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.
• 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.