
Analytics Engineer at Counsel Health (New York, NY)
Counsel Health· New York, NY·
Role details
Job description
ABOUT COUNSEL counsel.health
Counsel’s mission is to multiply the world's healthcare capacity. We believe in a future in which every person has a personalized, AI-enabled doctor always in their pocket. To accomplish this, we’re building the first fully-vertical, AI-native medical group from the ground up. We’ve redesigned the entire clinical stack with custom AI tools that make our in-house physicians 10x faster and smarter. [learn more on our blog counselhealth.com/blog]
Since our founding in 2023, we have formed partnerships with leading healthcare organizations and are on track to serve hundreds of thousands of patients on our platform within the next year. We have raised over $35M from a16z, Google Ventures, Pear VC and other top-tier VC firms.
Our team combines deep expertise in medicine (Harvard, Mt. Sinai, Mass General, UCSF) and technology (MIT, Google, DeepMind, NVIDIA, Stripe, Meta) — and we’re looking for exceptional people to join us as we scale.
Join us as we build the future of AI in healthcare!
-----------------------------------------------------
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.
-----------------------------------------------------
ABOUT COUNSEL counsel.health
Counsel’s mission is to multiply the world's healthcare capacity. We believe in a future in which every person has a personalized, AI-enabled doctor always in their pocket. To accomplish this, we’re building the first fully-vertical, AI-native medical group from the ground up. We’ve redesigned the entire clinical stack with custom AI tools that make our in-house physicians 10x faster and smarter. [learn more on our blog counselhealth.com/blog]
Since our founding in 2023, we have formed partnerships with leading healthcare organizations and are on track to serve hundreds of thousands of patients on our platform within the next year. We have raised over $35M from a16z, Google Ventures, Pear VC and other top-tier VC firms.
Our team combines deep expertise in medicine (Harvard, Mt. Sinai, Mass General, UCSF) and technology (Google, DeepMind, NVIDIA, MIT, Stripe) — and we’re looking for exceptional people to join us as we scale.
Join us as we build the future of AI in healthcare!
Recruitment Fraud Notice Counsel Health only communicates with candidates using official @counselhealth.com 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 careers@counselhealth.com.
#LI-PINJOB
Recruitment Fraud Notice. Counsel Health only communicates with candidates using official @counselhealth.com 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 careers@counselhealth.com.
Counsel Health participates in E-Verify e-verify.gov All newly hired employees are processed through the E-Verify system to confirm employment eligibility.
Why work at Counsel Health
- Culture & Mission: Opportunity to build the “modern front door to healthcare” with a strong emphasis on safety, privacy, and evidence-based medicine. The company is mission-driven to make high-quality care accessible to everyone.
- Growth Trajectory: Rapidly scaling startup (190% headcount growth YoY) backed by top-tier VCs (a16z, GV). Employees can have significant impact in a small but growing team (38 people).
- Remote/Hybrid Policy: Not explicitly stated, but the team is distributed across multiple countries (US, Nigeria, Ireland, Iran, South Africa). Likely remote-friendly with a hub in Boston.
- Engineering Culture: Heavy focus on AI, data, and fullstack engineering (multiple open roles for Software Engineers, Analytics Engineer, Product Manager). The tech stack involves medical AI, HIPAA/SOC 2 compliance, and building scalable enterprise integrations.
- Perks: Unlimited AI chat for free, physician visits at $29 (or $199/year), transparent pricing, and a focus on user privacy (no data sold, no AI training on user data).