Power BI

Technology->Cloud Platform->Power Platform->Power BI-DAX, Power Query, SQL, Data Modeling, Data Warehousing

Key Responsibilities: Power BI Solution Delivery

• Lead the design, development, and deployment of Power BI reports, dashboards, and semantic models aligned to business goals.
• Translate business requirements into effective data visualizations and KPI frameworks, ensuring clarity and usability for end users.
• Define report standards, reusable templates, and visualization best practices to ensure consistency across deliverables. Data Modeling & Performance
• Build and optimize data models, measures, and calculations to support scalable analytics and high-performing dashboards.
• Troubleshoot performance bottlenecks and implement optimization techniques for datasets, visuals, and refresh cycles. ETL & Data Integration
• Partner with data engineering teams to define ETL requirements and ensure clean, reliable, and well-documented data pipelines.
• Validate data quality and ensure reconciliation between source systems and BI outputs. Leadership & Stakeholder Management
• Lead technical discussions with stakeholders, manage expectations, and provide clear delivery plans and status updates.
• Mentor BI developers/analysts, conduct reviews, and enforce development standards and governance practices.
• Support production operations by handling enhancements, bug fixes, and root-cause analysis for BI issues. Minimum Qualifications:
• BTECH, MTECH, MCA, or MSC.
• 7–9 years of overall experience with strong hands-on expertise in Power BI development and delivery.
• Proven experience in building enterprise dashboards, reports, and data models in Power BI.
• Strong experience working with ETL processes and collaborating on data integration requirements.
• Ability to gather requirements, translate them into BI solutions, and communicate effectively with business and technical teams. Preferred Qualifications:
• Experience leading BI initiatives end-to-end, including planning, estimation, and delivery governance.
• Strong understanding of analytics lifecycle: requirement discovery, semantic modeling, visualization, validation, and rollout.
• Experience implementing access controls and governance practices for enterprise BI usage.
• Track record of improving dashboard performance, usability, and adoption through best practices and stakeholder feedback loops.
• Experience coaching team members and establishing standards for documentation, versioning, and release management.