Manufacturing Data and Analytics Engineer

Job description

About us 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. Your Contribution 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 Your Profile 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 Your Benefits Excellent healthcare benefits including medical, dental and vision Short and long term disability Tuition reimbursement Paid time off Pet insurance Other supplemental benefits available upon election Please feel free to contact us You can expect interesting tasks and challenging projects, as well as motivated and friendly teams in fields that influence our future. Do you want to be successful with us? Then, please send us your application: SCHOTT North America, Inc., Human Resources, Kurt Johnson, +17172284231 *At SCHOTT, it’s your personality that counts – not your gender, your identity, or origin.