Bachelor's Degree or master’s degree in Computer Science, Mathematics, Statistics.
10+ 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
Responsibilities
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.