Power BI Consultant | HCLTech
The Digital Path Forward

Power BI Consultant

Roles and Responsibilities

  • Analysis of Business Requirements Document
  • Review Design & UAT Test Cases Documents
  • Report and dashboards development and Unit Testing
  • Support for SIT & UAT activities for bug fix
  • Support for Production Deployment
  • Create documentation of operational tasks, procedures and automated processes.
  • Fix faults and restore the operability or carry out suitable measures (creation of workaround)
  • Attend stand-up meetings and provide updates
  • Develop solutions and POC’s based on customer and project needs
  • Conceptualize a new product or, new feature or, new component and to test new technologies or features through PoCs

Required Technical and Professional Expertise

  • 4+ Years Experience using PowerBI
  • 4+ Years Experience using other data visualization tools such as Looker, Tableau or Qlik
  • Experience working on a Cloud Platform (Azure/AWS/GCP)
  • Experience working on DW tools – Azure SQL DW(Synapse), AWS Redshift, Google Big Query
  • Experience in BI tool administration, reporting, and automation
  • Experience mapping data requirements to KPIs as part of agile projects
  • To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements.
  • To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology.
  • To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated.
  • To ensure process improvement and compliance in the assigned module, and participate in technical discussions or review.
  • To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalations.
  • To create work plans, monitor and track the work schedule for on time delivery as per the defined quality standards.
  • Prefer experience in predictive modelling (e.g. Logistic Regression, Random Forest, Ada-Boost).

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