Company Name:Tech mahindra ltd
Designation:Power BI Developer
Experience:4 – 7 years
Qualification:Any Graduate,Any Postgraduate
Job Description: SQL, ETL, BI, & Data Visualization
We are looking for Business Intelligence & Data Visualization with 4-7 years of experience who can fulfill the following criteria. He/She will be responsible for END TO END BI & Visualization solutions development and projects delivery across multiple clients. Also would be supporting in consulting engagement and should be able to articulate and architect the solution effectively to bring-in the values which data analytics & visualization solution can deliver.
The person will be required to:
Drive the development and analysis of data, reporting automation, Dash boarding, and business intelligence programs.
Ability to manage high volume and high complexity projects across multiple delivery location in virtual environment with excellent client communication skills
Highly competent technically with significant, hands-on expertise in technical architecture and delivery of data visualization and Analytics solution
Conduct business due-diligence activities to identify analytics led opportunities for transforming business
Traveling with in and outside of India on short term or long term basis
Develop a deep understanding of systems and processes in order to extract insights from existing data leveraging rigorous project management discipline to ensure the highest possible quality of delivery while managing team capacity
Required Skills and Experience
He/she should have solid understanding of SSIS (ETL) with strong SQL & PL SQL
He/She should have minimum 3 years of experience in data visualization tool – Power BI.
Must have worked on at least one of the database i.e. SQL Server, Oracle
Have been end to end implemented the BI & Reporting solution
Strong problem solving and conceptual thinking abilities
Ability to work in a fast-paced and deadline driven environment.
Ability to work as a consultant
Mentor team members in the area of BI and Visualization and provide guidance as necessary
Good understanding of Big Data eco system.
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