Work hands-on with large, complex healthcare claims and provider datasets to ensure data accuracy and integrity
Utilize reference data sources and advanced validation techniques to ensure accuracy, completeness, and integrity of healthcare claims data
Assess provider scoring methodologies, identify discrepancies, and develop insights to optimize coverage accuracy
Design, develop, and maintain retrospective models for historical performance analysis, and predictive models to identify high-risk patients and prioritize actionable interventions
Translate complex analytical findings into clear, actionable insights, and effectively communicate results and recommendations to internal stakeholders and external clients
Aggregate and reconcile multiple data sources, applying statistical and computational methods to verify data integrity, identify anomalies, and implement necessary corrections
Execute comprehensive data analysis workflows, evaluate outcomes, and implement enhancements to improve model accuracy and data reliability
Review and optimize claim-matching processes, troubleshoot inconsistencies, and resolve data discrepancies to maintain high-quality outputs
Investigate data quality issues, conduct root cause analysis, document findings, and deliver actionable recommendations for process improvements
Collaborate with cross-functional teams to enhance analytical tools, refine methodologies, and implement scalable solutions that improve efficiency and analytical capabilities
Identify and resolve data issues using SQL and Python, apply statistical methods, and deliver clear, actionable insights to support decision-making across the organization
Requirements
Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science, Finance, or Economics) or equivalent professional experience
Five (5) or more years of experience analyzing healthcare claims data, including complex and imperfect datasets
Strong analytical, problem-solving, and critical-thinking skills with proven ability to uncover root causes
Proficiency in SQL for querying and manipulating data; familiarity with Python or similar data tools preferred
Advanced Excel skills, including PivotTables and complex formulas, for data modeling and reporting
Knowledge of healthcare network rosters, provider data, and quality measurement methodologies
Exceptional attention to detail with a commitment to accuracy, data validation, and quality assurance
Highly organized and self-motivated, with the ability to manage multiple priorities independently while collaborating effectively with others
Master’s degree preferred
You must be US based, in a location where you can work effectively and comply with company policies such as HIPAA
Quiet workspace free from distractions and reliable internet connection
Adherence to company security protocols, including the use of VPNs, secure passwords, and company-approved devices/software