Product Analyst
Posted on 12/2/2023
INACTIVE
Strava

201-500 employees

Fitness tracker with social network features
Company Overview
Strava's mission is to connect athletes to what motivates them and help them find their personal best. The company builds a community-based fitness tracking app.

Company Stage

Series F

Total Funding

$151.9M

Founded

2009

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

3%

1 year growth

10%

2 year growth

29%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
R
SQL
Tableau
REST APIs
Data Analysis
CategoriesNew
Data & Analytics
Software Engineering
Requirements
  • You are a strong communicator with an orientation towards impact, and you are comfortable working both cross-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)
  • You have hands-on experience with experimentation, including design, implementation, and methodologies (e.g. hypothesis testing and regression analysis) for analyzing and interpreting results to stakeholders
  • You have hands-on experience working with statistical programming languages (e.g. R, Python) for data wrangling and modeling
  • You are 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 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 (e.g. machine learning, data platform) to improve our technological craftsmanship
Desired Qualifications
  • You have 3+ years of experience in analytics, data science, or other quantitative domains. Experience in consumer-facing businesses is a plus