Product Analyst, Explore

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.

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About This Role

Strava is the app for active people. With over 135 million athletes in more than 190 countries, it’s more than tracking workouts—it’s where connection, motivation, and personal bests thrive. No matter your activity, gear, or goals, Strava’s got you covered. Find your crew, crush your milestones, and keep moving forward. Start your journey with Strava today and Join the Strava Club.

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

We follow a flexible hybrid model that generally translates to around half your time on-site in our San Francisco office—roughly three days per week.

You're excited about this role 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 (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 
  • 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.

Compensation Overview

At Strava, we know our employees are the most important ingredient to our success, and our compensation and total rewards programs reflect that. We take a market-based approach to pay, and pay may vary depending on the department and your location. Salary ranges are categorized into one of three tiers based on a cost of labor index for that geographic area. We will determine the candidate’s starting pay based on job-related skills, experience, qualifications, work location, and market conditions. We may modify these ranges in the future. For more information, please contact your talent partner.

Compensation: $145,000 - 160,000. The base salary posted is within the compensation range for this role. This range reflects base pay only and does not include, equity, or benefits. Your recruiter can share more about the specific salary range for your location during the hiring process.

For more information on benefits, please click here.

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. 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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Tags: Business Intelligence ETL Machine Learning Python R SQL Statistics Tableau

Perks/benefits: Career development Equity / stock options Flex hours Team events

Region: North America
Country: United States

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