Your question is SQL for Dashboard-Ready Analysis. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Data visualization is only useful when the underlying SQL produces clean, correctly aggregated, and business-ready outputs. In analyst roles, interviewers often want to hear how you turn raw data into something that can be visualized clearly in tools such as Dell Technologies reporting environments or standard BI dashboards.
Discuss your experience with data visualization tools and explain how you use PostgreSQL queries to prepare data for dashboards. You should describe how you decide the right level of aggregation, how GROUP BY supports chart-ready summaries, how you handle nulls or inconsistent values before visualization, and how you validate that a chart reflects the intended metric.
Keep your answer practical rather than theoretical. The interviewer is looking for how you connect SQL data manipulation to dashboard creation, metric clarity, and stakeholder communication, not a deep discussion of visualization design theory alone.