How to Answer SQL and Data Visualization Questions in a Deloitte Interview

In approaching a large dataset from a client, I would first clarify the objectives of the analysis—whether they seek to track sales performance, customer behavior, or operational efficiency. I would then use SQL to write queries that filter and aggregate relevant data, ensuring I focus on key metrics. After extracting the necessary data, I would employ a visualization tool like Tableau to create dashboards that clearly depict trends and patterns. For instance, I might visualize monthly sales figures to identify peak periods and correlate them with marketing campaigns. Finally, I would summarize these insights in a report, highlighting actionable recommendations, such as optimizing marketing efforts during high-sales months based on the findings.