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Supply Chain Data & Analytics Intern (2027 Summer Internship)

Northwood Space · Supply Chain

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Pay
$34 per hour
Where
Torrance, CA
Posted
Aug 28

Northwood is a modern space infrastructure company bringing the benefits of space to the masses through advanced communications technology. We are building a global network of phased array ground stations that enable real-time, reliable communication for satellite missions such as national security, global connectivity, and disaster response. With a vertically integrated approach, Northwood designs, builds, and rapidly deploys scalable systems that power the next generation of space missions. If you like solving complex challenges and seeing your work deployed around the world with real impact, Northwood is the place to do it.

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.

What you'd do

  • 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.

What they want

  • 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.