Our values: Innovation, quality, performance, and enjoyment.
Schreiner Group GmbH & Co. KG is an internationally active German family business and a preferred partner in the healthcare and mobility markets. Our core business is top-quality functional labels, enhanced by complementary system solutions and services. Schreiner Group's innovative high-tech labels and functional components enable smart solutions and help make life a little healthier, more mobile, and safer. Our best-known products include, among others, the particulate matter sticker, vehicle identification and warning labels, and documentation labels for vaccinations. With approximately 1,300 employees and annual sales of around €220 million, we are leading our international business profitably and robustly into a promising future. Numerous awards, such as "Innovator of the Year, ""Bavaria's Best 50," and "Successful.Family-Friendly," confirm our success.
We are looking for a/an for our technical department.
Working student (m/f/d) Data Analytics
Your tasks:
* Support in creating and further developing dashboards and reports in Power BI for visualizing key figures, production data and project progress.
* Analysis of processes and data, as well as identification and evaluation of optimization potential to increase efficiency.
* Application of statistical methods to identify patterns, trends and optimization potential in collaboration with the specialist departments.
* Supporting the integration and processing of IoT and machine data to create transparency within the framework of smart factory initiatives.
* Conducting ad-hoc data analyses in the BI/BA environment and creating reports for the specialist departments based on connected data.
Your qualifications:
* Enrolled Master's student (m/f/d) in Data Analytics, Data Science, Industrial Engineering, Business Administration or a comparable field of study
* Interest in topics such as Smart Factory, data analysis and process digitization and automation in a modern IT environment, as well as motivation to gain practical experience.
* Good knowledge of M365, ideally also of Power BI, Excel or basic data analysis methods.
* A structured and reliable work ethic, as well as a willingness to learn new topics.
* Strong communication skills and a pronounced ability to work constructively in a team
Your advantages:
* Work-life balance: Take advantage of our flexible working hours through our attractive flextime model. Depending on the role, working from home is also possible.
* Additional benefits: We offer, among other things, employee discounts, a subsidized canteen and free parking.
* Career opportunities: Start as an intern, continue as a working student, successfully complete your thesis with us and secure good chances of being hired!
Your contact person:
Julia Kößler, Human Resources
Telephone: +49(89)31584-3236
Apply now "