Health Data Analyst

UHIN • Remote (UT, US), UT

17d • $72,000 - $85,000 • Hybrid

About The Position

The Health Data Analyst assesses and improves health data quality, performs advanced statistical analyses, and designs interactive reporting and visualization tools. Working with public health surveillance, clinical data, and claims databases, the analyst extracts complex datasets to support chronic disease monitoring, quality metrics, and population health initiatives. The role supports UHIN’s transition toward a data-driven culture by delivering actionable insights, advancing data governance, and maintaining regulatory compliance.

The position involves extracting, validating, cleaning, analyzing, and reporting on health data from disparate internal and external systems. It also includes building dashboards, conducting clinical and public health analyses, supporting predictive modeling, translating findings for stakeholders, and managing data-related projects. There are no direct reports, though the role may manage projects.

Requirements

• Bachelor’s degree in Healthcare Informatics, Epidemiology, Public Health, Data Analytics, Statistics, or a related field, or equivalent practical experience.
• At least 2–4 years of experience extracting, analyzing, interpreting, and reporting on complex healthcare and public health data.
• Demonstrated experience working with both healthcare claims and clinical datasets.
• Hands-on experience with public health surveillance, chronic disease reporting, and population-level health analytics.
• Experience assessing health data quality, accuracy, completeness, and timeliness across disparate internal and external systems.
• Advanced SQL query development for complex data extraction, aggregation, and manipulation.
• Experience with Python, including data visualization and statistical libraries.
• Experience designing, developing, and maintaining interactive dashboards using business intelligence tools such as Tableau or Power BI.
• Proficiency with SQL, Python/R libraries, BI dashboards, statistical and research methods, and analysis of structured and unstructured quantitative and qualitative data.
• Ability to identify complex problems, assess costs and benefits, perform quantitative and qualitative analyses, evaluate system performance metrics, and draw data-backed conclusions.
• Strong verbal and written communication skills, including the ability to explain complex findings as non-technical, actionable recommendations to diverse stakeholders.
• In-depth knowledge of HIPAA regulations and internal data governance policies, with the ability to maintain confidentiality, privacy, and security.
• Strong time management, initiative, prioritization, meeting leadership, project management, and cross-team and stakeholder collaboration skills.

Nice To Haves

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

Responsibilities

• Write advanced, optimized SQL queries to aggregate and manipulate health data from disparate clinical systems and claims databases.
• Validate data integrity and perform quality assurance and data cleaning across health records, public health registries, and insurance claims databases; coordinate with data contributors to resolve anomalies.
• Design, develop, and maintain interactive business intelligence tools, such as Tableau or Power BI dashboards, to track performance indicators, public health metrics, readmission rates, length of stay, and operational costs.
• Conduct statistical analyses of patient and population data to identify chronic disease trends, track quality-of-care metrics, support public health surveillance, and inform hospital and community safety initiatives.
• 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 medical directors, clinicians, public health officials, and executive leadership.
• Author research reports, technical specifications, process documentation, and training materials.
• Maintain adherence to HIPAA, CMS regulations, and internal data governance policies across data extraction, storage, and reporting.
• Plan, manage, and facilitate data-related projects, survey design studies, cross-functional meetings, and member/customer data inquiries.
• Perform other duties as assigned.

Benefits

• Flexible work-life balance with plenty of PTO.
• Benefits package including medical, dental, life insurance, and 401(k) match.
• Fully stocked break room and weekly employee lunch at no charge.
• Fully remote or hybrid work arrangement; hybrid employees work onsite Mondays and Tuesdays and remotely otherwise.
• Monthly reimbursement for data plan.
• Gym discount.
• Company culture recognized with Top Benefits and Top Workplace ratings.

What This Job Offers

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