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Northwoodspace

Supply Chain Data & Analytics Intern (2027 Summer Internship)

LocationTorrance, CA
Work modeon-site
Typefull-time
DepartmentSupply Chain
Company size51+ people
First seen3w ago
Last seen3d ago
About the company
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. 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:
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Develop ETL pipelines and automate data collection from multiple internal and external sources.
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Build predictive models for demand forecasting, inventory optimization, and supplier risk analysis.
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Analyze lead times, procurement trends, logistics efficiency, and other operational metrics.
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Design dashboards and reporting tools to provide real-time, actionable insights.
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Conduct scenario modeling to support decision-making on production, procurement, and distribution.
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Implement data validation processes and quality checks to ensure accuracy and reliability.
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Present complex analyses in a clear, compelling way to cross-functional teams and leadership.
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Contribute to building scalable data systems and analytics best practices within the supply chain function.
Basic Qualifications:
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Pursuing a degree in Supply Chain Management, Industrial Engineering, Data Science, Business Analytics, or related field.
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Strong analytical and problem-solving skills with a passion for data-driven decision making.
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Proficiency in Excel; experience with SQL, Python, R, or data visualization tools (e.g., Tableau, Power BI, Looker) is a plus.
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Experience with predictive modeling, statistical analysis, or machine learning applied to operations or supply chain problems.
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Interest in supply chain operations and how data can drive efficiency and resilience.
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Strong communication skills-you can translate numbers into insights and tell a story.
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Self-starter who is curious, detail-oriented, and eager to learn in a fast-paced environment.
Preferred Qualifications:
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Prior experience in the aerospace, satellite, telecommunications, or defense industries
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Experience with ERP Systems (NetSuite, Oracle/SAP)
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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.
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.
Northwood Space is an Equal Opportunity Employer; employment with Northwood Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
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