Gesellschaft

Siemens AgMehr sehen

addressAdresseErlangen, Bayern
type Form der ArbeitStudierende
KategorieBildung

Jobbeschreibung

Mode of Employment : Fixed Term / 15h/week
Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting?

Then come and join our global team as Working Student (f/m/d) to support in the area of Data Analysis and Data Science.

Choose the best place for your work – Within the scope of this position, it is possible, in consultation with your manager, to work mobile (within Germany) up to an average volume of 60% of the respective working hours.


Your tasks and responsibilities:

  • You support our path to Industry 4.0 through digitalization & automation of Medical Electronics Supply Chain Management (SCM)
  • You build and design reports, tools, evaluations and optimize data analyses from the SCM area
  • Participation in projects to optimize processes through digital innovations is also part of your tasks
  • You will have the opportunity to expand your knowledge and skills in the use of tools such as Power Apps, Power BI, Qlik Sense, SQL and Python

To find out more about the specific business, have a look at https://www.siemens-healthineers.com/products-services

Your qualifications and experience:

  • You are studying at a university in a technical degree program, e.g. computer science or data science, AI or a similar field
  • You can apply and deepen your knowledge of the Microsoft Power Platform in the areas of dashboard creation (Power BI), app development (Power Apps) and the creation of automated workflows (Power Automate)
  • You are proficient in the MS Office package, with a focus on Word, Excel and PowerPoint
  • Ideally, you already have knowledge of SQL
  • Experience in evaluating and analyzing large data sets to gain relevant insights using Python is an advantage
  • Additional interest or initial experience in the field of big data and machine learning is welcome


Your attributes and skills:

  • As our team operates globally, you have a good command of written and spoken German and English
  • You have 15h/week time and desire to support us in the long term
  • You enjoy working with numbers and large amounts of data
  • You think and work in a service-oriented manner and enjoy working with people
  • If you have a communicative and proactive personality and are looking forward to working in a team, you've come to the right place!

Our global team:

Siemens Healthineers is a leading global medical technology company. 71,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services.

Our culture:

Our culture embraces different perspectives, open debate, and the will to challenge convention. Change is a constant aspect of our work. We aspire to lead the change in our industry rather than just react to it. That’s why we invite you to take on new challenges, test your ideas, and celebrate success.

Check our Careers Site at https://www.siemens-healthineers.com/de/careers
As an equal opportunity employer, we welcome applications from individuals with disabilities.
Wish to find out more before applying? Contact us: students.func@siemens-healthineers.com, if you wish to discuss any initial questions with our recruitment team.


We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started.



Siemens Healthineers Germany was awarded the Great Place to Work® certificate.
Refer code: 1227132. Siemens Ag - Der vorherige Tag - 2024-03-18 06:49

Siemens Ag

Erlangen, Bayern

Jobs mit Freunden teilen

Verwandte Berufe

Working Student (f/m/d) Data Science/Analysis - Medical Electronics

Working student (m/f/d) Data Science / Machine Learning Credit Card

Check24

München, Bayern

2 vor wenigen Monaten - gesehen