Manufacturing Business Intelligence Engineer at Corning – Wilmington, NC,
Listed on 2026-01-20
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IT/Tech
Data Analyst, Data Engineer
Manufacturing Business Intelligence Engineer at Corning – Wilmington, NC, US, 28405
Requisition Number: 67674
Corning is vital to progress – in the industries we help shape and in the world we share.
We invent life‑changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.
Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers.
The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end‑to‑end business processes and associated information integration technologies. Through these efforts, IT helps to improve the competitive position of Corning’s businesses through IT–enabled processes. IT also delivers Information Technology applications, infrastructure, and project services in a cost‑efficient manner to Corning worldwide.
Scope of Position:
The position will be responsible for analysis, design, development, implementation, and maintenance of data visualization and reporting systems for the Fiber manufacturing environment. In this capacity, they will work closely with engineering, operations, and business leaders in the Fiber plants to deliver manufacturing data and information.
Day to Day Responsibilities:
- Improve manufacturing performance by analyzing manufacturing processes and product data to build various reports and dashboards used by operational leaders to make key decisions.
- Have good knowledge of manufacturing processes to generate workflow reporting, scorecards, dashboards, summary, and detail reporting to provide insight into manufacturing productivity, backlogs, and outputs.
- Promptly address and resolve any data‑related reporting issues that arise during the manufacturing process.
- Provide off‑hours support for Division MI/Data systems based on rotation.
- Maintain close relationships with business personnel and Corporate IT to understand changing business requirements and drive adoption of standard reporting practices and systems.
- Require thorough understanding of data collected from the manufacturing process and how to analyze, organize, and present it to operations and engineering counterparts.
- Expertise for the development and maintenance of ancillary data feeds to reporting systems.
- Maintain architecture, standards, and performance of manufacturing data solutions for the fiber manufacturing division.
Required
Education and Experience:
- Bachelor’s in computer or data science, electrical, chemical, or industrial engineering.
- 5+ years of experience in business intelligence, data analytics, data science, or a related field.
Required Skills:
- Experience using Microsoft SQL Server Business Intelligence Development Studio.
- Experience developing reports and designs using SSRS.
- Experience in cube design and development using SSAS.
- Knowledge and experience in Power BI.
- Full life‑cycle experience in model, design, development of data warehouse/ETL/BI solutions.
- Strong back‑end development skills and knowledge of relational databases (Oracle, Microsoft SQL Server, or others).
- Build SQL to conduct statistical analysis.
- Knowledge of manufacturing KPIs, lean principles, and Six sigma methodologies.
Desired
Skills:
- Ability to generate workflow reporting, scorecards, dashboards, summary, and detail reporting to give good insights into manufacturing productivity, backlogs, and outputs.
- Ability to work with operations and engineering teams to define and understand business or operational requirements.
- Strong data analytics & exposure to digital tools related to cloud technology.
- Ability to comprehend one or more manufacturing processes and implement data‑driven solutions effectively within those processes.
- Possess knowledge in the design and implementation of cloud‑based data architectures for storage and processing of manufacturing data.
- Self‑discipline and motivation.
- Collaborate with multiple teams across multiple regions.
- Process oriented and customer focused.
- Able to communicate with…
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