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Career Guide

Best SQL Skills for Data Analysts

The SQL concepts data analysts use most, from joins and aggregation to window functions and query optimization.

4 topics covered All guides

Core querying

Be comfortable with SELECT, filtering, CASE expressions, aggregation, joins, NULL handling, date functions, and common table expressions. Accuracy matters more than cleverness.

Window functions

Practice ROW_NUMBER, RANK, LAG, LEAD, and rolling aggregates. These patterns are common in retention, funnel, cohort, and period-over-period analysis.

Data quality and debugging

Check row counts, uniqueness, missing values, join cardinality, and unexpected duplication. Explain how you validated a result before sharing it.

Performance awareness

Learn to read a query plan at a basic level, filter early when appropriate, avoid unnecessary columns, and understand why indexes and table grain matter.

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This guide is for general interview preparation only. It does not guarantee interviews, job offers, salary outcomes, or employment results.

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