IT Working Student (Documentation, Data Analytics & Project Management) (m/f/d)

Job description

Requisition Number: 77932 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. We are looking for a motivated IT Working Student to support our IT team in documentation, data analytics, and project management activities. This role is ideal for a student pursuing a degree in Information Technology, Computer Science, Data Science, Business Informatics, or a related field who is interested in gaining practical experience in digital transformation, AI, and IT operations. The successful candidate will help improve documentation quality, analyze data to support decision-making, contribute to AI-related initiatives, and assist project managers in coordinating activities across multiple stakeholders. Key Responsibilities Documentation & Knowledge Management Create, maintain, and improve IT process documentation, work instructions, and technical guides. Support the development of knowledge bases, SharePoint sites, and project documentation repositories. Ensure documentation is accurate, structured, and aligned with organizational standards. Assist in preparing presentations, reports, and management summaries. Data Analytics & Reporting Collect, clean, and analyze data from multiple IT systems and sources. Develop dashboards, reports, and visualizations using tools such as Power BI or Excel. Support KPI tracking and performance reporting. Identify trends and provide insights to support business and IT decisions. AI & Digitalization Support Assist with AI-related use cases, proof-of-concepts, and automation initiatives. Support the evaluation and adoption of Generative AI tools and data-driven solutions. Help prepare datasets and documentation for AI projects. Research emerging AI technologies and industry best practices. Project Management Support Assist project managers with project planning, tracking, and coordination. Maintain action item lists, project schedules, and status reports. Support meeting preparation, documentation, and follow-up activities. Coordinate communication between technical teams and business stakeholders. Required Qualifications Currently enrolled in a Bachelor's or Master's degree program in: Computer Science Information Technology Business Informatics Data Science Engineering or related discipline Basic understanding of IT infrastructure, applications, and business processes. Strong analytical and problem-solving skills. Excellent written and verbal communication skills in English. Ability to work independently and collaboratively in a global environment. Preferred Qualifications Initial experience with AI/Generative AI tools such as Microsoft Copilot, ChatGPT, Azure AI, or similar technologies. Knowledge of data analytics tools such as Power BI, SQL, Python, Excel, or Tableau. Experience with Microsoft 365, SharePoint, Teams, and project collaboration tools. Understanding of project management methodologies (Agile, Scrum, Waterfall). Exposure to automation technologies and data visualization concepts. Desired Skills Strong attention to detail and documentation discipline. Data-driven mindset with an interest in analytics. Curiosity for AI and emerging technologies. Excellent organizational and time management skills. Ability to communicate technical concepts clearly to both technical and non-technical audiences. Proactive, self-motivated, and eager to learn.