Design and maintain billing systems that transform patient engagement data into accurate, auditable invoice outputs using SQL, Python, and transformation workflows. Requires 3+ years in data operations/analytics within finance or healthcare systems, plus strong SQL and scripting skills.
100k – 120k
Hybrid3+ YOEData Analytics
About the role
Responsibilities
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
Requirements
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
Benefits
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
Skills
SQLBigQueryPythonGoogle SheetsExcelData ReconciliationBilling SystemsEhr Data
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