Senior Business Analyst

Strava • San Francisco, CA

14h • Hybrid

About The Position

Strava is the app for active people. With over 180 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. 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 an experienced analyst in a full-time role to be a key member of our Business Analytics team. This team is focused on driving subscription and user retention growth by conducting deep data analyses across all of Strava’s business drivers. You will collaborate with Product, Engineering, Design and leadership 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. We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office — three days per week.

Requirements

• You have 4+ years of full-time experience in analytics, data science, or other quantitative domains, preferably in consumer-facing tech.
• You are a clear communicator with an orientation towards impact, and you are comfortable working both multi-functionally and independently.
• You have a deep understanding of data pipeline concepts (e.g. ETL, scripting common analysis workflows).
• You are highly proficient with SQL and have experience with Business Intelligence tools (e.g. Tableau, Amplitude).
• You have experience defining and building key metrics and dimensions to monitor product and business performance, ensuring they accurately reflect user behavior and drive decisions.
• You 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.
• You have hands-on experience working with statistical programming languages (e.g. R, Python) for data wrangling and modeling.
• You have experience working on subscription or membership-based products, using data and insights to drive subscriber acquisition, engagement, and long-term retention.

Responsibilities

• Act as a go-to analytical expert for our User Lifecycle team, driving user engagement, retention and subscription growth.
• 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 (e.g. active users, retention rates).
• Own end-to-end data solutions including: data instrumentation, ETL and modeling and developing dashboards.
• Proactively surface trends and insights, quantify the impact, and translate them into clear actions for stakeholders.
• Analyze data to uncover insights that deepen our understanding of the user journey, identifying opportunities to reinforce value and improve retention.
• Collaborate with the rest of the data organization at Strava (Machine Learning, Data Platform, etc.) to collectively improve our technological craftsmanship.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed