Manufacturing Data and Analytics Engineer

SCHOTT AG; Duryea (Luzerne County); Presencial; USD 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Healthcare benefits

Disability insurance

Paid time off

Supplemental benefits

Resumo da oferta

SCHOTT Advanced Optics seeks a data analytics professional to lead analytics for manufacturing and continuous improvement initiatives. You will work across engineering, quality, maintenance, and operations to leverage data for performance gains and informed decision-making.

The role requires a Master’s degree in a technical field and 3–5 years in manufacturing data analytics, with strong SQL, BI, and DOE experience. Fluent English is essential; Six Sigma Black Belt is preferred.

Qualificações

• Master's degree in a technical field is required.
• 3–5 years of experience in manufacturing data analytics or related fields is required.
• Ability to translate complex data into actionable business recommendations.
• Experience with MES, SAP ERP/BI, and process control systems.
• Strong analytical and problem-solving skills.
• Experience with Lean, Six Sigma and DOE in manufacturing.
• Excellent communication skills across cross-functional teams.
• Six Sigma Black Belt preferred. Additional digital transformation experience is a plus.
• Fluent English (written and spoken).

Responsabilidades

• Lead manufacturing process analytics and continuous improvement initiatives using Lean, Six Sigma, DMAIC, DOE, and statistical methods 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 to support operational excellence and informed decision-making.
• Partner with Engineering, Quality, Maintenance, Operations, and Data Analytics teams to ensure reliable use of manufacturing data.
• Support root cause investigations and implementation of corrective and preventive actions.
• Design, develop, and maintain reports, dashboards, metrics, and analytics solutions to monitor operations.
• Ensure data integrity, traceability, and accuracy through validation and troubleshooting of data systems.
• Establish data governance standards and train end users on data tools.
• Ensure compliance with data protection policies and IT/OT standards.
• Promote EHS and Integrated Management System compliance through audits and continuous improvement.
• Perform other duties as assigned.

Conhecimentos

Manufacturing data analytics

Production technology

Smart manufacturing

Business intelligence

Data engineering

Formação académica

Master's degree in Engineering / Computer Science / Analytics

Ferramentas

MES platforms

SAP ERP/BI

Process control systems

Industrial data environments

Descrição da oferta de emprego

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


• 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.

Job Segment: Six Sigma Black Belt, Six Sigma, Lean Six Sigma, Supply Chain, Electronics Engineer, Management, Operations, Engineering