Working Student (m/f/d) Process Automation, Power Platform & Data Analytics

Siemens Healthineers AG · Erlangen · 15 hours a week

WerkstudentGerman needed: fluent

Still open on 2 Nov

You apply on the company's own website.

Key facts

Hours: 15 hours a week
Language needed: German and English
Subject you study: Business Informatics, Computer Science, Data Science, Business Administration

Together with us you develop business applications with Microsoft Power Apps
You support us in designing and implementing workflow automations with Microsoft Power Automate
You support us in creating dashboards, reports and data analyses with Microsoft Power BI
You integrate data sources and automate business processes
You support the implementation of digitalization and process optimization projects
You help us develop Copilot solutions and simple AI-supported business applications
Together with the team you help analyze business requirements and translate them into technical solutions
You support the introduction, testing and documentation of new digital solutions
You maintain solution documentation and development work with GitHub or comparable platforms
You work with commercial and technical stakeholders

You are currently enrolled in a Bachelor's degree in business informatics, computer science, data science, business administration with a technical focus or a comparable course
You are available for at least 4 semesters
You have experience with the Microsoft Power Platform, especially Power Apps, Power Automate and Power BI
Ideally you are familiar with GitHub, Git or comparable version control platforms
Experience developing business applications, dashboards or automation solutions is an advantage
You have a basic understanding of APIs, databases and the integration of different data sources
You have very good German and English skills, spoken and written
You have strong communication and teamwork skills
You work independently, in a structured and solution-oriented way
You are able to understand business processes and translate requirements into practical solutions
You are interested in AI-supported process automation and Microsoft Copilot solutions
You have knowledge of data analysis, data modeling and data visualization

Together with us you develop business applications with Microsoft Power Apps
You support us in designing and implementing workflow automations with Microsoft Power Automate
You support us in creating dashboards, reports and data analyses with Microsoft Power BI
You integrate data sources and automate business processes
You support the implementation of digitalization and process optimization projects
You help us develop Copilot solutions and simple AI-supported business applications
Together with the team you help analyze business requirements and translate them into technical solutions
You support the introduction, testing and documentation of new digital solutions
You maintain solution documentation and development work with GitHub or comparable platforms
You work with commercial and technical stakeholders

You are currently enrolled in a Bachelor's degree in business informatics, computer science, data science, business administration with a technical focus or a comparable course
You are available for at least 4 semesters
You have experience with the Microsoft Power Platform, especially Power Apps, Power Automate and Power BI
Ideally you are familiar with GitHub, Git or comparable version control platforms
Experience developing business applications, dashboards or automation solutions is an advantage
You have a basic understanding of APIs, databases and the integration of different data sources
You have very good German and English skills, spoken and written
You have strong communication and teamwork skills
You work independently, in a structured and solution-oriented way
You are able to understand business processes and translate requirements into practical solutions
You are interested in AI-supported process automation and Microsoft Copilot solutions
You have knowledge of data analysis, data modeling and data visualization