Senior Business Analyst

Scope of work

Elicit and analyse business requirements through engagement with business stakeholders, subject matter experts (SMEs), and technical teams.

Develop and maintain key documentation including ARD, BRD, data dictionaries, and reporting requirement artefacts.

Capture and document business rules, source-to-target data mappings, and data transformation logic.

Review and assess source system data structures, data quality, and data lineage to support data migration activities.

Define and maintain master data and reporting mappings for CLM and eKYC platforms.

Establish data cleansing, standardisation, and enrichment rules to uphold data quality standards.

Design, prepare, and execute test cases for data migration and reporting validation.

Prepare test data and support multiple System Integration Testing (SIT) cycles.

Conduct SIT validation to ensure data accuracy, completeness, and adherence to regulatory requirements.

Log defects, track remediation progress, and contribute to root-cause analysis discussions.

Maintain end-to-end traceability across requirements, data mappings, test cases, and SIT outcomes.

Work closely with business users, data architects, developers, QA teams, and project stakeholders.

Provide regular status updates covering project progress, risks, issues, and remediation actions.

Requirements

Bachelor's degree in any discipline.

At least 10 years of experience as a Business Analyst, with a strong preference for data migration projects.

Proven experience delivering banking or financial services initiatives.

Strong understanding of the data migration lifecycle, including data reconciliation and validation processes.

Proficiency in SQL for data analysis, profiling, and reconciliation activities.

Hands-on experience with ETL tools such as Informatica, Talend, or SSIS.

Experience in test case design, execution, and SIT validation.

Strong documentation capabilities across ARD, BRD, data mappings, and data dictionaries.

Excellent stakeholder management and communication skills.

Knowledge of KYC and CLM processes and regulatory requirements; exposure to BI tools (e.g. Power BI, Tableau), familiarity with data quality frameworks, metadata management, or automated data validation, as well as prior consulting and leadership experience, will be considered an advantage.