Lead, Global Creative Analytics & Experimentation

Peloton; New York; On-site; USD 124,250 - 174,050; Full time

Benefits offered by this job

Equity awards

Employee Stock Purchase Plan

Health benefits

Paid time off

Job summary

Peloton is seeking a Manager, Global Performance Creative Analytics & Experimentation to shape how creative drives subscriber growth across global performance channels. You will design testing frameworks, translate creative metadata into actionable insights, and guide future production and media strategy with data-driven findings.

This role blends data science rigor with creative intuition, requiring collaboration with cross‑functional teams and leadership in global regions.

Qualifications

• 4-5+ years of experience in Data Science, Marketing Analytics, Creative Analytics, or Marketing Science.
• Strong statistical and creative intuition for hooks, pacing and audience resonance.
• Proficiency in SQL and Python or R for large-scale data analysis.
• Experience with experimentation methodologies and causal inference.

Responsibilities

• Lead development and execution of global performance creative learning agenda.
• Define testing methodology; align with media and creative strategy.
• Design and implement advanced measurement solutions including AI integration.
• Develop Creative Composite Score and track creative health across channels.
• Collaborate with data engineers and agencies to structure creative metadata.

Skills

SQL proficiency

Python/R

Experimentation

Creative analytics

Communication

Cross‑functional collaboration

Digital platforms knowledge

Project management

Education

Bachelor’s or Master’s in a quantitative discipline

Tools

Python

R

SQL

Job description

Peloton is seeking a Manager, Global Performance Creative Analytics & Experimentation to shape how creative drives subscriber growth across global performance channels. You will design testing frameworks, translate creative metadata into actionable insights, and guide future production and media strategy with data-driven findings.

This role blends data science rigor with creative intuition, requiring collaboration with cross‑functional teams and leadership in global regions.