Consultant, Power BI

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Consultant, Power BI

Fractal Analytics

Mumbai INR 12 - 15 LPA Experience : 2 - 5 YRS. Openings: 5

Details:

Role Brief:

2-5 years of experience in Analytics/Visualizations & good project work experience using Power BI.

Brief about the Team & Fractal:

Fractal Analytics is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics & AI to the decision making process. In 2007, the company became India’s second-largest analytics company.

Fractal has more than 1,200 employees spread across 14 global locations including the United States, UK, Ukraine and India. Fractal has been featured as a leader in the Customer Analytics Service Providers Wave™ 2017 by Forrester Research, a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute, and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Min. Qualification:

Desired Candidate

  • Strong experience with Power BI - Experienced in all aspects of Power BI, including establishing gateways, use of embedding, DAX and M
  • Hands-on experience deploying the PBI service to mid-market and/or enterprise scale organizations
  • Hands on experience of data manipulation in SQL
  • Proficient designing and implementing data models and data integration
  • Ability to architect and design reporting solutions based on client needs

Education: 

Preferably an MBA or an Engineer with relevant experience

Skills Required:

Power BI, SQL

Roles:

  • Design and develop Power BI dashboards
  • Understand the business requirements/ questions to be answered
  • Align on KPIs and data sources to be used
  • Design and align on mock-ups
  • Define visuals and key KPI’s that enables speed to insight
  • Work with IT team closely to perform data extraction and data transformation processes to create the data set required for the dashboard
  • Develop the mock-up design in Power BI and load the dashboard with real data
  • Implement feedback from business users and create final version of the dashboard
  • Scale, maintain and improve existing solutions
  • Refresh the prototype with live data
  • Perform data transformations (if required) to make data in format which can be easily scaled across different geographies/ categories
  • Implement feedback from business users and further enhance the dashboard
  • Migrating solutions to production environment
  • Modify the processes (if required) to ensure they are set-up correctly to enable refresh of dashboard at aligned intervals in the production environment
  • Prepare holistic documentations (process and technical) to enable proper knowledge transfer of both process and solution to the production team
  • Enable seamless transition via shadow and reverse shadow process
  • Support and consult the production team if required

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