Were 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 youre 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.