Health Data Analyst

Responsibilities

The Health Data Analyst is responsible for performing advanced statistical analyses, managing complex healthcare datasets, and designing interactive dashboards to support public health initiatives. They will ensure data integrity, maintain regulatory compliance, and translate complex findings into actionable recommendations for leadership.

Requirements

Candidates must possess a bachelor's degree in a relevant field and 2–4 years of experience in healthcare data analysis. Proficiency in SQL, Python, and business intelligence tools is required, along with a strong understanding of healthcare claims and clinical data.

Skills

• SQL
• Python
• Tableau
• Power BI
• Data visualization
• Statistical analysis
• Healthcare informatics
• Epidemiology
• Public health surveillance
• Data governance
• HIPAA compliance
• Predictive analytics
• Machine learning
• Natural language processing
• Data quality assurance
• Stakeholder communication

Benefits

• Flexible work-life balance
• Paid time off
• Medical insurance
• Dental insurance
• Life insurance
• 401k match
• Free employee lunch
• Monthly data plan reimbursement
• Gym discount

About this role

Job Summary

The Health Data Analyst (PHIG) is responsible for assessing and improving health data quality, performing advanced statistical analyses, and designing interactive reporting and visualization tools. Operating at the intersection of public health surveillance, clinical data, and claims databases, this role extracts complex datasets to support chronic disease monitoring, quality metrics, and population health initiatives. The position supports UHIN’s transition toward a data-driven culture by delivering actionable insights, advancing data governance, and maintaining strict regulatory compliance.
Qualifications - Education, Experience and Skills

Required qualifications:
Education & Experience:
Bachelor’s degree in Healthcare Informatics, Epidemiology, Public Health, 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 and public health data.
Demonstrated experience working with both healthcare claims and clinical datasets.
Domain & Analytical Expertise:
Hands-on experience with public health surveillance, chronic disease reporting, and population-level health analytics.
Proven track record assessing health data quality, accuracy, completeness, and timeliness across disparate internal and external systems.
Technical & Software Proficiency:
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 (e.g., Tableau, Power BI).
Skills, Knowledge, and Abilities:
Technical & Data Mastery: Proficiency in writing optimized SQL queries, utilizing Python/R libraries, building BI dashboards, applying statistical and research methods, and analyzing both structured and unstructured quantitative and qualitative data.
Analytical & Critical Thinking: Ability to identify complex problems, weigh pros/cons (cost/benefit), perform quantitative and qualitative analyses, evaluate system performance metrics, and draw logical, data-backed conclusions.
Communication & Stakeholder Engagement: Exceptional verbal and written communication skills to interpret and translate complex data findings into clear, non-technical actionable recommendations for medical directors, clinicians, public health partners, and executive leadership teams.
Data Governance & Security: In-depth knowledge of HIPAA regulations and internal data governance policies, maintaining absolute confidentiality, privacy, and security across all data operations.
Organization & Collaboration: Strong time management, self-initiative, and prioritization skills, with a demonstrated ability to lead meetings, manage projects, and collaborate effectively across teams and external stakeholders.

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

PHYSICAL or MENTAL DEMANDS
The physical demands described here are representatives of those that must be met by an
employee to successfully perform the essential functions of this job. Reasonable
accommodations may be made to enable individuals with disabilities to perform the essential
functions.
While performing the duties of this Job, the employee is regularly required to sit; use hands to finger, handle, or feel and reach with hands and arms and lift up to 40lbs.
Frequently required to talk or hear. Specific vision abilities required by this job include ability to adjust focus at a computer for extended periods of time.
Physical activities include walking, talking, hearing, and manual dexterity for using tools or controls.
Visual acuity requirements include near and far vision, peripheral vision, depth perception, and focus adjustment.
The employee must be able to mentally delve into complex issues and track multiple tasks and due dates in an organized fashion.
WORK ENVIRONMENT
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The noise level in the work environment is usually moderate to quiet. This position involves being in an inside onsite or remote office and working in an individual cubicle/home office in a professional work environment.

Job Responsibilities & Duties
Data Extraction & Manipulation: Write advanced, optimized SQL queries to aggregate and manipulate massive health data distributions from disparate internal and external clinical systems and claims databases.
Data Integrity & Quality Assurance: Validate data integrity and perform rigorous quality assurance and data cleaning across health records, public health registries, and insurance claims databases to ensure accuracy for end users in the CHIE portal and for external reporting. Coordinate with data contributors to resolve data quality anomalies.
Dashboarding & Visualizations: Design, develop, and maintain interactive business intelligence tools (e.g., Tableau, Power BI) to track key performance indicators, public health metrics, patient readmission rates, length of stay, and operational costs.
Clinical & Public Health Analytics: Conduct statistical analysis on patient and population data to identify chronic disease trends, track quality-of-care metrics, support public health surveillance, and inform hospital/community safety initiatives.
Advanced Analytics & Predictive Modeling: Develop, validate, and maintain statistical algorithms. Collaborate with the Chief Data Offic...

About UHIN

Technology, Information and Internet · 11-50 employees · headquartered in Salt Lake City, UT · founded 1993