Interview Guides
Clean inputs are critical in marketing analytics because reporting in tools like Coca-Cola Consolidated campaign dashboards can be distorted by duplicates, blanks, invalid dates, and inconsistent labels.
Explain how you approach data cleaning and preparation when working in SQL. You should describe how you inspect raw data, identify missing or invalid values, standardize fields, and validate that the cleaned output is ready for downstream analysis.
Keep your answer practical and SQL-focused. The interviewer is looking for a structured approach rather than advanced modeling or pipeline architecture. It is enough to cover the common checks you would run, how you would handle NULLs and inconsistent text values, and how you would confirm the cleaned dataset is trustworthy.
