About This Role
Strava is the leading social platform for athletes and the largest sports community in the world, with US offices located in San Francisco and Denver and over 93 million athletes in 195 countries. If you sweat you’re an athlete, and Strava’s mobile apps and website connect millions of active people every day.
We are looking for an experienced analyst interested in a full time role to help develop and scale Strava’s foundational analytical processes and data sets. You will collaborate with other analysts, data platform engineers, and cross-functional data consumers to develop the frameworks and data models that will help to multiplicatively scale the impact of data at Strava. You will enhance your technical skills to implement data analysis tools and systems while also developing the knowledge of Strava’s athlete community and business that will ensure the relevance and effectiveness of your work. This role will report to an Analytics Manager and will work across the data team to promote Analytics best practices.
You’re excited about this opportunity because you will:
Lead the development of analytical frameworks and tools that can scale the efficiency by which we can find meaning in our internal data
Collaborate with the analytics team to develop best practices for common analytical workflows and with Strava’s leadership to standardize patterns of analysis for reporting, estimation, and forecasting
Partner with the Analytics and Data Platform teams to shape the roadmap for foundational analytical work
Collaborate with the rest of the data organization at Strava (Machine Learning, Data Platform, etc) to collectively improve our technological craftsmanship
You will be successful here by:
Thinking about scalability and building reusable data sets and self-service tools to empower your collaborators to learn along with you
Leading efforts to better understand the ways in which internal products and tools will drive the most impact to our internal processes
Not being afraid to ask questions, learn, share and iterate on ways of working, your product space, and analytics capabilities
We’re excited about you because:
4+ years of full-time experience in analytics, data science, or other quantitative domains.
You are highly proficient with SQL and have experience with Business Intelligence tools (e.g. Tableau)
You have an understanding of data pipeline concepts (e.g. ETL, scripting common analysis workflows)
You have experience with experimentation, including design, implementation, and methodologies (e.g. hypothesis testing, regression analysis) for analyzing and interpreting results
You enjoy building foundational tools and data sets that unlock the effectiveness of data users across the company
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. And with billions of activity uploads from all over the world, we have a humbling and audacious 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. And 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.
In light of the global pandemic, Strava is currently working in a fully remote capacity. As always, we remain committed to fully supporting our employees, especially their mental health and wellbeing, through these challenging times. 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.
For more information on compensation and benefits, please click here.