Sr. PowerBI Analyst

21 hours ago

India ProArch Full time ₹ 6,00,000 - ₹ 12,00,000 per year
  • Understand business requirements in the BI context and design data models to convert raw data to meaningful insights
  • Create dashboards and visual interactive reports using Power BI
  • Identify KPIs with clear objectives and monitor them consistently
  • 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, and PowerBI
  • Analyze data and present it through reports that can help in decision-making
  • Convert business requirements into technical specifications and decide the timeline to accomplish tasks
  • Design, develop, and deploy Power BI scripts and perform efficient detailed analysis
  • Perform DAX queries and functions in Power BI
  • Create charts and document data with algorithms, parameters, models, and relations explanations
  • Conduct data warehouse development
  • Perform SQL querying for best results
  • Use filters and graphs for a better understanding of the data
  • Define and design new systems by analyzing current ETL processes
  • Knowledge of database fundamentals such as multidimensional database design, relational database design, and more.
Requirements


• BI tools: Skills in BI tools and BI systems, such as Power BI, SAP, Tableau, etc., creating data-rich dashboards, implementing Row-level Security (RLS) in Power BI, writing DAX expressions, developing custom BI products with scripting and programming languages such as R, Python, etc.


• Experience in data-specific roles: A minimum experience of two or three years of experience working with BI tools or any data-specific role with a sound knowledge of database management, data modeling, business intelligence, SQL querying, data warehousing, and online analytical processing (OLAP)


• Microsoft BI stack: In-depth understanding and experience with Microsoft BI stacks such as Power Pivot, SSIS, SSRS, and SSAS


• Data analytics: The ability to drill down on data and visualize it in the best possible way through charts, reports, or dashboards


• Software development skills: Understanding of software development architecture and technical aspects

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