München: Service & Support Working Student

Wondering what’s within Beckman Coulter Diagnostics?

Take a closer look. At first glance, you’ll see that for more than 80 years we’ve been dedicated to advancing and optimizing the laboratory to move science and healthcare forward. Join a team where you can be heard, be supported, and always be yourself. We’re building a culture that celebrates backgrounds, experiences, and perspectives of all our associates. Look again and you’ll see we are invested in you, providing the opportunity to build a meaningful career, be creative, and try new things with the support you need to be successful. Beckman Coulter Diagnostics is proud to work alongside a community of six fellow Diagnostics Companies at Danaher. Together, we’re working at the pace of change to improve patient lives with diagnostic tools that address the world’s biggest health challenges.

This position is part of the Global Product Technical Support (GPTS) department located in Munich and will be on-site, with a workload of 10–20 hours per week.Your primary responsibility will be to create and maintain analytics tools and data. You will work closely with the GPTS team on the development of customer-specific tube databases and collaborate with the Global Service Organization on tools used by various stakeholders.

What we offer you:

• Modern working approach in an exciting international environment
• Locations in the beautiful Munich area, close to public transportation
• Flexible working hours
• Active Diversity & Inclusion Council to ensure an inclusive work environment

In this role, you will have the opportunity to:

• Support data analytics initiatives by extracting, cleaning, and analyzing data from ServiceMax and Oracle systems to generate actionable insights.
• Collaborate with Technical support team to identify data-driven opportunities for process improvement initiatives
• Assist the GPTS team in maintaining tools such as Power BI, Smartsheet, and customer-specific tube databases (including creation and troubleshooting tasks).

The essential requirements of the job include:

• Currently enrolled as a full-time student in Data Science, Informatics, Electrical Engineering, Mechanical Engineering or a related field
• Experience in using data analytic tools such as Excel, Power BI and AI-powered platforms like Microsoft Copilot or other generative AI tools.
• Strong analytical skills with the ability to interpret data, identify trends, and communicate insights effectively.
• Good written and verbal communication skills in English

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit .

Job Summary
Job number: R1298207
Date posted : 2025-10-08
Profession: Intern
Employment type: Part time