About the position
Strava is the app for active people. With over 150 million athletes in more than 185 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. 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 a hands-on manager for our marketing analytics team that can split their time equally between team leadership and individual contributions. You will collaborate with marketers, product managers, engineers, and researchers to accelerate learning, make data-informed decisions and define data-inspired solutions to fuel the growth of Strava's platform. This role reports to the head of data 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 either our San Francisco, CA or NYC, NY office -roughly three days per week.
Responsibilities
- Lead a team of data analysts to support the diverse needs of a global marketing organization
- Drive strategic analytics initiatives to improve the efficiency and impact of the growth of Strava's community and subscription product
- Establish a learning agenda to create a foundation for robust marketing and product strategies
- Partner with product and marketing teams to design and interpret A/B tests to drive explainable subscription and user retention outcomes
- Collaborate with the broader data community at Strava (Data Science, Machine Learning, Data Platform, etc) to collectively improve our technological craftsmanship
Requirements
- 5+ years of full-time experience in analytics, data science, or other quantitative domains and have supported growth marketing teams
- 2+ years of experience leading high-functioning analytics teams
- Highly proficient with SQL and have experience with Business Intelligence tools (e.g. Tableau)
- Experience with using experimentation and other statistical methods to estimate incremental impact of marketing campaigns (e.g. time-series modeling, econometric methods)
- Hands-on experience working with statistical programming languages (e.g. R, Python)
- Understanding of data pipeline concepts (e.g. ETL, scripting common analysis workflows)
Benefits
- Market-based approach to pay
- Compensation range of $230,000 - $245,000
- Equity and benefits package available
