Senior Product Analyst

About the Role

Key Responsibilities

• Analyze data to uncover insights that deepen our understanding of the user experience, identifying opportunities to improve engagement and retention, reinforce value, and grow subscriptions.
• 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) to collectively improve our technological craftsmanship.

Requirements

• 4+ years of full-time experience in analytics, data science, or other quantitative domains, preferably in consumer-facing tech.
• Bachelor's degree in a quantitative field such as math, statistics, physics, economics or data science.
• A clear communicator with an orientation towards impact, comfortable working both multi-functionally and independently.
• Deep understanding of data pipeline concepts (e.g., ETL, scripting common analysis workflows).
• Highly proficient with SQL and experience with Business Intelligence tools (e.g., Tableau, Amplitude).
• Experience defining and building key metrics and dimensions to monitor product and business performance.
• Experience with experimentation and A/B testing, including design, implementation, and methodologies (e.g., hypothesis testing and regression analysis).
• Hands-on experience working with statistical programming languages (e.g., R, Python) for data wrangling and modeling.
• Comfortable managing concurrent projects and meeting goals despite competing deadlines and priorities.
• Experience working on subscription or membership-based products, using data and insights to drive subscriber acquisition, engagement, and retention.
• Proven track record of working closely on global business strategy with an understanding of financial accounting impacts.

Nice to Have

• Experience with data pipeline concepts and scripting workflows.
• Experience with global business strategy and financial impacts.

Qualifications

• Bachelor's degree in a quantitative field such as math, statistics, physics, economics or data science.

Benefits & Perks

• Salary range of $176,000 - $187,000, depending on skills, experience, and location.
• Market-based pay with potential variations based on geographic area.
• Total rewards programs reflecting employee importance.
• Flexible hybrid work model with approximately three days on-site in San Francisco or Denver.
• Opportunities to join a passionate, global community dedicated to movement and innovation.