Product Analyst, Community Management
San Francisco, CA
Strava
Strava connects millions of runners, cyclists, hikers, walkers and other active people through the sports they love – all on our mobile app and website.About This Role
Strava is the leading digital community for active people with more than 125 million athletes, in more than 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 help define the strategic future of the Community Management team and use the team’s robust data to inform broader product strategy across all of Strava. You will partner with a team of customer support representatives to accelerate learning, make data-informed decisions, and drive data-inspired solutions to meet user needs. This role reports to an Analytics Manager and collaborates tightly with cross-functional stakeholders throughout the company.
This is a hybrid role based in our San Francisco office.
For more information on compensation and benefits, please click here.
You're excited about this role because you will:
- Be the voice of the athlete through the lens of Community Management data, detecting trends in support channels such as forums and help requests and connecting those trends with product changes and business outcomes.
- Identify levers in our athlete feedback that will help us understand how to move key engagement and revenue metrics and identify other future strategic opportunities.
- Own critical reporting and exploratory dashboards and build the “source of truth” for various internal consumers, including the entire company and the senior leadership team.
- Support the optimization of our support ticket pipeline by both recommending proactive data tagging practices for tracking key trends and sizing opportunities to help prioritize the team’s resources.
- Collaborate with the rest of the data organization at Strava (Machine Learning, Data Platform, etc) to collectively improve our technological craftsmanship.
We're excited about you because:
- You have 2+ years of experience in analytics, data science, or other quantitative domains, preferably in consumer-facing tech and/or a customer support environment.
- You are a clear communicator with an orientation towards impact, and you are comfortable working both multi-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 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.
About Strava
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, TCV, 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.
Despite challenges in the world around us, we are continuing to grow camaraderie and positivity within our culture, and we are unified in our commitment to becoming an antiracist company. We are differentiated by our truly people-first approach, our compassionate leadership, and our belief that we can bring joy and inspiration to athletes’ lives — now more than ever. All to say, it’s a great time to join Strava!
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence ETL Machine Learning Python R SQL Statistics Tableau
Perks/benefits: Career development
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