Business Analysis Interview Questions [Government/Public Sector]

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No one knows business analysis like Fhyzics do, an accomplishment demonstrated over years of business analysis practice, teaching and research carried out by Fhyzics Business Consultants Private Limited. Fhyzics business analysis initiatives are supported by FIBBAR, A Business Analysis wing, committed to the excellence in business analysis in corporate and academia. FIBAAR’s Business Analysis Schema is a holistic approach to business analysis and the only framework in the world that has due focus to domains, core competencies and peripheral competencies. For more details about FIBAAR, please visit

Business analysis skill set is analogous to that of a well balanced tripod. The three legs represent domain, core competencies and peripheral competencies as laid out in the Business Analysis Schema. In an interview setup, a business analyst who demonstrates exemplary skills in all the three areas are a great asset to companies and it is not an exaggeration that companies are longing to have such business analysts.

Business Analysis Interview Questions [Government/Public Sector] are compiled by the consultants and business analysts of FIBAAR and fully customized to the needs of the individual as certain practices and regulatory framework are specific to a given region or country. Since it is a customized eBook as soon as your order is placed, we will need certain information from you to serve you better. On providing the requested information, you will be delivered the Interview Questions within one business day or roughly 24 hours.

Skills expected for a business analyst in government/public sector domain:
  • Lead business analysis tasks and coordinates with IT project manager and stakeholders for the full business cycle of the related projects
  • Gather business information needs and prepare system requirements 
  • Should perform analysis, develop and evaluate data mining in a data warehouse environment which includes data design, database architecture, metadata and repository creation
  • Should be accustomed to data mining and data analysis tools. Should review and validate data in the data warehouse for accuracy
  • Should interact with user community to provide reporting requirements
  • Should provide prototyping solutions, formulates test scripts, conducts tests for data replication, extraction, loading, cleansing, and data modeling for data warehouses
  • Intermediate knowledge of Relational Database Management Systems (DBMS) and data warehouse front-end tools
  • Leads the design and aid of data architecture, database design with integration, transformations, and load techniques
  • Should perform data analysis on regular basis to design and develop appropriate design models for warehouse
  • Interpret client user requirements into abstract flows and data mappings
  • Must troubleshoot and provide technical assistance in the use and understanding of existing data warehouse applications

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