Working Student Power BI & Reporting

mks GmbH
Feucht, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English, German

Job location

Feucht, Germany

Tech stack

Azure
Databases
ETL
Power BI
SQL Databases
Powerquery
Information Technology
Data Analytics
Star Schema
Data Pipelines

Job description

As a working student (m/f/d) Power BI & Reporting within the Equipment Business Unit (EQ BU), you will support the development of modern, scalable reporting structures and dashboards for various functional areas. You will work closely with functional Business Process Owners, Finance, Operations, Sales, Engineering, and IT to prepare data sources, model reports, and implement dashboard designs in Power BI. In this role, you will report to the Business Process Owner Equipment., * Supporting the design, development, and enhancement of Power BI dashboards for EQ functional areas.

  • Building data models, data pipelines, and semi-automated refresh processes.
  • Identifying, structuring, and documenting relevant data sources.
  • Creating user-friendly visualizations that clearly communicate complex data.
  • Contributing to the harmonization of reporting standards across the EQ BU.
  • Collaborating with cross-functional teams to gather requirements and improve existing reporting solutions.

Requirements

Do you have experience in SQL?, Do you have a Master's degree?, * Enrollment in a bachelor's or master's degree program in Business Informatics, Computer Science, Data Analytics, Business Administration, or a related field.

  • Initial hands-on experience with Power BI.
  • Solid understanding of data modeling (e.g., star schema), DAX, or Power Query.
  • Strong analytical skills and interest in data-driven processes.
  • Structured, reliable, and independent way of working.
  • Very good English skills, German is a plus.

Preferred Skills

  • Experience with SQL, Azure, or other database systems.
  • Exposure to requirements engineering or reporting processes.
  • Knowledge of ETL concepts and automated data workflows.

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