Global Operations Center - IT and Data analyst- Taichung

Introduction to the job

Collaborates throughout a defined stakeholder network (usually within same department and covering lower Tier levels such as operational teams, project leads and subject matter experts) to execute business engineering processes and analyze data to identify process improvements. Coordinates the consolidation of data sources/input critical to report creation or management reviews.

Focuses on assignments; gets clearly defined tasks from own manager, stakeholders or a senior business engineer in the implementation of business engineering processes, improvement projects or analytics reports. Works under supervision.

Managing the health and operational excellence of GOC's dashboards. Handling all the data execution in the background via collaboration with central teams.

Role and responsibilities

Resource Management

Supports calculations related to well-defined quantitative models and trend analysis. Collects and validates information from several input sources (E.g. FTE data, labor hours, Cycle time).

Supports the preparation and execution of resource management reviews (e.g. blueprint revisions, norms reviews, Total Annual Plan)

Performance Management

Supports the preparation and execution of performance reviews, ensuring all information is consolidated and available on time. (Example: GOC OST ticket performance.)

Supports analysis and calculations of performance metrics using multiple sources and datasets.

Business Intelligence & Analytics Reporting

Creates and visualizes performance/trending/gap analysis/ad hoc reports.

Can support stakeholders requests with dashboards/business intelligence solutions (e.g. Excel, Power BI, Spotfire)

Process improvements / optimization

Analyzes data related to performance indicators, identifies trends and bottle necks, and provides insights into opportunities for improvement. Validates data quality with support of experts closer to the processes/sources (e.g. SAP)

Process & Knowledge Management

Supports process specialists and experts in documenting and maintaining standards connected to Business Engineering processes (e.g. norms, L5)

Creates and maintains work instructions for own scope, and ensures they are available in standard document management tools (e.g. Sharepoint, ARIS).

Project & Benefits Management

Participates in the implementation of improvements by providing analytical support. Works under guidance of project lead. Has limited experience with project management methodologies (E.g. ASML PM Method, SCRUM/Agile, PMI, DMAIC etc.)

Supports business case calculations to translate specific metrics into project benefits. Keeps monitoring them throughout time.

Continuous Improvement: Lean/Six Sigma

Supports lean experts and other stakeholders in combining data analytics with CI tools (E.g. VSM, Daily Management, Hoshin Kanri , Problem Solving tools A3/4C). Has basic knowledge of the fundamental concepts of Lean and Six Sigma (white belt or yellow belt level). Supports problem-solving teams in reviewing and validating process improvements.

Business Acumen & Business Partnering

Has basic understanding of the strategy and priorities of own department. Is aware of all business engineering processes within scope. Has limited practical experience with processes, KPIs, tools and systems within own department and other allocated departments.

Communication & Stakeholder Management

Keeps own stakeholders up to date regarding requests and progress.

Is aware of different communication channels (e.g. meetings, trainings, workshops, presentations).

Contributes and supports in setting up workshops and trainings.

Prepares input for presentations at senior levels.

Education and experience

University degree in Information technology, Engineering, Industrial Engineering, Operations, Supply Chain Management or Business Administration. Bachelor degree with no/limited experience.

Has professional knowledge of theory and practices of operations, data analytics, business management. Able to master coding well.

Skills

Technical & Analytical Skills

Data Analysis Fundamentals 

• Ability to analyze datasets, identify patterns, and derive insights
• Understanding of descriptive statistics (mean, median, variance, correlations)

SQL (Structured Query Language)

• Writing basic to intermediate queries
• Filtering, joining, grouping, aggregating data
• Familiarity with relational databases (e.g., MySQL, SQL Server, PostgreSQL)
   

Spreadsheets

• Strong Excel
• Functions like VLOOKUP/XLOOKUP, INDEX/MATCH, pivot tables, charts
• Basic data cleaning and formatting
   

Data Visualization Tools

• Experience with BI tools such as:
  • Microsoft Power BI
  • Tableau
  • Ability to build dashboards and simple reports
     

Programming

• Basic knowledge of Python or R for data analysis
• Familiarity with libraries like Pandas, NumPy, Matplotlib (if using Python)
   

Data Cleaning & Preparation

• Understanding how to handle missing values, duplicates, and inconsistent data
• Basic knowledge of ETL concepts is a plus
   

IT-Related Skills
Understanding of Databases & Data Structures

• Differences between relational and non-relational database
   

Familiarity with Cloud or Enterprise Tools (Bonus)

• Enterprise data platforms or warehousing tools

Basic IT Troubleshooting Mindset

• Understanding how systems connect
• Ability to investigate issues logically
   

Soft Skills

Communication Skills

• Explaining data insights in a simple, non-technical way
• Writing clear documentation and summaries

Problem-Solving

• Breaking down business questions into data tasks
• Logical, systematic thinking

Attention to Detail

• Spotting inconsistencies
• Ensuring data accuracy in reports

Team Collaboration

• Working with cross-functional teams (IT, finance, operations)
• Willingness to learn from senior analysts

Other information

• Knowledge of APIs and basic data integration
• Understanding of basic machine-learning concepts
• Familiarity with ticketing tools (Jira, ServiceNow)

This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

Inclusion and diversity

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.

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