Senior Healthcare Data Analytics Engineer

greenbrookmedical; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Greenbrook Medical is building the new standard in primary care with data-driven decision making. We are hiring our first dedicated data professional to own the analytics platform, harden production systems, and deliver reliable metrics across the organization.

You will work on dbt models, Python-based data transformations, and dashboards in Google Cloud, partnering with the engineering and pop health teams to define business metrics and ensure data trust and uptime.

Qualifications

• Fluency in dbt and Python.
• Hands-on experience with health care datasets and interoperability frameworks such as FHIR and HL7.
• Bachelor's degree required.
• Ability to partner with business and clinical managers on defining metrics rather than building to spec.

Responsibilities

• Own the Analytics Layer: build and maintain dbt models and business logic; work within Google Cloud to iterate on our logic.
• Ensure consistency in definitions across all surfaces for Greenbrook metrics and workflows.
• Take ownership of production systems; ensure uptime and system integrity; respond to issues within SLAs.
• Build dashboards to support organizational decision-making and report to stakeholders.
• Sit in operating meetings where data is used to drive decisions and define what data is needed.

Skills

dbt

Python

Health care data

FHIR/HL7 familiarity

Education

Bachelor's degree

Tools

Google Cloud

Job description

Greenbrook Medical is building the new standard in primary care with data-driven decision making. We are hiring our first dedicated data professional to own the analytics platform, harden production systems, and deliver reliable metrics across the organization.

You will work on dbt models, Python-based data transformations, and dashboards in Google Cloud, partnering with the engineering and pop health teams to define business metrics and ensure data trust and uptime.