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.