Senior RCM Data Analyst

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives. Labcorp is Seeking a Senior RCM Data Analyst Work Schedule Full-time, standard business hours with additional hours as needed to support business initiatives and project deliverables. Work Location This hybrid position offers a balanced schedule of three in-office workdays at our Burlington or Durham, NC locations and two remote workdays per week, supporting both collaboration and flexibility. Job Responsibilities Data Analysis & Research Develop and execute large-scale analytical studies utilizing claim-level, laboratory, billing, and reimbursement data to support Revenue Cycle Management (RCM) initiatives. Analyze claim lifecycle data from order entry through post-adjudication activities to identify reimbursement opportunities, process gaps, and revenue optimization strategies. Locate, validate, integrate, and analyze data from multiple systems and sources, including laboratory systems, billing platforms, payer transactions, government policies, and internal databases. Apply payer policy requirements, reimbursement guidelines, and claim transaction data to identify trends impacting claim outcomes and payment performance. Perform statistical sampling, predictive modeling, and trend analysis to support operational decision-making and risk mitigation efforts. Reporting & Business Insights Locate, validate and analyze data using SAS, SQL, Access, VBA and Tableau and other reporting tools. Translate analytical findings into actionable recommendations that support process improvements, reimbursement optimization, and revenue protection initiatives. Create monitoring models and alerting mechanisms to identify process deviations, reimbursement risks, and system performance issues. Deliver analysis and reporting that supports business prioritization, operational improvements, and strategic initiatives. Systems Controls & Business Rules Support system control research and monitoring efforts to reduce revenue leakage and improve reimbursement outcomes. Evaluate system workflows, payer policies, and claim processing rules to identify opportunities for technology enhancements and business rule modifications. Recommend and support development of business rules associated with system changes, automation efforts, and revenue cycle technologies. Conduct testing and validation activities associated with system enhancements and process modifications. Industry & Organizational Support Support RCM Policy initiatives related to payer engagement, acquisitions, industry workgroups, and reimbursement process improvements. Develop analyses utilizing industry-standard data sources to support business solution initiatives and payer-related projects. Participate in cross-functional discussions regarding reimbursement policies, claim processing strategies, and operational initiatives. Minimum Qualifications Bachelor’s degree in Statistics, Mathematics, Informatics, Computer Science, Information Systems, or a closely aligned quantitative field with 6 or more years of experience; with 5 or more years of experience performing data analytics within healthcare, revenue cycle management, reimbursement, payer operations, laboratory services, or billing environments. 5 or more years of experience using SQL for querying, data validation, transformation, and analysis of large datasets. 3 or more years of experience utilizing SAS for statistical analysis, data management, and reporting. Preferred Qualifications Master’s degree in Statistics, Mathematics, Informatics, Computer Science, Information Systems, or a closely aligned quantitative field with 4 or more years of experience. 7 or more years of experience performing advanced healthcare, reimbursement, or revenue cycle analytics. 5 or more years of experience analyzing payer policy requirements, claim adjudication processes, and healthcare reimbursement transactions. 2 or more years of experience working with laboratory information systems, billing systems, or healthcare claims processing platforms. Additional Job Standards Experience supporting revenue cycle optimization, denial reduction, reimbursement improvement, or revenue integrity initiatives. Experience developing predictive analytics, statistical models, or anomaly detection solutions. Experience performing statistical sampling, modeling, forecasting, or trend analysis. Experience analyzing claim-level healthcare, laboratory, billing, reimbursement, or adjudication data. Experience developing business rules, system controls, monitoring models, or automated alerting processes. Experience integrating and validating data from multiple operational and transactional systems. Experience supporting healthcare acquisitions, payer initiatives, or industry workgroup projects through analytics and reporting. Experience utilizing Microsoft Excel and VBA for automation, reporting, and data analysis. Demonstrate effective communication of analytical findings to business, operational, and leadership stakeholders. Collaborate with cross-functional teams to support strategic business object