Senior Product Analyst

Strava•San Francisco, CA

1d•$176,000 - $187,000•Hybrid

About The Position

Strava is looking for an experienced analyst in a full-time role to be a key member of one of their cross-functional product teams. You will collaborate with product managers, engineers, designers and researchers to accelerate learning, make data-informed decisions and define data-inspired solutions to meet athlete needs. This role reports to an analytics manager and partners tightly with cross-functional stakeholders 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

4+ years of full-time experience in analytics, data science, or other quantitative domains, preferably in consumer-facing tech.
Clear communicator with an orientation towards impact, and comfortable working both multi-functionally and independently.
Deep understanding of data pipeline concepts (e.g. ETL, scripting common analysis workflows, DBT).
Highly proficient with SQL and experience with Business Intelligence tools (e.g. Omni).
Experience defining and building key metrics and dimensions to monitor product and business performance, ensuring they accurately reflect user behavior and drive decisions.
Experience with experimentation and A/B testing, including design, implementation and methodologies (e.g. hypothesis testing and regression analysis) for analyzing and interpreting results.
Hands-on experience working with statistical programming languages (e.g. R, Python) for data wrangling and modeling.
Comfortable managing concurrent projects and meeting goals, even in the context of competing deadlines or priorities.

Responsibilities

Analyze data to produce insights that shape our understanding of our athletes, their usage patterns, and opportunities to improve their experience.
Collaborate closely with product managers and cross-functional partners to inform decisions and set strategy within a product team.
Advise product 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.
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.
Collaborate with the rest of the data organization at Strava (e.g. data science, data engineering) to improve our technological craftsmanship.