Working Student Data Analyst

Working Student (f/m/d) Data Analyst Mode of Employment: Fixed Term / Part-Time; (15-20 hours / week) Join us as a Working Student Data Analyst (f/m/d) in Munich and shape the future of industrial data by transforming research insights into actionable stories that drive real impact. Ready to dive into data collection, analysis, and innovative visualization while collaborating closely with our expert teams? 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 adaptation of research designs for specific user settings in close collaboration with senior stakeholders across different factory locations Building on this, you help organize and coordinate data collection activities using diverse methods, ensuring high-quality data from multiple sites Subsequently, you assist in cleaning, combining, and aggregating collected data to enable meaningful statistical analysis and clear data visualization You contribute to the creation of thorough documentation and draft business presentations to communicate key findings and insights to stakeholders Finally, you help transform complex data into compelling stories and build interactive dashboards in Power BI to effectively present results to the business This is how you’ll win us over Education: You are currently enrolled in a relevant Bachelor’s or Master’s program, such as Data Science, Management, Economics, Business Informatics, Psychology or a related field Experience and Skills: You have a solid understanding of business analytics and data visualization using dashboarding tools such as MS Excel, MS PowerPoint or PowerBI You possess strong data literacy, including abilities in data extraction, transformation, and analysis with a focus on deriving business insights You are proficient in statistical analysis, data interpretation, and documentation with great attention to detail Experience working with Python, R and GIT is beneficial Ways of Working: You demonstrate clear communication, structured working methods, and the ability to present data insights effectively Languages: Very good English skills are required 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

meaningful statistical analysis and clear data visualization You contribute to the creation of thorough documentation and draft business presentations to communicate key findings and insights to stakeholders Finally, you help transform complex data into compelling stories and build interactive dashboards in Power BI to effectively present results to the business This is how you’ll win us over Education: You are currently enrolled in a relevant Bachelor’s or Master’s program, such as Data Science, Management, Economics, Business Informatics, Psychology or a related field Experience and Skills: You have a solid understanding of business analytics and data visualization using dashboarding tools such as MS Excel, MS PowerPoint or PowerBI You possess strong data literacy, including abilities in data extraction, transformation, and analysis with a focus on deriving business insights You are proficient in statistical analysis, data interpretation, and documentation with great attention to detail Experience working with Python, R and GIT is beneficial Ways of Working: You demonstrate clear communication, structured working methods, and the ability to present data insights effectively Languages: Very good English skills are required 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 aaaaaa and 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