Senior Data Analyst

ASML • San Diego, CA

3d

About The Position

Introduction to the Job 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. Role and Responsibilities 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 Haves

• Experience building predictive or statistical models using Python or Spotfire is preferred.

Responsibilities

• 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.

Benefits

• The Company offers employees and their families, medical, dental, vision, and basic life insurance.
• Employees are able to participate in the Company’s 401k plan.
• Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level