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# Working Student Data Analytics

- **Company:** TK Elevator GmbH
- **Location:** Düsseldorf, Germany
- **Contract:** Internship / Graduate position
- **Skills:** Data Governance, Data Visualization, Python (Programming Language), Power BI, SQL Databases, Information Technology, Data Analytics, Data Management, Programming Languages
- **Published:** July 25, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=c3a8cef28b534edc

## About the Role

We are looking for a working student who wants to be part of a dynamic, digitally addicted, multicultural team to set up a data analytics structure in a live corporate environment. You will actively shape the digital transformation of our business, which has high management attention and dedication., * Advanced bachelor- or early master studies in the field of computer science, data science, statistics, or any equivalent field, who can support us for at least six months, preferrably longer.

 * Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
 * Experience in SQL is a must, experience with Python or a similar programming language is nice to have.
 * Experience in data visualization tools like PowerBI is a plus.
 * An experimental and entrepreneurial mindset and willingness to build things from scratch or optimize ones that already exist.
 * Fluent in spoken and written English. German is a plus.
 * Excellent communication and teamwork skills.
 * Prior internship or work experience in a related field is preferred.

## Description

* Collect, process, and analyze large and complex data sets.
 * Support the development and implementation of data analytics solutions.
 * Prepare presentations, reports, and visualizations to effectively communicate data findings to stakeholders.
 * Collaborate with other departments to provide data insights that inform decision-making and drive business outcomes.
 * Assist with data quality control processes and ensure accuracy and completeness of data.
 * Participate in data governance and data management initiatives.


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