Your question is SQL Validation and Profiling Techniques. 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 analysts regularly need to sanity-check source data before building reporting in Raymond James systems. Interviewers ask this to see whether you can quickly assess completeness, consistency, and suspicious values using straightforward SQL.
Explain which PostgreSQL functions and SQL techniques you rely on most often for data validation and profiling. Your answer should cover how you check for missing values, duplicates, invalid ranges, unexpected categories, and basic distribution issues. You should also describe how GROUP BY, aggregate functions, CASE WHEN, and COALESCE help you inspect data quality in practice.
Keep the answer practical and analyst-focused. You do not need to discuss advanced data quality frameworks or pipeline orchestration. Focus on the SQL patterns you would actually use first when profiling a new table or validating a feed used in Raymond James reporting.