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.