Data Operations Analyst (Finance)

TL;DR

Data Operations Analyst (Finance): Designing and maintaining systems that translate patient engagement data into structured, partner-trusted billing outputs with an accent on SQL-based logic and data transformation workflows. Focus on reconciling clinical data sources, automating recurring tasks, and collaborating cross-functionally to ensure billing scalability.

Location: Must be based in the Bay Area (Menlo Park/San Francisco) for hybrid work

Salary: $100,000 – $120,000

Company

A healthcare technology company reimagining patient care access by delivering services directly to homes, backed by leading venture capital firms.

What you will do

• Reconcile patient engagement data across internal and external clinical sources monthly.
• Codify billing logic in SQL (BigQuery) and develop auditable transformation workflows.
• Use Python or Google Sheets scripting to clean inputs and automate recurring tasks.
• Generate structured, version-controlled invoice files for partners.
• Identify data mismatches and implement long-term fixes.
• Collaborate with Finance, Sales, Engineering, and Product teams to improve process design.

Requirements

• Bachelor’s degree in Health Informatics, Data Science, Business, or Information Systems.
• 3-5 years of experience in data operations, analytics, or financial systems.
• Advanced working knowledge of SQL and complex logic in Excel/Google Sheets.
• Experience writing or modifying Python scripts for data cleanup.
• Structured, systems-first approach to problem-solving.

Culture & Benefits

• Meaningful pre-IPO equity.
• Medical, dental, and vision plans 100% paid for employees and dependents.
• 401(k) with match and HSA/FSA contributions.
• Flexible PTO plus 10 paid holidays.
• 16-week parental leave for birthing parents and 8 weeks for others.
• Annual learning stipend and free daily lunch in-office.

Hiring process

• Recruiter screen (30 minutes).
• Hiring manager introduction (30 minutes).
• Onsite interview.
• References.