Business Engineer - Manufacturing Data Analyst

Join ASML in Wilton, CT (onsite) to help enable data-driven decision making in manufacturing. In this Business Engineer - Manufacturing Data Analyst role, you will turn production and product performance data into clear, actionable reporting, supporting long-term business objectives while improving quality, maintainability, and automation of analytical solutions.

What you’ll do

• Manage stakeholders across internal customers and internal suppliers, translating customer demands into concrete requirements.
• Develop quality reports that make factory process performance transparent, delivering actionable insights by agreed timelines.
• Collaborate across sectors to define, develop, and implement structural reporting aligned to business goals.
• Perform data-driven analysis to identify patterns in product deviations.
• Focus on customer experience, maintainability, and automation in analytical solutions.
• Mentor and coach junior team members.
• Apply strong influencing, presenting, and project management skills while further developing analytical and business perspective.
• Bring creative and unique points of view to tasks, with flexibility and trust in how you tackle problems.

Required skills and experience

• Bachelor’s degree in Data Science, Analytics, Engineering, Business, Finance, Computer Science, or a related field with 3+ years of relevant experience, OR
• Master’s degree in the same fields with no prior professional experience required.
• Experience with IT-systems in production-control, preferably including Spotfire, Tableau, Power BI (Excel, SAP, SAP ME/BO, SAP HANA), and SQL.
• Ability to read and interpret data, information, and documents.
• Strong customer focus with commitment to prioritization, quality, efficiency, and professionalism.
• Attention to detail and high accuracy; strong analytical skills and ambition to continue developing.
• Proven effectiveness in a demanding environment with changing workloads and deadlines.
• Result-driven approach with ownership and accountability; ability to identify bottlenecks and drive improvements.
• Work independently or with a team, following through with minimal supervision.
• Open, clear, concise, professional communication and ability to build cooperative relationships.
• Ability to work according to strict procedures within provided timelines.
• Growth mindset and ability to learn and apply new information or skills.
• Ability to observe and respond to people and situations and interact professionally with others encountered in the course of work.

Preferred background

• Advanced analytics experience (e.g., Process Mining, Machine Learning, AI, Imagine recognition) and/or Industry 4.0 concepts (e.g., Digital twin, IoT, predictive/prescriptive manufacturing).
• Internal stakeholder management experience (plus).
• Manufacturing or semiconductor industry experience, including ASML experience (plus).
• Experience working with Scrum / Agile (advantageous).

Tools you may use

Spotfire, Tableau, Power BI, Excel, SAP, SAP ME/BO, SAP HANA, SQL, Process Mining, Machine Learning, AI, Imagine recognition, Digital twin, IoT

Benefits

• Medical, dental, vision, and basic life insurance.
• 401k plan.
• Eight (8) hours of vacation leave every month.
• Thirteen (13) paid holidays throughout the calendar year.

Work setup and physical requirements

• Onsite role within Office.
• Routinely required to sit, walk, talk, hear, use hands to keyboard, finger, handle, feel, and perform stoop, kneel, crouch, twist, reach, and stretch.
• Occasionally required to move around campus.
• Occasionally lift or move up to 20 pounds.
• Travel may be required depending on business needs.
• Specific vision abilities required: close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
• Potential exposure to strong magnetic fields, high voltage, and currents.

Inclusion and accommodations

ASML is an Equal Opportunity Employer and values a diverse and inclusive workforce. ASML provides reasonable accommodations to applicants and employees with disabilities. To request an accommodation related to the application process, contact [email protected].