Intern - Workload Analytics and Dashboard Development Analyst

Das Wichtigste

Das bringst du mit

• Current enrolment in a Bachelor’s degree program or higher
• 3 months or more of experience using Power BI
• Fluency in English
• Ability to work independently and collaboratively within a multidisciplinary team
• Strong organizational skills and attention to detail
• Ability to explain complex concepts clearly to both technical and non-technical audiences

Deine Aufgaben

• Analyze data such as daily timesheet and task assignments, non-study activities, and operational data to understand workload across Global Monitoring teams
• Collaborate with Global Monitoring Leadership to define meaningful workload and capacity indicators
• Develop a functional Power BI dashboard supporting workload allocation, capacity planning, and resource forecasting
• Assess data quality and recommend improvements to workload-recording and reporting practices
• Test and refine the dashboard with users across different levels
• Document the solution and present outcomes and recommendations to the Global Monitoring Leadership

Das wird geboten

• Hands-on project work complementing academic background
• Exposure to Labcorp’s global business, culture, and leadership through enterprise-wide learning experiences, senior leader interactions, and continuous professional development opportunities
• Dedicated mentoring connections for career advice and growth support
• Connection to Labcorp’s inclusive culture via employee resource groups and values-driven community initiatives
• Paid internship
• Opportunity to create real impact for patients worldwide

Über die Stelle

Labcorp is a global leader in laboratory services, providing insights and answers to healthcare providers, patients, researchers, pharmaceutical companies and health systems. The company leverages advanced technologies, intelligent digital solutions and data-driven innovation to enhance operations and deliver value to customers and patients. The Global Monitoring team helps clinical trials run more efficiently by providing proactive oversight of laboratory and study-related activities using data analytics, automated monitoring solutions, and operational expertise.

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