4 beste Stellen als student data science in berlin – aktuell auf Personalsuche

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Working Student - Distributor Product Data Improvement (m/f/d)

Corning -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 17 Stunden

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Power BI
Microsoft Excel

Vollständige Stellenbeschreibung

Date: Jun 8, 2026

Location: Berlin, DE, 10117

Company: Corning

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

Jetzt bewerben

Erweiterte Suche

student data science Jobs in berlin

Working Student - Distributor Product Data Improvement (m/f/d)

Werkstudent:in CRM & Marketing Automation (m/w/d)

Senior Consultant Accounting, Controlling & Gesamtbanksteuerung - FSI (m/w/d)

Working Student Data Engineer (all genders) - Cloud & Platform Engineering

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