Founding Data Analyst

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!

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We're hiring a Founding Data Analyst to join our FinOps team and build the data foundation that powers Counsel's growth. This is an early-stage, high-impact founding role spanning data wrangling and pipeline development, defining and tracking core operating metrics, and improving reporting and operational workflows across the business.

You'll work directly with our SVP, Finance & Operations and collaborate across Commercial/GTM, Finance, Clinical Ops, and Operations. Instead of owning a small slice of the business, you'll gain broad exposure and take on increasing responsibility as you help build and improve the systems that keep the company running and scaling. This role will have executive level cross functional partnership and requires the ability to connect dots across stakeholders in various organizations.

• Build and maintain the data foundation that will power the entire company.

• Support the data needs of stakeholders across every function at the company. This will range from product metrics, commercial / client reporting, internal financial and operating metrics.

• Build the Operating Scorecard and management dashboards so the entire team can have visibility on business performance and one source of truth.

• Partner with Analytics Engineer to validate pipelines and metric definitions.

• Turn messy datasets into answers people can act on.

• Build and adopt AI-powered tools and workflows that make FinOps faster and efficient.

• Bachelor's degree in a quantitative field (CS, statistics, applied math, or similar), with meaningful programming experience

• 3-5 years in a data, analytics, or finance/ops role

• Strong SQL, and Python or a similar language to be dangerous

• Comfort with data that's messy and real, the kind you dig into instead of flagging as someone else's problem. An inherent desire to be a truth seeker

• Executive presence to represent senior leaders in cross functional discussions

• Genuinely curious about AI tools, and quick to find ways they can cut manual work out of your own workflow

• Experience with dbt, Airflow, Snowflake, or BigQuery

• Experience in healthcare or healthtech

• A track record of ramping quickly into new tools, since many of ours are still being built

• 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

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• 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.

#LI-PINJOB

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