Manager, Data Analytics

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., * 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

• 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

140 W 23rd St Frnt 1, New York, NY 10011, Hybrid work $124,250 - $174,050 a year

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.