Data Analyst

• Data analysis and profiling: Using SQL to extract, analyse, profile and assess large datasets, identifying data anomalies, inconsistencies, duplicates and quality issues.
• Source-to-target data mapping: Analysing Legacy data structures, defining mapping rules, transformation logic and business rules to ensure accurate migration into target systems.
• Data cleansing and transformation: Investigating data quality issues, applying transformation rules, standardising formats and resolving gaps or inconsistencies ahead of migration.
• Data reconciliation and validation: Performing source-to-target comparisons, control total checks, record-level validation and balance reconciliations to confirm data completeness and accuracy.
• ETL and migration testing: Supporting migration test cycles, executing data validation scripts, analysing test results, investigating defects and working with technical teams to resolve discrepancies.
• Data quality and governance: Maintaining data integrity, documenting migration rules, producing evidence of validation, and ensuring compliance with financial services data standards and audit requirements.

Experience working with complex financial datasets, Legacy banking or financial platforms, and tools such as SQL, Excel and ETL/data integration technologies would be particularly valuable.

This is an initial 3 month engagement working remotely paying £350/day Outside IR35