Senior Data Analyst

5+ years of relevant experience in data analysis or a related quantitative role. Strong fluency in SQL and comfort working with large, complex datasets. Advanced experience building dashboards and visualizations using tools such as Tableau and Mode. Experience with (or strong interest in learning) programming and statistical analysis using tools like Python or R. Experience working with healthcare data (e.g., claims, eligibility, utilization, clinical, or benefits data) is a plus. Experience with version-controlled data transformation using tools like dbt, Git, and Amazon Redshift. Use AI-native development tools (like Cursor and dbt Copilot) to accelerate modeling workflows. Strong attention to detail and ability to communicate insights clearly. Comfortable partnering cross-functionally in a fast-moving startup environment. Bring a builder's mindset, enjoying both improving existing tools and designing new frameworks.

Analyze revenue, pricing, claims, eligibility, clinical, product, and operational data to identify trends and cost drivers. Support actuarial and underwriting decisions through analysis and reporting. Evaluate the impact of care programs and benefit designs. Partner with stakeholders on strategic initiatives. Write production-quality SQL and analytical code, document assumptions. Build and maintain dashboards and recurring reports. Ensure metric accuracy and consistency, surface data quality issues. Communicate findings through visualizations, summaries, and presentations. Collaborate with Product/Engineering on data modeling and pipelines. Contribute to data governance and documentation. Handle sensitive healthcare data securely and compliantly.