Business Data Analyst - Migration

Business Data Analyst - Migration Responsibilities:

• Collaborate with stakeholders to gather and document business data requirements for data migration and data transfer.
• Analyse current and future data structures, business processes, dataflows, and dependencies to identify gaps and risks and ensure smooth data transition /transfer
• Define data mapping, transformation rules, validation criteria and business logic for data transfer and data migration projects
• Work closely with data engineers and migration teams to ensure accurate data extraction, transformation, and loading (ETL).
• Support data reconciliation, integrity checks , validation, and cleansing activities to ensure quality and consistency.
• Identify and resolve data discrepancies and ensure alignment with business rules.
• Assist in data profiling and data lineage documentation to track historical changes and data movements
• Act as a liaison between business users, data architects, IT teams, and vendors to facilitate smooth data transitions.
• Translate business requirements into actionable data specifications for the transfer/ migration team.
• Provide reports, dashboards, and insights to track data transfer/data migration progress and data integrity.
• Ensure all data transfer/data migration activities align with data governance policies and regulatory compliance requirements.
• Maintain data documentation, including data dictionaries, lineage, and standards.
• Work with risk and compliance teams to ensure migrated data meets audit and reporting standards
• Assist in developing strategies for data retention, archiving, and decommissioning of legacy systems.
• Data Lineage identification and Data Mapping - map source data fields to target field. Document transformation rules and logic
• Data Quality Control, Collection and Cleansing: Identify and collect relevant data from multiple sources, including internal databases, external vendors, and APIs. Perform data cleaning, transformation, and standardization processes to ensure data accuracy and consistency.
• Problem Solving and Testing: Skills to use data to support investigations and testing, understand how to get root cause of problems, working with SMEs and team members. Review and recommend improvements to processes, data, controls to support improving the Bank.
• Data Governance and Quality Assurance: Ensure data integrity, data privacy, and compliance with regulatory standards. Adhere to data governance processes to maintain data quality, consistency, and security. Identify and resolve data quality issues by conducting data audits and implementing appropriate data cleansing techniques.
• User Coordination: Work with users on how to use the migrated data
• Post-Migration Validation: Validate the migrated data in the target system to ensure it meets the required quality standards and supports the organisation's operations. Coordinate validation for the other systems as defined by other respective leads
• Develop an integrated relationship with the IT teams that will help build and test the technology to support the cutover and implementation approach
• Post-Migration Review: Conduct a post-migration review to identify any lessons learned and areas for improvement in future migrations
• Stakeholder Communication: Regularly communicate with all stakeholders to keep them informed about the progress of the cutover and implementation and address any concerns they may have.