Business Engineer - Manufacturing Data Analyst

ASML - Wilton, CT

Full-time - Mid Level

Wilton, CT

Machinery Manufacturing

About the position

The Manufacturing Data Analyst at ASML US plays a crucial role in enabling data-driven decision-making within a manufacturing environment. This position focuses on developing analytical solutions that enhance factory performance transparency and support long-term business objectives. The analyst will collaborate with various stakeholders, mentor junior team members, and utilize advanced analytics to identify patterns in product deviations, all while fostering a creative and dynamic work environment.

Responsibilities

• Manage stakeholder relationships with internal customers and suppliers.
• Translate internal customer demands into concrete requirements.
• Develop quality reports to make factory process performance transparent and actionable.
• Focus on customer experience, maintainability, and automation of analytical solutions.
• Collaborate across sectors to define, develop, and implement structural reporting.
• Mentor and coach junior team members within the Business Engineering team.
• Provide data-driven analysis to identify patterns in product deviations.
• Further develop analytical skills, business perspective, influencing skills, and project management capabilities.

Requirements

• BS degree in Data Science, Analytics, Engineering, Business, Finance, Computer Science or equivalent education experience.
• Minimum of 4+ years of working experience as a Data Analyst/Analytics Developer.
• Experience building analytical products for internal consumption (e.g., dashboards, automatic analysis, algorithms).
• Familiarity with IT systems in production control, preferably with Spotfire, Tableau, Power BI, SQL, and SAP.
• Experience with advanced analytics (e.g., Process Mining, Machine Learning, AI) or Industry 4.0 concepts is preferred.
• Strong internal stakeholder management skills.
• Experience in a manufacturing environment or semiconductor industry is a plus.
• Experience with Scrum/Agile methodologies is advantageous.

Nice-to-haves

• Experience with advanced analytics techniques such as machine learning and AI.
• Familiarity with Industry 4.0 concepts like digital twin and IoT.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional development and continuous learning.
• Flexible work environment that encourages creativity and innovation.