Data Analyst

ASML • San Diego, CA

6d • $75,750 - $113,625

About The Position

As a Data Analytics Specialist, you will support ASML’s global factory performance by delivering clear, reliable data insights that help leaders make informed decisions. You will work closely with teams across the San Diego Factory, Cymer Factory, and Korea Factory to turn data into actionable insights that improve operational performance. In this role, you will build and maintain analytics solutions that help teams understand trends, identify risks, and drive continuous improvement. Your work will directly contribute to ASML’s mission to advance the world of semiconductor technology by enabling stronger, data‑driven decision making across our factories.

Requirements

• Bachelor’s degree in data science, business analytics, industrial engineering, computer science, or a related field.
• 3–5 years of experience in data analytics, business intelligence, or operations analytics.
• Hands‑on experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Experience working with enterprise data or planning systems such as SAP, Oracle, or comparable tools.
• Ability to communicate data insights clearly to both technical and non‑technical audiences.
• Strong analytical thinking and attention to detail.
• Collaborative mindset with the ability to work effectively across global teams.
• Proactive approach to identifying risks, trends, and improvement opportunities.
• Structured problem‑solving skills with a focus on actionable outcomes.
• Ability to manage multiple priorities in a fast‑paced environment.
• Strong organizational skills and a disciplined approach to data quality.
• Sound judgment when drawing conclusions and recommending actions.
• Continuous‑improvement mindset and willingness to learn new tools and methods
• Able to work under deadlines.
• Must be able to read and interpret data, documents, and information.
• Able to interact effectively with others and respond to situations as they arise.
• Able to learn and apply new information and skills.

Nice To Haves

• Experience with Python, Spotfire, or other analytical tools for statistical or predictive modeling is preferred.

Responsibilities

• Develop and maintain standardized dashboards, reports, and analytics models that support factory performance.
• Translate business questions into structured analytical outputs, insights, and recommendations.
• Perform descriptive, diagnostic, and predictive analysis to identify trends, risks, and improvement opportunities.
• Partner with IT, functional teams, and subject‑matter experts to improve data availability, quality, and consistency.
• Ensure accuracy and alignment of data across operational and performance dashboards.
• Support the development of weekly and monthly operating review materials using standardized data sources.
• Monitor and assess dashboard usage to help ensure analytics are driving meaningful business outcomes.
• Continuously improve analytical methods, tools, and reporting capabilities.

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