Senior Analytics Engineer, Healthcare Data

Take a Seat Tech; New York (NY); Hybrid; USD 149,000 - 196,000; Full time

Job summary

Take a Seat Tech in New York is seeking a Senior Analytics Engineer to turn fragmented healthcare data into trustworthy analytics foundations. The role focuses on creating dependable models and shared definitions for trusted analysis.

You will build dimensional models in dbt, reconcile source systems, and collaborate with business specialists to capture the data logic, improving transformation pipelines and data quality.

Qualifications

• Four or more years in analytics engineering, data engineering or similar.
• Strong SQL, practical dbt and dimensional modeling.
• The ability to turn business questions into well-designed data structures.

Responsibilities

• Build dimensional models in dbt.
• Reconcile inconsistent source systems and improve transformation pipelines.
• Work with business specialists to capture the logic behind the data.
• Expand quality checks and contribute to reusable analytics standards.

Skills

SQL

dbt

dimensional modeling

Job description

# Senior Analytics Engineer, Healthcare DataA hybrid New York senior analytics engineer role building trusted dbt models at a technology-led health insurance company, paying $149,040 to $195,615 plus equity and bonus eligibility.$149,040 to $195,615 a year New York, New York (Hybrid)FULL\\_TIMEBrowse open rolesHealth Insurance / HealthTechData & AIFULL\\_TIME## About the roleGive healthcare teams numbers they can trust.A technology-led health insurance company is hiring a Senior Analytics Engineer to turn fragmented operational data into consistent analytical foundations. The job is the engineering behind trustworthy analysis: shared definitions, dependable models and data that makes sense across the organization.At a glanceSalary: $149,040 to $195,615 a year, plus equity and performance bonus eligibilityLocation: New York City. Hybrid, three office days including ThursdayStack: SQL, dbt, dimensional modeling, cloud data platformsWhat you will doBuild dimensional models in dbt.Reconcile inconsistent source systems and improve transformation pipelines.Work with business specialists to capture the logic behind the data.Expand quality checks and contribute to reusable analytics standards.What you will bringFour or more years in analytics engineering, data engineering or similar.Strong SQL, practical dbt and dimensional modeling.The ability to turn business questions into well-designed data structures.Healthcare, insurance or semantic layer experience is useful.Why this roleOwnership of foundational data work, with room to set standards, mentor colleagues and shape how the business uses information.How to applyApply with your resume.