Business Intelligence | Data Analytics internship: cost insights dashboard

Description

Introduction

Within ASML’s Customer Support DUV Cost & Value team, you will help improve transparency around service part cost and usage. This team supports data-driven decision making by turning complex operational and financial data into actionable insights. During this internship, you will develop a dashboard and management solution that combines cost, usage, product, repair, installed-base, and geographical information into one clear view. Your work will help stakeholders understand key cost drivers, identify improvement opportunities, and make better business decisions. This internship offers the opportunity to create a solution that will continue to deliver value after your internship is completed.

Your assignment

As an intern, you will develop and validate an integrated dashboard and management tool that supports cost and usage analysis across ASML’s service organization. You will work closely with team members to understand business needs, translate questions into analytical requirements, and build a practical solution that enables data-driven improvements. The assignment combines business intelligence, data analysis, visualization, and stakeholder collaboration. Your main responsibilities will be:

Develop an integrated dashboard that combines cost, usage, repair, product, installed-base, and geographical data.

Analyze data to identify the highest-impact parts based on cost and usage.

Create drill-down functionality from global overviews to detailed part-level insights.

Build benchmarking views that enable comparison between similar populations and regions.

Translate analytical findings into actionable improvement opportunities.

Validate dashboard calculations, metrics, and data quality with stakeholders.

Document the solution and prepare recommendations for long-term adoption and maintenance.

This is a bachelor/master non-thesis internship for minimum 5 months, minimum of 4 days per week (3 days on-site). The start date of this internship is as of February 2027.

Your profile

To be suitable for the internship, you:

Are pursuing a bachelor's or master’s degree in business Intelligence, Data Analytics, Data Management, Business Analytics, Information Management, Industrial Engineering, Business Administration, or a related field.

Have experience with dashboard development using Power BI and Spotfire.

Have strong analytical and problem-solving skills.

Are able to translate business questions into clear and measurable insights.

Demonstrate a proactive and collaborative working style and can communicate effectively with different stakeholder groups.

This internship is suitable for students who enjoy combining technical analysis with business decision-making. You will work on a real business challenge and collaborate with stakeholders across operational, technical, and financial domains. If you are looking for a internship where you can create a lasting impact through data-driven insights, this opportunity offers a unique learning experience. Through this internship, you will gain exposure to analytics, visualization, stakeholder management, and continuous improvement in a global high-tech environment.

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 attach your cover letter with a clear motivation on why you are interested in this internship assignment in particular;

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.

Inclusion and diversity

Do you want to know more about the internship allowance, visa support and applying for an internship at ASML? Read this page .