Business Intelligence Tool Proficiency Questions

Covers knowledge and hands on skills using enterprise business intelligence tools such as Power BI and Tableau. Candidates should demonstrate the end to end workflow: connecting to diverse data sources including spreadsheets, relational databases, data warehouses, and cloud services; exploring and profiling data to understand schema and quality; and performing data transformation and cleaning using extract transform load processes or built in tool features. Includes building efficient data models with appropriate relationships, hierarchies, and performance minded design, and understanding when to use extracts versus live connections and aggregation strategies. Candidates should be able to create visualizations and interactive dashboards by mapping fields to charts, selecting appropriate chart types, applying filters and parameters, configuring drill down and drill through interactions, and assembling visuals into coherent reports. Covers calculated fields and custom metric creation using expression languages such as Data Analysis Expressions and Tableau table calculations, and awareness of performance implications of complex calculations. Also includes familiarity with differences between paginated reports and interactive dashboards, publishing and sharing workflows, deployment and distribution strategies, governance and access controls including row level security and workspace organization, versioning and refresh scheduling, and basic troubleshooting and optimization techniques. Candidates should be prepared to discuss real projects where they chose visualizations, resolved data quality or performance challenges, iterated on stakeholder feedback, and measured adoption and business impact.