Global Supply Chain Analytics & Insights Intern

Position Overview

As a Global Supply Chain Analytics & Insights Intern, you will gain hands-on experience supporting the development and application of analytics, automation, machine learning, and AI-enabled solutions across Mercury’s Global Supply Chain organization. This role will help identify opportunities for data-driven improvement, predictive insights, process optimization, and business value creation.

Essential Functions

• Partner with Global Supply Chain business teams to identify opportunities for data-driven improvement, automation, and advanced analytics.
• Aid in translating business questions into clearly defined use cases, hypotheses, data requirements, and analytical approaches.
• Support the development of dashboards, reports, data models, and analytics tools that help improve supply chain visibility and decision making.
• Contribute to data cleansing, validation, visualization, and analysis activities using Microsoft Excel, Power BI, Python, SQL, or similar tools.
• Help evaluate analytics and AI outputs against business outcomes to ensure solutions are practical, usable, and aligned to operational needs.
• Intern project opportunities: Research analytics best practices, responsible AI concepts, automation opportunities, and emerging technologies that can support Global Supply Chain transformation. Support an AI, machine learning, or predictive analytics proof of concept tied to a practical business use case. Map and analyze current-state processes to identify inefficiencies, automation opportunities, and future-state improvements for technical and non-technical audiences. Develop recommendations and present project findings to Global Supply Chain Analytics & Insights leadership and business stakeholders.

Required Qualifications

• Currently pursuing a degree in Supply Chain Management, Business Analytics, Data Analytics, Data Science, Information Systems, Computer Science, or a related field.
• Strong analytical, problem-solving, organizational, and communication skills with the ability to explain findings clearly.
• Proficiency in Microsoft Excel and interest in learning tools such as Power BI, SQL, Python, Microsoft Power Platform, or other analytics platforms.
• Ability to work independently while collaborating effectively in a cross-functional, team-oriented environment.

Preferred Qualifications

• Coursework or project experience involving analytics, statistics, data visualization, AI, machine learning, or process improvement.
• Experience with Power BI, SQL, Python, Microsoft Power Platform, or other data visualization/analytics tools.
• Exposure to data cleansing, data mapping, workflow documentation, user testing, or business requirements gathering.
• Interest in responsible AI, digital transformation, automation, supply chain optimization, and business partnership.