Data Migration Analyst


Company:	Cardiff Metropolitan University
Salary:	£39,906 to £44,746 a year
Hours:	Full-time
Location:	Cardiff, CF5 2YB
Working pattern:	Hybrid - 2 days remote
Job type:	Contract
Posting date:	15 Oct 2026
Closing date:	22 Oct 2026

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Summary

he Student Record System Programme is replacing Cardiff Metropolitan University’s current system with a modern, cloud-based platform that will transform how we manage the full student lifecycle.

A new system is only as good as the data within it, and making sure every student record arrives accurately and safely is precisely what this role is about.

In this role, you will be responsible for the execution of data migration activity, ensuring that student data is accurately and safely transferred from our legacy system (QLS) to the new Student Record System ahead of go-live.

You will take the agreed migration strategy from analysis through to cutover, covering data profiling, mapping, extraction, transformation, cleansing, loading and validation, and protecting the integrity and continuity of student records throughout the transition.

You will work closely with subject matter experts across student records, registry, admissions and academic schools, as well as Digital Services and system suppliers, turning complex legacy data into a clean, reconciled dataset ready for go-live.

You’ll lead the way by:

Analysing data held in the current student record system (QLS), identifying data quality issues, gaps and risks ahead of migration.

Undertaking data mapping between the legacy and new systems, and producing data dictionaries, mapping specifications, transformation rules and cutover runbooks for stakeholder sign-off.

Building, testing and iterating migration scripts and transformation routines, ensuring data is cleansed, standardised and fit for purpose before each migration run.

Executing multiple migration rehearsal runs, resolving issues iteratively and maintaining a migration issue log with clear owners and resolution timescales.

Carrying out validation and reconciliation at each stage to verify the accuracy, completeness and integrity of migrated data, and supporting source data cleansing with operational teams.

Contributing to programme cutover planning on sequencing, timescales and dependencies, and reporting migration progress, risks, issues and readiness to the PMO.

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