Working Student Data Analytics & IT Automation

Siemens AG
München, Germany
7 days ago
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Role details

Contract type
Temporary contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English

Tech stack

Microsoft Excel Big Data Information Systems Data Structures Data Visualization Information Technology Operations Power BI Microsoft Power Automate Information Technology Data Analytics

Job description

Working Student (f/m/d) Data Analytics & IT Automation Mode of Employment: Fixed Term / Part-Time; (15-20 hours / week) Ready to turn data into impactful decisions and drive innovation? Join us in Munich as a Working Student Data Analytics & IT Automation (f/m/d) and help shape the future of IT operations with your ideas, analytical skills, and passion for automation! Connect, learn, and grow with our Working Student Network - your space to exchange ideas, build meaningful relationships, and navigate your Siemens journey. You’ll make an impact by You support the development and enhancement of Power BI dashboards and reports, ensuring that complex datasets are transformed into clear, actionable insights for management and operational teams Building on this, you assist in automating recurring IT processes and reporting activities using tools like Power Automate, thereby reducing manual effort and increasing scalability Additionally, you contribute to the optimization of data structures and reporting processes by analyzing large volumes of IT service data and identifying trends and improvement opportunities To ensure continuous improvement, you collaborate with international stakeholders, sharing your ideas and supporting the integration of analytics and automation solutions into existing IT service management processes This is how you’ll win us over Education: You are currently enrolled in a Bachelor’s or Master’s degree program in Business Informatics, Data Analytics, Computer Science, Information Systems, Business Administration, or a related field Experience and Skills: Hands-on experience with Microsoft Power BI, data visualization, and automation tools such as Power Automate Good knowledge of Microsoft Excel and working with large datasets Basic understanding of data modeling, KPIs, and reporting concepts Ways of Working: You demonstrate a strong analytical and solution-oriented mindset with the ability to work independently and prioritize tasks Languages: You have fluent English skills, both written and spoken You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you! 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. As an equal opportunity employer, we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities. About Us 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. www.siemens.de/careers - wenn du mehr Informationen zu Jobs & Karriere bei Siemens erhalten möchtest. FAQ - if you need further information on the application process. If you have any further questions, please feel free to contact us: www.siemens.de/fragenzurbewerbung #sagworkingstudent

Requirements

reporting processes by analyzing large volumes of IT service data and identifying trends and improvement opportunities To ensure continuous improvement, you collaborate with international stakeholders, sharing your ideas and supporting the integration of analytics and automation solutions into existing IT service management processes This is how you’ll win us over Education: You are currently enrolled in a Bachelor’s or Master’s degree program in Business Informatics, Data Analytics, Computer Science, Information Systems, Business Administration, or a related field Experience and Skills: Hands-on experience with Microsoft Power BI, data visualization, and automation tools such as Power Automate Good knowledge of Microsoft Excel and working with large datasets Basic understanding of data modeling, KPIs, and reporting concepts Ways of Working: You demonstrate a strong analytical and solution-oriented mindset with the ability to work independently and prioritize tasks Languages: You have

About the company

fluent English skills, both written and spoken You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you! 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. As an equal opportunity employer, we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities. About Us 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 aaaaaaaaaaaaaa & robots. This is how we are able, to tackle the most important projects and push them forward together. Help us shape the future. www.siemens.de/careers - wenn du mehr Informationen zu Jobs & Karriere bei Siemens erhalten möchtest. FAQ - if you need further information on the application process. If you have any further questions, please feel free to contact us: www.siemens.de/fragenzurbewerbung #sagworkingstudent

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