Senior Engineer, Data & Analytics

About the role

We're hiring our first dedicated data person. This person will build on our existing data platform, harden it to ensure consistent performance and build upon our metric library to ensure that our operators can monitor performance across all of our levers. Success in this role means end to end ownership, from data platform to metric delivery and visualization in dashboarding tools. As Data and Analytics Engineer, you own four things: The analytics layer: the dbt models and business logic that turn raw data into something usable, and the metric definitions underneath them; Reporting and BI: the reporting layer the whole business reads from; Our production systems: you take ownership of systems as they come in-house from our engineering partner, harden them, and keep making them better, with accountability for uptime & system integrity; The partnership with our engineering team: you are the internal counterpart who knows both the business and the systems well enough to resolve most issues directly. This is a build-and-own role. Our engineering partner stands up a new capability; you take it on once it is live, harden it, and keep improving it. You work as their peer rather than their coordinator. You also partner closely with the pop health team (who owns our value drivers) in defining metrics and deciding together what the business needs to see. You report to the VP of Growth and Population Health. Location: New York City strongly preferred (Hybrid). Open to exceptional remote candidates.

Responsibilities

• Own the Analytics Layer
  • Build and maintain the dbt models and business logic our metrics and workflows depend on.
  • Work within Google Cloud to iterate on our business logic and transformation infrastructure.
  • Ensure consistency in definitions across all surfaces at Greenbrook.
  • Work with the performance managers on what needs measuring and what good looks like in their areas.
• Take Ownership of What's in Production
  • Take on systems as they move from our engineering partner into steady state, and keep them healthy.
  • Be accountable for uptime & system integrity – catch ingestion and pipeline issues or logic bugs and resolve them within our SLAs.
  • Develop monitoring and uptime reporting.
  • Ensure a performant system. Optimize workloads and runtime.
  • Keep improving what you take on rather than only maintaining it.
• Partner Across the