Analytics Engineer
Counsel Health - New York Office (Flatiron), New York City, New York, United States, Boston
Posted Apr 14, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Analytics Engineer New York Office (Flatiron), New York City, New York, United States, Boston About Counsel 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 ] 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 At Counsel Health, 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 who will own the semantic layer of our data, building and maintaining the core analytics data models that the rest of the company will use to turn raw data into insights.
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