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Day 83
Up longer than most. Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
Manufacturing- Data Analytics- Tainan
Tainan, Taiwan
Live, first seen by us 83 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingAnalyze large datasets to find trends, risks and improvement opportunities
Develop and implement scalable AI solutions for efficiency, quality and decisions
Design, build and maintain dashboards, reports and analytics tools
Drive proof-of-concept, pilot and industrialization of digital solutions
Translate business requirements into technical solutions with cross-functional teams
From the employer’s posting
Analyze large datasets to identify trends, risks, and improvement opportunities.
Develop and implement scalable AI solutions to improve operational efficiency, quality, and decision-making.
Design, develop, and maintain dashboards, reports, and analytics tools to enhance visibility and operational insights.
Drive proof-of-concept (PoC), pilot projects, and industrialization of digital solutions from ideation to deployment.
Collaborate with cross-functional stakeholders to translate business requirements into technical solutions.
What you’ll bring
All qualificationsCore experience
- Bachelor’s or Master's degree in Engineering, Computer Science, Data Science, Information Technology, Automation, or related disciplines.
- Experience delivering AI solutions from concept through production deployment.
- Knowledge of AI/ML concepts and practical applications in manufacturing or business processes.
- Experience in data analytics, automation, or digital transformation projects.
- Familiarity with agile development and project management methodologies.
- Experience with one or more of the following: Python / SQL/ Power BI/ Microsoft Power Platform / Machine Learning frameworks /Computer Vision solutions / Microsoft Copilot / AI Agent technologies
Qualification wording
Bachelor’s or Master's degree in Engineering, Computer Science, Data Science, Information Technology, Automation, or related disciplines.
Experience delivering AI solutions from concept through production deployment.
Knowledge of AI/ML concepts and practical applications in manufacturing or business processes.
Experience in data analytics, automation, or digital transformation projects.
Familiarity with agile development and project management methodologies.
Experience with one or more of the following: Python / SQL/ Power BI/ Microsoft Power Platform / Machine Learning frameworks /Computer Vision solutions / Microsoft Copilot / AI Agent technologies
Education & alternatives
Education and experience - Bachelor’s or Master's degree in Engineering, Computer Science, Data Science, Information Technology, Automation, or related disciplines. - Experience in data analytics, automation, or digital transformation projects.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 13, 202683 days ago
- Recorded sightings
- 261
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Jul 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
ASML Holding is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Analyst hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Power BI
Where the posting names them
- Knowledge of AI/ML concepts and practical applications in manufacturing or business processes. - Experience with one or more of the following: Python / SQL/ Power BI/ Microsoft Power Platform / Machine Learning frameworks /Computer Vision solutions / Microsoft Copilot / AI Agent technologies - Strong analytical and problem-solving skills.
- Process Mining and Workflow Automation - Azure AI Services or Microsoft AI ecosystem - Experience delivering AI solutions from concept through production deployment.
Your next step
Complete your application on asml.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
Introduction to the job
The Means & Methods (M&M) team is driving digital transformation across manufacturing operations by leveraging data, automation, and Artificial Intelligence to improve productivity, quality, and decision-making.
We are looking for a highly motivated engineer who is passionate about applying AI and digital technologies to solve real manufacturing challenges. In this role, you will work closely with manufacturing, engineering, IT, and global stakeholders to develop scalable solutions that transform the shopfloor and business processes.
Role and responsibilities
Provide support in insight generation, data analytics, and digital transformation projects across manufacturing operations.
Develop and implement scalable AI solutions to improve operational efficiency, quality, and decision-making.
Lead or support AI-driven initiatives, including:
AI Visual Inspection
Microsoft Copilot Agents and Agentic AI solutions
Knowledge Management platforms and enterprise search solutions
Predictive Analytics and data-driven decision support
Process Automation and workflow digitization
Analyze large datasets to identify trends, risks, and improvement opportunities.
Collaborate with cross-functional stakeholders to translate business requirements into technical solutions.
Design, develop, and maintain dashboards, reports, and analytics tools to enhance visibility and operational insights.
Drive proof-of-concept (PoC), pilot projects, and industrialization of digital solutions from ideation to deployment.
Support continuous improvement initiatives by leveraging emerging technologies such as AI, machine learning, computer vision, and automation platforms.
Promote data governance, solution scalability, and best practices in digital manufacturing.
Education and experience
- Bachelor’s or Master's degree in Engineering, Computer Science, Data Science, Information Technology, Automation, or related disciplines.
- Experience in data analytics, automation, or digital transformation projects.
- Experience in manufacturing, semiconductor, or high-tech industries.
- Hands-on experience with:
- Computer Vision and AI Visual Inspection
- Predictive Maintenance or Predictive Analytics
- Generative AI and Knowledge Management solutions
- Process Mining and Workflow Automation
- Azure AI Services or Microsoft AI ecosystem
- Experience delivering AI solutions from concept through production deployment.
- Familiarity with agile development and project management methodologies.
Skills
- Knowledge of AI/ML concepts and practical applications in manufacturing or business processes.
- Experience with one or more of the following: Python / SQL/ Power BI/ Microsoft Power Platform / Machine Learning frameworks /Computer Vision solutions / Microsoft Copilot / AI Agent technologies
- Strong analytical and problem-solving skills.
- Ability to work independently and in cross-functional international teams.
- Strong communication skills in English.
Other information
- Opportunity to shape the future of digital manufacturing.
- Exposure to cutting-edge AI, automation, and analytics technologies.
- Collaboration with global engineering, manufacturing, and digital transformation teams.
- A dynamic environment where innovation and continuous learning are encouraged.
- The opportunity to create solutions that directly impact manufacturing performance, quality, and operational excellence.
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.
Need to know more about applying for a job at ASML? Read our frequently asked questions.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Tainan, Taiwan
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.