Senior Data Analyst

About This Role

The Senior Data Analyst will play a critical role on the Actuarial, Underwriting, and Data Team, transforming complex healthcare data into actionable insights to inform business decisions across various departments. This individual will analyze data to identify trends, cost drivers, and opportunities within Sana's health plans and care model. They will also build and maintain core reporting dashboards and evaluate the impact of care and benefit design changes.

Responsibilities

• Analyze revenue, pricing, claims, eligibility, clinical, product, and operational data to identify trends, cost drivers, risks, and opportunities across Sana’s health plans and care model
• Support actuarial and underwriting decisions through exploratory analysis, reporting, and ongoing performance monitoring
• Evaluate the impact of various care programs, benefit designs, and operational initiatives on cost, utilization, and member experience
• Serve as a trusted thought partner to stakeholders across Revenue, Finance, Care Team, Operations, and Product on strategic initiatives and ambiguous problems
• Write production-quality SQL and analytical code; validate results, document assumptions, and ensure analyses are reproducible and trustworthy
• Build and maintain dashboards and recurring reports used by leaders across the organization
• Ensure metrics are accurate, consistent, and aligned with shared definitions; proactively surface data quality issues and anomalies
• Communicate findings clearly through data visualizations, written summaries, and presentations tailored to non-technical audiences
• Collaborate with the Product/Engineering team on data modeling, pipeline improvements, and analytics standards
• Contribute to data governance, documentation, and data literacy efforts across the company
• Handle sensitive healthcare data thoughtfully, securely, and in compliance with applicable regulations

Requirements

• 5+ years of relevant experience in data analysis, analytics, or a related quantitative role
• Strong fluency in SQL and comfort working directly with large, complex datasets
• Advanced experience building clear, trustworthy dashboards and visualizations using tools such as Tableau and Mode
• Experience with version-controlled data transformation using tools like dbt, Git, and Amazon Redshift

Qualifications

• 5+ years of relevant experience in data analysis, analytics, or a related quantitative role

Nice to Have

• 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)

Skills

* Required skills

Benefits