Required Skills

Data Analyst

Work Authorization

  • Us Citizen

  • Green Card

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 9th Feb 2022


  • 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.


  • 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


Company Information