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Analytics Engineer

Counsel Health LogoCounsel Health
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Salary

$185,000 - $210,000

Location

Remote

Posted

Today

We've built a strong data foundation: a cloud warehouse, ETL pipelines, and event tracking are all in place. Now we need someone to make that data mean something.

We're looking for an Analytics Engineer to own the semantic layer, building and maintaining the core data models the rest of the company relies on to turn raw data into insight. You'll be the person everyone trusts to answer "how do we measure this?"

You'll be our first dedicated analytics hire, which means you set the standards, choose the patterns, and shape how Counsel uses data for years to come. The infrastructure is built, the warehouse is running, and the company is growing. What's missing is the person who makes the data layer actually work, turning raw tables into the trusted models that power every dashboard, every data product, and every strategic decision.

What you'll do

  • Build and maintain the data models that define our core business metrics, from clinical outcomes to revenue to utilization, and own the sources of truth the whole company relies on
  • Run dbt orchestration with integrated alerting, CI/CD pipelines, and data quality testing that catches issues before they reach a dashboard
  • Stand up reverse ETL pipelines that feed clean, modeled data back into production systems, including population cohort definitions, marketing intelligence, and operational features
  • Implement and maintain access controls for PHI, keeping the data layer HIPAA-compliant while staying accessible to the people who need it

What you'll bring

  • 3+ years of experience in analytics engineering, data analytics, or a hybrid data role
  • Deep expertise in SQL and dbt
  • Experience with BigQuery or comparable cloud data warehouses (Snowflake, Redshift)
  • Experience working in a regulated industry (healthcare, fintech, insurance, government) with a proven ability to manage sensitive data and access controls, HIPAA familiarity a plus
  • Experience with data orchestration tooling (Paradigm, dbt Cloud, Airflow, or similar) and integrating analytics data back into production systems

Who you are

  • Thinks in business entities and stakeholder questions, not just tables and joins, and turns fuzzy requirements into clean, well-modeled data
  • Treats dbt as a primary tool, writing clean, modular, well-tested transformations, with strong opinions about how a dbt project should be organized
  • Comfortable managing orchestration, environments, and reverse ETL pipelines without hand-holding, even without being a dedicated data engineer
  • Doesn't just model data, but asks why someone needs it and how it drives a patient or business outcome
  • Feels energized by creating structure in ambiguous, fast-moving environments, and can synthesize needs from multiple stakeholders into a clear data strategy

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