Supply Chain Data & Analytics Intern
Build ETL pipelines, predictive models, dashboards, and scenario analyses to improve demand forecasting, inventory, supplier risk, and operational decision-making. The internship requires strong analytical skills, Excel proficiency, and pursuit of a relevant degree.
About the job
Responsibilities
- Develop ETL pipelines and automate data collection from internal and external sources.
- Build predictive models for demand forecasting, inventory optimization, and supplier risk analysis.
- Analyze lead times, procurement trends, logistics efficiency, and operational metrics.
- Design dashboards and reporting tools for real-time, actionable insights.
- Conduct scenario modeling for production, procurement, and distribution decisions.
- Implement data validation processes and quality checks.
- Present complex analyses clearly to cross-functional teams and leadership.
- Contribute to scalable data systems and supply chain analytics best practices.
Requirements
- Pursuing a degree in Supply Chain Management, Industrial Engineering, Data Science, Business Analytics, or a related field.
- Strong analytical and problem-solving skills.
- Proficiency in Excel.
- Experience with predictive modeling, statistical analysis, or machine learning applied to operations or supply chain problems.
- Interest in supply chain operations and data-driven efficiency and resilience.
- Strong communication skills and ability to translate analysis into insights.
- Curious, detail-oriented, self-directed, and eager to learn in a fast-paced environment.
Nice-to-haves
- SQL, Python, R, or data visualization tools such as Tableau, Power BI, or Looker.
- Experience in aerospace, satellite, telecommunications, or defense industries.
- Experience with ERP systems, including NetSuite, Oracle, or SAP.
- Startup or fast-paced environment experience.
Compensation
- $70,720 annually.
Skills
Excel, SQL, Python, R, Tableau, Power BI, Looker, Predictive Modeling, Statistical Analysis, Machine Learning, ETL, ERP Systems
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