Supply Chain Data & Analytics Intern (2027 Summer Internship)

Role

We are seeking a Supply Chain Data & Analytics Intern to join our team for the summer in 2027. You will be at the cutting edge of turning complex supply chain challenges into high-impact, data-driven solutions.

You won’t just be analyzing spreadsheets-you’ll be designing predictive models, building automated data pipelines, and creating tools that shape how we forecast demand, optimize inventory, and manage supplier performance across a fast-growing, high-tech operation.

You will collaborate directly with engineers, operations leaders, and data scientists to influence strategic decisions and make an immediate, visible impact on the company’s growth trajectory. If you’re excited by solving problems with data, pushing technological boundaries, and seeing your insights drive tangible outcomes, this role is for you.

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

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.