Working Student (m/f/d) - Data Analytics & Power BI

Your Tasks:

• Develop and maintain Power BI reports and interactive dashboards


• Build and optimize semantic data models (Power BI / Fabric)


• Support data transformation and preparation within Microsoft Fabric (e.g., Dataflows, Lakehouse, pipelines)


• Work with structured and semi-structured data from different sources


• Collaborate with business stakeholders to understand reporting needs and translate them into data solutions


• Ensure data quality, consistency, and performance optimization


• Support ad-hoc analyses and data visualization tasks


• Document data models, KPIs, and reporting logic
  
  

Your Qualifications:

• Currently enrolled in a degree in: Data Science, Business Analytics, Computer Science, Industrial Engineering, or similar


• Strong interest in data analytics, BI, and modern data platforms


• Hands-on experience with Power BI (required), Microsoft Fabric or similar cloud data platforms (preferred), SQL (preferred), Advanced Excel


• Basic understanding of Data modeling concepts (star schema, relationships, measures), DAX (nice to have), Cloud-based data architectures (nice to have)


• Structured, analytical mindset with attention to detail


• Strong communication skills in English (German is a plus)

Your Benefits:

• A pleasant working atmosphere in an exciting business and international team


• Flexible working hours with the option for remote work within Germany


• Attractive remuneration


• Access to the G+D sports club


• Use of the G+D Vital Bistro and Barista Bars

$$ We are an equal opportunity employer! We promote diversity in all its forms and create an inclusive work environment, free from prejudice, discrimination and harassment, in which all employees feel a sense of belonging. We warmly welcome all applications regardless of gender, age, race or ethnic origin, social and cultural background, religion, disability and sexual orientation. 

 $$ Antonia Kratzl $$ [email protected] $$ $$ $$ https://career5.successfactors.eu/career?company=gieseckede&career_job_req_id=27304&career_ns=job_application