Supply Chain Data & Analytics Intern: Forecast & Optimize

Socket.dev; Torrance (CA); On-site; USD 22,000 - 33,000; Part time

Job summary

Northwood Space seeks a Supply Chain Data & Analytics Intern for summer 2027, tackling real-world challenges with data-driven solutions. You will design predictive models, automate data pipelines, and build tools to forecast demand, optimize inventory, and assess supplier performance across a growing high-tech operation.

You’ll collaborate with engineers, operations leaders, and data scientists to influence strategic decisions and show immediate impact on growth trajectory.

Qualifications

• Pursuing a degree in a related field with strong analytical mindset.
• Experience with predictive modeling or machine learning in operations/supply chain is a plus.
• Familiarity with data visualization tools (Tableau/Power BI/Looker) is advantageous.
• Strong communication and storytelling with data are essential.

Responsibilities

• Develop ETL pipelines and automate data collection from multiple sources.
• Build predictive models for demand forecasting and inventory optimization.
• Analyze lead times, procurement trends, and logistics metrics.
• Design dashboards and reporting tools for real-time insights.
• Conduct scenario modeling to support production and distribution decisions.
• Implement data validation and quality checks for reliability.
• Present analyses clearly to cross-functional teams and leadership.
• Help build scalable data systems and analytics best practices in supply chain.

Skills

Analytical skills

Problem-solving

Data-driven decisions

Communication skills

Self-motivated

Learning mindset

Education

Pursuing degree in Supply Chain Management/Industrial Engineering/Data Science/Business Analytics

Tools

Excel

SQL

Python

R

Tableau

Power BI

Looker

Job description

Northwood Space seeks a Supply Chain Data & Analytics Intern for summer 2027, tackling real-world challenges with data-driven solutions. You will design predictive models, automate data pipelines, and build tools to forecast demand, optimize inventory, and assess supplier performance across a growing high-tech operation.

You’ll collaborate with engineers, operations leaders, and data scientists to influence strategic decisions and show immediate impact on growth trajectory.