Global Space Supply Chain Analytics Intern

Northwood

Torrance (CA)

On-site

USD 28,000 - 34,000

Full time

42 hours ago
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Job summary

Northwood is a modern space infrastructure company bringing the benefits of space to the masses. We are seeking a Supply Chain Data & Analytics Intern to join our team for the summer in 2027.

You will turn complex supply chain challenges into data-driven solutions. You will design predictive models, build automated data pipelines, and create tools that forecast demand, optimize inventory, and assess supplier performance across a fast-growing, high-tech operation.

Qualifications

  • Pursuing a degree in Supply Chain Management, Industrial Engineering, Data Science, Business Analytics, or related field.

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.

Skills

Analytical thinking
Excel
SQL
Python
R
Tableau
Power BI
Looker
Data storytelling

Education

Bachelors student in a relevant field

Tools

ERP Systems (NetSuite)
Oracle
SAP

Job description

Northwood is a modern space infrastructure company bringing the benefits of space to the masses. We are seeking a Supply Chain Data & Analytics Intern to join our team for the summer in 2027.

You will turn complex supply chain challenges into data-driven solutions. You will design predictive models, build automated data pipelines, and create tools that forecast demand, optimize inventory, and assess supplier performance across a fast-growing, high-tech operation.

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