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As a Senior Data Analytics Specialist, you will help strengthen ASML’s global factory performance. You will provide clear data insights that support leaders across our San Diego Factory, Cymer Factory, and Korea Factory. Your work will enable smarter, faster, and more informed decisions. This work will directly support ASML’s mission to advance the world of semiconductor technology. In this role, you will develop high‑quality analytics solutions that help teams understand trends, identify risks, and drive continuous improvement. By shaping the way our factories access and use data, the Senior Data Analytics Specialist will play a key role in enabling operational excellence across the company.
Job Responsibility:
Deploy standardized dashboards, analytics models, and insights that support factory performance
Translate ambiguous business questions into structured analytical outputs and clear recommendations
Conduct predictive, descriptive, and diagnostic analysis to uncover trends and improvement opportunities
Partner with IT, functional teams, and business experts to improve data availability and quality
Ensure data accuracy, consistency, and alignment across performance dashboards
Lead the development of weekly and monthly operating review materials with standardized and reliable data
Develop methods to measure dashboard usage and ensure analytics drive real business outcomes
Requirements:
Bachelor’s degree in data science, business analytics, industrial engineering, computer science, or a related field
Minimum of five years of experience in data analytics, business intelligence, or operations analytics
Experience with data visualization tools such as Tableau, Power BI, or similar platforms
Experience working with data management or planning systems such as SAP, Oracle systems, or comparable tools
Communicate insights clearly to technical and non‑technical partners
Collaborate effectively across global teams
Analyze complex data and translate it into actionable insights
Work proactively to identify risks and opportunities
Solve problems with creativity and attention to detail
Adapt quickly within a fast‑paced, evolving environment
Organize multiple priorities with a structured and reliable approach
Build strong relationships with business leaders and technical teams
Apply sound judgment when recommending solutions
Maintain a continuous‑improvement mindset
Nice to have:
Experience building predictive or statistical models using Python or Spotfire is preferred