About this role
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. Administrator, Data Analytics Labcorp is seeking an Administrator, Data Analytics to join our team in Burlington, NC or Durham, NC with the flexibility of a hybrid work schedule!
Responsibilities: Autonomous Data Management: Engineer and maintain automated data pipelines from primary and secondary source systems. Agentic AI Deployment: Build and deploy AI agents to autonomously monitor, analyze, and flag operational trends or patterns. Smart Dashboarding: Transform datasets into compelling, automated visuals using Tableau or Power BI and AI-assisted BI tools.
Proactive Insight Generation: Utilize LLMs and machine learning to generate natural language summaries of complex operational metrics. Cross-Functional Collaboration: Elicit business requirements from teams to develop intelligent, predictive dashboards and KPIs. Data Quality Engineering: Implement automated data cleaning and anomaly detection workflows to catch and correct data anomalies.
Process Transformation: Replace manual reporting with end-to-end automated workflows to curate data sources, reduce human effort, and eliminate errors. Adaptive Project Management: Balance multiple requests and anticipate shifting operational needs in a highly dynamic environment. Ad-Hoc Intelligent Analysis: Execute rapid, AI-driven exploratory data analysis for urgent, unstructured operational requests.
Minimum Qualifications: Bachelor’s Degree in Data Analytics, Data Science, Computer Science or Supply Chain. 5 or more years’ experience in data analytics. 2 or more years’ experience with Alteryx, Tableau, Power BI, SQL, and/or additional automated Extract, Transform, Load (ETL) data management tools.
Preferred Qualifications: Advanced or Expert certification in Alteryx. Tableau Desktop Certified Professional (TDCP) certification. 2 or more years’ experience managing data and AI workflows.
2 or more years’ experience in data analytics in healthcare. Additional Job Standards: Hands-on experience working with Agentic AI frameworks, prompt engineering, or AI-powered analytics tools. Experience with Python, R, or advanced SQL for custom data manipulation and advanced predictive modeling.
Communication Skills: Ability to relate professional analytics, AI methodologies, and complex data insights to non-technical stakeholders. Skills and Competencies: Technical Skills Agentic AI Frameworks: Designing autonomous AI agents Data Automation & ETL: Advanced workflow construction in Alteryx, plus Python or SQL for data pipeline creation. Data Visualization: Building complex, interactive dashboards and automated reporting suites using Tableau.
Predictive Analytics: Applying statistical modeling, forecasting, and anomaly detection algorithms to supply chain metrics. Competency Autonomous Problem Solving: Initiating independent data investigations by programming agents to flag operational issues. Cross-Functional Translation: Explaining complex AI methodologies and technical data workflows to non-technical business leaders.
Systems Thinking: Understanding how data changes cascade through the entire diagnostics operations supply chain. Agile Project Management: Adapting to shifting operational priorities and managing multiple technical deliverables simultaneously. About the Role Administrator, Data Analytics role delivers advanced business intelligence and AI-driven insights to leaders within Labcorp Diagnostics Operations.
This role leverages Alteryx, Tableau, Power BI, and Agentic AI frameworks to automate data management, orchestrate autonomous analysis, and build dynamic visualizations. Ultimately, the role ensures business leaders receive real-time, actionable insights into the health of the Diagnostics operations supply chain. Applicants will follow a hybrid schedule that includes a minimum of three in-office days per week at the Burlington, NC or Durham, NC location, supporting both collaboration and flexibility.
Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO.
For more detailed information, please click here . #LI-DZ1 Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic.
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