Learning Analytics & Automation Intern - Data Science

ASML US, LP. (US30); Veldhoven; On-site; EUR 6,700 - 8,900; Full time

Job summary

ASML US, LP. (US30) in Veldhoven is offering a bachelor/master thesis internship focused on learning analytics. You will build data-driven insights and automation for training effectiveness, engagement, and reporting efficiency.

The role emphasizes developing dashboards and sustainable analytics solutions in collaboration with stakeholders. The internship spans at least 5 months, with 4 days per week (3 days on-site).

Qualifications

• Enrolled in a bachelor’s or master’s degree in a data-related field.
• Experience with dashboard development and Power BI/Excel.
• Basic scripting/automation in Python; KNIME/Power Automate is a plus.
• Excellent English communication and ability to explain insights to varied audiences.
• Willing to work 4 days per week (3 on-site) for a minimum of 5 months.

Responsibilities

• Analyze training catalog data, learning needs, and participation metrics.
• Investigate existing reporting tools, systems and data sources.
• Identify opportunities to improve reporting efficiency through automation.
• Develop dashboards and automated reporting solutions.
• Advise on suitable reporting methods and process improvements.
• Translate data insights into actionable recommendations for stakeholders.
• Document solutions and create handover materials for sustainability.

Skills

Dashboard development

Data visualization

English fluency

Independence

Education

Bachelor’s or Master’s in Data Science / Analytics / Information Management / Computer Science

Tools

Power BI

Excel (Macros/VBA)

KNIME

Power Automate

Python

Job description

ASML US, LP. (US30) in Veldhoven is offering a bachelor/master thesis internship focused on learning analytics. You will build data-driven insights and automation for training effectiveness, engagement, and reporting efficiency.

The role emphasizes developing dashboards and sustainable analytics solutions in collaboration with stakeholders. The internship spans at least 5 months, with 4 days per week (3 days on-site).