If you’re passionate about turning complex data into meaningful business insights, this is an excellent opportunity to join Oscar Health as an Analytics Engineer in New York City. You’ll work with cross-functional teams to build reliable data models, improve analytics capabilities, and help drive data-informed decision-making across the organization. If you enjoy solving challenging problems with data while working in a collaborative, mission-driven environment, this role is worth exploring.
Job Overview
| Field | Details |
|---|---|
| Company Name | Oscar Health |
| Role | Analytics Engineer |
| Qualification | Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Statistics, or a related field (or equivalent experience) |
| Job Location | New York City, New York, USA |
| Salary | $107,000–$140,000 per year |
| Work Type | Hybrid |
| Job Type | Full-Time |
| Job Level | Entry Level |
| Industry | Health Technology / Health Insurance |
Job Description
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.
Responsibilities:
- Demonstrates a strong working knowledge of Oscar’s analytics technologies and tools as well as the breadth of content contained within.
- Contribute to the development and documentation of best practices for engineering and analytics development, consistent with industry standards and internal guidelines.
- Under the guidance of more senior Analytics Engineers, partner with Subject Matter Experts and Business stakeholders to explore data, define business requirements, design and implement solutions for one or more data transformation and/or downstream semantic layer systems.
- Advance the Analytics Engineering roadmap by executing on small-to-medium projects with minimal oversight
- Contribute to the administration of the analytics platform, including but not limited to active participation in support channels and actioning access requests.
- Leverage a working knowledge of existing data quality checks as well as monitoring and alerting pipelines to perform Root Cause Analyses of data defects as needed and escalate to the appropriate team when warranted.
Requirements:
- 1+ years of experience in Analytics Engineering, Data Science, or a related field.
- 1+ years of experience working with SQL.
- 1+ years of experience developing in a semantic modeling language (e.g. LookML).
- 1+ years of experience developing within a modern data transformation tool like DBT.
- 1+ years of experience with cloud database tools (GCP, AWS, Azure).
Bonus points:
- Experience working with healthcare or insurance industry data, analytics, and reporting.
- Experience with Google Cloud Platform and dbt.
- Experience building dimensional models (star schemas, slowly changing dimensions).
- Strong communication skills, as demonstrated by experience partnering with non-technical stakeholders.
Selection Process
- Application submission
- Resume screening
- Recruiter interview
- Technical assessment
- Hiring manager interview
- Final interview(s)
- Offer and background verification
How to Apply
- Visit Oscar Health’s official careers page.
- Search for the Analytics Engineer position in New York City.
- Review the job description and eligibility requirements.
- Prepare an updated resume highlighting your analytics and data engineering experience.
- Complete the online application form.
- Upload the required documents and submit your application.
- Monitor your email for updates from the recruitment team.
