Senior Business Analyst

Strava • San Francisco, CA

5d • Hybrid

About The Position

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, BizOps, Finance 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 roles, ideally in a consumer-facing subscription business.
• Bachelor’s degree in a quantitative field such as math, statistics, physics, economics finance or data science.
• You’re a clear, structured communicator who can translate complex analysis into crisp narratives and recommendations for non-technical and executive audiences.
• Comfortable working both cross-functionally and independently.
• You have an understanding of data pipeline concepts (e.g. ETL, scripting, common analysis workflows).
• You are an expert with SQL and have experience with Business Intelligence tools (e.g. Tableau, Amplitude).
• You have experience working on subscription or membership-based products, using data and insights to drive subscriber acquisition, engagement, and long-term retention.
• You have a proven track record of working closely on global business strategy with an understanding of financial accounting impacts.
• You have experience with experimentation and AB testing, including design, implementation and methodologies.

Responsibilities

• Act as a go-to analytical expert for our core business drivers (e.g. subscriptions, retention, churn) and help teams understand what moves those metrics.
• Analyze large datasets to uncover insights that deepen our understanding of business trends, identifying opportunities for growth.
• Provide the “source of truth” for internal consumers by owning critical analytical reporting (e.g. active users, retention rates, subscription renewals).
• Own end-to-end data solutions including: data instrumentation, ETL and modeling, developing dashboards and presenting findings to cross-functional teams and leadership.
• Proactively surface trends and insights, quantify the impact, and translate them into clear actions for stakeholders.
• Conduct AB tests with product teams to measure impact and direct product strategy.
• Collaborate with the rest of the data organization at Strava (Data Science, Data Platform, Data Engineering) to collectively improve our technological craftsmanship.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level