Oracle Data Migration Analyst in Bedford

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.

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 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.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

Data Infrastructure and Analytics