Data Analyst, Marketing

Data Analyst, Marketing

This job has closed but is shown for context on data science work at Strava.

About This Role

Strava is the leading social platform for athletes and the largest sports community in the world, with over 85 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 hiring a data analyst to partner with our Marketing team and use Strava’s data assets to advance Strava’s brand and subscription product. Your collaboration will enable us to maximize the impact of our marketing operations by keeping the team focused on the right metrics for our teams, finding the right audiences for our campaigns, and increasing our collective understanding of the athletes in Strava’s global community. We know that a commitment to quantitative strategy and measurement will be essential to growing the reach and impact of our initiatives.

This role will report to an Analytics Manager and will also contribute to growing the capabilities of Strava’s data platform and promoting data culture across the company.

You’re excited about this opportunity because you will:

  • Inform the strategy behind Strava’s global brand and marketing organization

  • Empower marketers to know their audience through the development of self-serve data sources & execution of impactful ad-hoc analyses

  • Define the metrics that will be used to guide and evaluate marketing campaigns and the progress of the marketing strategy collectively

  • Become a subject matter expert on our brand, our product, and our athletes

  • 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:

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  • You have excellent communication skills, with the ability to construct compelling stories and clearly articulate them to a non-technical audience

  • You can manage a wide array of stakeholders and effectively prioritize work to maximize your impact

  • You like building reusable data sets and self-service tools to empower your collaborators

  • You are able to spot things in our data that others have overlooked, and are comfortable making recommendations that will help the broader team improve our self-service capabilities and ways of working.

We’re excited about you because:

  • 3+ 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 communicate effectively with marketers and various cross-functional stakeholders, and your written, oral, and cross-cultural communication skills are excellent- especially when it comes to quantitative or technical content

  • You’re 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. 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.

California Consumer Protection Act Applicant Notice

For more information on compensation and benefits, please click here

This job has closed but is shown for context on data science work at Strava.
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