Manufacturing Data Analytics Engineer

SCHOTT AG

Duryea (Luzerne County)

On-site

USD 95,000 - 125,000

Full time

19 hours ago

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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