Analytics Engineer

Oscar Health; New York (NY); On-site; USD 85,000 - 110,000; Full time

Job summary

Oscar Health is seeking an Analytics Engineer I to design and maintain dimensional models and data transformations within our unified data foundation. You will partner with domain experts to translate business logic into analytics-ready dimensional models supporting analytics use cases across the organization.

Under guidance from senior Analytics Engineers, you’ll build models, implement automated tests for data quality, and contribute to the semantic layer powering enterprise BI.

Qualifications

• 1+ year of experience with DBT or similar data transformation tool.
• 1+ year in Analytics Engineering, Data Science, or related field.
• 1+ year with cloud databases (GCP, AWS, Azure).
• 1+ year working with SQL.
• 1+ year in semantic modeling language (LookML).
• Strong communication with non-technical stakeholders.
• Experience building dimensional models (star schemas, slowly changing dimensions).
• Experience with Google Cloud Platform and dbt.
• Experience with healthcare or insurance data.

Responsibilities

• Design and maintain dimensional models and data transformations from raw data into analytics assets.
• Collaborate with domain experts to translate business logic into dimensional models for analytics use cases.
• Build and maintain models, implement automated tests for data quality.
• Contribute to semantic layer powering enterprise BI.
• Partner with SMEs and stakeholders to explore data and design solutions.
• Advance analytics engineering roadmap with small-to-medium projects.
• Assist in administration of analytics platform and access requests.
• Perform root cause analyses of data defects and escalate when needed.

Skills

dbt

SQL

LookML

Data modeling

Analytics

Communication

Tools

dbt

LookML

GCP/AWS/Azure

SQL tooling

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
• You will report into the Associate Director, Data Science
• 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 elevate to the appropriate team when warranted

• 1+ years of experience developing within a modern data transformation tool like DBT
• 1+ years of experience in Analytics Engineering, Data Science, or a related field
• 1+ years of experience with cloud database tools (GCP, AWS, Azure)
• 1+ years of experience working with SQL
• 1+ years of experience developing in a semantic modeling language (e.g. LookML)
• Strong communication skills, as demonstrated by experience partnering with non-technical stakeholders
• Experience building dimensional models (star schemas, slowly changing dimensions)
• Experience with Google Cloud Platform and dbt
• Experience working with healthcare or insurance industry data, analytics, and reporting