Healthcare Data Analytics Specialist

Summary

Join our team as a Data Specialist – Business Intelligence and build provider-specific reports to optimize our healthcare facility's revenue cycle operations. You will develop clinical and financial data products for healthcare providers, focusing on actionable insights that improve provider reimbursement rates, reduce claim denials, and enhance revenue integrity. This role involves designing and implementing predictive models for clinical outcomes, engineering data pipelines, and developing interactive dashboards in Power BI. You will apply statistical methods to identify patterns in healthcare data and collaborate with stakeholders to translate insights into actionable interventions. The position requires expertise in healthcare data structures, SQL, Python, and Power BI. We offer a competitive salary, comprehensive benefits, and professional development opportunities.

Requirements

• Bachelor's degree in health informatics, Data Science, Biostatistics, or related field
• 3+ years of experience applying predictive analytics specifically within healthcare environments (provider, payer, or health tech)
• Demonstrated experience building predictive models using healthcare data (e.g., readmission prediction, cost prediction, clinical deterioration models)
• Strong proficiency in SQL and Python for data manipulation and statistical analysis
• Experience engineering data pipelines that integrate healthcare data sources (claims, EHR, clinical)
• Expertise in embedding predictive analytics within Power BI to create actionable dashboards
• Deep understanding of healthcare data structures including medical claims (CPT, ICD codes), EHR/EMR systems, and clinical workflows
• Familiarity with NLP techniques for unstructured clinical text analysis
• Understanding of risk adjustment models (HCC, CMS-HCC) and their application in predictive analytics

Responsibilities

• Design and implement predictive models for clinical outcomes, readmission risks, patient deterioration, and other healthcare-specific use cases using machine learning techniques
• Engineer data pipelines that transform raw healthcare data (claims, EHR, clinical) into analytics-ready formats suitable for predictive modelling
• Develop interactive, real-time predictive dashboards in Power BI that enable clinical and operational decision-makers to take proactive actions
• Apply statistical methods to identify patterns, trends, and correlations in healthcare data that inform risk stratification and population health management
• Create and maintain ETL processes that ensure data quality and accessibility for predictive analytics workflows
• Implement analytics solutions for provider charge capture optimization and claims processing efficiency
• Apply statistical methods to identify patterns in provider denial rates, payment variances, and collection cycles
• Collaborate with clinical and operational stakeholders to translate predictive insights into actionable interventions
• Ensure all analytics solutions comply with HIPAA and healthcare data security regulations

Benefits

• Competitive salary with performance-based bonuses tied to successful predictive model implementation
• Comprehensive medical insurance
• Paid time off, holidays, and parental leave
• Remote work flexibility
• Professional development opportunities in healthcare-specific AI/ML certifications