This range reflects base compensation only and does not include equity or benefits. Your recruiter can share more details about the full compensation package during the hiring process.

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 zones 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.

About Strava

Strava is the app for active people. With over 180 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey with Strava today.

Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.

We are looking for an experienced analyst in a full-time role to be a key member of our Business Analytics team. This team is focused on driving subscription and user retention growth by conducting deep data analyses across all of Strava’s business drivers. You will collaborate with Product, Engineering, Design and leadership to accelerate learning, make data-informed decisions, and define data-inspired solutions to fuel the growth of Strava’s platform. This role reports to an analytics manager and partners tightly with cross-functional collaborators throughout the company.

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

What You’ll Do:

• 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.

What You'll Bring to the Team:

• You have 4+ years of full-time 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, Amplitude).

• 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 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 have hands-on experience working with statistical programming languages (e.g. R, Python) for data wrangling and modeling.

• You have experience working on subscription or membership-based products, using data and insights to drive subscriber acquisition, engagement, and long-term retention.

Why Join Us?

Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.

Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.

When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.

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 teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.

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.

Compensation Range: $176K - $187K