Razorpay Data Analyst Interview Guide

Razorpay Data Analyst candidates should prepare first for practical SQL reasoning, rather than syntax recall. One report describes medium-difficulty table-based SQL alongside discussion of previous work; another describes indexing choices, cumulative sums, self-join output, query execution order, joins, and window functions. Be ready to explain the logic behind a query and the trade-offs in an indexing choice, not simply deliver a final statement.

The role-specific discussion can then shift from the query to what the analysis means. Reported questions covered the impact of past projects, presenting the same analysis differently to a Product Manager and leadership, and product-style root-cause-analysis case studies. A candidate also encountered a puzzle, but described deeper case reasoning as the more important part of that conversation. Basic Python, A/B testing, probability, and aptitude appeared in individual reports as supporting topics.

One candidate reported a Hackerearth online assessment with aptitude, probability, combinatorics, and two SQL questions; another reported two rounds beginning directly with SQL and experience discussion. The evidence is limited to two role-adjacent reports, so the assessment should be treated as a possible entry point rather than a universal stage. Build answers around a clear analytical chain: define the business question, query accurately, validate the result, and communicate the decision implication to the intended audience.