Data Analyst

United States·JacksonRemotemid

Data AnalystData

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Data AnalystData

VetsEZ is seeking a Data Analyst for a remote opportunity supporting the implementation and operation of a statewide Health Information Exchange (HIE) and the development of a Health Data Utility (HDU). This role will combine dashboard development, population health analysis, and clinical quality measurement to support HIE and HDU reporting. This opportunity is contingent upon contract award.

This is a remote position. The candidate must reside within the continental US.

Responsibilities

~1 min read

→Develop dashboards, operational reports, and visualizations for program, provider, and payer stakeholders.
→Analyze healthcare utilization, patient cohorts, care gaps, and population health trends.
→Translate HEDIS, MIPS, and clinical quality specifications into analytical and reporting logic.
→Build and validate reporting queries, datasets, and measure calculations against source data.
→Investigate data discrepancies and collaborate with engineering and clinical teams on remediation.
→Document metric definitions, analytical methods, assumptions, and limitations and explain findings to stakeholders.
→Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements

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Bachelor’s degree in data analytics, public health, health informatics, statistics, or a related field.
5+ years of relevant experience, with demonstrated experience across the responsibilities outlined above.
Experience delivering healthcare analytics, business intelligence, and reporting outputs.
Strong SQL, data visualization, and dashboard development skills.
Experience analyzing clinical or payer data for utilization, population health, or care-gap use cases.
Experience interpreting and validating HEDIS, MIPS, or comparable clinical quality measure specifications.
Ability to reconcile data, document analytical logic, and communicate findings to clinical and business audiences.

Power BI, Tableau, or comparable business intelligence platform experience.
Medicaid, managed care, value-based care, or combined clinical and claims data experience.
SAS, R, Python, electronic clinical quality measures, or a relevant healthcare quality credential.

U.S. Citizenship is required.
All selected candidates must successfully complete a background check.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.