We’re looking for a highly skilled Oracle Data Migration Analyst (Finance) to play a key role in a major Oracle Fusion ERP transformation programme. This is a hands-on role focused on delivering high-quality, reliable data into the new ERP landscape, ensuring accuracy, consistency, and readiness for go-live.
If you’re passionate about data, finance processes, and large-scale transformation, this is an exciting opportunity to shape the future state of our systems and reporting capability.
Key Responsibilities
* Support finance data migration workstreams as part of a large ERP implementation project.
* Analyse, cleanse, validate, and reconcile complex financial data sets across multiple source systems.
* Work closely with Finance SMEs and Functional Leads to understand business rules, mapping requirements, and transformation logic.
* Translate functional requirements into clear, actionable technical specifications.
* Develop and execute data quality checks, validation routines, and reconciliation processes.
* Produce detailed analysis, documentation, and reporting to support migration cycles, cutover, and post-migration activities.
* Collaborate cross-functionally with technical teams, BI teams, and the wider project group to ensure data readiness and integrity.
Skills & Experience Required
* 8+ years’ experience working on ERP implementation programmes, including at least one end-to-end deployment.
* Strong background in data analysis and data quality management.
* Proficiency in SQL or PL/SQL for data extraction, manipulation, and validation.
* Hands-on experience with data analytics and visualisation tools such as Power BI, Tableau, and advanced Excel.
* Excellent understanding of data structures, relational databases, and data object relationships.
* Experience working with key finance data objects such as Chart of Accounts, General Ledger, Vendors, Customers, Projects, etc.
* Strong communication skills and the ability to translate complex data insights into clear messages for both technical and non-technical audiences