Key roles for a successful analytical project | steps requires to analyze the datasets | Data Analytical project roles

 


Key roles for a successful analytics project:

  • Business user: This person can consult and advice the project team on the context of the project, the value of the result. Usually business analyst, line manager, or deep subject matter expert.
  • Project Sponsor: Provide impetus and requirements for the project and defined business problem. Generally provides the funding and gauges the degree of value from the final outputs of the working team. 
  • Project Manager: Ensures that key milestones and objectives are met on time and at the expected quality.
  • Business Intelligence Analyst: Creates dashboards and reports, and have knowledge of the data feeds and sources. Deep understanding of the data, KPI's (Key performance indicators), key metrics and BI reporting perspective. 
  • Database administrator (DBA): Provisions and configures database environment to support the analytics needs of the working team.
  • Data Engineer: Leverages deep technical skills to assists with tuning SQL queries for data management and data extraction. They work closely with the data scientists.
  • Data Scientist: Provide subject matter expertise for analytical techniques, modeling techniques, and applying valid analytical techniques to given business problem.


Key roles for a successful analytical project | steps requires to analyze the datasets | Data Analytical project roles
Key roles for a successful analytical project






















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