This role is offered for a 10 month, fixed-term duration.
Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time.
Job overview
As a Senior Data Analyst on the Product Analytics team, you will be a strategic thought partner with substantial autonomy, shaping how we use data to build products that improve the lives of our members. You will work side-by-side with product managers, engineers, clinicians, and business leaders to uncover insights, influence roadmaps, and measure impact.
The Product Analytics team develops the reports, tools and insights that drive product decisions across Omada. Using data from app engagement, clinical outcomes, behavioral health indicators and claims, you will help product and engineering teams identify and solve the most important challenges facing our customers and members. In this role, you will own high-visibility analytics workstreams end to end—from defining the problem to communicating recommendations to executives.
The key job responsibilities include, but are not limited to:
- Own the data architecture and data mapping strategy that powers our product reporting, ensuring teams can self-serve reliable insights.
- Deliver key performance insights through regular and ad-hoc analyses that guide investment decisions and the evolution of Omada programs.
- Lead product experimentation, including test design, sample size determination, A/B testing, and clear communication of results and trade-offs.
- Design, build, and maintain intuitive Amplitude and Tableau dashboards (or similar BI tools) that become the source of truth for product teams.
- Partner closely with data engineering and other data teams to improve data quality, standardize definitions, and scale reporting across the organization.
- Define and refine operational processes, and support system enhancements that make analytics and reporting more efficient and impactful.
- Collaborate across analytics, data science, engineering, clinical, and product teams to drive aligned, data-informed decisions.
- Explore and integrate AI-driven approaches into product analytics use cases to level up how we generate insights and automate decision support.
About you:
The ideal candidate should have the following Qualifications, Experience, and Education:
- At least 2+ years of deep expertise in product or mobile analytics, including user behavior analysis, ideally 7+ years of experience