Analyst, Data & Analytics

Analyst, Data & Analytics

** Date:
** Jul 23, 2026

*
* Location:

** Corning, NY, US, 14831

** Company:
** Corning

Requisition Number: 76642

** 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 Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions 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 solutions for optical-based communications infrastructure for 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 individuals for their own use.

** Role Purpose*
* The Analyst, Forecasting & Analytics is on the Gorilla Glass Commercial Forecasting Team. You will model major OEM demand at the SKU level and maintain a rigorous record of the assumptions, drivers, and changes behind every forecast. You will be the team's source of truth for _why_ the number is the number - and the person who turns repetitive analytical work into automated, scalable tools that improve the forecast and the broader commercial function.

You will collaborate closely with Account Managers, Product Line Managers, Operations, Supply Chain, and Finance - translating market intelligence and customer signals into defensible forecasts that inform key business decisions.

** Key Responsibilities*
* + Model major OEM demand at the SKU level, building and maintaining detailed by-SKU forecasts for the team's largest customers.

+ Own the assumption log. Maintain a rigorous, auditable record of forecast assumptions, drivers, model changes, and revisions - so any number can be traced back to its inputs.

+ Maintain detailed SKU-level records for OEMs: shipment patterns, mix shifts, generation transitions, and customer-specific dynamics.

+ Use Python (or equivalent) to automate and streamline recurring analytical work across the forecasting team and adjacent commercial functions.

+ Apply advanced techniques - statistical modeling, time-series methods, machine-learning where appropriate - to improve forecast accuracy and decision support.

+ Analyze historical shipment data, market trends, and customer signals to surface patterns that inform forecasting models.

+ Collaborate cross-functionally with Account Managers, PLMs, Operations, Supply Chain, and Finance to validate assumptions and incorporate market intelligence.

+ Monitor and evaluate forecast accuracy; identify drivers of misses and implement model adjustments with documented rationale.

+ Communicate forecast results, assumptions, and risks to stakeholders clearly to support informed decisions.

+ Stay current on modeling techniques, tooling, and industry dynamics; bring useful approaches into the team's workflow.

+ Support process improvement that aligns commercial, operational, supply chain, and finance functions on a single forecast.

** Experiences/Education - Required*
* + Bachelor's degree in a quantitative discipline (Mathematics, Engineering, Economics, Statistics, Business Analytics, or related).

+ Minimum of 3 years of experience

+ Proficiency in Python (or another programming language) for data analysis, automation, and process improvement.

+ Strong Excel skills - comfortable with complex models, structured…