Supply Chain Analytics Intern

About the Role

• Support supply chain management, data analytics, and controls and automation.
• Work with teams across the supply chain organization on meaningful projects leveraging data, analytics, automation, and emerging AI capabilities to improve business processes and decision-making.

Key Responsibilities

• Supporting the development, maintenance, and enhancement of data platforms and reporting solutions.

• Analyzing trends and business data to uncover insights and opportunities.

• Creating dashboards and visualizations that help stakeholders make informed decisions.

• Improving data collection, accessibility, and reporting processes.

• Collaborating with business partners to understand requirements and translate them into analytical solutions.

• Exploring opportunities to leverage automation and AI capabilities to improve efficiency and business outcomes.

• Example #1 - Supply Chain Dashboard Development: Design and enhance dashboards that provide visibility into key supply chain performance metrics. Work with stakeholders to determine reporting needs and create visualizations that support decision-making.

• Example #2 - Data Process Improvement: Analyze existing data flows and reporting processes to identify opportunities for increased efficiency, automation, and improved data quality.

• Example #3 - Business Insights & Analytics

Requirements & Tech Stack

• SQL (Required)
• Python (preferred)
• Data visualization and dashboarding tools such as Tableau or Power BI.
• Data analysis and reporting.
• Cloud platforms and cloud-based data environments.
• Microsoft Excel and other Microsoft Office applications.
• Experience using AI tools to support analysis, automation, or productivity.
• Business intelligence, reporting, or analytical software.

Qualifications

• Supply Chain Management (with a technical or analytical focus).
• Mathematics.
• Statistics.
• AI (specific to Master’s programs).
• Students who will have completed their junior year of undergraduate study and are entering their senior year, as well as Master’s-level students, with an anticipated graduation date between December 2027 and April 2028.
• Strong communication skills.
• Ability to translate technical concepts for business audiences.