The short version 

Healthcare revenue cycle management runs on numbers — AR days, denial rates, collection yield — and most of the industry still assembles them by hand, in spreadsheets, a month late. We’re a profitable, established RCM company building our technology platform from line zero, and analytics is a first-class part of it, not an afterthought bolted on later. You’d be the founding BI hire: the person who decides how this company defines, models, and presents its numbers. 

Your work has two audiences from day one. Our own revenue cycle teams, who will run their operation on what you build. And the healthcare providers we serve, who will judge us partly on the clarity of the reporting we put in front of them. 

Why this role exists 

Most BI roles inherit a semantic layer someone else modeled, metric definitions nobody agrees on, and a backlog of dashboard requests. This one inherits nothing — there’s a modern lakehouse going in (Databricks and Microsoft Fabric) and a founding engineering team building alongside you. You’ll own everything north of the gold layer: the semantic models, the metric definitions, and every report a human sees. How far you reach into the gold layer itself depends on you — at minimum you’ll shape it as its most important customer; if you have the data engineering chops to own parts of it, that scope is yours to take. 

What you’ll do 

• Own the semantic layer end to end — Power BI models on Databricks and Fabric, built for performance, maintainability, and trust 
• Define the company’s metrics: one shared definition of AR days, denial rate, net collection rate, and the rest, so every team and every client sees the same truth 
• Build the provider-facing reporting our clients rely on — visually engaging, intuitive, fast, and credible enough to anchor a business review. Information design is part of the craft here. 
• Build the internal analytics our revenue cycle teams use to run their daily operation and to measure whether our automation is actually working 
• Establish our first data-analyst agents — automated analysis that monitors the data continuously, surfaces trends and anomalies, and drafts the first pass of insight before anyone thinks to ask.  
• Shape the gold layer as its primary consumer — and take ownership of transformations if that’s in your toolkit 
• Set the BI standards, patterns, and review practices the function scales on as we grow 
• Sit with users on both sides — ops teams and client-facing leaders — and work problems, not ticket queues 

How we work 

This team is being built AI-native from day one: 

• We work problems, not tickets. You’ll sit close to the people who use your work, watch how they actually operate, and reason from first principles about what to build.  
• AI tools are part of the craft. You should already be using AI daily to write DAX, SQL, and documentation faster — and be excited to help define what an AI data analyst looks like here. 
• You own what ships. Numbers that reach a client or drive an operational decision are correct, tested, and explainable. Speed matters; trust matters more. 

The stack: Power BI on Databricks and Microsoft Fabric, with SQL throughout and Python where it helps. Azure underneath. 

Who you are 

Must-haves: 

• 8+ years in BI/analytics with deep Power BI expertise — DAX, semantic modeling 
• Healthcare claims and payer data experience — you’ve worked with 835/837 transactions or adjacent claims data  
• Strong SQL and real experience working against a lakehouse or modern warehouse (Databricks, Fabric, Snowflake, or similar) 
• A track record of building reporting that external clients or executives actually relied on — not just internal dashboards 

Nice-to-haves: 

• Revenue cycle operations depth — denial management, AR follow-up, payer behavior. You know what a CARC code is without looking it up 
• Gold-layer or transformation ownership (PySpark, dbt, Delta Live Tables, or Fabric dataflows) 
• Fabric-specific depth — Direct Lake, OneLake, deployment pipelines 
• Experience standing up a BI function or being the first analytics hire somewhere 

Compensation & benefits 

Base salary of $120,000–$225,000 — the range is wide because the scope is flexible: we’ll hire at lead or principal level depending on how much of the stack you can own, plus bonus. Annuity Health offers its employees excellent benefits including: Health, Dental, Vision, HSA and FSA Accounts, Voluntary Insurance, Paid Holidays, PTO, and 401(k).

How to apply 

Apply with a link to your work or a few sentences about a reporting product you built that people genuinely relied on — what it measured, who used it, and why they trusted it.