Data Analyst - Billing Systems
Sprinter Health
Listing collected from Sprinter Health's career site. NextChapter is independent of Sprinter Health.
Menlo Park, CA · $100k–$120k a year · Posted September 2, 2026
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Where Menlo Park, CA ranks
Where Menlo Park, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #5Best cities for AI-skill jobs in the West Coast32% · of 71
- #6Best cities for financial services pay after cost of living$164k · of 33
- #6Best cities for AI-skill jobs32% · of 100
- #7Best cities for entry-level jobs that want AI skills in the West Coast21% · of 54
- #11Best all-round cities for AI careers in the West Coast75 / 100 · of 39
- #12Best cities for pay after cost of living in California$169k · of 32
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing pays about $110,000 a year. Across 87 open data analyst listings that state pay, the middle half runs $78,000 to $112,500 and the median is $88,000. That is inside the middle half of those listings, 25% above the median.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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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