Act as a go-to analytical expert for our User Lifecycle team, driving user engagement, retention and subscription growth.
Advise business partners on A/B test design and interpretation while upholding experimentation best practices within and across teams.
Evaluate data tracking and quality on product surfaces, and collaborate with engineers to implement solutions where needed.
Provide the “source of truth” for internal consumers by owning critical analytical reporting (e.g. active users, retention rates).
Own end-to-end data solutions including: data instrumentation, ETL and modeling and developing dashboards.
Proactively surface trends and insights, quantify the impact, and translate them into clear actions for stakeholders.
Analyze data to uncover insights that deepen our understanding of the user journey, identifying opportunities to reinforce value and improve retention.
Collaborate with the rest of the data organization at Strava (Machine Learning, Data Platform, etc.) to collectively improve our technological craftsmanship.

4+ years of full-time experience in analytics, data science, or other quantitative domains, preferably in consumer-facing tech.
Clear communicator with an orientation towards impact, comfortable working both multi-functionally and independently.
Deep understanding of data pipeline concepts (e.g. ETL, scripting common analysis workflows).
Highly proficient with SQL and experience with Business Intelligence tools (e.g. Tableau, Amplitude).
Experience defining and building key metrics and dimensions to monitor product and business performance, ensuring they accurately reflect user behavior and drive decisions.
Experience with experimentation and A/B testing, including design, implementation and methodologies (e.g. hypothesis testing and regression analysis).
Hands-on experience working with statistical programming languages (e.g. R, Python) for data wrangling and modeling.
Experience working on subscription or membership-based products, using data and insights to drive subscriber acquisition, engagement, and long-term retention.

Senior Business Analyst

Key skills