Job Overview
            
                
                
                
                    Category
                    Computer Occupations
                 
                
             
            
            
         
        
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            Job Description
            
                Key Responsibilities
Design and develop  interactive dashboards and reports  in Power BI using DAX, Power Query (M), and data modeling best practices.
Build and manage  Power Automate flows  to streamline business processes and automate recurring data operations.
Use  Python  for advanced data wrangling, API integrations, and custom analytics not natively supported by Power BI.
Develop  ETL pipelines  integrating diverse sources (SharePoint, Dataverse, SQL Server, Excel, APIs, etc.).
Collaborate with stakeholders to translate business requirements into scalable technical solutions.
Implement  role-based access control (RBAC) , dataset refresh schedules, and gateway configurations.
Optimize query performance and data refresh reliability across Power BI and Fabric.
(Nice-to-have) Work with  Microsoft Fabric’s Lakehouse, Dataflows Gen2, and Notebooks  for unified data and analytics development.
Maintain documentation and ensure adherence to governance, compliance, and data security standards.
Required Skills & Experience
4–8 years of professional experience in  Power BI  (data modeling, DAX, report design, and performance tuning).
2+ years of experience with  Power Automate / Power Apps  (workflow design, approval processes, connectors, etc.).
Strong proficiency in  Python  (Pandas, Requests, REST API handling, data transformations).
Good understanding of  SQL  and relational data concepts.
Experience integrating Power BI with  Azure services  (e.g., Synapse, Data Lake, Logic Apps) preferred.
Excellent problem-solving, analytical, and communication skills.
Good-to-Have
Experience with  Microsoft Fabric , particularly with  Lakehouse, Data Warehouse, Data Factory, and Notebooks .
Exposure to  Azure DevOps CI/CD pipelines  for Power BI deployments.
Familiarity with  enterprise data governance  frameworks and data lineage tools.
Education
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
Microsoft certifications such as  PL-300 (Power BI Data Analyst)  or  PL-500 (Power Automate RPA Developer)  are a plus.
            
         
  
  
  
        
        
        
        
        
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