Manufacturing Data and Analytics Engineer

Schott North America; Duryea (Luzerne County); Sur place; USD 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Excellent healthcare benefits

Disability coverage

Tuition reimbursement

Paid time off

Pet insurance

Other supplemental benefits

Résumé du poste

SCHOTT Advanced Optics seeks a data analytics professional to lead manufacturing analytics and continuous improvement across our U.S. operations. You will drive data-based insights and dashboards to improve quality, yield, productivity, and process capability.

You will collaborate with Engineering, Quality, Maintenance, Operations, and Data Analytics teams to ensure data integrity, governance, and the effective use of manufacturing data, applying Lean Six Sigma methods throughout.

Qualifications

• Master's degree required in engineering, CS, IE, data science, analytics, or related field.
• 3–5 years of experience in manufacturing data analytics, production technology, BI, or data engineering.
• Ability to translate data into actionable business recommendations.
• Experience with MES, SAP ERP/BI, process control systems, and industrial data environments.
• Six Sigma Black Belt is strongly preferred; project management or digital transformation experience is a plus.

Responsabilités

• 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, performance drivers, risks, and opportunities.
• Develop data-driven recommendations to support operational excellence and informed decisions.
• Partner with Engineering, Quality, Maintenance, Operations, and Data Analytics teams to ensure reliable data use.
• Support root cause investigations, optimization efforts, and corrective actions.
• Design, develop, and maintain reports, dashboards, and performance metrics for monitoring operations.
• Ensure data integrity, governance, and compliance with IT/OT standards and regulatory requirements.
• Promote EHS and Integrated Management System compliance through audits and continuous improvement.

Connaissances

Lean manufacturing

Six Sigma

DMAIC

DOE

Statistical analysis

Data analytics

Data visualization

SQL

Continuous improvement

Cross-functional collaboration

Formation

Master's degree

Outils

MES platforms

SAP ERP/BI

Process control systems

Industrial data environments

Description du poste

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

You can expect interesting tasks and challenging projects, as well as motivated and friendly teams in fields that influence our future.

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