Manufacturing Data and Analytics Engineer

SCHOTT Advanced Optics is a valuable partner for developing products and customized solutions for applications in optics, astronomy, opto-electronics, augmented reality, life sciences, and research. With a portfolio of over 120 glasses, we master the value chain, from development to finishing and metrology.

• Lead manufacturing process analytics and continuous improvement initiatives using Lean, Six Sigma, DMAIC, DOE, and statistical methodologies to improve quality, yield, productivity, and process capability
• Analyze manufacturing, quality, maintenance, and supply chain data to identify trends, performance drivers, risks, and improvement opportunities
• Develop actionable insights and data-driven recommendations that support operational excellence and informed decision-making
• Partner with Engineering, Quality, Maintenance, Operations, and Data Analytics teams to ensure reliable and effective use of manufacturing data
• Support root cause investigations, process optimization efforts, and implementation of sustainable corrective and preventive actions
• Design, develop, and maintain reports, dashboards, performance metrics, and advanced analytics solutions to monitor operational performance
• Ensure data integrity, consistency, traceability, and accuracy through validation, monitoring, and troubleshooting of data systems and processes
• Establish and document data governance standards, user procedures, and best practices while training and supporting end users on manufacturing data tools
• Ensure compliance with data protection policies, IT/OT standards, company procedures, and applicable regulatory requirements
• Promote Environmental, Health, Safety (EHS), and Integrated Management System compliance through active participation in audits, certification activities, continuous improvement initiatives, and adherence to established standards
• Perform other duties as assigned

• Master's degree in Engineering, Computer Science, Industrial Engineering, Data Science, Analytics, or a related technical discipline required
• Minimum of 3-5 years of experience in manufacturing data analytics, production technology, smart manufacturing, business intelligence, or data engineering environments
• Demonstrated ability to leverage manufacturing data to improve operational performance, process capability, quality, and productivity
• Strong analytical and problem-solving skills with the ability to interpret complex data sets and translate findings into actionable business recommendations
• Experience with manufacturing systems, including MES platforms, SAP ERP/BI, process control systems, and industrial data environments
• Proficiency in data architecture, data modeling, SQL, data governance, and data quality management principles
• Working knowledge of advanced analytics methods, statistical analysis, predictive modeling, AI-enabled tools, and continuous improvement methodologies
• Experience applying Lean Manufacturing, Six Sigma, DMAIC, and Design of Experiments (DOE) principles in a manufacturing environment
• Excellent verbal and written communication skills with the ability to collaborate effectively across Operations, Engineering, Quality, Supply Chain, and IT functions
• Six Sigma Black Belt certification strongly preferred; additional experience in project management, digital transformation, or smart manufacturing initiatives is considered an asset
• Fluent English communication skills, both written and verbal
• Excellent healthcare benefits including medical, dental and vision
• Short and long term disability
• Paid time off
• Other supplemental benefits available upon election

* At SCHOTT, it’s your personality that counts – not your gender, your identity, or origin.