HEALTHCARE DATA ANALYST

This position develops and maintains reports, dashboards, scorecards, and performance metrics; analyzes organizational data; ensures data accuracy and integrity; and provides actionable insights to executive leadership, physicians, department leaders, quality, finance, revenue cycle, clinical teams, and other stakeholders.

• Expected pay for this position is $29.84-$44.75. Actual pay will be determined by experience, skills and internal equity.
• MDH Benefits package includes:
• Medical, Dental, Vision
• 457B and employer match
• Company paid STD and LTD
• Job Summary
• The Healthcare Data Analyst serves as an enterprise reporting and analytics resource, transforming healthcare data into meaningful information that supports strategic, operational, financial, clinical, quality, and regulatory decision-making.
  

The Healthcare Data Analyst will also promote standardized reporting practices, automation, documentation, and continuous improvement while supporting the long-term sustainability of the organization's reporting and decision-support processes.

Bachelor's degree required in Data Analytics, Business Analytics, Computer Science, Information Systems, Healthcare Administration, Health Information Management, Statistics, Mathematics, Finance, Accounting, Public Health, or a related field. Master's degree preferred.

• Job Specifications
• Education
  
  

Experience

Three years of progressively responsible experience preferred in healthcare analytics, business intelligence, decision support, data analysis, financial analysis, quality reporting, or healthcare operations. Hospital experience strongly preferred.

Technical Knowledge & Skills

• Advanced Microsoft Excel
• SQL and database concepts
• Data analysis, statistical analysis, forecasting, and benchmarking
• Data visualization and dashboard development
• Microsoft Power BI preferred
• Crystal Reports, SSRS, or equivalent reporting tools preferred
• Microsoft Office Suite
• Electronic Health Record reporting systems
  
  

Professional Skills

• Strong analytical and critical-thinking abilities
• Excellent written and verbal communication
• Ability to translate complex data into clear information for non-technical audiences
• Strong attention to detail and commitment to data accuracy
• Effective organization, prioritization, and problem-solving skills
• Ability to manage multiple projects and competing priorities
• Strong customer-service and collaboration skills
• Ability to maintain confidentiality
  
  

Preferred Qualifications

• Experience with Cerner or other EHR reporting tools
• Experience with healthcare financial and revenue cycle reporting
• Knowledge of CMS and healthcare quality measures
• Experience developing dashboards and executive scorecards
• Experience with healthcare benchmarking databases
• Experience with healthcare budgeting, productivity, and operational analytics
  
  

Perinatal / Maternal Health – Preferred Bonus

Experience supporting perinatal, maternal, and neonatal health initiatives is highly preferred, particularly experience supporting public health grants or HRSA-funded programs.

The successful candidate will provide data support for the MDH MOMCare grant, including:

• Managing and analyzing maternal and neonatal health data.
• Supporting data collection, reporting, and grant compliance requirements.
• Measuring program outcomes and developing reports to inform maternal health initiatives in rural communities.
• Supporting quality measures, program evaluation, and evidence-based decision-making.
• Collaborating with clinical and community partners on maternal health data needs.
  
  

Preferred perinatal experience includes Obstetrics, maternal/neonatal health, public health grants, HRSA-funded programs, quality measures, database analysis, programming, or grant administration.

Experience with data analysis tools such as Excel, SPSS, SAS, R, Tableau, or Power BI is beneficial.

Performance Expectations

The Healthcare Data Analyst will:

• Deliver accurate, timely, and reliable reporting.
• Provide actionable analytics that support organizational decision-making.
• Improve reporting efficiency through standardization and automation.
• Maintain high standards of data integrity and validation.
• Develop dashboards and reports that promote organizational transparency.
• Support regulatory, quality, financial, clinical, and operational reporting needs.
• Maintain clear documentation to ensure continuity of reporting processes.
• Provide excellent service to hospital departments and leadership.
• Maintain current knowledge of healthcare analytics, reporting technologies, and regulatory requirements.