# Manager, Data Analytics, Performance Creative

**Company**: Peloton
**Location**: New York
**Experience**: senior
**Job type**: full-time
**Salary**: $155,350-$190,850 USD
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/peloton/jobs/8053428?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_adff728b-3df

## Description

Peloton is seeking a Manager, Global Performance Creative Analytics & Experimentation to help shape how creative drives subscriber growth across global performance and consideration channels.

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.

**Daily Impact at Peloton**

- Lead the development and execution of the yearly global performance creative learning agenda.

- Partner with Media Analytics, Media, and Creative Strategy to establish prioritisation, methodology, execution, and roadmap of global performance creative experimentation.

- Scope and execute customised creative incrementality tests in partnership with cross-functional teams.

- Develop, maintain, and scale a proprietary "Creative Composite Score" framework to evaluate creative health.

- Partner closely with internal data engineering teams and external agency partners to expand, enable, and enforce a granular creative metadata taxonomy.

- 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.

- Modernize and elevate existing reporting frameworks to deliver more impactful, data-driven narratives.

- 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.

- Develop and/or model an approach to test different combos 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.

**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.

- 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.

- 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.

## Skills

### Required
- SQL
- Python
- R
- Data Science
- Marketing Analytics
- Creative Analytics
- Marketing Science
- Media Measurement
- Creative Performance Evaluation
- Experimentation Methodologies
- Causal Inference
- Synthetic Controls
- Matched Market Testing
- Regression Analysis
- Meta
- TikTok
- Google
- YouTube
- Pinterest

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/peloton/jobs/8053428?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)