Health Data Analyst

UHIN • Remote (UT, US), UT

18d • $72,000 - $85,000 • Hybrid

About The Position

The Health Data Analyst assesses and improves health data quality, conducts advanced statistical and clinical analysis, and designs interactive visualizations and reporting tools. Working across clinical data, claims databases, and business operations, the analyst extracts complex datasets to support Value-Based Care, quality metrics, and executive decision-making. The role supports UHIN’s data-driven culture by delivering actionable insights, advancing data governance, and maintaining compliance with regulatory standards.

The analyst extracts, validates, cleans, analyzes, and reports on health records and claims data from disparate systems. The position develops and maintains BI dashboards, conducts clinical and population analyses, and supports predictive risk-scoring and resource-utilization models. It also translates findings for clinical and executive audiences, creates technical documentation and training materials, and manages data-related projects and stakeholder inquiries. There are no direct reports, though the position may manage projects.

Requirements

• Bachelor’s degree in Healthcare Informatics, Epidemiology, Data Analytics, Statistics, or a related field, or equivalent practical experience.
• 2–4 years of experience extracting, analyzing, interpreting, and reporting on complex healthcare data.
• Demonstrated experience working with healthcare claims and clinical data distributions.
• Experience with risk stratification models, such as CMS HCC; quality metrics, such as HEDIS, MIPS, and CMS Star Ratings; and utilization/cost analytics, such as total cost of care, readmission rates, and length of stay.
• Track record assessing health data quality, accuracy, completeness, and timeliness across disparate data sources.
• Advanced SQL query development for complex data extraction, aggregation, and manipulation.
• Experience with Python, including data visualization and statistical libraries.
• Hands-on experience developing interactive dashboards using BI tools such as Tableau or Power BI.
• Proficiency in optimized SQL, Python/R libraries, BI dashboards, statistical and research methods, and structured and unstructured datasets.
• Ability to identify complex problems, weigh costs and benefits, conduct quantitative and qualitative analyses, and draw logical, data-backed conclusions.
• Strong verbal and written communication skills to explain technical insights and actionable recommendations to medical directors, clinicians, and executive leadership.
• In-depth knowledge of HIPAA, CMS regulations, and internal data governance policies, and ability to maintain confidentiality and security standards.
• Strong time management, initiative, and prioritization skills; ability to lead meetings, manage projects, and collaborate across teams.

Nice To Haves

• Master’s degree with specialized training in healthcare research methods and statistical analysis, such as Informatics or Epidemiology.
• Experience with machine learning algorithms, predictive analytics, and Natural Language Processing for unstructured healthcare data.
• Familiarity with R, JavaScript, Google BigQuery, and healthcare industry data standards.

Responsibilities

• Write advanced, optimized SQL queries to extract, aggregate, and manipulate large health datasets from internal and external clinical and claims systems.
• Validate data integrity and perform quality assurance and data cleaning across health records, claims databases, internal systems, the CHIE portal, and external reporting pipelines; coordinate with data contributors to resolve anomalies.
• Design, develop, and maintain interactive BI tools and dashboards, such as Tableau and Power BI, to track KPIs including readmission rates, length of stay, and operational costs.
• Conduct statistical analyses of patient populations to identify trends, track quality-of-care metrics, evaluate Value-Based Care initiatives, and support hospital safety programs.
• Develop, validate, and maintain statistical algorithms; collaborate with the Chief Data Officer to identify data requirements and provide clean datasets for predictive risk-scoring and resource-utilization models.
• Translate complex findings into clear, actionable recommendations for clinicians and executive leadership.
• Author technical documentation, report specifications, standard operating procedures, and training materials.
• Comply with HIPAA, CMS regulations, and internal data governance guidelines across data extraction, storage, and reporting.
• Plan, manage, and facilitate data-related projects and cross-functional meetings, and respond to member and customer data inquiries.
• Perform other duties as assigned.

Benefits

• Flexible work-life balance and plenty of PTO.
• Medical, dental, and life insurance, and 401(k) match.
• Fully stocked break room and free weekly employee lunch.
• Fully remote or hybrid work option for employees in Utah; hybrid schedule includes onsite collaboration Mondays and Tuesdays, with remote work otherwise.
• Monthly reimbursement for data plan.
• Employee gym discount.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level