Manufacturing Data and Analytics Engineer

SCHOTT AG; Duryea (Luzerne County); On-site; USD 95,000 - 125,000; Full time

Benefits offered by this job

Healthcare benefits

Short and long term disability

Paid time off

Supplemental benefits available

Job summary

SCHOTT Advanced Optics in the United States is seeking a Manufacturing Data Analytics professional to lead process analytics and continuous improvement programs. You will apply Lean, Six Sigma, DMAIC, DOE, and statistical methods to boost quality, yield, and productivity while delivering data-driven insights to guide decisions.

The role requires a Master’s degree in a technical field and 3–5 years in manufacturing analytics, with fluency in English.

Qualifications

• Master's degree in Engineering, Computer Science, Industrial Engineering, Data Science, Analytics, or a related technical discipline.
• 3–5 years of experience in manufacturing data analytics, production technology, or data engineering environments.
• Proven ability to leverage data to improve quality, yield, productivity, and operational performance.

Responsibilities

• Lead manufacturing process analytics and continuous improvement initiatives using Lean, Six Sigma, DMAIC, DOE, and statistical methods.
• Analyze manufacturing, quality, maintenance, and supply chain data to identify trends and risks.
• Develop data-driven insights and actionable recommendations for operational excellence.
• Collaborate with Engineering, Quality, Maintenance, Operations, and Data Analytics teams.
• Support root cause investigations and implement corrective actions.
• Design, develop, and maintain dashboards and reports to monitor performance
• Ensure data integrity, governance, and compliance with IT/OT standards
• Promote EHS and Integrated Management System compliance through audits and improvements

Skills

Lean Six Sigma

DMAIC

DOE

SQL

MES platforms

SAP ERP/BI

Education

Master's degree in Engineering

Tools

MES platforms

SAP ERP/BI

Process control systems

Industrial data environments

Job description

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.