Data Analyst (Billing Systems)

• 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
• 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

Benefits

• Free lunch everyday and fully-stocked microkitchens and coffee/tea bar
• Team offsites, game hours, tech talks, and design sprints
• Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid)
• Dental / vision / wellness benefits
• 401k matching
• Unlimited PTO
• Flexible work-from-home policy for work/life balance (4 days in-office, accommodation for occasional WFH days)
• Relocation assistance
• Generous parental leave (4 months for the birthing parent, 3 months for a partner, 100% paid)- Technically curious with a structured, systems-first approach to problem-solving
• 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
• The right candidate brings technical fluency, systems thinking, and a builder mindset focused on clarity and repeatability- 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