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Business Intelligence Analyst Resume

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PROFESSIONAL EXPERIENCE

Confidential

Business Intelligence Analyst

Responsibilities:

  • Document business requirements for Revenue management Track.
  • Develop solutions to a variety of problems of moderate complexity; Screen, categorize, evaluate, reconcile, report and resolve data integrity issues.
  • Work on assignments where considerable judgment and initiative are required in resolving problems and making choices, recommendations, or decisions.
  • Regularly exercise discretion and independent judgment on business matters; Involved with local or business specific engagement initiatives.
  • Conduct gap analysis between delivered functionality and client requirements and recommend solutions.
  • Assist with discovery around data sources and suitability to satisfy the requirements.
  • Prepare functional specification (or playbook) that describes the source of data and transformation to support the solution.
  • Prepare contingency plan if the target go - live date is missed and conversion cut-offs are revised (cutoffs, aggregation of data, switch back to legacy, turn off OTC billing).
  • Prepare specification for conversion validation reports to be used to verify source data versus converted end state.
  • Prepare mapping to FBDI templates or Don Tyson templates for loading to PaaS or upload to Cloud.
  • Support development and execution of roll out strategies, cut-over/transition plans, end-user training, and documentation.
  • Partnering with multiple Business and IT teams to deliver scalable, interdependent solutions across Oracle and connected technology ecosystem.
  • Custom solution designing and managing Reports, Interfaces, Conversions and Extensions (RICE) Components.
  • Requirements gathering, Planning, Analysis, Develop, Test, Implement, Integrate and Support Oracle Enterprise Resource Planning Application Solution set and the underlying technology components as part of the corporate-wide integrated business processes.
  • Support development and execution of roll out strategies, cut-over/transition plans, end user training, and documentation.

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