Data Analytics Specialist

MEAHCO - Saudi German Health

Key Responsibilities:

• Data Analysis and Reporting:
  
  • Analyze healthcare data (e.g., claims, EHRs, patient outcomes) to identify trends, patterns, and opportunities for improvement.
  • Develop dashboards and reports to track key performance indicators (KPIs) such as cost savings, patient outcomes, and care quality metrics.
• Population Health Management:
  
  • Use predictive analytics to identify high-risk patients and recommend targeted interventions.
  • Monitor and evaluate the effectiveness of population health programs (e.g., diabetes management, hypertension control).
• Performance Measurement:
  
  • Measure and report on value-based care metrics, such as:
    
    • Hospital readmission rates.
    • Patient satisfaction scores (e.g., NPS)
    • Cost per episode of care.
  • Benchmark performance against regional or national standards.
• Collaboration with Stakeholders:
  
  • Work with clinicians, care managers, and administrators to translate data insights into actionable strategies.
  • Support the design and implementation of value-based care initiatives.
• Technology and Tools:
  
  • Utilize advanced analytics tools (e.g., SQL, Python, R, Tableau, Power BI) to analyze and visualize data.
  • Manage and integrate data from multiple sources (e.g., EHRs, claims, patient registries).
• Quality Improvement:
  
  • Identify gaps in care delivery and recommend process improvements.
  • Support accreditation and compliance efforts (e.g., HEDIS, CMS Star Ratings).
• Cost and Utilization Analysis:
  
  • Analyze healthcare utilization patterns to identify cost-saving opportunities.
  • Evaluate the financial impact of value-based care programs.

Technical Skills:

• Proficient in data analysis tools (e.g., SQL, Python, R, SAS).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of healthcare data standards (e.g., HL7, FHIR).
• Familiarity with EHR systems (e.g., Intersystem).

Analytical Skills:

• Strong ability to interpret complex healthcare data.
• Expertise in predictive modeling and risk stratification.
• Experience with statistical analysis and machine learning.

Healthcare Knowledge:

• Deep understanding of value-based care models (e.g., ACOs, bundled payments, capitation).
• Knowledge of healthcare regulations and quality metrics

Familiarity with population health management strategies.