AI / Data Analytics Specialist | AI / Data Analytics Specialist (m/w/d)

Akkodis Germany Tech Experts GmbH

München, Bayern, Deutschland
Published May 19, 2026
Full-time
Permanent

Job Summary

As an AI / Data Analytics Specialist, you will play a crucial role in driving data-informed decision-making by analyzing and preparing data. Your day-to-day will involve developing and optimizing reports and dashboards using tools like Power BI or Tableau, and applying AI methods such as predictive analytics and text analysis to automate and enhance analytical processes. You will also support the integration of AI solutions into business operations and ensure data quality. This position offers a unique opportunity to work with cutting-edge AI and Data Analytics technologies within a global digital engineering consultancy, Akkodis, contributing to innovation and shaping a smarter future. The role requires a degree in Computer Science, Business Informatics, Data Science, or a related field, along with practical experience in data analytics and BI tools, and a foundational understanding of AI/ML methods.

Required Skills

Education

Completed degree in Computer Science, Business Informatics, Data Science, or comparable qualification

Experience

  • Professional experience in Data Analytics, Business Intelligence, or Reporting
  • Experience with BI tools such as Power BI, Tableau, or Qlik
  • First experience with AI/Machine Learning methods or tools (e.g., scikit-learn, Azure AI, OpenAI APIs)
  • Understanding of data modeling and data preparation
  • Professional experience in data analysis and preparation to support data-driven decisions
  • Experience in developing and optimizing reports, dashboards, and data-based analyses
  • Experience with AI tools and methods for automating and improving analyses
  • Experience supporting the integration of AI solutions into existing business processes
  • Experience structuring data for use in AI and Machine Learning applications
  • Experience collaborating with business units to identify use cases for data and AI-driven solutions

Languages

Not specified

Additional

  • Not specified