Supply Chain Intern

Supply Chain Project Intern Key Responsibilities Execute routine daily, weekly, and monthly manual processes to support the broader supply chain, purchasing, and operations teams. Write and optimize SQL queries to extract, transform, and analyze large datasets from enterprise data warehouses to support IBP and operational reporting. Leverage Python scripts and advanced Excel to identify trends, manipulate data, and gradually automate repetitive reporting and operational workflows. Explore and implement AI algorithms and assist in building intelligent agents designed to enhance or automate workflows, optimize inventory routing order management, and automate complex network planning decisions. Assist in generating, distributing, and optimizing regular inventory, demand, and fulfillment dashboards. Collaborate on analytical projects focused on network inventory rebalancing, forecasting optimization, and purchasing operations. Support data validation, system updates, and data management tasks critical for accurate supply planning. Qualifications Currently pursuing a Bachelor’s or Master’s degree in Supply Chain Management, Data Science, Industrial Engineering, Computer Science, or a related field. Highly data-savvy with strong analytical thinking and a natural inclination for solving complex operational problems. Proficient in writing SQL queries for data extraction and relational database management. Experience writing and executing Python scripts, particularly for data extraction, manipulation, or process automation. Familiarity with or a strong interest in AI algorithms, machine learning concepts, and agentic workflows (e.g., building LLM-based agents or automated decision trees). Advanced proficiency in Microsoft Excel (e.g., complex formulas, Power Query, advanced modeling). Strong attention to detail with the discipline to consistently and accurately execute recurring manual workflows. A foundational understanding of inventory management, purchasing principles, and distribution networks. Familiarity with enterprise data visualization and cloud data platforms (e.g., Power BI, Sigma, Snowflake) is a strong plus.

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