Data Analyst -Remote
$100,000–$120,000 year
RemoteUnited States
Job Summary
Design, build, and maintain curated data sources, dashboards, and reports that drive operational decision-making. Develop and optimize SQL against the cloud environment while writing Python-based reporting pipelines for recurring operational, compliance, and quality deliverables. Produce clear documentation for all assets and train users on how to interpret the data. Manage a prioritized backlog of enhancement requests, re-prioritizing as business needs shift. Partner with product, operations, clinical, finance, and program leadership to turn their questions into decision-grade analytics. Own each product end-to-end, from requirements through building, documentation, training, and ongoing enhancement.
Required Qualifications
- Bachelor's degree in quantitative discipline, or a degree plus equivalent real-world experience as a data analyst
- 3+ years in data analytics roles, with a demonstrated ability to drive complex work to decision and resolution
- Strong SQL skills — you can articulate what you need, build a sustainable model, and optimize performance
- Advanced dashboarding/BI skills
- Proficiency with Python for data work (pandas and related libraries) and report automation
- Strong, audience-aware written and verbal communication, with the ability to work in a self-directed environment on a lean team
- Laser focuses on results: getting things done on time with high quality
- Travel Requirement: 0–10%
Desired Qualifications
- Healthcare analytics experience, especially Medicaid and California CalAIM; EMR or care management system reporting
- Familiarity with dimensional/Kimball data modeling and the bronze/silver/gold (medallion) pattern
- Azure (SQL, cloud data services); exposure to Databricks a plus
- Familiarity with Salesforce / Health Cloud as a data source
- Comfort using AI coding assistants (e.g., Claude Code, Copilot, Cursor) to accelerate development — with the judgment to validate and hone generated output
- Customer-facing experience in an analytics role
- Tableau strongly preferred (experience with product-embedded dashboards a plus)
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