Consultant Data & Analytics – Microsoft Power BI at Arineo Group
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

25 Nov, 26

Salary

0.0

Posted On

27 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description
  • Consulting experience and understanding of business processes: You have experience working with clients, understand business processes, and can gather and structure technical requirements and translate them into viable solutions.
  • Expertise in the Microsoft Data & Analytics ecosystem: You have experience with Power BI, DAX, and Microsoft Fabric. Ideally, you’re also familiar with data from Microsoft Dynamics 365, such as from Finance & Operations, Supply Chain Management, or Customer Engagement & Sales.
  • Understanding of data strategy and data governance: You know how reliable data, clear structures, and transparent responsibilities contribute to better decisions.
  • Strong interpersonal and communication skills: You navigate confidently between business units, customers, and the development team, and can clearly convey both business and technical concepts—in workshops, coordination meetings, and day-to-day project work.
  • Self-motivation and organizational skills: You work independently, actively drive projects forward, and maintain a clear overview even when dealing with complex requirements.
  • Use of AI and New Technologies: You already actively use AI solutions and new tools in your day-to-day work. You closely follow developments related to Microsoft Fabric, Power BI, analytics, data intelligence, and AI, and contribute relevant insights to the team.
  • Language Skills and Willingness to Travel: You have very good German (min. C1) and good English skills and are willing to travel for client projects (20 percent).

Desirable:


  • Understanding of data engineering: You can assess how data movement processes work, why they can be complex, and what they mean for customers—for example, in ETL processes, data preparation, transformations, or pipelines.

  • Does this sound like you? Apply now Not quite the right fit? Then feel free to apply spontaneously!
Responsibilities
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