Global Data Migration Analyst - Banking (Hybrid, London)

Global Data Migration Analyst - Banking (Hybrid, London)

Full-Time 45000 - 55000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Support international banking projects by managing end-to-end data migration activities.
  • Company: May Business Consulting, a dynamic firm with global reach.
  • Benefits: Hybrid work model, competitive salary, and opportunities for international projects.
  • Other info: Collaborative environment with potential for career advancement.
  • Why this job: Join a global team and enhance your skills in data migration and analysis.
  • Qualifications: Experience in data mapping, cleansing, and ETL processes; fluency in English required.

The predicted salary is between 45000 - 55000 Β£ per year.

May Business Consulting is seeking a Data Migration Analyst to support an international banking project, handling end-to-end data migration activities from legacy to target systems in a hybrid London setting.

You will work with data mapping, cleansing, transformation, validation, reconciliation, and ETL processes while collaborating with technical and business teams in an international environment.

Fluency in English is required, with open opportunities on international projects.

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Global Data Migration Analyst - Banking (Hybrid, London) employer: May Business Consulting (Spain) by Izertis

May Business Consulting is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Employees benefit from flexible hybrid working arrangements, comprehensive professional development opportunities, and the chance to engage in impactful international banking projects, making it a rewarding place for those looking to grow their careers in data migration and analytics.

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Contact Details:

May Business Consulting (Spain) by Izertis Recruitment Team

We think you need these skills to ace Global Data Migration Analyst - Banking (Hybrid, London)

Communication Skills
Problem-Solving Skills
SQL
Python
Attention to Detail
Automation
Data Engineering