Data Migration Analyst

  • United Kingdom
  • North West
  • Contract
  • £400 - £425 per day + Outside IR35

My higher education organisation client is seeking a skilled and experienced Data Migration Analyst to join their team on a contract basis. If you have expertise in data migration, particularly using Aperture, this could be the role for you!

Position Overview:

As a Data Migration Analyst, you will play a crucial role within an ongoing data migration. You will collaborate with cross-functional teams to assess, plan, and execute data migration projects, leveraging your expertise in Experian Aperture Data Studio and Oracle SQL or SQL Developer.

This is a remote role, however, you may be required to visit the Manchester office occasionally. The budget for this role is £400-425 per day (Outside IR35). You must be immediately available.

Key Responsibilities:

  • Analyse existing data sources, structures, and formats.
  • Develop data migration strategies and plans.
  • Extract, transform, and load (ETL) data using Aperture – (non-negotiable)
  • Experience in Oracle SQL or previous SQL Developer roles.
  • Ensure data quality and accuracy throughout the migration process.
  • Collaborate with IT and business teams to resolve data-related issues.
  • Create and maintain documentation related to data migration processes.
  • Monitor and report on the progress of migration projects.
  • Perform data validation and reconciliation.
  • Troubleshoot and resolve migration-related challenges.
  • Provide technical support to end-users during the migration process.

Qualifications:

  • Proven experience in data migration projects, with a focus on Aperture and Oracle SQL or SQL Developer.
  • Strong SQL scripting skills and proficiency in working with relational databases.
  • Experience using JIRA and Confluence
  • Familiarity with data mapping and transformation techniques.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills.
  • Ability to work independently and collaboratively within a team.
  • Experience with data quality assurance and validation.
  • Knowledge of data governance principles is a plus.

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