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Data Science | Business Analytics internship: procurement analytics dashboards

Posted 12 Nov 2026
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Work experience
0 to 2 years
Full-time / part-time
Part-time
Job function
Degree level
Required language
English (Fluent)
Start date
1 February 2027

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Data Science | Business Analytics internship: procurement analytics dashboards at ASML

Introduction

Within ASML's Indirect Procurement organization in Veldhoven, the Engineering, Research & Development Outsourcing Services team supports data-driven decision-making for procurement and supplier performance management. In this internship, you will help improve reporting solutions, data quality, and business insights by transforming complex data into clear and actionable information. Your work will support stakeholders in making more informed decisions and driving continuous improvement.

  • Location: Veldhoven, Netherlands
  • Team: Interns and Trainees
  • Work experience: 0-1 year, See job description
  • Educational background: Computer Science, Data Science, Other technical backgrounds
  • Travel: No
  • Workplace type: Hybrid
  • Fulltime/parttime: Part time

Your assignment

During this internship, you will help enhance reporting and analytics solutions that support procurement and supplier performance management. You will work with data from multiple sources, improve data structures, and translate business needs into clear and actionable insights. Your work will contribute directly to decision-making and continuous improvement initiatives across the organization.

Your main responsibilities will be:

  • Develop and improve dashboards that provide procurement and supplier performance insights.
  • Combine data from multiple sources into reliable and user-friendly reporting solutions.
  • Improve data models to increase reporting quality and consistency.
  • Analyze data to identify trends, risks, and opportunities for improvement.
  • Translate stakeholder requirements into meaningful visualizations and reports.
  • Validate data quality and reporting accuracy.
  • Collaborate with stakeholders to test, refine, and implement improvements.

This is a bachelor/master thesis or non-thesis internship for minimum 6 months, minimum 4 days per week (2 days on-site). The start date of this internship is as of February 2027.

Your profile

To be suitable for the internship, you:

  • Are enrolled in a bachelor's or master's degree in Data Science, Business Analytics, Industrial Engineering, Information Technology, Business Administration, or a related field.
  • Have experience with dashboard development and data visualization.
  • Have knowledge of data analysis, data preparation, and data modeling.
  • Are analytical, proactive, and comfortable working with complex datasets.
  • Communicate clearly in English and collaborate effectively with different stakeholders.

This internship is suitable for students who enjoy combining technical problem-solving with business impact. During the internship, you will gain practical experience in procurement analytics, stakeholder collaboration, and data-driven decision-making within a global high-tech organization.

Other requirements you need to meet:

  • You are enrolled at an educational institute for the entire duration of the internship, and you are at least 18 years old at the start of the internship;
  • If you are a non-EU citizen, studying in the Netherlands, your university is willing to sign the documents relevant for doing an internship (i.e., Nuffic agreement);
  • You need to be located in the Netherlands to be perform your internship. In case you are currently living/studying outside of the Netherlands, your application shows the willingness to relocate.

We're moving technology forward
In fact, we’re probably a part of the electronic device you’re using right now. Our lithography technology is fundamental to mass producing semiconductor chips. With it, the world’s top chipmakers are creating microchips that are more powerful, faster and energy efficient.

Engineering
Veldhoven
Active in 16 countries
42,000 employees
70% men - 30% women
Average age is 38 years