Financial analysts at Argus Information & Advisory Services often work with transaction and reporting extracts that contain missing values, duplicates, inconsistent labels, and invalid amounts. Clean inputs are critical because even simple aggregation queries can produce misleading financial results if the source data is not standardized first.
Explain the common data-cleaning techniques you use when preparing financial reports in SQL. Your answer should cover:
Keep the discussion practical and SQL-focused. The interviewer is looking for a structured explanation of the checks you would perform before building summaries, month-end reporting tables, or analyst-facing outputs in Argus reporting workflows.