New

Sr. Associate - Power BI (Information Technology)/ 1272 days ago

Noida Sector 27, Noida

6 To 10 INR Lacs

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Job Preference:

• BE in Computer Science/Information System

Job Description:

• Ability to interact with business as well as technical teams.
• Comprehensive knowledge of data design, data modelling, data management, and data
• visualization.
• Develop operational reports
• To understand business requirements in the BI context and design data models to convert raw data
• to meaningful insights.
• To create dashboards and visual interactive reports using Power BI.
• To identify KPIs with clear objectives and monitor them consistently.
• To analyse data and present it through reports that can help in decision-making.
• To be able to convert business requirements into technical specifications and decide the timeline
• to accomplish tasks.
• To design, develop, and deploy Power BI scripts and perform efficient detailed analysis.
• To perform DAX queries and functions in Power BI.
• To create charts and document data with algorithms, parameters, models, and relations
• explanations.
• To conduct data warehouse development.
• To perform SQL querying for best results.
• To use filters and graphs for a better understanding of the data.
• To define and design new systems by analysing current ETL processes.
• To make technical changes to existing BI systems to enhance their working.
• Build automated reports and dashboards with the help of Power BI and other reporting tools.
• Understand business requirements to set functional specifications for reporting applications.
•  Be experienced in tools and systems on MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI, and DAX.
• Be able to quickly shape data into reporting and analytics solutions.
• Create functional reporting
• Have knowledge of database fundamentals such as multidimensional database design, relational
• database design, and more
• • Strong communication and client management skills.

Qualification:

Skills:

• SQL
• Data design
• Data modelling
• Data management
• Data visualization.