Business Analyst Supply Chain

von: VAT Vakuumventile AG | Ort: Haag
N: VATVakuumventileAG





  • Designs, develops and implements data analytics solutions.
  • Crafting visual designs, develops and implemented interactive visuals analytics tools in PowerBI.
  • Responsible regarding data engineering aspects of data science products, including the tools for data ingestion, transformation, monitoring and CI/CD data science components.
  • You are responsible for the development of new data sources as well as data modelling of existing data in the data warehouse.
  • Perform ad-hoc analysis for various teams to help them make informed decisions and gain valuable insights into their business processes.
  • Collecting and defining KPIs together with different business stakeholder groups.
  • Creation and maintenance of individual reports for different stakeholder groups.
  • Presenting analysis results and decision papers to internal and external stakeholder groups.





  • Education: Bachelor Degree in Data Science, Statistics, IT or Engineering background.
  • 4 years experience as a hands-on Data Scientist, Data Analyst or Data Engineer.
  • Linguistic Proficiency: Exellent command of German or English, both weittern and spoken.
  • Ad-hoc Analysis: Demonstrated ability to conduct ad-hoc analyses for various teams, assisting them in making informed decisions and offering valuable business process insights.
  • BI Dashboard Development: Expertise in crafting complex BI Dashboards derived from ERP (Dynamics 365) data.
  • Data Processing: Skilled in creating, sanitizing, rectifying, monitoring, and refining data processing pipelines.
  • Key Performance Indicators Definition: Proficiency in determining and outlining BI metrics in conjunction with diverse departments.
  • UI, UX Design Experience: Experience in development of user-friendly analytical data products, tailored diverse stakeholder groups.
  • Process Automation: Adeptness in setting up new automated processing procedures and in reviewing and improving workflows and data streams.
  • DWH Data Models: Deep understanding of DWH data models and in converting business requirements into actionable data insights.
  • Analytical Mindset: Exceptional conceptual and analytical thinking capabilities.
  • Tools Knowledge: Knowledge of at least one programming language (e.g. Python), Microsoft Power BI, Power Query, DAX, Microsoft Power Apps, Power Automate, Microsoft Dynamics 365, Structured Query Language (SQL), ETL (e.g. Data Factory)

N: VATVakuumventileAG

  • Haag

Webseite VAT Vakuumventile AG

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