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Hi, we’re Oscar. We’re hiring an Analytics Engineer I to join our Data 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.
The Analytics Engineer I designs, builds, and maintains dimensional models and data transformations that convert raw operational data into reliable, well‑structured analytical assets. You’ll work within Oscar’s unified data foundation in dbt, partnering with domain experts and stakeholders to capture business logic and translate it into dimensional models that serve analytics use cases across the organization. Under the guidance of more senior Analytics Engineers, you’ll build and maintain models, implement automated tests to ensure long‑term data product health, and contribute to the semantic layer that powers enterprise business intelligence. This is a hands‑on role focused on growing your craft in dimensional modeling, SQL, and analytics engineering within a healthcare environment.
You will report into the Associate Director, Data Science.
This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in‑office work per week. Thursdays are a required in‑office day for team meetings and events, while your other two office days are flexible to suit your schedule.
The base pay for this role is $106,812 – $140,190.75 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.
Full‑time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination‑free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support.