Extensive experience in working with Power BI Desktop and Power BI Service.
Good hands-on experience with DAX Queries.
Experience in connecting with multiple sources using Power BI both on the cloud and on-premises and being aware of (with hands-on experience) aspects like Disaggregating and Aggregating data, Transformation functions, Subscription, Power BI Embedded, Sharing & collaboration, Data Security, Data alert.
Work Experience in Optimization Techniques at Power BI.
Advanced knowledge of ETL processes with Power Query.
Familiarity with cloud platforms (e.g., Azure).
Proficiency in programming languages such as Python.
Basic knowledge of statistical methods and data modelling.
Responsibilities:
Develop, optimize, and maintain Power BI dashboards for clear data visualization and actionable insights.
Creating complex DAX calculations and measures to support data analysis.
Perform data analytics using Python, Power BI, or other BI tools, must have excellent analytical thinking and problem-solving skills.
Troubleshoot and resolve data-related issues and provide support for data operations.
Document technical solutions and processes for future reference.
Providing training and support to end users on using Power BI.