Internship, Supply Chain Analytics

About the Role

This internship sits within the Customer Support and supply chain operations environment. The intern will work with supply chain professionals, business analysts, project managers, and operational leaders to analyze service ticket data, identify recurring issues, improve Ways of Working (WoW), and create clear technical documentation that supports sustainable process improvements. The role combines data analysis, business storytelling, technical writing, presentation development, and stakeholder management. The intern will translate complex operational data into practical recommendations and establish a sustainable handoff process at the conclusion of the internship.

Key Responsibilities

• Analyze operational and supply chain ticket data to identify patterns, inefficiencies, root causes, and improvement opportunities.
• Develop clear reports, presentations, process documentation, and recommendations for technical and non-technical audiences.
• Collaborate with cross-functional stakeholders to validate findings and support implementation of process improvements.
• Document and present project findings, outcomes, and recommendations in an end-of-internship presentation.
• Create a repeatable process, reporting structure, and knowledge-transfer package that can be sustained after the internship.
• Perform ticket bucketing analysis to organize tickets into meaningful categories.
• Create a bucket-level breakdown explaining why tickets were created.
• Identify the top recurring ticket types and associated themes.
• Determine which ticket types are the most time-consuming and assess their operational impact.
• Draw conclusions from the analysis to identify opportunities for systematic process or Ways of Working (WoW) corrections.
• Manage stakeholder alignment and collaboration to drive process improvements.
• Formulate a proposal to correct identified gaps and improve operational efficiency.
• Present the analysis, findings, and business implications to stakeholders.
• Set up a sustainable reporting, documentation, and handoff process for use after the internship is complete.
• Create dashboards, data visualizations, and concise management-ready summaries.
• Write and update work instructions, process flows, standard operating procedures, lessons learned, and best-known methods.
• Develop clear definitions, assumptions, data dictionaries, and analytical methodologies so results can be reproduced.
• Assess current processes and documentation using continuous improvement principles such as Lean and root-cause analysis.
• Partner with stakeholders across functions to verify data quality, test conclusions, and prioritize improvement actions.
• Track recommendations, decisions, owners, and follow-up actions through project closeout.

Requirements & Tech Stack

• Microsoft Office applications, particularly Excel, PowerPoint, Teams, OneNote, and Word.
• Coursework or project experience involving data analysis, business process improvement, technical writing, supply chain, or operations is preferred.

Skills

• Excel and analytical tools, including the ability to organize, clean, analyze, and visualize data.
• Ability to use AI tools responsibly to support analysis, documentation, research, and productivity.
• Strong presentation development and business storytelling skills.
• Ability to draw clear, evidence-based conclusions and convert findings into actionable proposals.
• Technical writing skills, with the ability to create accurate, structured, and user-friendly documentation.
• Can-do attitude, curiosity, and willingness to learn.
• Collaboration and stakeholder management skills across technical and business teams.
• Ability to identify trends, bottlenecks, recurring issues, and improvement opportunities.
• Attention to detail and a high degree of accuracy.
• Ability to manage assignments independently, meet deadlines, and follow through with minimal supervision.
• Clear, concise, and professional written and verbal communication.
• Result-driven mindset with ownership and accountability.

Preferred Technical Capabilities

• Advanced Excel capabilities such as PivotTables, XLOOKUP, data validation, Power Query, and charts.
• Experience with Power BI, Tableau, SQL, Python, or similar analytical tools is a plus.
• Familiarity with process mapping, root-cause analysis, Pareto analysis, and continuous improvement methods is a plus.
• Ability to structure technical content for different audiences, from process users to leadership stakeholders.

Qualifications

• Currently pursuing a bachelor's degree or master's degree in Data Analytics, Data Science, Business Analytics, Business Management, Global Supply Chain Management, Operations Management, Industrial Engineering, Information Systems, or an equivalent discipline.
• The candidate must be authorized to work in the United States without the need for employer sponsorship.