Power BI – Development & Workspace Management

Key Responsibilities:
• Design, build, and deploy automated dashboards and reports using Power BI across enterprise use cases.
• Act as Power BI Administrator managing tenant settings, governance policies, security controls, and usage monitoring.
• Manage Power BI workspaces across Dev, UAT, and Prod environments with proper access control and governance.
• Configure workspace roles, gateways, dataset refreshes and best practices to ensure reliable operations.
• Design and implement Row-Level Security (RLS), including dynamic RLS, to enable secure, role-based data access.
• Apply best practices in data modelling, visualization, and UX/UI-driven report design for effective storytelling.
• Perform data extraction, transformation, and integration from GCP, SAP, and other enterprise systems.
• Collaborate with IT and data engineering teams to deliver accurate, scalable, and high-performance reporting solutions.
• Partner with stakeholders to standardize reporting, drive automation, and promote self-service BI adoption.
• Deliver scalable reporting solutions that replace manual processes and support decision-making across all organizational levels.
Minimum Requirements:
• Proven experience in developing enterprise-grade dashboards and analytics solutions using Power BI.
• Strong coding capabilities in SQL (BigQuery), DAX, and Power Query (M).
• Solid understanding of security models including RBAC, RLS, OLS, and ILS.
• Experience with Power BI administration, including tenant settings, workspace governance, and access management.
• Hands-on experience managing gateways, dataset refreshes, and monitoring Power BI service performance.
• Ability to work with data from a wide range of business domains.
• High attention to detail with an analytical mindset and ability to translate data into meaningful, actionable insights.
• Excellent communication and presentation skills—able to explain complex data concepts to technical and non-technical audiences.
Preferable : 
• Basic Understanding of analytics engineering principles (e.g., Data Warehousing, Data Lakes, Delta Tables).
• Working experience on Power BI Report Builder for paginated reports
• Working experience in ETL/ELT pipelines using curated frameworks in Google Cloud Platform
• Basic knowledge with Python and Spark is desirable.