Build and Own the Analytics Products
Design, build, and maintain the curated data sources, dashboards, and reports that drive operational decision-making across our programs.
Own each product end to end — from requirements through building, documentation, training, and ongoing enhancement.
Write the SQL and Shape the Data Model
Develop, optimize, and maintain SQL against our cloud data environment.
Partner with data engineering to expose the data you need, and contribute to a sustainable, well-structured analytical layer.
Articulate data requirements clearly and build for performance and reuse.
Automate Recurring Reporting
Build and maintain Python-based reporting pipelines for recurring operational, compliance, and quality deliverables.
Validate rigorously — reconcile numbers to source, QA before release, and stand behind the figures you publish.
Document, Train, and Maintain
Produce clear documentation for the data sources and dashboards you build.
Train and enable the people who use them.
Maintain a prioritized backlog of enhancement requests and re-prioritize as the business needs shift.

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; Tableau strongly preferred (experience with product-embedded dashboards a plus).
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.
Preferred 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.

Competitive salary and benefits
Remote-first work environment
High-impact role
The opportunity to build meaningful analytics products at a mission-driven healthcare company

Data Analyst

Key skills