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Working Student (f/m/d) in the field Financial Data Analyst

Working Student (f/m/d) in the field Financial Data Analyst
by Admin on 03-10-2023 at 8:46 am

Website Siemens EDA

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) in the field Financial Data Analyst.

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 will develop, build and maintain our global KPI dashboard for steering the Order to Cash Organization world-wide
  • You support in Digitalization and Automation initiatives to drive standardization
  • The Development of concepts and tooling for “Global Governance Framework” is one of your tasks
  • You are a part of our team and support us with additional administrative tasks

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 for a bachelor’s/master’s degree in any field of study
  • You have solid experience with Power BI (development of new use cases and enhancement of existing solutions)
  • You have good expertise in fields of Data Science for Data Analytics, Data Reporting and Dashboarding (using solutions like Phyton, KNIME etc.) furthermore an operational background and expertise in Controlling, Business Administration and/or IT is preferred
  • Your skills and experiences regarding visualization front ends (e.g., MS Power BI, Qlik Sense and SAC) are very good
  • You can use and adapt new technologies, tools and methods within area of responsibility
  • Familiarity with Python and KNIME is an asset

Your attributes and skills:

  • You have very good skills in English and German
  • You have good communication skills in an international working environment
  • You are passionate about data: You understand the value of data and the benefits and commercial opportunities it offers
  • You are willingness to continuously improve processes and organizations
  • Prior experience or good understanding of business intelligence techniques including data modeling, data collection, data mining, data analysis, data visualization and best practices is preferred
  • Self-starter: Be eager to learn and have the drive and will to succeed
  • Does that sound like you? Then we look forward to receiving your application
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