Supply Chain Intern
Focus LoomCompensation: $26.80–$28.10 per hour
Start Date: Summer 2027
Department: Operations
Why We Have This Role:
We are looking for a supply chain analytics intern to support supply chain management, data analytics, and controls and automation. As a Supply Chain Analytics Intern, you will work with teams across the supply chain organization on meaningful projects that leverage data, analytics, autom
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ation, and emerging AI capabilities to improve business processes and decision-making.
Your Responsibilities:
• Supporting the development, maintenance, and enhancement of data platforms and reporting solutions.
• Analyzing trends and business data to uncover insights and opportunities.
• Creating dashboards and visualizations that help stakeholders make informed decisions.
• Improving data collection, accessibility, and reporting processes.
• Collaborating with business partners to understand requirements and translate them into analytical solutions.
• Exploring opportunities to leverage automation and AI capabilities to improve efficiency and business outcomes.
• Throughout the internship, you will gain experience working at the intersection of supply chain operations, analytics, and technology while developing skills in data storytelling, stakeholder management, and business problem-solving.
• Example #1 - Supply Chain Dashboard Development.
• Design and enhance dashboards that provide visibility into key supply chain performance metrics. Work with stakeholders to determine reporting needs and create visualizations that support decision-making.
• Example #2 - Data Process Improvement.
• Analyze existing data flows and reporting processes to identify opportunities for increased efficiency, automation, and improved data quality.
• Example #3 - Business Insights & Analytics.
Requirements:
• Supply Chain Management (with a technical or analytical focus).
• Mathematics.
• Statistics.
• AI (specific to Master’s programs).
• Students who will have completed their junior year of undergraduate study and are entering their senior year, as well as Master’s-level students, with an anticipated graduation date between December 2027 and April 2028.
• Technical Skills: SQL (Required), Python (preferred).
• Data visualization and dashboarding tools such as Tableau or Power BI.
• Data analysis and reporting.
• Cloud platforms and cloud-based data environments.
• Microsoft Excel and other Microsoft Office applications.
• Experience using AI tools to support analysis, automation, or productivity.
• Business intelligence, reporting, or analytical software.
• Strong communication skills.
• Ability to translate technical concepts for business audiences.
Important: The successful application submission for the above role(s) will be conditional to your profile evaluation by our AI system. We can let you know better once you submit your resume.
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