ASML is one of the world’s leading manufacturers of chip-making equipment.
Our vision is to enable affordable microelectronics that improve the quality of life. To achieve this, our mission is to invent, develop, manufacture and service advanced technology for high-tech lithography, metrology and software solutions for the semiconductor industry.
ASML's guiding principle is continuing Moore's Law towards ever smaller, cheaper, more powerful and energy-efficient semiconductors. This results in increasingly powerful and capable electronics that enable the world to progress within a multitude of fields, including healthcare, technology, communications, energy, mobility, and entertainment.
Working at ASML
We provide the world’s top chipmakers everything they need to create better performing, cheaper semiconductor chips. Simply put: we are an industry leader supporting industry leaders.
As such, you’ll be encouraged to bring your best ideas and act on them. You’ll have the freedom, trust, and support in your field to experiment and solve complex challenges. Things are rarely dull when you’re constantly breaking new ground.
But despite our fast-paced environment at the forefront of tech, we take your work-life balance and wellbeing seriously. A business is only as good as its employees.
So join us, and you’ll be a part of a global collaboration. One that promotes creativity, the inclusion of highly diverse teams, and an exciting and dynamic work environment. Join us, and you’ll be a part of progress.
Introduction
Do you enjoy deep-diving in odata, turn data into information, analyze and transform information into insights? Are you a pragmatic team player that likes to participate in solving challenges in a complex, high tech environment? Then you are a great candidate to become our new Data Analyst.
Job Mission
In the position of Data Analyst you will be working in 1 or 2 improvement teams with 2 engineers and a Project Leader. As Data Analyst you take responsibility:
· To find and combine (structured and unstructured) data, transfer it into information and insights (by applying different techniques), as foundation for successful structural improvement project execution
· Execute analysis and creating reports
Job Description
· Internal drive to “find the needle in the haystack”
· Skills and knowledge in Statistics, Business Intelligence and coding (e.g. R/SQL/Python).
· Presenting and explaining analytical problems, approach, results and recommendations
· Perform queries, run models, link analyses and insights to business/project results and prepare reports
· Collect, clean, organize (database knowledge) & analyze structured and unstructured data, transform it to information
Education
HBO / Master in Industrial Engineering, BI or similar.
Experience
· 2-5 years experience in working with data, techniques, analysis tools and statistics.
· Knowledge of Business intelligence, databases and techniques.
· Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, SQL, R, Python, etc)
· Knowledge of data modelling, cleansing and transformation
· Knowledge/understanding of complex production (control) processes, preferably in a high tech, low volume environment.
Personal skills
· Thinks creative, out of the box
· Pragmatic, pro-active, entrepreneurial.
· Team player, good social skills, customer-oriented
· Good communicative skills, including presentation skills.
Context of the position
· The sector Development & Engineering aims to increase product and process robustness in ASML by providing strong support in projects for new product introduction.
· The holder of this position reports to the manager of DE MA&I CSI Analytics
Please apply with your CV and cover letter by the 'apply' button below
Remember - you found this opportunity on Qreer.com
Education Backgrounds: |
Business Engineering Industrial Engineering Mechanical Engineering |
Specialties: |
Control systems Management Modeling Process Management Quality Engineering |
Education Level: |
Undergraduate (Bachelors) Postgraduate (Masters) Doctorate (PH.D) |
Experience: |
0 - 2 years 2 - 5 years 5 - 10 Years |
Languages spoken: |
English |
Job Location: | Veldhoven, Netherlands |
Type: Job
Deadline: 21st December 2024
Job reference (ID): 14754
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