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# Manufacturing Data and Analytics Engineer

- **Company:** SCHOTT AG
- **Location:** Pittston, PA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Data Systems, Document-Oriented Databases, SAP ERP, SQL Databases, Technical Data Management Systems, Information Technology, Process Control Systems, Data Analytics
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/manufacturing-data-and-analytics-engineer-duryea-pa--acff7225-1edc-4c4b-904f-09e8af5e58f2

## About the Role

Data Analysis, Manufacturing Analysis, Biology, Astronomy, Product Development, Value Chain Model, Metrology, Optoelectronics, Optics, Scientific Research, * Masters 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

## Description

* 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