Manufacturing Data Analyst

Requisition Number: 75553

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.


Our Solar business delivers industry leading, U.S.-made solar components. We manufacture hyper-pure polysilicon, high-quality solar wafers, and innovative photovoltaic modules, leveraging our leadership in advanced manufacturing to serve growing energy demand. You will be a part of advancing critical U.S. supply chains and delivering unmatched quality and reliability to customers.


Position Summary

The Data Analyst supports site operations by transforming data into actionable insights that drive informed decision-making across manufacturing, warehouse, and business functions. This role partners closely with site leadership, cross-functional teams, and IT to ensure the delivery of accurate, timely reporting, identify performance trends, and support continuous improvement initiatives. The Data Analyst plays a key role in enhancing operational visibility and enabling data-driven performance management.

The ideal candidate is highly analytical, detail-oriented, and effective at translating complex data into clear, meaningful insights for a broad range of stakeholders.

Key Responsibilities

• Collect, validate, analyze, and report data from manufacturing, warehouse, quality, and business systems to support operational decision-making

• Develop, maintain, and enhance recurring reports, dashboards, scorecards, and KPI tracking for site leadership and functional teams

• Identify trends, issues, and opportunities through routine and ad hoc analysis to support business decisions, root cause investigations, and process improvements

• Partner with operations, supply chain, quality, finance, and IT to improve data quality, reporting consistency, and issue resolution across systems

• Assist in defining reporting requirements, KPI standards, and documentation to enable sustainable, repeatable reporting processes

• Participate in projects related to operational excellence, digital transformation, and reporting enhancements

Required Qualifications

• Bachelor's degree in data Analytics, Business, Supply Chain, Industrial Engineering, Information Systems, or related field - or equivalent combination of education and experience

• 1-3 years of experience in data analysis, reporting, or business analytics

• Advanced proficiency in Microsoft Excel (formulas, pivot tables, charts, data analysis)

• Experience with reporting or data visualization tools (e.g., Power BI, Tableau, SAP reporting tools, or similar)

• Strong analytical and problem-solving skills with a high attention to detail and commitment to data accuracy

• Effective written and verbal communication skills

• Ability to manage multiple priorities in a fast-paced environment

Preferred Qualifications

• Experience in manufacturing, warehouse, supply chain, or plant environment

• Experience working with SAP, ERP systems, or operational reporting tools

• Familiarity with KPI reporting, plant performance metrics, SQL, data querying, or basic data modeling

• Exposure to Lean, Six Sigma, or continuous improvement methodologies

• Experience supporting cross-functional teams in an industrial or operations setting

Knowledge, Skills, and Abilities

• Proficiency in Microsoft Office, particularly Excel and PowerPoint

• Working knowledge of business intelligence and data visualization tools

• Ability to organize, interpret, and synthesize data from multiple sources

• Ability to work both independently and collaboratively across cross-functional teams

This position does not support immigration sponsorship.

The range for this position is $64,873.00 - $89,201.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.


A job that shapes a life.

Corning offers you the total package.

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

• Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
• As part of our commitment to your financial well-being, Corning provides company matching contributions to your 401(k) savings plan of up to 4% of pay when you contribute at least 6% of pay.
• Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at View email address on click.appcast.io.