Join Strava, the leading social network for athletes. As a Senior Business Analyst, you will be a key member of our Business Analytics team, driving subscription and user retention growth through deep data analyses. You will collaborate with cross-functional teams, provide analytical expertise, and own critical reporting and data solutions. Enjoy competitive salary, stock options, and a range of benefits including flexible paid time off, professional development stipend, and more.
About the role
- You have experience working on subscription or membership-based products, using data and insights to drive subscriber acquisition, engagement, and long-term retention - You have experience defining and building key metrics and dimensions to monitor product and business performance, ensuring they accurately reflect user behavior and drive decisions - You have a deep understanding of data pipeline concepts (e.g. ETL, scripting common analysis workflows) - You are a clear communicator with an orientation towards impact, and you are comfortable working both multi-functionally and independently - You have hands-on experience working with statistical programming languages (e.g. R, Python) for data wrangling and modeling - You have 4+ years of full-time experience in analytics, data science, or other quantitative domains, preferably in consumer-facing tech - You have experience with experimentation and A/B testing, including design, implementation and methodologies (e.g. hypothesis testing and regression analysis) for analyzing and interpreting results - You are highly proficient with SQL and have experience with Business Intelligence tools (e.g. Tableau, Amplitude)Key missions
- Collaborate with cross-functional teams to drive user engagement, retention, and subscription growth through data-informed decisions.
- Act as a go-to analytical expert for the User Lifecycle team, advising on A/B test design and interpretation while upholding experimentation best practices.
- Own end-to-end data solutions including data instrumentation, ETL, modeling, and developing dashboards to provide critical analytical reporting.