Hi, we're Oscar. We're hiring a Senior Analyst, Individual and Family Plan Insurance Solutions to join our Insurance Product Development team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family.
About the role:
The Senior Analyst, Individual and Family Plan Insurance Solutions, provides foundational analytical research and product level support across Oscar's individual and family (IFP) and employer-subsidized product portfolios. This role focuses on data analysis, market and competitive research, and performance monitoring of our markets to inform product strategy, design decisions, and execution readiness across on-exchange and employer-subsidized (ICHRA) solutions.
This role operates horizontally across product lines and segments, serving as an insight engine for product teams and enabling data-driven decision making in a regulated, multi-market environment.
You will report into the Vice President, Insurance Product Innovation and Development
Work Location: This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Florida, Georgia, Illinois, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Texas, or Virginia. Note, this list of states is subject to change. #LI-Remote
Pay Transparency: The base pay for this role is: $83,628 - $109,761 per year in New Jersey, New York, and California. The base pay for all other locations is: $75,265 - $98,785 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.
Responsibilities:
Market, Policy, and Competitive Research
- Play a key role in building, maintaining and identifying improvements to models that forecast membership growth and retention rates in support of strategic decisionsConduct market and competitive research across individual and employer-subsidized health insurance offerings
- Analyze competitor plan designs, benefit structures, pricing approaches, and positioning
- Track regulatory and policy developments and support impact assessments for product teams
- Support population and employer-segment research initiatives
Product Performance Analytics
- Analyze product performance across growth, retention, utilization, and margin metrics
- Build and maintain recurring dashboards and performance reports
- Support deep-dive analyses for product reviews, remediation efforts, and future-year planning
- Identify trends, anomalies, and emerging risks through data analysis
Product & Filing Support
- Support product teams during filing cycles through data validation, QA, and analytical support
- Assist in preparation of analytical material required for regulatory submissions and internal reviews
- Ensure data accuracy and consistency across product artifacts
Insight Translation & Communication
- Translate complex analyses into clear, structured insights for product and cross-functional partners
- Prepare summaries, exhibits, and briefing materials for product leadership
- Support documentation of learnings to inform future product cycles
- Compliance with all applicable laws and regulationsOther duties as assigned
Requirements:
- 1+ years developing and managing commercial insurance products.
- Travel up to 25% of the time
Bonus points:
- BS/BA degree in a quantitative or healthcare field such as Business, Healthcare, Economics, Mathematics, Statistics, Actuarial Science and Finance or equivalent years of experience.
- 1+ years in a fast-paced, cross-functional environment such as consulting, finance, economics, or business development
- Proven analytical experience with the analytical skills to translate hard data into insight and action
- Prior experience in Health Insurance (Individual and/or Small Employer) and/or Healthcare industry
- Demonstrated ability to navigate ambiguity to drive to outcomes, work with large datasets and distill analyses into actionable business insights with a structured and systematic thought process