Have a good understanding of Banking domain & Regulatory requirements.
Experience in Banking applications/projects Credit Card Commercial Retail Wealth etc.
Financial domain experience (Commercials Retail Cards AML Regulatory and Compliance etc)
Experience in working with product owners and development team to review and confirm the requirements for projects preferably using Azure.
Work closely with the system s owners and the business Architect to discuss and design different scenarios of the data/source mapping.
Proceed with the walkthrough of the requirements with development team once all the requirements are confirmed and communicate constantly whenever requirements change.
Organize workshops to review data mapping gaps and follow up with action items.
Work the business conversion testing team and the development QA team to review test cycles dashboards.
Also contribute to Data Governance artifacts (PIA PDA) Define Data model
Experience with Agile Scrum concepts such as scrum meeting backlog refinement sprint planning sprint retrospective and release planning.
Create and document all the requirements on the confluence page which includes revision history the requirements Current State Analysis Business Process Flow and Data Flow Diagrams source to target mapping source query & data profiling test cases validation code & job details.
Create and update Jira tickets for the sprint stories including a description of the ask the technical requirements acceptance criteria and the link to the BSA confluence page for more details.
Demonstrate strong effective and timely Communication skills both in writing and speaking with different project stakeholders.
Has strong understanding of Data Mappings Business Rules Mapping Source to Target System Mappings
Lead Requirements gathering session with Business Stakeholders
Azure Cloud migration would be an edge.
Experience with real data in any domain.
Innovative and strong analytical and algorithmic problem solvers.
Extracting data from primary and secondary sources and removing corrupted data
Ensuring that the data is accurate and highquality.
Developing and managing data systems and databases with strong SQL knowledge.
Establishing KPIs that provide actionable insights.
Using data to analyse trends that help inform business policies and decisions.
Collaborating with engineers and developers to develop and streamline data governance strategies.
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