обновлено 35 минут назад
Data Operations Analyst (Finance)
100 000 - 120 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Operations Analyst (Finance): Designing and maintaining systems to translate patient engagement data into structured billing outputs with an accent on SQL-based logic and workflow automation. Focus on reconciling clinical data sources, ensuring billing accuracy, and collaborating cross-functionally to scale financial operations.
Company
is a healthcare startup reimagining home-based care by delivering clinical services directly to patients, backed by top-tier investors like a16z and General Catalyst.
Location: Must be based in or able to commute to Menlo Park, CA (Hybrid: Mon-Thu in-office).
Salary: $100,000 – $120,000 base + equity.
What you will do
- Reconcile patient engagement data across internal and external clinical sources on a monthly basis.
- Codify billing logic in SQL (BigQuery) and develop auditable, scalable 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 technical fixes.
- Collaborate with Finance, Sales, Engineering, and Product teams to improve process design.
Requirements
- Bachelor’s degree in Health Informatics, Data Science, Business, or a related field.
- 3-5 years of experience in data operations, analytics, or financial systems.
- Advanced working knowledge of SQL and complex logic in Excel/Google Sheets.
- Proficiency in writing or modifying Python scripts for data cleanup.
- Structured, systems-first approach to problem-solving.
Culture & Benefits
- Meaningful pre-IPO equity.
- 100% employer-paid medical, dental, and vision plans for employees and dependents.
- 401(k) with company match.
- Flexible PTO plus 10 paid holidays and parental leave.
- HSA and FSA contributions.
- Free daily lunch provided in-office.
- Annual learning stipend.
Hiring process
- Recruiter screen (30 minutes).
- Hiring manager introduction (30 minutes).
- Onsite interview.
- Reference checks.
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