Data Analyst

Munich, Bavaria, Germany (Hybrid)

+44 (0) 1273 311499


About This Opportunity

Quotacom are proud to be partnered with an internationally leading professional services organisation that’s breaking new ground in the world of digital transformation. This innovative company are at the forefront of cutting-edge data driven technology and services, pushing boundaries and revolutionising the industry as we know it.

Their services include operational excellence, supply chain optimization, digital transformation, and sustainability, with a focus within Industry 4.0 and IoT topics. By focusing on their clients’ unique needs and challenges, they develop highly customised solutions that deliver real and measurable impact.

They are now seeking an experienced and motivated Data Analyst to play a key role within their highly successful team of experts. This person will be responsible for analysing and recommending the best and most efficient solutions for a variation of projects and clients.

This is an incredibly interesting opportunity to join this organisation with huge opportunity for growth for the right individuals. For full details and discreet conversation, contact Alex at

At Quotacom, we take the security and privacy of your personal data seriously; any data we hold will be in accordance with data protection legislation. Full details of our privacy notice can be found at

Desired Skills and Experience

Key Requirements:

  • Degree in (Industrial) Engineering, Business Informatics or similar
  • Ability to understand and solve complex problems
  • Sense for the design of lean, efficient processes identifying “waste” in processes
  • Convincing appearance presenting your analyses to the customer
  • Flexibility and willingness to travel within Germany and abroad (approx. 40%)


  • Good knowledge of data modelling/database development (e.g. SQL) – on-premise and cloud (e.g. MS Azure)
  • Good knowledge of tools for data visualisation (e.g. PowerBI)
  • Basic knowledge in the area of statistical data analysis as well as the necessary languages (especially Python), frameworks (e.g. Pandas, Scikitlearn) and methods (statistics, machine learning, data mining) would be an advantage

Employment Status

Full Time

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