H
2 months ago
Job Summary
As a Manager of Product Analytics you and your team will shape the customer experience through high quality experimental design and hypothesis testing. You will work cross-functionally with product managers, growth leads, and marketing managers in a fast paced collaborative environment. Your knowledge of A/B testing and digital analytics combined with your background in experimental design will allow Hims and Hers to build best-in-class customer experiences. This position will report to the Senior Manager of Product Analytics.
- Minimum Qualification : Degree
- Experience Level : Senior level
- Experience Length : 5 years
Job Description/Requirements
You Will:
- Build best-in-class customer experiences by testing into sticky product experiences
- Build business-facing dashboards and do in-depth analyses that state both the statistical significance and the business impact of an experiment
- Work with your team to define and curate the experimentation roadmap for the product and growth teams
- Enable data self-service by designing templates that are easy to understand using relevant KPIs
- Define the success of tests as well as recommended improvements to the product from the results
- Collaborate cross-functionally across analytics teams, engineering teams, and the growth team to improve the customer experience
- Distill our knowledge of tests into playbooks, that can be implemented and utilized to help us transform our digital experience
- Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences and lifecycle communications
- Partner with cross-functional teams including product, engineering, growth, and finance to align analytics initiatives with business objectives
- Conduct deep-dive analyses to answer specific business questions and provide actionable recommendations to product, marketing, and operational teams
You Have:
- 5+ years of analytics experience
- 4+ years of experience in A/B testing
- Experience working with subscription metrics
- Experience working with CRM data and lifecycle communication
- A strong work ethic and the drive to learn more and understand a problem in detail
- Strong organizational skills with an aptitude to manage long-term projects from end to end
- Strong SQL skills
- Expert working with GitHub
- Experience programming in Python, SAS, or R
- Experience in data modeling and statistics with a strong knowledge of experimental design and statistical inference
- Advanced knowledge of data visualization and BI in Looker or Tableau
- Ability to explain technical analyses to non-technical audiences
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