dashboards, KPI scorecards, and KRI reports, etc. in Power BI Proficient in DAX and M queries Make recommendations Enterprise BI standards/best practices Experience Power BI and SSRS administration for on premises and cloud or in the cloud (e.g. MS SQL, Analysis Services, Power BI, Azure Synapse Analytics) Production experience experience working with DAX modelling measures (e.g. Power BI, Analysis Services, DAX Studio, Tabular Editor Editor or other external tools used with Power BI Desktop) Experience with relational databases (SQL/PLSQL/Hive)
dashboards, KPI scorecards, and KRI reports, etc. in Power BI
Minimum 5 years working experience in Python and Power BI of which at least 3 years must be programming experience in data analysis, visualisation, and Power BI development. Strong SQL and DAX skills for data degree. Certificate in MS Power BI is advantageous. Microsoft Certified: Power BI Data Analyst Associate
reports using tools like Power BI Automate business processes using tools like Power Automate Relevant tertiary Proficiency in data visualization tools such as Power BI Good understanding of database management, data process automation skills, using tools such as Power Automate
administration of Seta's Skills Development Programs and Learnerships would be beneficial. Additional Financial Management
administration of Seta’s Skills Development Programs and Learnerships would be beneficial.
administration of Seta's Skills Development Programs and Learnerships would be beneficial. Additional Financial Management
automation solutions using Microsoft Power Automate Flows and Desktop, Power Platform AI Builder, Microsoft
Experience to conventions of Logic Apps which is also Power Apps Supports production outages, upgrades Dealing principles in power platform design, implementation, implementation and operations Analyze current Power Platform Service Catalogue, Low Code, Logic Apps, Low Code, Power Apps
role. Certifications in Microsoft SQL Server or Power BI. 5 years of experience in SQL development within environment. Profound knowledge of Microsoft SQL Server, Power BI, T-SQL, SSIS, SSAS, and SSRS. Proven experience needs. Design and implement customized SQL and Power BI solutions to meet specific financial data reporting intelligence solutions leveraging Microsoft SQL Server, Power BI, and other technologies. Optimize SQL queries