partnering closely with stakeholders across the global Marketing organization. The ideal candidate is a unique hybrid: an analytically rigorous professional who inherently understands creative DNA—someone who knows how to design clean testing frameworks while speaking the fluid language of creative production. Rather than analyzing performance as a static output, this individual will interrogate granular creative metadata (dissecting formats, messaging angles, visual hooks, and narrative structures) to deduce deep historical learnings. Serving as the team's institutional memory for creative performance, you will translate data into context-rich, highly executional insights that actively guide future testing and fuel a continuous creative evolution. Success requires the ability to move beyond passive reporting to actively guide creative test structures, answer why creative assets perform, and influence future global production and media strategy through data-driven insights.

Requirements

4-5+ years of experience in Data Science, Marketing Analytics, Creative Analytics, or Marketing Science, with a heavy emphasis on media measurement and creative performance evaluation
Demonstrated experience blending rigorous statistical expertise with strong creative intuition, including an understanding of hooks, pacing, asset saturation, and audience resonance
Strong proficiency in SQL and experience using statistical programming languages like Python or R for large-scale data analysis and modeling
Hands-on experience with experimentation methodologies, causal inference, synthetic controls, matched market testing, and regression analysis
Deep understanding of major digital advertising platforms (Meta, TikTok, Google/YouTube, Pinterest) and how creative inputs directly influence platform delivery algorithms, auction dynamics, and CPMs
Exceptional communication skills, with the ability to distill technical data science methodologies and complex platform dynamics into clear, concise, and actionable recommendations for creative teams, media agencies, and marketing leadership
Experience managing projects across multiple cross-functional stakeholders or global regions, with a proven ability to prioritize testing roadmaps and maintain clear documentation
Bachelor’s or Master’s degree in a quantitative discipline (Statistics, Data Science, Economics, Mathematics) or equivalent practical experience

Responsibilities

Lead the development and execution of the yearly global performance creative learning agenda. Yearly agenda should uncover new business and brand opportunities, as well as opportunity analysis on complex topics like creative fatigue and creative composition to suggest net new, structured tests.
Consult on messaging and visual hypotheses in Creative Strategy’s quarterly learning agenda based on performance analysis and insights
Based on the yearly and quarterly learning agenda, partner with Media Analytics, Media, and Creative Strategy to establish prioritisation, the methodology, execution, and roadmap of global performance creative experimentation. Align creative testing with the media testing agenda
Scope and execute customised creative incrementality tests in partnership with cross-functional teams. Beyond standard A/B and multivariate methodologies, you will architect future-ready measurement solutions, proactively integrating AI and advanced modeling to mitigate data limitations and platform volatility whilst driving scalable, actionable creative insights
Develop, maintain, and scale a proprietary "Creative Composite Score" framework to evaluate creative health, combining platform delivery metrics, attention/retention signals, and downstream business efficiency
Partner closely with internal data engineering teams and external agency partners to expand, enable, and enforce a granular creative metadata taxonomy (spanning strategy, concept, and message levels), transforming the creative library into a highly structured, analyzable dataset
Explore, vet, and integrate emerging AI tools and platform-native capabilities to automate creative asset evaluation and predictive performance modeling
Connect creative performance signals across paid channels, lifecycle email, and landing pages to identify which messaging angles resonate across the full funnel—not just the individual ad unit. Actively participate in the Analytics and marketing broader team meetings, contributing creative measurement standards and cross-team learning to the centralized analytics core
Modernize and elevate, where applicable, existing reporting frameworks to deliver more impactful, data-driven narratives. Establish a consistent cadence for performance communication, democratising access to key insights across the organisation to drive cross-functional alignment and enable rapid, actionable decision-making
Maintain deep expertise across platforms including Meta, TikTok, Google, YouTube, and Pinterest, translating auction dynamics, machine learning optimization, and delivery systems into actionable creative briefs
Build analytical frameworks to determine the optimal mix, volume, and refresh cadence of creative assets across different channels, seasons, and global regions to mitigate creative fatigue and asset saturation
Develop and/or model an approach to test different combo of message + creative + funnel to identify what converts/engages the most throughout the funnel stages
Maintain strong documentation standards, creating and managing comprehensive records of test plans, methodologies, and results to ensure frameworks are repeatable across teams and global regions