Ace technical analytics interviews with detailed query patterns for window functions, DAX CALCULATE filter contexts, iterative functions, and performance tuning.
Technical interviews for Business Intelligence and Data Analyst roles test deep analytical depth. Recruiters consistently push candidates to prove their mastery over complex SQL window functions, dimensional modeling, and intricate DAX calculations.
This is the single most frequently asked SQL interview question across top tech firms.
ROW_NUMBER() assigns a unique sequential integer regardless of ties. RANK() skips subsequent ranking positions when duplicate values occur. DENSE_RANK() assigns consecutive rank numbers without skipping duplicate values.
SELECT employee_id, department, salary, ROW_NUMBER() OVER(PARTITION BY department ORDER BY salary DESC) as row_num, RANK() OVER(PARTITION BY department ORDER BY salary DESC) as rnk, DENSE_RANK() OVER(PARTITION BY department ORDER BY salary DESC) as dense_rnk FROM employees;
In Power BI, CALCULATE is the only DAX function capable of modifying and overriding existing filter contexts. When writing enterprise metrics like Year-to-Date (YTD) sales or cross-filtered market shares, understanding context transition is vital.
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The definitive question bank of 25 technical and scenario-based interview questions asked by top Indian analytics consultancies and product companies, with clear solutions in SQL, Excel, and Power BI.
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