
Data Analyst - Healthcare - £55k
Job Description
Posted on: March 14, 2026
Role: Data Analyst Type: Permanent Salary: £55,000 per annum Location: Fully remote - UK-based
We're working with a specialist healthcare consultancy that delivers complex digital transformation programmes across the NHS, particularly within large-scale EPR environments.
Due to continued growth and an expanding project pipeline, they are looking to strengthen their data migration capability with the addition of a Data Analyst. This role will play a key part in delivering end-to-end data migration activities, supporting the successful movement of complex datasets between clinical systems.
This is a fully remote permanent opportunity, offering the chance to work on meaningful healthcare transformation programmes while developing your expertise within a specialist data team.
Responsibilities:
- Develop SQL scripts and ETL processes to support data migration activities
- Lead data mapping, transformation and migration tasks across healthcare systems
- Analyse source data and identify data quality issues prior to migration
- Support data cleansing, reconciliation and validation activities
- Collaborate with project teams to investigate and resolve data anomalies
- Contribute to improving migration processes and data quality standards
Skills:
- Strong practical SQL development experience (T-SQL, SSIS or similar ETL tooling)
- Proven experience delivering data migrations end-to-end
- Experience working within NHS or healthcare data environments
- Comfortable working directly with clinical system datasets (PAS, LIMS, EPR, Theatre systems or similar)
- Experience analysing data quality and building migration logic from scratch
Desirable:
- Experience working at a specialist healthcare data or migration vendor
- Exposure to clinical systems such as Careflow, Winpath, Bluespier, VitalPAC or MAXIMS
- Azure or cloud data environment experience
- SSRS reporting experience
If you're a data professional with hands-on migration experience in healthcare environments and enjoy solving complex data challenges, don't hesitate to apply now!
Apply now
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