Analytics Engineer

Counsel

$90K — $130K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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 in a regulated industry (healthcare, fintech, insurance, government) with a focus on managing sensitive data and access controls, HIPAA familiarity preferred
  • Experience with data orchestration tooling (Paradigm, dbt Cloud, Airflow, or similar)

Responsibilities

  • Build and maintain data models that define core business metrics like clinical outcomes and revenue
  • Run dbt orchestration with integrated alerting, CI/CD pipelines, and data quality testing
  • Stand up reverse ETL pipelines for clean, modeled data feeding into production systems
  • Implement and maintain access controls for PHI, ensuring HIPAA compliance

Benefits

  • Comprehensive healthcare, vision + dental
  • 401K
  • Unlimited PTO
  • Parental Leave
  • Significant opportunities for professional development in a rapidly scaling startup
Full Job Description
About The Role

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


Role location:

NYC - hybrid, Boston - hybrid, or East Coast - remote

What We Offer
  • Impact: Be at the forefront and contribute to groundbreaking, AI-driven healthcare experiences, directly interface with execs at the world's leading tech & healthcare orgs
  • Growth: Significant opportunities for broad ownership and professional development within our rapidly scaling startup
  • Compensation: Competitive salary + equity
  • Benefits: Comprehensive healthcare, vision + dental, 401K, Unlimited PTO, Parental Leave


Our Values
  • Patients come first.
    We are clinicians 1st, technologists 2nd. We act with patient trust/safety at the center of every decision.
  • Innovate with optimism.
    We are optimistic as we build the future of care delivery from first principles. Challenge the status quo when needed, no sacred cows.
  • Right answer wins.
    Debate openly and pick the strongest path. We optimize for the company, not functions. We win and lose as a team.
  • Simplicity over complexity.
    We choose clear, elegant solutions and avoid adding complexity that does not serve patients or the team.
  • Do fewer things, well.
    We focus, and hold ourselves to the highest bar and pursue excellence in those areas.


Recruitment Fraud Notice
Counsel Health only communicates with candidates using official [redacted].com email addresses. We will never ask for payment or financial information during the interview process. If you receive suspicious outreach claiming to be from Counsel Health, please contact us at [redacted].

#LI-PINJOB

Recruitment Fraud Notice. Counsel Health only communicates with candidates using official @counselhealth.com email addresses. We will never ask for payment or financial information during the interview process. If you receive suspicious outreach claiming to be from Counsel Health, please contact us at [redacted].

Similar Jobs

More Jobs at Counsel

More Healthcare Jobs

Find similar Analytics Engineer jobs: