Nodejs

As a mid-level Power BI developer, you will be responsible for handling more advanced tasks and demonstrating greater independence compared to an entry-level position. You should have a deep understanding of the tool and its capabilities. Your main responsibilities will include: - Develop and maintain complex data models, establish relationships, hierarchies, and calculated columns. - Manage data integration tasks, including data source connections and data transformation processes. - Independently design and create interactive and visually compelling reports and dashboards using Power BI Desktop. - Implement advanced features like bookmarks, drill-through actions, custom themes, and custom visuals. - Perform complex data analysis tasks using DAX functions to create calculated measures and solve intricate business problems. - Develop advanced DAX calculations for financial, statistical, or performance analysis. - Optimize report and dashboard performance by improving data queries, data model efficiency, and report rendering speed. - Identify and address bottlenecks and resource constraints. - Handle more complex data transformation and ETL processes, including data from multiple sources and dealing with complex data structures. - Implement data governance practices, including data access controls, role-level security, and data lineage documentation. - Collaborate closely with business analysts, stakeholders, and end-users to gather and refine requirements for reports and dashboards. - Act as a bridge between technical and non-technical stakeholders. - Proficiency in using Power Query for data extraction, transformation, and cleaning from various sources. - Ability to create and manage data models in Power BI, define relationships between tables, and establish hierarchies. - Mastery of DAX formulas and functions for performing calculations, aggregations, and custom calculations in Power BI. - Expertise in designing interactive and visually appealing reports and dashboards using Power BI Desktop, including selecting appropriate visualizations and arrangements. As a mid-level Power BI developer, you will be responsible for handling more advanced tasks and demonstrating greater independence compared to an entry-level position. You should have a deep understanding of the tool and its capabilities. Your main responsibilities will include: - Develop and maintain complex data models, establish relationships, hierarchies, and calculated columns. - Manage data integration tasks, including data source connections and data transformation processes. - Independently design and create interactive and visually compelling reports and dashboards using Power BI Desktop. - Implement advanced features like bookmarks, drill-through actions, custom themes, and custom visuals. - Perform complex data analysis tasks using DAX functions to create calculated measures and solve intricate business problems. - Develop advanced DAX calculations for financial, statistical, or performance analysis. - Optimize report and dashboard performance by improving data queries, data model efficiency, and report rendering speed. - Identify and address bottlenecks and resource constraints. - Handle more complex data transformation and ETL processes, including data from multiple sources and dealing with complex data structures. - Implement data governance practices, including data access controls, role-level security, and data lineage documentation. - Collaborate closely with business analysts, stakeholders, and end-users to gather and refine requirements for reports and dashboards. - Act as a bridge between technical and non-technical stakeholders. - Proficiency in using Power Query for data extraction, transformation, and cleaning from various sources. - Ability to create and manage data models in Power BI, define relationships between tables, and establish hierarchies. - Mastery of DAX formulas and functions for performing calculations, aggregations, and custom calculations in Power BI. - Expertise in designing interactive and visually appealing reports and dashboards using Power BI Desktop, including selecting appropriate visualizations and arrangements.