Senior Product Analyst
Updated on 8/31/2023
Jerry

201-500 employees

App to compare and buy car insurance
Company Overview
Jerry's mission is to save you time and money on car expenses.
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Product Design
SQL
CategoriesNew
Product
Requirements
  • Making a big impact with a Forbes Top Startup Employer
  • Working on products that have traction (40X revenue growth in 4 years | #1 rated app in the insurance comparison category)
  • Solving problems in a huge market ($2T market size)
  • Working closely with serial entrepreneurs and seasoned leaders who have scaled companies like Robinhood, Amazon, LinkedIn, Wayfair, SoFi, Microsoft, etc
  • Intellectually curious: You're not satisfied with surface level insights. You dive deep to understand how systems work, why people behave in certain ways and are intrinsically motivated to uncover root causes for issues or underlying reasons behind decisions
  • Data-driven: You're extremely analytical and live in data. At the same time, you're confident enough to make decisions when the data is limited
  • Creative problem-solver: No challenge is too complex, no issue is too hard, and “no” is not an acceptable answer
  • Strong communicator: Able to drive alignment and communicate effectively to different audiences
  • Bachelor's degree in Mathematics, Statistics, Economics, Computer Science or a related quantitative discipline
  • 3+ years experience as a product analyst in a consumer-facing web or mobile app environment
  • Experience designing and implementing A/B tests, and analyzing user experience
  • Hands-on experience with SQL (advanced proficiency)
Responsibilities
  • Partner closely with our product managers, software engineers, product designers, and key business leaders to drive user growth and retention for our core insurance product
  • Design, run, and analyze A/B experiments on new and existing features; extract key insights, share learnings and make recommendations on next steps
  • Build key reports, dashboards, and predictive models to monitor the performance of our insurance business, and communicate analytical outcomes to our teams
  • Transform and refine raw production data for analytical needs
  • Continually improve our data governance and data consistency standards within our database
  • Work with our data engineering team on data tracking, integrity, and security as needed; and our data scientists to evolve, optimize and integrate machine learning models