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Oracle Data Migration Analyst
Job in
Bedford, Bedfordshire, MK40, England, UK
Listed on 2025-12-30
Listing for:
Oslates Catering Outfit
Full Time
position Listed on 2025-12-30
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
We are looking for a highly skilled Oracle Data Migration Analyst (Finance) to play a key role in a major Oracle Fusion ERP transformation programme at Oslates Catering Outfit
. This hands‑on role focuses on delivering high‑quality, reliable data into the new ERP landscape, ensuring accuracy, consistency, and readiness for go‑live.
- Support finance data migration work streams 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.
- 8+ years of 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.
Mid‑Senior level
Employment TypeFull‑time
Job FunctionInformation Technology
IndustriesData Infrastructure and Analytics
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