> Markdown version of [/jobs/ext/3948171-data-consultant](https://www.wearedevelopers.com/jobs/ext/3948171-data-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Consultant - **Company:** Korn Ferry - **Location:** London, UK (Remote available) - **Salary:** £91,000.0 - **Contract:** Temporary contract - **Skills:** Microsoft Excel, Data Analysis, Big Data, Data Validation, Data Cleansing, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Mapping, Data Structures, SQL Databases - **Published:** October 27, 2026 - **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-42FC73C109595E1CB3/ ## About the Role 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. ## Description * 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.