Healthcare Data Analyst (United States)

Healthcare Data Analyst

Annual salary- $65,000-$85,000

Salient Health is seeking a Healthcare Data Analyst to join our growing analytics team. This is an excellent opportunity for a detail-oriented professional with a background in healthcare reporting, operations, administration, or business intelligence who is eager to grow their career in a collaborative, mission-driven environment. The ideal candidate is comfortable working with large, complex datasets and communicating analytical findings clearly to a wide range of audiences. We value both independent contributors and strong team players. Self-direction, strong problem solving and professional communication are a must.

Primary Duties & Responsibilities

• Gather and document business requirements for analytical and reporting requests.
• Plan and execute data analyses.
• Interpret data, identify trends, outliers etc., and develop data stories from the results.
• Present findings to stakeholders through summarized data and visualizations.
• Build reporting templates and maintain data documentation (data dictionaries, About the Data documents) covering data definitions and nuances.
• Assist in translating client data requirements into new implementations and system enhancements, contributing alongside cross-functional teams to design, develop, test, and deliver.
• Support clients on analytical requests, data navigation, and user training.
• Drive continuous improvement of processes, quality, and documentation, and carry out other duties as assigned.

Education & Experience

• B.S. in healthcare claims data/analysis, health informatics, health administration, public health, epidemiology, statistics, or related field. Master’s degree preferred, or an equivalent combination of education and experience.
• 2-4 years of professional data analysis experience with Medicaid, Medicare, or private insurance data.
• Business analysis experience in requirements gathering for data and reporting projects.

Domain Knowledge

• Healthcare industry fundamentals: payer/provider landscape and plan types (Medicare, Medicaid, Managed Care, Commercial).
• Working knowledge of health plan operations: claims processing, membership and enrollment, provider, and benefits.
• Familiarity with medical claims data and the claim lifecycle, including basic adjudication and 837/835 concepts (NYS Medicaid experience a plus).
• Exposure to health data formats such as enrollment, services, lab, and pharmacy.
• Awareness of utilization management, care coordination, quality improvement programs, and population health.

Technical & Analytical Skills

• SQL: 2-4 years writing and troubleshooting queries against claims and operational data.
• Advanced Excel (pivot tables, lookups) and proficiency across the Microsoft Office Suite.
• Data visualization and BI tools: building dashboards and summarized views, or a demonstrated ability to learn them quickly.
• Trend detection and root-cause analysis; able to complete defined ad hoc analyses with guidance on scope.
• Requirements gathering, process mapping, and clear documentation (business requirements, SOPs, analysis write-ups).
• Attention to data quality, integrity, and consistency, with exposure to data governance practices.

Communication & Presentation Skills

• Professional verbal and written communication with clients, colleagues, and senior stakeholders.
• Confident presentation delivery to groups, live or via video, with polished and audience-appropriate materials.
• Translating complex data findings into plain-language business recommendations for non-technical audiences.
• Building and delivering client-facing reports, learning guides, and training materials.
• Stakeholder engagement: participating in client working sessions and iterative analytical processes, with the ability to grow into lead role.
• Client-facing experience preferred, including supporting escalations through to resolution.

Problem Solving & Collaboration

• Demonstrated problem solving: breaks ambiguous questions into testable steps and works them through to resolution.
• Proven success working independently — self-directed, proactive, and accountable for deliverables without close supervision.
• Proven success within a team — collaborates across analytics, operations, and client-facing groups on shared deliverables.
• Intellectually curious: wants to understand why the data says what it says, not just report it.
• Strong prioritization and time management in a fast-paced environment with competing priorities.
• Resilient and adaptable, with eagerness to develop deep expertise in Salient Health’s solutions.