Data Analyst - Billing Systems

About Sprinter Health:

At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year.

By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators are backed by investors like a16z, General Catalyst, GV, and Accel.

About The Role

You’ll design and maintain the systems that translate patient engagement data into structured, partner-trusted billing outputs. This includes ingesting data from internal and external clinical sources, applying billing logic in a codified, auditable way, and producing files that meet downstream requirements with consistency.

You’ll sit within the Finance team and work cross-functionally with Sales, Engineering, and Product to ensure billing runs reliably and scales cleanly as the business grows. The right candidate brings technical fluency, systems thinking, and a builder mindset focused on clarity and repeatability.

Hybrid & Office Experience

We operate on a hybrid schedule, working from the office Monday through Thursday, with Fridays designated as work-from-anywhere days.

We care deeply about work-life balance and are happy to provide flexibility when life happens. We ask that employees be in the office Monday through Thursday to collaborate with their teams while maintaining flexibility where it matters most.

Lunch is provided every day, and the entire team takes an hour to eat together. It's one of the ways we stay connected outside of meetings. You'll usually find us playing a board game before getting back to work.

What you will do

• Reconcile patient engagement data across internal and external clinical sources (e.g., EHR and labs data) on a monthly basis

• Codify billing logic in SQL (BigQuery) and develop transformation workflows that are auditable and scalable

• Use Python or Google Sheets scripting to clean inputs and automate recurring tasks

• Generate structured, version-controlled invoice files that are partner-trusted and accurate

• Identify data mismatches, gaps, or edge cases — and implement long-term fixes

• Document workflows to ensure clarity, continuity, and cross-team alignment

• Collaborate across Finance, Sales, Engineering, and Product to improve upstream inputs and process design
  

What you have done

• Bachelor’s degree in Health Informatics, Data Science, Business, Information Systems or a related field

• 3-5 years of experience in data operations, analytics, or financial systems

• Advanced working knowledge of SQL and ability to manage complex logic in Excel/Google Sheets

• Comfortable writing or modifying Python scripts for data cleanup and file generation

• Technically curious with a structured, systems-first approach to problem-solving

The Interview Process:

• We aim to complete the interview process between 2-3 weeks. It will usually consist of:

• Recruiter Screen (30-Minutes)

• Hiring Manager Introduction (30-Minutes)

• Onsite Interview

• References

What We Offer

• Meaningful pre-IPO equity

• Medical, dental, and vision plans 100% paid for you and your dependents

• Flexible PTO + 10 paid holidays per year

• 401(k) with match

• 16-week parental leave policy for birthing parent, 8 weeks for all other parents

• HSA + FSA contributions

• Life insurance, plus short and long-term disability coverage

• Free daily lunch in-office

• Annual learning stipend

Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.

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