Senior Product Analyst, Strava

• Have 4+ years of full-time experience in analytics, data science, or other quantitative domains, preferably in consumer-facing tech
• Graduated with a Bachelor’s degree in a quantitative field such as math, statistics, physics, economics or data science
• Are a clear communicator with an orientation towards impact, and you are comfortable working both multi-functionally and independently
• Have a deep understanding of data pipeline concepts (e.g. ETL, scripting common analysis workflows)
• Are highly proficient with SQL and have experience with Business Intelligence tools (e.g. Tableau, Amplitude)
• Have experience defining and building key metrics and dimensions to monitor product and business performance, ensuring they accurately reflect user behavior and drive decisions
• 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
• Have hands-on experience working with statistical programming languages (e.g. R, Python) for data wrangling and modeling
• Are comfortable managing concurrent projects and meeting goals, even in the context of competing deadlines and priorities

• We are looking for an experienced Senior Product Analyst in a full-time role to be a key member of one of our cross-functional product teams, User Lifecycle
• The team is responsible for helping users build lasting habits and connections by guiding them from signup to discovering the best of Strava, keeping them engaged and helping them live their best active lives
• You will collaborate with product managers, engineers, designers, 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 an analytics manager and partners tightly with cross-functional collaborators throughout the company
• Analyze data to produce insights that shape our understanding of the user journey, from onboarding to becoming an engaged, long-term user, identifying opportunities to improve conversion, strengthen habits, and drive retention
• 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

• Competitive base salary & stock options
• 100% company paid benefits for employees and families
• Flexible paid time off
• $2,000 annual professional development stipend
• Paid time off for volunteering
• 401(k) plan - with company matching
• $1000 annual gear stipend
• $500 annual gym or coaching reimbursement
• On-site fitness rooms with showers, lockers, and towel service
• Weekly team workouts – including remote employees
• Safe and secure bike storage on-site
• Weekly all hands meetings
• Employee resource groups
• Anti-racism nonprofit company matching program
• Free lunch on Wednesdays on-site
• Regular team happy hours
• Team offsites and company retreats
• Cell phone reimbursement
• Generous industry discounts on gear and activities
• Race entries to events we sponsor
• Snacks and stocked kitchens on-site
• Strava gear

Total funding: $151.4m

Strava has created an online network where runners, swimmers and cyclists can record fitness activities, and compare and compete with their community. It offers both a free and premium subscription service with added features. The company also partners with local councils and urban planners who purchase valuable journey data from Strava which can be used to map out cities and develop safer cycle paths.