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Data Analyst
$72,700–$106,050/year
About Oscar
Oscar is a health insurance company built on a full-stack technology platform, offering members personalized and high-quality care. Founded in 2012, Oscar is reimagining health insurance as a trusted partner for affordable and efficient healthcare.
The Role
As an Operations, Data Analyst, you’ll collaborate across departments to analyze and improve financial and utilization metrics. Your work will support reducing medical waste and delivering affordable, high-quality care for Oscar’s members.
Responsibilities:
- Analyze data to drive informed, data-driven decisions across teams.
- Create and maintain dashboards, updating them to meet evolving needs.
- Use data storytelling to present findings to non-technical stakeholders.
- Develop tools and models to identify inefficiencies and generate insights.
- Collaborate with teams to implement actions and monitor improvements.
- Support various operational projects and ensure compliance with laws and regulations.
Qualifications:
- 2+ years of SQL experience (filtering, aggregating, building CTEs).
- 1+ years with visualization tools (e.g., Tableau, Power BI, Looker).
- Proficiency in handling large datasets and extracting actionable insights.
- Strong communication skills for bridging technical and non-technical teams.
- Advanced skills in Google Sheets/Excel (VLookup, nested if statements).
Bonus Points:
- Experience in healthcare analytics, value-based contracts, or population health.
- Familiarity with healthcare contract negotiations, risk adjustment, or ACA marketplace.
- 1+ years developing dashboards using tools like Looker.
- Knowledge of healthcare, finance, or insurance industries.
Work Location:
- Remote role, with hybrid options for those near offices in New York City, Tempe, or Los Angeles.
- Must reside in one of 30+ eligible states in the U.S.
Compensation & Benefits:
- Base salary: $72,700–$106,050/year (varies by location).
- Benefits: Unlimited PTO, health insurance, performance bonuses, and more.
Join Oscar and contribute to transforming health insurance through technology and data-driven solutions. Apply now!