Working Student (f/m/d) - SI Transformation Office Data Analyst

Aufgaben:

You support the Program Management Office in creating transparency around facts and figures related to our projects and programs, utilizing automation solutions to streamline processes By working with SharePoint, Power Apps, and Power Automate, you help develop and optimize workflows and digital solutions, while also assisting in the creation of Power BI reports for data-driven decision-making Furthermore, you apply your knowledge of Python, using libraries such as pandas, NumPy, SharePlum, selenium, and openpyxl to contribute to data analysis, Excel processing, and SharePoint interactions In addition, you help the team navigate their projects and identify tailored solutions for business units, ensuring the transformation progresses effectively

Qualifikation:

Education : You are currently enrolled in a relevant degree program, such as Computer Science, Mathematics, Process Management, Information Science or a similar IT-related field Experience and Skills : You have knowledge of programming languages, especially Python Ideally, you already have experience with automation solutions such as PowerApps, Power Automate and visualization tools like Power BI You are proficient in using Microsoft Office, particularly Excel and PowerPoint Ways of Working : You demonstrate reliability, strong problem-solving skills, and outstanding collaborative and communication abilities within international teams Languages : You have excellent English skills; German language skills are an advantage

Über Uns:

At Siemens, we believe that feeling valued and included is the foundation for doing great work. That's why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant. The world never stands still. And new challenges arise every day. With a passion for questioning things, for supplying ideas, and intelligently driving things forward we are helping society move towards a smarter tomorrow. Be it with technologies that reduce carbon emissions in cities or hyperintelligent robots. This is how we are able, to tackle the most important projects and push them forward together. Help us shape the future.