• Capture, analyze, and validate data to support clinical, operational, and financial performance improvement using qualitative and quantitative techniques • Develop dashboards, reports, visualizations, and automated analytics solutions using Microsoft Fabric, Power BI, SQL, and Python to support leadership decision-making and performance improvement initiatives • Supports enterprise data and reporting systems through data extraction, transformation, modeling, validation, and query development while ensuring adherence to established data standards • Works with large and complex datasets from healthcare and enterprise systems, including Epic EHR and Epic Clarity, to deliver actionable insights and scalable reporting solutions • Partners with operational, financial, and clinical leaders to translate business requirements into reporting, analytics, and actionable insights

• Pull, extract, and organize data from the company's central data repository/database on a recurring basis • Validate data for accuracy and flag/resolve discrepancies before publishing • Identify trends, patterns, and insights within the data to support business decision-making • Assist in defining and documenting system requirements for current and future inspection, audit, and engineering programs • Recommend programs to support data analysis and automation for scalability to new programs and commodities • Create tools for new programs to track performance of auditors, assessors, inspectors, etc… as needed • Partner on data infrastructure, visualization, and analytics roadmap initiatives • Perform ad hoc analysis and deep dives to generate actionable metrics and be able to communicate this to internal stakeholders. • Automate internal and external reporting while ensuring data quality and timeliness • Improve report performance and streamline data visualization using advanced modeling techniques • Maintain data accuracy, governance, and documentation; support validation processes

• Assist in analyzing medical and pharmacy claims data to identify trends, cost drivers, and opportunities for optimization. • Support provider contracting and payer teams by pulling and summarizing data on reimbursement models, pricing structures, and fee schedules. • Assist in building and maintaining financial models to assess payer performance, reimbursement strategies, and cost containment opportunities. • Collaborate with sales and contracting teams to deliver ad hoc data pulls and reports that support growth initiatives. • Work with Medicare, Medicaid, and commercial claims data to support tracking reimbursement trends and regulatory changes. • Build and maintain reports and dashboards using SQL, Power BI, or Tableau to visualize key business metrics. • Support evaluation of the financial impact of alternative payment models, value-based care initiatives, and provider incentives. • Perform quality checks to ensure data integrity and accuracy in claims analysis. • Partner with internal teams to support claims processing workflows, payment accuracy, and operational efficiencies.

• Analyze integrated and extensive datasets to extract value, impacting business decisions • Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care and improve clinical outcomes • Interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data • Support execution of large-scale projects with limited direction from leadership • Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers • Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines • Support the design, testing, and implementation of process enhancements and identify opportunities for automation • Apply expertise in quantitative analysis, data mining, and the presentation of data to understand how customers interact with analytic products • Support multiple functions and levels of the organization and effectively communicate findings and insights to non-technical business partners • Independently engage with customers and business partners to gather requirements and validate results • Communicate and present data-driven insights and recommendations to both internal and external stakeholders