Growth Analyst, Market Intelligence

recoursehealth.com•San Francisco, CA

About The Position

Every dispute filed in the country is public record. Almost nobody reads it. You will. A federal arbitration system called Independent Dispute Resolution, or IDR, now determines billions of dollars in healthcare payments each year. Providers win the vast majority of disputes, yet most eligible claims are never filed. The process is manual, fragmented, and resource-intensive, and most providers don't have the infrastructure to pursue what they're owed. The No Surprises Act created the framework, and the market already exists. Today it runs on spreadsheets, consultants, and static playbooks. We're building the first intelligent system designed to operate inside it. CMS publishes the outcome of every federal dispute. Who filed, against whom, for what, and who won. It arrives as enormous, badly structured public use files that almost nobody in the industry actually mines. That data tells you which providers are under-filing, which competitors are growing, which payers lose most often, and where the market is heading. This role turns that raw material into an advantage. The data is public but it isn't easy. The files are large, inconsistently formatted, and change shape between releases. Entity names don't reconcile cleanly. Getting from raw file to a defensible statement about a specific health system takes real work. Then there's the interpretation problem. A provider filing very few disputes might be leaving millions on the table, or might have almost no out-of-network volume. Knowing the difference requires understanding the domain, not just the dataset. Do it well and you produce things nobody else in this market has: a ranked list of who should be our next customer and why, a live picture of how competitors are performing, and an early read on where regulatory change is pushing volume.

Requirements

2+ years in analytics, data science, strategy, consulting, investment banking, or a similarly quantitative early career
Strong SQL and spreadsheet skills. Python or R is a plus
Demonstrated ability to work with large, messy public datasets and produce something trustworthy
Hands-on fluency with AI tooling. You've used it to ship or accelerate real analytical work, not just tried the demos
Clear written communication. You can turn a complex analysis into a page a busy executive will read
A preference for small teams and early-stage chaos over mature org charts
Sound judgment, analytical rigor, and ownership mindset are required.
Grit matters more than pedigree.

Nice To Haves

Healthcare data experience, or familiarity with claims, revenue cycle, the No Surprises Act, or CMS data specifically.

Responsibilities

Build and maintain our model of the market from CMS public use files and other public sources
Size the opportunity for individual prospects. What is this health system under-filing, and what is it costing them
Produce the prospect analysis that our partnerships team leads with in first conversations
Track competitors: who is filing, how much, how well they're doing, and what that tells us
Monitor regulatory and market shifts and flag what they mean for our strategy before they're obvious
Build the tooling that makes this repeatable rather than a manual exercise every quarter
Turn analysis into things people can use. Briefs, one-pagers, and models that change decisions

Benefits

Institutional backing
Shared platform team spanning engineering, strategy, design, and back-office
Early access to large provider systems
Funded, validated opportunity with real customers and real data
Small, nimble team
Move quickly
Value clarity over theater
Best work of your career
Stretch you look back on as the one where you shipped real things, with people who raised your game, on something that mattered
Clear thinking
High ownership
Intellectual honesty
Direct communication
Operations, product, and engineering should operate as one pod, not three functions
Machines do machine work, and humans do their best work
Learning a domain that's growing fast and where genuine expertise is scarce
Two years of doing this well makes you one of a small number of people who really understand where the money moves in this market
Most memorable stretch of your early career, where you shipped something real, with a team you respected, in a domain that actually matters
Apply even if you don't fit 100% of these requirements.
Equal opportunity employer
Do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
Best teams are built from people with different backgrounds and perspectives
Commitment to creating an environment where everyone can do their best work.