Data
Roles A mid-level Power BI developer carries out more advanced responsibilities and greater independence compared to an entry-level position. They have the ability to handle more complex tasks and a deeper understanding of the tool and its capabilities.
Responsibilities
Data Modeling and Integration: Develop and maintain complex data models, including establishing relationships, hierarchies, and calculated columns. Manage data integration tasks, including data source connections and data transformation processes.
Report and Dashboard Development: 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.
Advanced Data Analysis: Perform complex data analysis tasks using DAX (Data Analysis Expressions) functions to create calculated measures and solve intricate business problems. Develop advanced DAX calculations for financial, statistical, or performance analysis.
Performance Optimization: Optimize report and dashboard performance by improving data queries, data model efficiency, and report rendering speed. Identify and address bottlenecks and resource constraints.
Data Transformation and ETL Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures.
Data Governance and Security: Implement data governance practices, including data access controls, role-level security, and data lineage documentation. Ensure compliance with data protection regulations.
Collaboration and Requirements Gathering: 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.
Data Extraction and Transformation: Proficiency in using Power Query for data extraction, transformation, and cleaning from various sources.
Data Modeling: Ability to create and manage data models in Power BI, including defining relationships between tables and establishing hierarchies.
Data Analysis Expressions (DAX): Mastery of DAX formulas and functions for performing calculations, aggregations, and custom calculations in Power BI.SQL and Data Querying: Proficiency in SQL for querying and manipulating data, especially when working with databases as data sources.
Expertise in using Microsoft Power BI, including Power BI Desktop, Power Query, Power Pivot, and Power BI Service (cloud-based platform).Strong knowledge of DAX (Data Analysis Expressions) for creating complex calculations, measures, and calculated columns in Power BI.Proficiency in SQL for data querying and manipulation, especially when dealing with relational databasesExperience with data integration, ETL (Extract, Transform, Load) processes, and data cleansing using Power Query.Familiarity with data visualization best practices and the ability to create visually appealing and insightful reports and dashboards.Knowledge of advanced Power BI features such as custom visuals, themes, bookmarks, drill-through actions, and custom report distribution.Understanding of data warehousing concepts, data modeling, and data architecture.
Ability to work with various data sources, including databases (SQL, Azure, etc.), Excel, SharePoint, APIs, and web services.
Roles A mid-level Power BI developer carries out more advanced responsibilities and greater independence compared to an entry-level position. They have the ability to handle more complex tasks and a deeper understanding of the tool and its capabilities.
Responsibilities
Data Modeling and Integration: Develop and maintain complex data models, including establishing relationships, hierarchies, and calculated columns. Manage data integration tasks, including data source connections and data transformation processes.
Report and Dashboard Development: 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.
Advanced Data Analysis: Perform complex data analysis tasks using DAX (Data Analysis Expressions) functions to create calculated measures and solve intricate business problems. Develop advanced DAX calculations for financial, statistical, or performance analysis.
Performance Optimization: Optimize report and dashboard performance by improving data queries, data model efficiency, and report rendering speed. Identify and address bottlenecks and resource constraints.
Data Transformation and ETL Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures.
Data Governance and Security: Implement data governance practices, including data access controls, role-level security, and data lineage documentation. Ensure compliance with data protection regulations.
Collaboration and Requirements Gathering: 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.
Data Extraction and Transformation: Proficiency in using Power Query for data extraction, transformation, and cleaning from various sources.
Data Modeling: Ability to create and manage data models in Power BI, including defining relationships between tables and establishing hierarchies.
Data Analysis Expressions (DAX): Mastery of DAX formulas and functions for performing calculations, aggregations, and custom calculations in Power BI.SQL and Data Querying: Proficiency in SQL for querying and manipulating data, especially when working with databases as data sources.
Expertise in using Microsoft Power BI, including Power BI Desktop, Power Query, Power Pivot, and Power BI Service (cloud-based platform).Strong knowledge of DAX (Data Analysis Expressions) for creating complex calculations, measures, and calculated columns in Power BI.Proficiency in SQL for data querying and manipulation, especially when dealing with relational databasesExperience with data integration, ETL (Extract, Transform, Load) processes, and data cleansing using Power Query.Familiarity with data visualization best practices and the ability to create visually appealing and insightful reports and dashboards.Knowledge of advanced Power BI features such as custom visuals, themes, bookmarks, drill-through actions, and custom report distribution.Understanding of data warehousing concepts, data modeling, and data architecture.
Ability to work with various data sources, including databases (SQL, Azure, etc.), Excel, SharePoint, APIs, and web services.