Supply Chain Data & Analytics Intern (2027 Summer Internship)

Responsibilities:

• Develop ETL pipelines and automate data collection from multiple internal and external sources.
• Build predictive models for demand forecasting, inventory optimization, and supplier risk analysis.
• Analyze lead times, procurement trends, logistics efficiency, and other operational metrics.
• Design dashboards and reporting tools to provide real-time, actionable insights.
• Conduct scenario modeling to support decision-making on production, procurement, and distribution.
• Implement data validation processes and quality checks to ensure accuracy and reliability.
• Present complex analyses in a clear, compelling way to cross-functional teams and leadership.
• Contribute to building scalable data systems and analytics best practices within the supply chain function.
• Basic Qualifications:
• Pursuing a degree in Supply Chain Management, Industrial Engineering, Data Science, Business Analytics, or related field.
• Strong analytical and problem-solving skills with a passion for data-driven decision making.
• Proficiency in Excel; experience with SQL, Python, R, or data visualization tools (e.g., Tableau, Power BI, Looker) is a plus.
• Experience with predictive modeling, statistical analysis, or machine learning applied to operations or supply chain problems.
• Interest in supply chain operations and how data can drive efficiency and resilience.
• Strong communication skills-you can translate numbers into insights and tell a story.
• Self-starter who is curious, detail-oriented, and eager to learn in a fast-paced environment.
• Preferred Qualifications:
• Prior experience in the aerospace, satellite, telecommunications, or defense industries
• Experience with ERP Systems (NetSuite, Oracle/SAP)
• Startup or fast-paced environment experience a plus
• Additional Information:
• If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.