Introduction
The DUV organization at ASML is focused on improving operational excellence and supporting effective root cause analysis for product issues. Within this team, you will contribute to enhancing data quality, reporting consistency, and data-driven decision-making across multiple business functions. You will collaborate with colleagues from engineering, supply chain, and customer support to improve data visibility and process efficiency. Thisinternship offers the opportunity to gain hands-on experience in a high-tech, international environment while helping to optimize critical business processes.
Your assignment
As part of thisinternship, you will support initiatives focused on improving data quality, reporting effectiveness, and automation opportunities. You will work with data from various business processes and help transform information into actionable insights for stakeholders. This internship provides exposure to cross-functional collaboration and continuous improvement projects. Your main responsibilities will be:
- Analyze datasets to identify data quality issues and improvement opportunities.
- Perform data validation and feasibility studies to support process improvements.
- Collaborate with stakeholders to increase automation and improve data visibility.
- Support reporting activities by gathering, structuring, and analyzing operational data.
- Investigate inconsistencies across reports and dashboards and propose improvements.
- Develop recommendations to enhance data accuracy, consistency, and usability.
- Present findings and insights to stakeholders in a clear and structured manner.
This is a bachelor (HBO) / MBO non-thesis internship for minimum 6 months, minimum 4 days per week (3 days on-site). The start date of this internship is as of February 2027, although an earlier start date is possible.
Your profile
To be suitable for the internship, you:
- Are pursuing a bachelor’s degree in Data Analytics, Engineering, Industrial Engineering, Business Engineering, Technical Business Administration, or a related field.
- Have knowledge of Microsoft Excel and basic data analysis principles.
- Communicate effectively in English, both verbally and in writing.
- Demonstrate an analytical and logical approach to solving problems.
- Are proactive, collaborative, and comfortable working with different stakeholders.
Nice to have:
- Knowledge of data visualization or reporting tools.
- Experience with enterprise data systems.
- Familiarity with Power BI or similar analytics platforms.
Please note that we can only consider students who remain enrolled at their educational institution throughout the entire internship period.
At ASML, we believe that diverse perspectives drive innovation. We welcome applications from students of all backgrounds and experiences and are committed to creating an inclusive environment where everyone can contribute and grow.
Thisinternship offers the opportunity to build practical experience, develop professional skills, and contribute to meaningful improvements within a global technology leader. Through this internship, you will gain valuable insights into data-driven operations while working alongside experienced professionals in a collaborative environment.
This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.
Inclusion and diversity
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
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