HR Data Analyst

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Introduction to the job

In the “Enabling Functions” sector, you may not come into direct contact with our products, but with your expertise you make a significant contribution to ensuring that our company runs smoothly. Only together with colleagues from these structured, high-performing, and supportive departments—such as Human Resources, Accounting, Controlling, IT, and Communications—are we able to grow beyond ourselves and achieve our goals as a company.

The need for reliable HR data and actionable workforce insights is growing. We are looking for an energetic and hands‑on HR Data Analyst who can turn complex HR data into clear insights and practical reporting solutions. You will work in a small, collaborative team across the full analytics process. The position is initially limited to two years, with the possibility that a longer‑term opportunity may arise.

Role and responsibilities

In People Analytics, we turn ASML’s workforce data into actionable insights. You will combine hands‑on data work with a strong understanding of stakeholder needs, balancing the development of new analytical solutions with recurring reporting activities.

As an HR Data Analyst, you will:

• manage the end‑to‑end HR data analytics process, from understanding stakeholder needs and identifying relevant data sources to preparing, analyzing, and visualizing data.
• analyze HR data on topics such as workforce capacity, talent acquisition, absences, compensation, and diversity, and translate relevant trends and patterns into clear insights, visualizations, and reports for internal stakeholders.
• develop and maintain reports, dashboards, forecasts, and ad hoc analyses for HR and other internal stakeholders.
• identify and implement suitable technical solutions for data preparation, analytics, reporting, and visualization, including the improvement of data flows and reporting structures.
• improve the standardization, simplification, automation, and efficiency of HR reporting and analytics.
• enable internal stakeholders to understand dashboards and analytical results and use the available insights effectively for their business questions.

Education and experience

• University degree in business administration, economics, sociology, psychology, data science or another field with a strong analytical or research component.