Join Northwood Space as a Supply Chain Data & Analytics Intern to develop data-driven solutions for complex supply chain challenges.
Posted by employer 2 weeks ago
First seen on Joblaze 2 months ago
Last verified on the company career page 1 day ago
Requirements
Not disclosed in this posting: compensation, years of experience, work arrangement.
Joblaze summary
The Supply Chain Data & Analytics Intern at Northwood Space will engage in transforming complex supply chain issues into actionable, data-driven solutions through tasks like developing predictive models and automating data pipelines. Key skills include proficiency in Excel and familiarity with SQL, Python, or data visualization tools, alongside a strong analytical mindset. This role is ideal for students pursuing degrees in relevant fields who are eager to apply their knowledge in a fast-paced, high-tech environment. Northwood's focus on innovative space infrastructure offers a unique opportunity to contribute to impactful projects.
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Quick facts
From the original posting
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
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