Health Data Analyst
About The Position
The Health Data Analyst assesses and improves health data quality, performs statistical and clinical analyses, and develops interactive visualizations and reporting tools. Working across clinical data, claims databases, and business operations, the analyst extracts and interprets complex datasets to support Value-Based Care, quality metrics, and executive decision-making. The role supports UHIN’s data-driven initiatives through actionable insights, data governance, and compliance with regulatory standards. The position works with clinical and claims systems and reporting pipelines to validate and clean data, develop dashboards, analyze population and quality-of-care trends, and contribute to predictive risk-scoring and resource-utilization models. It also translates findings into recommendations for clinical and executive stakeholders and produces technical documentation and training materials. The role has no direct reports but may manage projects.
Requirements
- Bachelor’s degree in Healthcare Informatics, Epidemiology, Data Analytics, Statistics, or a related field, or equivalent practical experience.
- Minimum 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.
- Experience 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 business intelligence tools such as Tableau or Power BI.
- Knowledge of HIPAA, CMS regulations, and internal data governance policies, with the ability to maintain confidentiality and security standards.
- Strong written and verbal communication skills to explain technical findings and actionable recommendations to clinical and executive audiences.
- Ability to identify complex problems, perform quantitative and qualitative analyses, and draw data-backed conclusions.
- Strong time management, initiative, prioritization, meeting facilitation, project management, and cross-functional collaboration skills.
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, and external reporting pipelines; coordinate with data contributors to resolve anomalies.
- Design, develop, and maintain interactive business intelligence dashboards to track KPIs such as readmission rates, length of stay, and operational costs.
- Conduct statistical analyses of patient population data 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 data findings into actionable recommendations for clinicians and executive leadership.
- Author technical documentation, report specifications, standard operating procedures, and training materials.
- Maintain adherence to HIPAA, CMS regulations, and internal data governance guidelines across data extraction, storage, and reporting.
- Plan, manage, and facilitate data-related projects, cross-functional team meetings, and member/customer data inquiries.
- Perform other duties as assigned.
Benefits
- Flexible work-life balance with plenty of PTO.
- Medical, dental, life insurance, and 401(k) match.
- Fully stocked break room and weekly employee lunch.
- Fully remote work or hybrid work if located in Utah.
- Monthly reimbursement for data plan.
- Gym discount for employees in Utah.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
