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Data Analytics Professional
2 weeks ago
- Power BI expertise: In-depth knowledge of Power BI Desktop, Service, and administration, designing and implementing complex data models, reports, and dashboards
- Data modeling: A strong understanding of dimensional modeling concepts (including Kimball) and best practices for building efficient and scalable data models in Power BI
- DAX proficiency: Writing complex DAX formulas to manipulate and analyze data creating dynamic and insightful reports
- Data transformation expertise: Proficiency in Power Query (M) for data cleansing, transformation, and shaping within Power BI
- Data integration: Experience integrating data from various sources relational databases, cloud storage, APIs into Power BI using best practices for data extraction, transformation, and loading (ETL/ELT)
- T-SQL skills: Writing efficient T-SQL queries to extract, manipulate, and test data from relational databases for use in Power BI
- Microsoft Fabric and Azure familiarity: Working knowledge and experience in Microsoft Fabric and the Azure cloud platform including Azure Synapse Analytics, Azure Data Lake Gen2, and Azure SQL Database