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Data analyst (Data Quality team)
Data analyst (Data Quality team)
Intrum Global Technologies
Data analyst (Data Quality team)

Data analyst (Data Quality team)Intrum Global Technologies

This is the job.

  • Data quality analysis;
  • Help the local units to spot issues in their data and drive them to improve it;
  • Compare data between systems, find issues and report to the local units;
  • Support the local units to improve their data quality;
  • Design, develop and maintain data quality related toolkit.

You have:

  • Structural and organized way of thinking: you must look at the data, spot the problem and come up with options for solving issues;
  • Define processes and ways of working for how to continuously improve the quality of data;
  • Communication skills and persuasive attitude in order to communicate with the local units and drive them to fix data quality issues;
  • Business analyst skills: ability to understand business processes and how that relates to the underlying data;
  • Good SQL knowledge, ability to work with large data sets to find quality issues, detect data structures;
  • Strong communication skills in English (written and spoken);
  • Experience in financial services or credit management sector is a plus;
  • Experience in daily work with data and data quality is a plus.

We Offer:

  • Experience working in a multinational environment, being part of the Global IT or Data & Analytics functions in the leading credit management company in Europe.
  • Hybrid working, location by your choice (remote/ in office), and a healthy attitude towards flexible working patterns.
  • Monthly gross salary from 2000 - 2600 euros / monthly.
  • Respecting private life, providing 3 extra leave-days for personal needs.
  • Health insurance and paid mental health support (from your first steps).
  • Snacks and fruits to boost your office day.
  • Well-being activities, surprises, and birthday gifts (lunch stretching sessions, sporty challenges, mini competitions with prizes).
  • Supporting self-driven learning (i.e., paid conference fees, relevant Udemy courses).

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