Quality Data & Analytics Engineer

Requisition Number: 74055

The company built on breakthroughs.

Join us.

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.

How do we do this? With our people. They break through limitations and expectations- not once in a career, but every day. They help move our company,and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

Corning's businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with:

• Trusted products that accelerate drug discovery, development, and delivery to save lives
• Damage-resistant cover glass to enhance the devices that keep us connected
• Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
• Precision glass for advanced displays to deliver richer experiences
• Auto glass and ceramics to drive cleaner, safer, and smarter transportation
• Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

Role purpose:

The Division Quality Data & Analytics Engineer bridges industrial engineering, manufacturing, and data systems. Unlike traditional IT roles, this position requires hands-on manufacturing experience and technical skills to turn fragmented data into actionable insights that improve quality and operations. The ideal candidate possesses extensive hands-on manufacturing expertise, paired with an industrial engineering perspective. They are highly skilled in Power BI, PowerApps, and the Microsoft Power Platform, enabling them to create and manage interactive dashboards, automated workflows, and advanced analytics tailored specifically for manufacturing settings. Additionally, this engineer should be able to see beyond current data sources-spotting areas where information may be missing or incomplete-and design new data pipelines, collection strategies, and integrations from scratch.

Key responsibilities:

Design and manage Power Platform solutions-including Power BI dashboards, PowerApps, and automated workflows-to support QMS and PEX operations. Translate complex manufacturing data into clear visualizations for all stakeholders using SalesForce, ETQ, SAP, and MES.

• Identify, assess, and close data gaps - proactively evaluate existing data sources across the quality, identify where critical data is missing, poorly structured, or uncaptured, and engineer new data collection methods, pipelines, and integrations to fill those gaps
• Use an industrial engineering perspective in data analysis by drawing on expertise in manufacturing processes, process control, OEE, yield analysis, cycle time, and reducing variation. This approach helps ensure that analytics results are practical and lead to real improvements in operations.
• Conduct comprehensive data analyses supporting continuous improvement initiatives, collaborating with process engineering and quality teams to identify root causes, track performance trends, and validate improvement outcomes
• Facilitate the integration of quality and production processes within ERP and MES systems to enhance system functionality, streamline data workflows, and improve overall manufacturing performance
• Champion the adoption and adherence to QMS and CI best practices across sites, serving as a subject matter expert (SME) for data-driven decision-making, process optimization, and analytical best practices
• Leverage artificial intelligence (AI) and emerging technologies to innovate, solve complex quality and operational challenges, and continuously advance data accuracy and efficiency across the division
• Lead projects for implementing new QMS, analytics, and continuous improvement software, ensuring seamless integration with existing systems and alignment with evolving business needs - from requirements gathering through go-live and sustainment
• Proactively identify and resolve application-related issues (break/fix), maintaining the reliability, accuracy, and effectiveness of quality and manufacturing data systems across all supported sites

Required Skills:

• Manufacturing fluency - understanding of manufacturing processes, quality systems, and operational workflows, able to translate floor-level needs into structured data requirements
• Power BI proficiency - advanced skill in developing interactive, multi-source dashboards and reports that communicate complex manufacturing data clearly to diverse audiences
• PowerApps and Power Automate - experienced in building workflow automation and custom applications that support quality and operations teams
• Data source architecture and pipeline development - ability to identify missing data, design new collection structures, and build integrations that bring previously uncaptured information into analytics platforms
• Systems integration knowledge - skilled in connecting and harmonizing data streams from ERP, MES, QMS, and shop floor data collection systems into unified, reliable reporting environments
• Data management - skilled in collecting, cleaning, organizing, and maintaining accurate large-scale manufacturing data sets with high attention to data integrity
• Database systems and data architecture - knowledgeable in relational database concepts, data modeling, and architecture principles that support scalable analytics solutions
• AI and emerging technology adoption - actively utilizes AI tools and new technologies to innovate data workflows, improve accuracy, and solve complex manufacturing and quality challenges
• Project leadership - experienced in managing data and systems projects independently, setting priorities, coordinating cross-functional stakeholders, and delivering results on time
• Cross-functional collaboration - highly effective working partner for process engineering, quality, operations, and IT teams - able to speak the language of the floor and the language of data with equal credibility

Desired Skills:

• Lean / Six Sigma Green Belt or Black Belt - strongly preferred; the ability to