Top SQL Interview Questions for Data Science in 2026
Why SQL Matters in Data Science Interviews
SQL remains the most tested skill in data science interviews. Whether you're applying to Google, Meta, or a fast-growing startup, you'll almost certainly face SQL questions. Here's what you need to know.
The Must-Know Topics
1. Joins
Understanding INNER, LEFT, RIGHT, and FULL OUTER joins is table stakes. But interviewers go deeper:
- Self-joins for hierarchical data
- Anti-joins using LEFT JOIN + WHERE IS NULL
- Cross joins for generating combinations
-- Classic: find employees who earn more than their manager
SELECT e.name, e.salary
FROM employees e
JOIN employees m ON e.manager_id = m.id
WHERE e.salary > m.salary;
2. Window Functions
Window functions separate strong candidates from average ones. Focus on:
ROW_NUMBER(),RANK(),DENSE_RANK()LAG()andLEAD()for time-series comparisons- Running totals with
SUM() OVER (ORDER BY ...)
-- Find the top earner in each department
SELECT *
FROM (
SELECT *, RANK() OVER (PARTITION BY dept ORDER BY salary DESC) as rk
FROM employees
) ranked
WHERE rk = 1;
3. CTEs and Subqueries
Common Table Expressions make complex queries readable. Interviewers love multi-step problems that test your ability to break down logic.
WITH monthly_revenue AS (
SELECT DATE_TRUNC('month', order_date) as month,
SUM(amount) as revenue
FROM orders
GROUP BY 1
)
SELECT month,
revenue,
LAG(revenue) OVER (ORDER BY month) as prev_month,
ROUND(100.0 * (revenue - LAG(revenue) OVER (ORDER BY month))
/ LAG(revenue) OVER (ORDER BY month), 1) as growth_pct
FROM monthly_revenue;
4. Aggregation and GROUP BY
HAVINGvsWHERE- Counting distinct values
- Conditional aggregation with
CASE WHEN
How to Prepare
- Practice daily — consistency beats cramming
- Write queries by hand — don't just read solutions
- Time yourself — most interviews give 15-20 minutes per question
- Explain your approach — communication matters as much as the answer
Practice These Questions
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