Handling Incomplete Financial Data

You are given Ati financial data that appears incomplete or inconsistent across related tables. Explain how you would use SQL to investigate missing joins, NULL-heavy fields, duplicate records, and conflicting values before producing a final reporting dataset.

Keep the answer SQL-first and practical. The interviewer is looking for a structured workflow, not just a list of generic data quality problems.

Problem

What This Tests

Using LEFT JOINs to find unmatched records
Using aggregations to profile and reconcile data
Using CASE WHEN to classify anomalies
Explaining when to filter, flag, impute, or escalate issues

Expected Depth

Keep the answer SQL-first and practical. The interviewer is looking for a structured workflow, not just a list of generic data quality problems.

Problem

What This Tests

Using LEFT JOINs to find unmatched records
Using aggregations to profile and reconcile data
Using CASE WHEN to classify anomalies
Explaining when to filter, flag, impute, or escalate issues

Expected Depth

Keep the answer SQL-first and practical. The interviewer is looking for a structured workflow, not just a list of generic data quality problems.

Problem

What This Tests

Using LEFT JOINs to find unmatched records
Using aggregations to profile and reconcile data
Using CASE WHEN to classify anomalies
Explaining when to filter, flag, impute, or escalate issues

Expected Depth

Keep the answer SQL-first and practical. The interviewer is looking for a structured workflow, not just a list of generic data quality problems.

Interview Guides

Problem

What This Tests

Expected Depth

Problem

What This Tests

Expected Depth

Handling Incomplete Financial Data

Problem

What This Tests

Expected Depth

Problem

What This Tests

Expected Depth