Working Student - Data analytics & Systems Integration iv)

#WeAreIn to create tiny chips and big careers. The future won't wait... why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?, * Establish connections: Enable software from different platforms to "talk to each other" using different protocols and APIs

• Lifelong learning: Design and develop interactive dashboards, reports, and visualizations using Tableau and similar tools to communicate insights to stakeholders
• Teamwork: Collaborate with cross-functional teams to integrate data insights into business decisions
• Take responsibility: Develop and maintain databases, data warehouses, and data pipelines to support data analysis. In addition, you provide data-driven recommendations to improve business processes and outcomes
• Focus on the future: Provide efficient resource manager tools with very good usability
• Expand your horizons: Work together with an international team located in different countries
• Communication and interfaces: Connect software and humans overstate-of-the-art communication channels and protocols and present data in a fast and digestible format to resource managers, * Working part-time: The focus is on studies. That's why working as a student employee during lecture period is limited to a maximum of 20 hours per week.
• Proper students (according to the German law) are welcome: To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree programme. You must not be in a semester of leave. We look forward to welcoming you to our team for at least 6 months.
• You should live close to the site: For good collaboration, it is important to us that you can come to the office regularly to integrate to the team.

Contact: Mayara Fortino

• Study field: You are currently enrolled in a degree program in Computer Science, Information Systems, or a related field
• Experience: You have proficiency in Tableau, including data connection, REST APIs, web interfaces, data blending, and data visualization. You have experience with data analysis and data mining. Experience with OPUS Klusa is a plus
• Programming skills: You have experience with programming languages such as C#, Python, R, or SQL, and knowledge of data governance and data quality principles
• Version Control Know-how: You are familiar with Git-based workflows and ideally have experience with platforms such as GitLab, GitHub, Bitbucket, or SVN
• AI & Modern Dev Tools Enthusiasm: You are eager to work with modern development tools such as VS Code and AI-assisted coding tools like GitHub Copilot, and stay up to date with modern software development practices
• CI/CD Awareness: You have a basic understanding of CI/CD pipelines, tools like Jenkins, and code quality platforms such as SonarQube or equivalent solutions
• Way of working: You are self-organized and work autonomously
• Language skills: You speak English fluently; German is a plus

Please attach the following documents to your application:

• CV in English
• Certificate of enrollment at university
• Latest grades transcript (not older than 6 months)
• High school report

Ingenious Technologies is a leading independent marketing technology provider. With the cloud-based Ingenious Enterprise platform, companies across all industries can aggregate, structure, enrich and analyse all marketing data collected. Thanks to real-time processing and a high level of automation, reliable data sets are available for clients to make agile marketing decisions.