The successful Data Migration - Data Analyst - Contract will be responsible for:

• 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 standardisation processes to ensure data accuracy and consistency.
• Data Analysis, validation and Interpretation: Utilise tools to perform data analytic, including data blending, analysis, and modelling. Collaborate with business stakeholders to understand their requirements and translate them into data analysis tasks.
• Problem Solving and Testing: Technical 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.
• Semantic recognition, Data Rules and tool configuration: A number of our programmes or work have a configuration component. The ability to use software solution to write, document, evaluation, test and improve these rules.
• Data Visualisation and Reporting: Create visually appealing and interactive dashboards, reports, and visualisations using Power BI, Tableau, and Excel. Present complex data analysis findings in a clear and concise manner to stakeholders at various levels of the organisation. Develop automated reports and data visualisations that provide insights.
• 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.
• Collaboration and Communication: Collaborate with cross-functional teams, including business analysts, IT team, Divisions and decision-makers, communicate findings, recommendations, and insights to both technical and non-technical stakeholders effectively.
• Advice and Innovation: Provide advice to teams within the business about tools, data and skills. Have an innovation outlook, trying to find new ways of supporting and improving our business.
• Support Cutover Planning and Runbook Management: contribute to the development and execution of data migration and cutover tasks that need to be completed during the data migration preparation execution and cutover implementation
• 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
• Tech Authoring of documents that describe the cutover and implementation process developed.
• Develop an integrated relationship with the IT teams that will help build and test the technology to support the cutover and implementation approach
• Coordinate with business process stakeholders to ensure that the business context and impacts are considered
• Post-Migration Review: Conduct a post-migration review to identify any lessons learned and areas for improvement in future migrations
• Collaboration and Communication: Collaborate with cross-functional teams, including business analysts, IT team, Divisions and decision-makers, communicate findings, recommendations, and insights to both technical and non-technical stakeholders effectively