Data Analyst
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.
About the job
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
SQL, BigQuery, Python, Google Sheets, Excel, Data Reconciliation, Billing Systems, Ehr Data
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