Powerbi Developer

Job Description:

Required Skills :-
Power BI, SSRS, TSQL, Power Query, MDX, DAX, Oracle Server, Data Analytics


 

Job Description
• Using Power BI, create dashboards and interactive visual reports.
• Define key performance indicators (KPIs) with specific objectives and track them regularly.
• Analyze data and display it in reports to aid decision-making.
• Convert business needs into technical specifications and establish a timetable for job completion.
• Create, test, and deploy Power BI scripts, as well as execute efficient deep analysis.
• Use Power BI to run DAX queries and functions.
• Ability to work on large data sets and implement Incremental Refreshes.
• PowerBi Gateway tuning & setup
• Create charts and data documentation with explanations of algorithms, parameters, models, and relationships.
• Construct a data warehouse.
• Use SQL queries, Oracle procedures, Materialized views to get the best results.
• Make technological adjustments to current BI systems to improve their performance.
• For a better understanding of the data, use filters and visualizations.
• Analyze current ETL procedures to define and create new systems.

 

 
Key Objectives:
• Using Power BI, create dashboards and interactive visual reports.
• Define key performance indicators (KPIs) with specific objectives and track them regularly.
• Analyze data and display it in reports to aid decision-making.
• Convert business needs into technical specifications and establish a timetable for job completion.
• Create, test, and deploy Power BI scripts, as well as execute efficient deep analysis.
• Use Power BI to run DAX queries and functions.
• Ability to work on large data sets and implement Incremental Refreshes.
• PowerBi Gateway tuning & setup
• Create charts and data documentation with explanations of algorithms, parameters, models, and relationships.
• Construct a data warehouse.
• Use SQL queries, Oracle procedures, Materialized views to get the best results.
• Make technological adjustments to current BI systems to improve their performance.
• For a better understanding of the data, use filters and visualizations.
• Analyze current ETL procedures to define and create new systems.