ABOUT THE ROLE 

We are looking for a Data Analyst to join the Data Science eCommerce Analytics team. You will have the opportunity to work cross-functionally with FP&A, Accounting, Strategy, Product, and others in the organization. Peloton is a remote-friendly environment with flexible work arrangements. 

YOUR DAILY IMPACT AT PELOTON 

• Work cross-functionally to define problem statements, collect data, build analytical models, explain underlying logic to business users and stakeholders and make recommendations
• Build and maintain data-driven optimization models, experiments, forecasting algorithms, and dashboards/complex visualizations 
• Understand how events like sales, returns, cancellations, and outreach for support play a role in the overall customer lifetime value. 
• Leverage tools like DBT and Looker to production logic and KPIs 
• Communicate final recommendations and drive decision making 

WHAT YOU BRING TO PELOTON 

• Minimum of 3+ years experience in supporting business decisions through data analysis
• Experience with Tableau, PowerBI, Looker, or other BI tools and techniques 
• Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets 
• Experience with DBT 
• Experience writing SQL queries 
• Experience with Excel based financial modeling and concepts such as LTV, CAC, and Churn
• Experience with statistics methods such as forecasting, time series, and hypothesis testing
• Proactive and self-motivated, can work autonomously with strong organizational and time management skills 

BONUS 

• Start-up experience a plus 
• Comfortable working with system changes and disparate data sources given the nature of some third-party data (e.g., from eCommerce and customer support-facing tools) 
• Excited to work in a fast-paced and challenging environment where context-switching can be frequent 
• Understanding of best practices around marketing, eCommerce, and subscription retention KPIs

#LI-TP2 

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