Inventory Insights Intern: Data-Driven Finance & Automation

ASML; Veldhoven; Hybrid; EUR 10,000 - 15,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

ASML is offering a Finance internship within the Capital Efficiency department in Veldhoven, Netherlands. You will contribute to inventory performance, reporting, and data-driven decision-making in a hybrid, full-time role for a minimum of six months.

The internship emphasizes automation and AI-driven enhancements, with start dates in February or March 2027 and collaboration across global functions.

Qualifications

• Pursuing a master's degree in Business Economics, Finance, Accounting, Business Analytics, Econometrics, or a related field.
• Strong interest in financial analysis, inventory management, or data-driven decision-making.
• Demonstrate analytical skills and ability to translate data into insights.
• Communicate effectively in English and collaborate with stakeholders.

Responsibilities

• Monitor and analyze inventory performance across ASML's end-to-end supply chain.
• Perform material coverage analyses and identify inventory risks and optimization opportunities.
• Prepare recurring inventory reports to support management decisions with data-driven insights.
• Support inventory control activities and performance monitoring processes.
• Contribute to continuous improvement initiatives focusing on automation and AI-driven enhancements.
• Collaborate with stakeholders across business, finance, and supply chain functions.

Skills

Analytical skills

Excel

PowerPoint

Education

Masters in business/finance

Tools

Microsoft Excel

PowerPoint

Job description

ASML is offering a Finance internship within the Capital Efficiency department in Veldhoven, Netherlands. You will contribute to inventory performance, reporting, and data-driven decision-making in a hybrid, full-time role for a minimum of six months.

The internship emphasizes automation and AI-driven enhancements, with start dates in February or March 2027 and collaboration across global functions.