About The Position

Introduction to the role The Senior Data Analyst will drive advanced analytics, build predictive models and dashboards to maintain the integrity of our Bill of Materials and Master Data attributes across our ERP landscape. Translating complex datasets into actionable insights for stakeholders across ASML. The role includes leading analytics initiatives, shaping data strategy, and mentoring junior analysts. Role and responsibilities Lead advanced analytics work, including statistical analysis, machine learning, and predictive modeling. Performing screening of engineering changes for release impact and quality of attributes & Bill of Materials before release for ordering/production. Build dashboards, visualizations, and data products that support strategic decision-making. Conduct full cycle data processing: preparation, cleansing, modeling, and reporting. Partner with cross functional stakeholders to clarify needs, challenge assumptions, and deliver data driven recommendations through engineering change releases. Contribute to the analytics roadmap and recommend improvements to tools and systems. Coach and mentor junior analysts, supporting capability growth across the team.

Requirements

  • BSc in Scientific or Technical field with a minimum of 5 years’ relevant experience
  • Demonstrated experience working with large datasets and delivering business relevant insights, working across departments, through resistance and challenging .
  • Proficient in SQL, Python, Power BI, Spotfire, SAP Analytic Cloud, SAP HANA, SAP ECC (S/4), and Microsoft office including (AI) .
  • Strong communication and stakeholder management skills.
  • Ability to independently lead mid‑sized analytics projects.
  • Qualified candidates must be legally authorized to access such controlled technology prior to beginning work.

Responsibilities

  • Lead advanced analytics work, including statistical analysis, machine learning, and predictive modeling.
  • Performing screening of engineering changes for release impact and quality of attributes & Bill of Materials before release for ordering/production.
  • Build dashboards, visualizations, and data products that support strategic decision-making.
  • Conduct full cycle data processing: preparation, cleansing, modeling, and reporting.
  • Partner with cross functional stakeholders to clarify needs, challenge assumptions, and deliver data driven recommendations through engineering change releases.
  • Contribute to the analytics roadmap and recommend improvements to tools and systems.
  • Coach and mentor junior analysts, supporting capability growth across the team.
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