Health Data Analyst

Description

The Health Data Analyst is responsible for collecting, analyzing, and interpreting healthcare data to provide insights that drive data-informed decisions. This role involves working with medical records, clinical data, and operational information to support healthcare providers, insurers, and policymakers.

Key Responsibilities:

1. Data Collection & Management

   • Gather data from Electronic Health Records (EHR), insurance claims, and other healthcare systems.
   • Ensure data integrity, accuracy, and completeness.
   • Maintain and update databases for easy access and reporting.

2. Data Analysis & Interpretation

   • Analyze healthcare data using statistical tools (e.g., Python, R, SQL).
   • Identify trends, patterns, and insights to improve clinical outcomes and operational efficiency.
   • Create dashboards and visualizations for data presentation.

3. Reporting

   • Develop reports for stakeholders, including healthcare providers, administrators, and policymakers.
   • Summarize key metrics such as readmission rates, treatment effectiveness, and patient demographics.

4. Compliance & Security

   • Ensure data handling aligns with HIPAA and other data protection standards.
   • Follow best practices for data privacy and security.

5. Collaboration

   • Work with IT teams, clinicians, and administrators to understand data needs.
   • Support strategic initiatives like cost reduction, patient satisfaction, and quality improvement.

Skills & Qualifications:

• Education: Bachelor’s degree in Health Informatics, Statistics, Data Science, or a related field. A master's degree is preferred.
• Technical Skills: Proficiency in SQL, Python, R, Excel, and data visualization tools (e.g., Tableau, Power BI).
• Healthcare Knowledge: Understanding of medical terminology, ICD coding, and healthcare data structures.
• Analytical Skills: Strong statistical analysis capabilities and critical thinking.
• Communication Skills: Ability to present data insights to non-technical audiences.
• Certifications: Certifications like CHDA (Certified Health Data Analyst) or CPHQ (Certified Professional in Healthcare Quality) are advantageous.

Key Performance Indicators (KPIs):

• Data accuracy and integrity
• Timeliness of reports
• Insights that improve patient outcomes
• Effective collaboration with clinical and administrative teams