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

Remote · USA Full-time New today

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 Apply To This Job

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