Data Analyst III

Medical University of South Carolina • Charleston, SC

70d

About The Position

The Data Analyst III reports to the Manager of Analytics & Business Intelligence supporting MUSC's academic, research, and healthcare missions. This position is responsible for developing and maintaining advanced analytics solutions that drive strategic decision-making, operational performance, and supply chain efficiency.

Requirements

• Bachelor's Degree or equivalent, and 3 years of experience.

Responsibilities

• Advanced Analytics & Reporting: Develop, implement, and maintain dashboards, reports, and data models to provide actionable insights for supply chain management and operational improvement.
• Mentorship & Teaching: Serve as a subject matter expert and mentor to internal and external stakeholders, educating teams on data-driven decision-making and best practices in supply chain analytics.
• Project Management Support: Assist in overseeing analytics projects by providing technical expertise, ensuring deadlines are met, and guiding junior analysts on best practices and methodologies. Takes a lead role in projects; participates in team and project meetings and provides input on intelligent solutions to improve efficiency.
• Stakeholder Collaboration: Work closely with supply chain leaders, clinicians, finance teams, and other key stakeholders to understand their analytical needs and develop tailored solutions.
• Proactive Problem-Solving: Anticipate potential data-related challenges and provide innovative, intelligent solutions to improve efficiency and decision-making processes.
• Customer Service & Communication: Maintain a professional and collaborative approach when working with stakeholders, ensuring excellent communication and customer service. Generates appropriate communication, process and educational plans to identify and remove obstacles to change and mitigating the disruption of change.
• Continuous Improvement: Stay up to date with industry trends, emerging technologies, and best practices in analytics to enhance the organization's data capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees