PowerBI on Fabric

PowerBI on Fabric

• Primary skills:Technology->Microsoft Technologies->App Fabric,Technology->Microsoft Technologies->PowerApps Minimum Qualifications: • Bachelor’s degree (or equivalent) in Engineering/Technology/Computer Applications/Science (BTech/BE/BSc/MCA or equivalent). • 2–3 years of experience delivering BI solutions using Power BI on Fabric. • Working experience with Microsoft Fabric concepts and components relevant to reporting and analytics delivery. • Strong understanding of data modeling fundamentals and building reliable metrics for reporting. • Ability to collaborate with cross-functional teams and communicate insights clearly to technical and non-technical users. Preferred Qualifications: • Experience implementing end-to-end reporting solutions within Microsoft Fabric environments, including structured deployment and workspace practices. • Strong proficiency in DAX and Power Query for building reusable measures, transformations, and scalable models. • Exposure to Lakehouse/Warehouse-based reporting patterns and working with curated datasets for enterprise BI. • Experience with performance tuning for datasets and reports, including model optimization and visual efficiency improvements. • Demonstrated ability to define KPI frameworks, build executive-ready dashboards, and drive adoption through user-centric design. Good to have skills: DAX, Power Query, Data Modeling, SQL, Dashboard Performance Optimization Key Responsibilities: • Design, develop, and maintain Power BI reports and dashboards on Fabric aligned to business requirements and KPIs. • Build and optimize semantic models, measures, and calculations to ensure accuracy, consistency, and usability. • Connect, transform, and model data within Fabric-enabled workflows to support reliable reporting outcomes. • Ensure report performance through efficient modeling, visual best practices, and query optimization techniques. • Implement governance basics such as workspace organization, dataset/report lifecycle practices, and access controls. • Partner with stakeholders to gather requirements, translate them into BI solutions, and iterate based on feedback. • Troubleshoot data and visualization issues, ensuring timely resolution and stable production support. • Document dashboards, datasets, and key definitions to improve maintainability and knowledge sharing.