Business Analyst for Digitalization and Generative AI
vor 1 Woche
We are seeking a highly motivated and detail-oriented Working Student to support our team in assessing our current Research and Development processes, identifying areas for improvement, and uncovering digitalization opportunities.
Key Responsibilities:- Assess and Improve R&D Processes: Collaborate with our team to evaluate our current Research and Development processes, identify areas for improvement, and develop strategies for digitalization.
- Drive Digitalization: Identify, define, and prioritize digitalization use cases with a focus on Generative AI, and develop business cases and cost-benefit analyses for proposed initiatives.
- Evaluate Opportunities: Develop and present findings and recommendations to stakeholders through reports and presentations.
- Support Team: Document and communicate findings and recommendations to stakeholders through reports and presentations.
- Study Field: Currently studying Business Administration, Computer Science, Data Science, Industrial Engineering, Physics, or similar.
- Experience: Familiarity with digital technologies and experience in business analytics or data science.
- Generative AI: Gathered first experiences with AI and Generative AI.
- Way of Working: Enjoy working in a team and able to work independently.
- Personality: Analytical, problem-solving, and communicative mindset.
- Skills: Proficient with MS Office tools, such as Excel, Word, and PowerPoint. Knowledge of common programming languages like Python or R is a plus.
- Availability: Preferably work 16-20 hours per week.
- Language Skills: Good English skills, both written and spoken. 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
Important Information:
- Working Part-time: The focus is on studies. Therefore, working student is possible during the lecture period with a maximum of 20 hours per week.
- Proper Students: Welcome You must be enrolled, and the examination results or modules of your studies must not have been completed yet, so that you can still work in our team for at least 6 months. You must also not be in a semester of leave.
- You Should Live Close to the Site: It is important for us to work with you on site and to integrate you into the team. You should therefore be able to come to the site regularly.
We offer a wide range of benefits, including coaching, mentoring, and networking possibilities, as well as flexible working conditions and home office options. We are committed to diversity and inclusion and welcome everyone for who they are.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
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