Top 100 SQL Interview Questions For Data Analyst Interviews

WHAT YOU'LL LEARN

• Core SQL Querying

  Master SELECT statements, filtering, sorting, and grouping to confidently retrieve and organize data from any table.

• Joins and Relationships

  Understand how to combine data across multiple tables using inner, left, right, and self joins to answer real business questions.

• Subqueries and Window Functions

  Learn to write nested queries and use window functions like RANK, ROW_NUMBER, and LEAD/LAG for advanced data analysis.

• Query Optimization and Aggregations

  Build efficient queries using aggregate functions, GROUP BY, HAVING, and performance best practices used in real interviews.

WHY THIS TOPIC MATTERS

SQL is a core skill for every data analyst. Interviewers use it to check how well you solve real data problems, not just syntax. Most data analyst jobs need SQL daily for reports and analysis, so it's a key part of almost every interview. Practicing joins, subqueries, window functions, and aggregations will help you crack interviews and do better in your daily work.

You'll learn from

Rutvik Acharya

Principal Data Scientist @ Atlassian

Principal Data Analyst at Atlassian with expertise in product analytics, business intelligence, and data-driven decision-making. Experienced in transforming complex data into actionable insights that drive product and business growth.