Manufacturing Data and Analytics Engineer

Schott Ag; Pennsylvania; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare benefits

Disability insurance

Paid time off

Dental and vision

Job summary

SCHOTT Advanced Optics seeks a data analytics lead to drive manufacturing analytics and continuous improvement. You will use Lean Six Sigma, DMAIC, and DOE to boost quality, yield, and productivity by analyzing manufacturing, quality, and supply data and turning insights into actionable recommendations.

You will collaborate with Engineering, Quality, Maintenance, Operations, and Data Analytics teams to ensure reliable use of data and govern data integrity and security across systems.

Qualifications

• Master's degree in Engineering, Computer Science, Industrial Engineering, Data Science, Analytics, or related technical field.
• Minimum 3–5 years in manufacturing data analytics, production tech, or BI environments.
• Experience leveraging data to improve performance, quality, and productivity.
• Strong analytical and problem solving with data.

Responsibilities

• Lead manufacturing process analytics and continuous improvement initiatives to improve quality, yield, productivity, and process capability.
• Analyze manufacturing, quality, maintenance, and supply data to identify trends and opportunities.
• Develop data-driven recommendations for operational excellence.
• Partner with Engineering, Quality, Maintenance, Operations, and Data Analytics teams.

Skills

Lean Six Sigma

DMAIC

DOE

Statistical analysis

SQL

MES platforms

SAP ERP/BI

Process control systems

Data governance

AI-enabled tools

Communication

Fluent English

Education

Master's degree in Engineering/CS/IE/Data Science

Tools

MES platforms

SAP ERP/BI

Process control systems

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

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