Senior Healthcare Data Analyst

Salient; United States; On-site; USD 90,000 - 140,000; Full time

Job summary

Salient Health is seeking a Senior Healthcare Data Analyst to help public sector and commercial healthcare clients understand and improve the reliability of their data. You will work with large Medicaid data sets, grow into a subject matter expert, and work alongside a library of specialized AI agents daily, using them and helping build new ones.

You will own data quality work, design anomaly detection, and translate business requirements into technical specs while building dashboards and

Qualifications

• 3–5 years analyzing healthcare data (claims, encounters, eligibility, or provider).
• 3+ years of SQL against a relational database or data warehouse.
• Solid understanding of the claim lifecycle and health plan operations.
• Hands-on use of AI assistants and agentic tools, with judgment to check output.
• Clear communication skills, including translating complex findings for non-technical audiences.
• Self-directed, curious, and collaborative.

Responsibilities

• Own data quality work on large Medicaid data warehouses: profile claims, encounter, and eligibility data, run quality checks, and trace issues to their source.
• Design claim anomaly detection analyses that flag unusual patterns and coding or payment irregularities.
• Write and tune SQL against a relational data warehouse and dimensional models.
• Turn business requirements into technical specifications.
• Build data sets and dashboards in Salient's analytics tools and present them to clients.
• Use, improve, and help build AI agents that capture Medicaid expertise for the team.
• Support clients with progress updates, analytical requests, user testing, and training.

Skills

Healthcare data analysis

SQL

Data quality

AI tool usage

Communication

Collaboration

Education

Bachelor's degree in health informatics, data science, statistics, public health, computer science, or related field

Master's degree preferred

Tools

dbt

Git

Job description

Salient Health is looking for a Senior Healthcare Data Analyst to help public sector and commercial healthcare clients understand and improve the reliability of their data. You'll work with large Medicaid data sets, grow into a subject matter expert, and work alongside a library of specialized AI agents every day, using them, improving them, and helping build new ones.

What you'll do

• Own data quality work on large Medicaid data warehouses: profile claims, encounter, and eligibility data, run quality checks, and trace issues to their source
• Design claim anomaly detection analyses that flag unusual patterns and coding or payment irregularities
• Write and tune SQL against a relational data warehouse and dimensional models
• Turn business requirements into technical specifications
• Build data sets and dashboards in Salient's analytics tools and present them to clients
• Use, improve, and help build AI agents that capture Medicaid expertise for the team
• Support clients with progress updates, analytical requests, user testing, and training

What you bring

• Bachelor's degree in health informatics, data science, statistics, public health, computer science, or a related field (Master's preferred)
• 3-5 years analyzing healthcare data (claims, encounters, eligibility, or provider); Medicaid experience ideal, New York State Medicaid a strong plus
• 3+ years of SQL against a relational database or data warehouse
• Solid understanding of the claim lifecycle and health plan operations
• Hands-on use of AI assistants and agentic tools, with the judgment to check their output
• Clear communication skills, including translating complex findings for non-technical audiences
• Self-directed, curious, and collaborative

Nice to have: Python or R, dbt, Git, payment integrity/FWA knowledge, Medicaid rate setting or capitation experience.