Manufacturing Analytics & Process Improvement Engineer

SCHOTT AG

Duryea (Luzerne County)

On-site

USD 90,000 - 130,000

Full time

3 days ago

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Benefits offered by this job

Healthcare benefits

Disability insurance

Paid time off

Supplemental benefits

Job summary

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.

Qualifications

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).

Responsibilities

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.