Demand Planning Intern

About the Role

This is a Demand Planning Intern role for Summer 2027, focused on improving how the Demand Planning team analyzes and learns from new product forecasts. The intern will partner with Demand Planning and Analytics teams to identify data trends, document findings, and help establish a repository for future forecasting improvements and AI-driven planning capabilities.

Key Responsibilities

• Support the creation of a centralized repository capturing historical forecasting assumptions, outcomes, and lessons learned from new product launches.
• Analyze trends across previous forecasts, identify factors influencing performance, and document findings.
• Partner with Demand Planning and Analytics teams to evaluate how historical forecasting data can support new machine learning and AI-enabled planning tools.
• Help organize and structure data inputs, identify business considerations influencing forecast performance, and recommend opportunities to improve information capture and utilization.
• Work with cross-functional partners to understand forecasting challenges, gather business requirements, and develop reporting or visualization tools.
• Present recommendations and insights to improve forecasting processes, data accessibility, and planning effectiveness.

Requirements & Tech Stack

• Microsoft Excel, including data analysis and reporting capabilities.
• Experience organizing, analyzing, and interpreting data.
• Experience creating dashboards, reports, or visualizations.
• Familiarity with Tableau, Power BI, Alteryx, or similar analytical tools.
• Experience using AI tools (such as Microsoft Copilot, ChatGPT, Claude, or similar platforms) to support analysis, research, or productivity.
• Ability to summarize data and communicate findings to business audiences.

Qualifications

• Students who will have completed their junior year by the start of the internship.
• Anticipated graduation date between December 2027 and April 2028.
• Natural curiosity and a desire to understand the "why" behind business results.
• Strong communication and presentation skills.
• Attention to detail and commitment to accuracy.
• Analytical thinking and problem-solving abilities.
• Ability to translate data into actionable business insights.
• Collaborative mindset with the ability to work across functions.
• Initiative and accountability when managing projects independently.

Compensation

• $24.36–$25.55 per hour.