Business Engineer - Manufacturing Data Analyst

External Job Description

Introduction to the job

ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon.

• Do you want to enable data driven decision making in a manufacturing environment?

• Do you possess a keen eye for detail as well as a birds eye view on the production process? 

• Do you have the ambition to build world class analytical solutions to drive ASML towards industry 4.0?

Then you are the candidate we are looking for to join the Business Engineering team as Manufacturing Data Analyst!

Please apply and challenge us to hire YOU!

Must be authorized for employment in the US without requiring sponsorship now or in the future.

Role and responsibilities

• You will have strong stakeholder management skills both towards internal customers and internal suppliers.

• You are able to translate internal customer demands into concrete requirements.

• You develop quality reports to make the performance of factory processes transparent, translating data into actionable insights following agreed timelines.

• You focus on customer experience, maintainability and automation of your analytical solutions.

• Collaborate across sectors to define, develop, and implement structural reporting that supports long-term business objectives.

• Be a Mentor/Coach within the team for more junior level team members

• Provide data-driven analysis to support identification of patterns in product deviations.

• In this position you will be able to further develop your analytical skills, business perspective, influencing skills, presenting techniques and project management capabilities.

• There is always space for creative and unique points of view. You will have the flexibility and trust to choose how best to tackle tasks and solve problems.

Education and experience

• BS degree in Data Science, Analytics, Engineering, Business, Finance, Computer Science or equivalent education experience.

• ​2+ years of working experience as a Data Analyst/Analytics Developer including experience building Analytical products for internal consumption(E.g. Dashboards, automatic analysis, algorithms,).

• Experienced with IT-systems in the area of production-control, preferably with Spotfire, Tableau, Power BI (Excel, SAP, SAP ME/BO, SAP HANA ), SQL.

• Experience with advanced analytics (e.g. Process Mining, Machine Learning, AI, Imagine recognition, etc) or Industry 4.0 concepts (Digital twin, IOT, predictive/prescriptive manufacturing) preferred.

• Skilled with internal stakeholder management.

• Experience within a manufacturing environment or semi-conductor industry including ASML experience is a plus.

• Experience with Scrum/Agile way of working is advantageous.

Skills

Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems.

To thrive in this job, you’ll need the following skills:

• Can observe and respond to people and situations and interact with others encountered in the course of work.  

• Can learn and apply new information or skills. 

• Must be able to read and interpret data, information, and documents.

• Strong customer focus and commitment to customer satisfaction through prioritization, quality, efficiency and professionalism.

• Ability to complete assignments with attention to detail and high degree of accuracy. 

• Proven ability to perform effectively in a demanding environment with changing workloads and deadlines. 

• Result driven-demonstrate ownership and accountability.

• Identifies bottlenecks and drives improvements.