Requisition Number: 75436
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.
For our Berlin Headquarter we are currently looking for a Working Student – Distributor Product Data Improvement (m/f/d)
Your Responsibilities:
- Support the improvement of product data quality across multiple systems by analyzing data sets, identifying gaps, and contributing to structured data updates for key products
- Work closely with different teams to ensure product information is correct, complete, and consistent, helping to prepare datasets that can be used reliably in our distribution channels
- Contribute to building transparency and simple data tools (e.g. dashboards) while supporting ongoing improvement initiatives in data analytics and process efficiency
- Usage of AI capabilities to increase effectiveness of current processes
Our Requirements:
- You are currently enrolled at a university, preferably in Business Administration, Data Analytics, or a comparable degree programme
- You have a strong analytical mindset and great attention to detail
- You work in a structured and proactive manner, even when handling multiple tasks in parallel
- You have strong Excel skills and are eager to work with data and dashboards
- You have an interest in data analytics, digital tools, and process improvement
- You are fluent in both German and English (written and spoken) and are comfortable working across different teams
- You are available to work 20 hours per week during the semester and up to 40 hours per week during semester breaks
We offer:
- Opportunity to work on a high-impact, strategic initiative with direct business relevance
- Exposure to cross-functional collaboration across product, operations, and commercial teams
- Hands-on experience in data analytics tools (e.g. Power BI, Databricks, Copilot-based Agents)
- Ability to take ownership of independent workstreams after onboarding
- Dynamic and international working environment in Berlin
- Opportunity for long-term development and potential full-time career path
- Attractive hourly wage and flexible working hours
