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Analyst - Business Intelligence & Data Warehousing Resume

SUMMARY:

  • Effectively coordinate tasks to accomplish projects with creativity and timeliness
  • Able to strategize and prioritize effectively to accomplish multiple tasks and stay calm under pressure
  • Able to adapt to changing priorities and maintain a positive attitude and strong work ethic

TECHNICAL SKILLS:

  • Developed knowledge about Retail, Banking and Financial Sector Domain
  • Trained and worked in Data Analysis, Data Warehousing, Business Intelligence and Database Design.
  • Worked in SQL, MS Excel, MS Powerpoint and MS Office suite.
  • Worked and trained in tools like IBM DataStage, Ab Initio and Tableau.

PROFESSIONAL EXPERIENCE:

Confidential

Analyst - Business Intelligence & Data Warehousing

Responsibilities:

  • Lead project and developing project plans (objectives, scope, and timing)
  • Documented business requirements, maintained all documentation related to project
  • Involved in requirement refinement and making of BRD and MDD
  • Collected, analyzed and managed quantitative data, cleansed data using technical and business validation rules.
  • Visualize data insights using data visualization tools such as Tableau.
  • Responsible for preparing the test case for unit testing and user acceptance testing.
  • Involved in developing the applications in Data warehousing using ETL tools like Ab Initio and IBM DataStage.
  • Responsible for designing and developing the SQL queries for data management, reporting and analysis.
  • Translated business needs into data requirements and data structures in support of reporting, and analytics
  • Understood business objectives, data questions, and site-tagging problems to ensure accuracy of data.
  • Work with SMEs to model systems, data modelling, and prototyping.
  • Support SMEs in data definition and mapping tasks using SQL, created dashboard using Tableau.
  • Support testing of requirements from beginning to end and identify issues as early as possible
  • Support the planning and implementation of data design services.
  • Collected, analyzed and managed quantitative data using ETL tools and created meaningful reports to drive business decisions. Created ETL mappings to transform data to layouts of external systems.

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