Working Student - Testing data analytics iv)

#WeAreIn to create tiny chips and big careers. Are you ready to take the first step in your career? Let's shape the future together! 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?, * Data Structures: Analyze extensive legacy of data structures, while developing and owning Knime-based workflows

• Stakeholder Management: Interact with stakeholders to access needs and provide specific reports
• App Development: Contribute to the development of a new internal application for configuration management in a highly complex and dynamic environment
• Data Validation: Validate post-migration data and transfer it into new formats and data, * 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.

• Education: Enrolled in electrical Engineering, Computer science or similar
• Programming Skills: Proficiency with e.g. Python or other languages are needed
• Previous experience: Hands-on knowledge of Data Analysis, especially with working on structured data
• Way of Working: Curious and willingness to learn profile, for data topics, while being ready to take on new challenges
• Languages: Fluency in English. 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.