Purpose of Position
The Data Analytics Engineer will serve as an embedded analytics partner to process engineering teams, with primary responsibility for applying statistical analysis, data visualization, and data-driven problem solving to manufacturing and engineering challenges. This role will support Corning’s Reynosa region in the Optical Connectivity Solutions Division and interface globally, with a focus on helping manufacturing measure process performance, identify opportunities for improvement, and improve process control through effective use of data.

The role will primarily support multifiber connectorization processes within Corning’s data center business. The hire will work with manufacturing and quality data, especially manufacturing execution system data and part quality data from measurement equipment, to generate insights that support process understanding, operational improvements, and data-driven decision-making. The primary emphasis is on analytics, statistical thinking, and data visualization along with elements of machine learning, AI, and data engineering.





This individual will be expected to work independently in ambiguous problem spaces, partner closely with process engineers and other cross-functional stakeholders, and communicate findings clearly to technical and business audiences. In practice, the role will include both project-based analytical work and the development of dashboards and standardized reporting.
Key Responsibilities

Perform statistical analysis and interpret results to support manufacturing and engineering process improvement.
Partner closely with process engineers as an embedded analytics resource to investigate process behavior, document performance, and identify opportunities to reduce variability and improve control.
Prepare, clean, and organize data for analysis, including basic transformation and structuring of data from multiple sources.
Analyze existing manufacturing and quality datasets, with emphasis on MES data

📌 Data Analyst (México)
🏢 Corning
📍 México