Complete a structured rotation across Supply Chain Operations (SCO) to develop end-to-end exposure to supply planning and operational processes. The intern will support analysis and execution across selected areas such as logistics, trade, supply chain analytics, and inventory/demand planning. In addition, the intern will leverage AI-enabled tools and data-driven technologies to improve operational efficiency, insight generation, and decision-making across SCO functions.
Key Responsibilities
- Rotate through selected SCO functions and complete defined deliverables within each assignment.
- Analyze shipment, inventory, service, lead-time, cost, planning, or trade-related data to identify issues and opportunities.
- Support logistics execution, operational reviews, exception management, and cross-functional action tracking.
- Document process flows, controls, handoffs, and improvement recommendations across rotations.
- Utilize AI-enabled tools (e.g., Microsoft Copilot, analytics platforms, automation solutions) to improve productivity, reporting, and operational decision support.
- Participate in data analytics, process automation, dashboard development, or AI-driven optimization projects to identify efficiency gains across the supply chain.
- Develop insights and recommendations using structured data analysis, AI-assisted research, and visualization tools, while adhering to company data governance and responsible AI practices.
- Currently pursuing a bachelor's degree in Supply Chain, Logistics, Business Analytics, Data Science, Industrial Engineering, Computer Science, or a related field.
- Strong analytical capability and proficiency with Excel; exposure to visualization, reporting, or data analytics tools is preferred.
- Interest in developing broad end-to-end supply chain knowledge through multiple assignments.
- Demonstrated curiosity and willingness to learn emerging technologies, including AI, machine learning, automation, and data analytics applications in supply chain operations.
- Experience with Microsoft Copilot, Power BI, Python, SQL, Power Automate, or other digital/AI tools is preferred.
- Ability to adapt quickly, build relationships, and communicate effectively across functions and regions.
- Strong organization, follow-through, problem-solving skills, and willingness to learn unfamiliar processes.
- Understanding of responsible AI principles, data quality, and information security practices is a plus.
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