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Kavita

Financial Performance Analysis
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Member since30+ Days ago
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Contact Details
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Candidate Information
  • User Experience
    Experience 1 Year
  • Cost
    Hourly Rate$3
  • availability
    AvailabilityImmediate
  • work from
    Work FromOffsite
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    CategoryInformation Technology & Services
  • back in time
    Last Active OnMay 07, 2024
Key Skills
Power BISQL
Summary

EXPERIENCE SEQUEL INFORMATION TECHNOLOGIES PVT LTD (Jan 2021 – Present):

o Power BI Developer (Jan 2021 to till date):

o Experienced in developing dashboards for Finance & Sales domain

o Working with the principal developers to design, develop and deliver an entire application, i.e., interface, ETL, extract and BI application.

o In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract,transform,load)framework

o Power BI development experience with visualization and experience on advanced visualization tool.

o Experience in SQL Server. o Experienced in designing, architecting, development and deployment using Power BI.

o Good at creating different visualizations using Bar Chart, Slicers, Lines, Pies, Histograms, Maps, Scatter, Bullets, Heat Maps, Tree maps, etc. o Proficient at data visualization using Power BI and a strong application development.

o Expert knowledge using advanced calculations using MS Power BI (Aggregate, Date, Logical, String, Table).

o Work on performance optimization of the dashboards and reports.

o Develop SQL /DAX queries and support ad hoc requests for data

o Experience in Custom Visuals and Groups Creation.

o Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI.

o Extensive knowledge in Data analysis, Designing Interactive Dashboards/Reports and Data Modelling of Star Schema and Snow Flake Schema patterns.

o Good communication and logical mind Experience in Data Gateway for data Refreshing. OTHER SKILLS Power BI: Expertise in report and dashboard creation, transformations in Power Query and advance DAX, Expert knowledge using advanced calculations using MS Power BI (Aggregate, Date, Logical, String, Table). Databases: SQL Server, Excel.

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