- Gather requirements from JAD sessions with business users.
- Collect Banking Use cases talking to Business and work with Architects and Data Modelers to translate them to Model Requirements
- Strong Banking Functional Knowledge a Must, experience in Retail Banking
- Design and develop Activity Diagrams, Sequence Diagrams, and OOD to represent the requirements to communicate the information effectively with users, developers and testers.
- Work closely with business users, subject matter experts to understand and document functional and non-functional requirements for various use cases.
- Identify/document data sources and transformation rules required to populate and maintain data warehouse content.
- Review and analyze data and data models including reports to augment the requirement for use cases with technical information for facilitating development and data modeling activities.
- Conduct meetings and presentations to share ideas and findings to stakeholders and team members.
- Effectively communicate insights and plans to cross-functional team members and management.
- Write data analysis SQL queries to profile and document metadata to analyze data and augment key inputs required.
- Perform extensive requirement analysis, develop use cases and workflows.
- Play key role in the planning, User Acceptance Testing, and Implementation of system enhancements and conversions.
- Develop strategic partnerships with the business units to develop a solid knowledge base of the business line including the business plan, products, process and revenue streams.
Develop business requirement specification documents as well as high-level project plan.
Requirements
- Bachelor's Degree or master’s degree in Computer Science, Mathematics, Statistics.
- 8+ years of experience working as Data Analysts.
- Ability to write good SQL for data analysis must – Netezza , Snowflake , Oracle etc
- Understanding financial data elements and sensitivity classification (PII , PCI, PHI etc ) is a must
- Exposure to sensitive data management is a plus
- Self learner and ability work independently is a must
- Exposure Programming language – Python good to have
- Exposure to Data Science goo to have
- Exposure to unix , sftp is a plus