Strava is the leading subscription platform at the center of connected fitness, with more than 100 million community members in over 190 countries. The platform offers a holistic view of your active lifestyle, no matter where you live, which sport you love and/or what device you use. Everyone belongs on Strava when they are pursuing an active life.
We are looking for an experienced analyst in a full-time role to be a key member of one of our cross-functional product teams. You will collaborate with product managers, engineers, designers and researchers to accelerate learning, make data-informed decisions and define data-inspired solutions to meet athlete needs. This role reports to an analytics manager and partners tightly with cross-functional stakeholders throughout the company.
For more information on compensation and benefits, please click here.
You’re excited about this opportunity because you will
- Analyze data to produce insights that shape our understanding of our athletes, their usage patterns, and opportunities to improve their experience.
- Collaborate closely with product managers and cross-functional partners to inform decisions and set strategy within a product team.
- 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 and building exploratory dashboards.
- Collaborate with the rest of the data organization at Strava (e.g. machine learning, data platform) to improve our technological craftsmanship.
We’re excited about you because
- You have 4+ years of experience in analytics, data science, or other quantitative domains. Experience in consumer-facing businesses is a plus.
- You are a strong communicator with an orientation towards impact, and you are comfortable working both cross-functionally and independently.
- You have a deep understanding of data pipeline concepts (e.g. ETL, scripting common analysis workflows).
- You are highly proficient with SQL and have experience with Business Intelligence tools (e.g. Tableau).
- You have hands-on experience with experimentation, including design, implementation, and methodologies (e.g. hypothesis testing and regression analysis) for analyzing and interpreting results to stakeholders.
- You have hands-on experience working with statistical programming languages (e.g. R, Python) for data wrangling and modeling.
- You are comfortable managing concurrent projects and meeting goals, even in the context of competing deadlines or priorities.
Strava is Swedish for “strive,” which epitomizes who we are and what we do. We’re a passionate and committed team, unified by our mission to connect athletes to what motivates them and help them find their personal best. With billions of activity uploads from all over the world, we have a humbling and adventurous vision: to be the record of the world’s athletic activities and the technology that makes every effort count.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage diverse teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.