Health Data Analyst

About UHIN

Role overview

Required qualifications

• Bachelor’s degree in Healthcare Informatics, Epidemiology, Data Analytics, Statistics, or a related field, or equivalent practical experience.
• At least 2–4 years extracting, analyzing, interpreting, and reporting on complex healthcare data.
• Experience 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 or cost analytics.
• Experience assessing data quality, accuracy, completeness, and timeliness across disparate sources.
• Advanced SQL; Python including visualization and statistical libraries; and hands-on interactive dashboard development using tools such as Tableau or Power BI.

Preferred qualifications

• A master’s degree with specialized healthcare research-methods and statistical-analysis training is preferred.
• Experience with machine learning, predictive analytics, and NLP for unstructured healthcare data is preferred.
• Familiarity with R, JavaScript, Google BigQuery, and healthcare industry data standards is preferred.

Skills and knowledge

• The role calls for optimized SQL, Python or R libraries, BI dashboards, statistical and research methods, and structured and unstructured data analysis.
• It requires analytical problem-solving, quantitative and qualitative analysis, and clear data-backed conclusions.
• Communication includes explaining technical insights and actionable recommendations to medical directors, clinicians, and executive leaders.
• The role requires knowledge of HIPAA, CMS regulations, data governance, confidentiality, and security practices.
• Organization, collaboration, and effective stakeholder engagement are emphasized.

Workplace and travel

• The position has remote and flex-work policies.
• Some travel to Utah and conferences is required.
• The role may regularly encounter PHI and must access only the minimum necessary to complete tasks.

Responsibilities

• Assess and improve health data quality across healthcare data sources.
• Perform advanced statistical and clinical analysis of healthcare data.
• Extract complex datasets from clinical data, claims databases, and business operations.
• Design interactive visualizations, dashboards, and reporting tools.
• Deliver actionable insights supporting value-based care, quality metrics, and executive decision-making.
• Advance data governance and support UHIN’s transition to a data-driven culture.
• Comply with regulatory standards and protect the confidentiality and security of PHI.