Design robust star-schema-based data models with proper relationships and filter directions Write and optimize DAX expressions, understanding context transitions and storage behavior Apply advanced Power Query (M) skills for ETL, including incremental refresh and query folding Follow visual analytics best practices, balancing performance, accessibility, and insight clarity Configure Row-Level and Object-Level Security (RLS/OLS) with dynamic and inherited roles Tune report and model performance using composite models, aggregations, and usage metrics Manage Power BI service environments, including workspace roles and deployment pipelines Use built-in AI visualizations and forecasting tools, integrating with Azure Cognitive Services Implement lifecycle management practices including version control and CI/CD deployment Understand and communicate using a shared BI vocabulary across technical and business teams Use the diagnostic feedback report to identify and close competency gaps for continued development