Requisition Number:45195Corning is one of the world's leading innovators in materials sciencr more than years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people's lives.Corning succeeds through sustained investment in R and D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges.Our Optical Communications segment has recently evolvom being a manufacturer of opticber and cable, hardware and equipment to being a comprehensive provider of industry:Leading optical across the broader communications industry.This segment is classified into two main product groupings:Carrier network and enterprise network. The carrier network product group consists primarily of products and solutior optical:Based communications infrastructur services such as video, data and voice communications. The enterprise network product group consists primarily of optical:Based communication networks sold to businesses, governments and individuar their own use.Process Data Analytics EngineerDigital transformationReynosa,Supervisor:Process Engineering ManagerPosition Description:**Responsibilities**:- Drive data analytir the Division- Serve as data analyticsSME through the use of data collection, data analysis, and machine learning tools- Build and deploy data:Based moder use in process operational improvement- Leverage knowledom corporate resources through direct support and communities of practice- Provide guidance to other process engineers regarding data analytics best practices- Provide process direction and recommendatior data analytics- Identify areas of opportunir data reporting, analysis, and machine learning model building- Review results and provide interpretation to ensure validity- Recommend additional dar collection, and linkages between data sets- Leverage corporate data analytics teams to impact multiple areas as needed- Utilize, Review and Create queries, dashboards, and graphical visualizations to access and report data- Coordinate with data science team on existing dashboards / graphical visualizations and create new ones- Become proficient in using no code / low code to access data through the Databricks environment- Lead process improvement activities- Leverage data to determine improvement areas- Design and execute experiments to enable data:Based decisions- Implement to improve cost, capability and capacityTravel Requirements:Up toHours of work:- Monday throuiday, 8am to 5pm as a base schedule.- Schedule will need to exed periodically to accommodate other time zonesRequired Education:- Bachelor of Science in Engineering or equivalent- Masters degree preferredRequired Years and Area of Importante empresa:- 5:Years Importante empresa in plant engineering or an engineering support role to a manufacturing o