The healthcare system is the leading cause of personal bankruptcy in the U.S., with millions suffering adverse financial consequences from seeking care. High deductible health plans are exacerbating this issue. Cedar aims to make healthcare more affordable and accessible by leveraging data science, smart product design, and personalization to improve the patient payment and engagement experience.
Requirements
- Understanding of statistical methods for research and experimentation purposes
- Experience collaborating with product, design, and engineering teams
- SQL and Python expertise is a must-have
- Experience with dbt, Hex, and Looker is a nice to have
Responsibilities
- Partner with the Product, Design, and Engineering teams to develop an understanding of user behavior and opportunities for product improvement using data
- Influence data focused decision making on product teams to move metrics and improve the patient experience
- Perform exploratory research to provide product teams with new strategic ideas and levers to improve impactful metrics
- Analyze, measure, and track the performance and success of product features
- Identify data insights and recommendations for product teams to act and iterate on
- Ideate, design, and evaluate product experiments
- Build dashboards and visualizations to democratize data insights
Other
- 5+ years of experience in an analytical role, bonus points for healthcare, fintech, e-commerce, or other related industries
- A go-getter attitude, passion for delivering a world-class product experience, and a mindset focused on growth and learning
- An analytical attitude and passion for finding opportunities and insights within data
- Present and clearly communicate data findings and underlying methodology to partners across all levels of the organization
- Think from the perspective of a user and develop expert intuition of Cedar’s data models and product