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Senior Manager, Product Analytics

United States, San Francisco 250000.00 - 285000.00 USD / Year · Job Posted February 20, 2026
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Job Description

We are looking for a hands-on manager for our product analytics team. You will collaborate with company leadership, product managers, engineers, marketers and researchers to accelerate learning, make data-informed decisions and define data-inspired solutions to fuel the growth of Strava’s platform. This role reports to the head of data and partners tightly with cross-functional stakeholders throughout the company.

Job Responsibility

  • Lead a team of data analysts to support the diverse needs to the Product Org team, focusing on user and subscription growth
  • Drive strategic analytics initiatives to improve the efficiency and impact of the growth of Strava’s community and subscription product
  • Establish a learning agenda to create a foundation for robust product and business growth strategies
  • Partner with product and marketing teams to design and interpret A/B tests to drive explainable user and subscription growth outcomes
  • Collaborate with the broader data community at Strava (Data Science, Machine Learning, Data Platform, etc) to collectively improve our technological craftsmanship and company-wide data literacy
  • Conduct deep dive analyses to surface actionable insights related to trends in key business metrics
  • Partner with product, biz ops, and finance teams to support annual business planning and product team goal settings
  • Leverage your quantitative skills and business background to serve as a hands-on collaborator with vertical teams within Product, Strava for Business, and Community Management
  • Think about scalability, building reusable data sets, and designing self-service tools to empower your collaborators to learn along with you
  • Not being afraid to ask questions, learn, share and iterate on ways of working, your business area, and analytics capabilities

Requirements

  • 7+ years of full-time experience in analytics, data science, or other quantitative domains and have supported product teams
  • 4+ years of experience leading high-functioning analytics teams
  • Master’s degree in quantitative field preferred
  • High proficiency with SQL and experience with Business Intelligence tools (e.g. Tableau)
  • Expertise applying experimentation and advanced statistical methods to measure incremental impact across product strategies
  • Hands-on experience working with statistical programming languages (e.g. R, Python)
  • An understanding of data pipeline concepts (e.g. ETL, scripting common analysis workflows)

What we offer

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