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.