Intuit Interview Questions
Practice 42 real Intuit interview questions for 2026. Covers top categories with a software-engineering and coding emphasis — Coding & Algorithms, System Design — followed by Data Manipulation (SQL/Python), Analytics & Experimentation, Machine Learning, and behavioral rounds. Intuit interview questions on this page reflect what hiring teams evaluate in interview preparation: clear algorithmic thinking, pragmatic product sense, metric-first analytics, and clean, testable code. Expect a mix of live coding, take-home/build tasks, SQL/Python data pivots, an applied experiment or metric-design prompt, and behavioral storytelling tied to impact and ownership. For specific roles, sample themes repeat across positions. Software Engineer interviews focus on algorithm and complexity problems (stack/DP/LRU-LFU patterns), scripting and parsing tasks (bash, filename/ls output), SQL aggregation, and AI feature design and prompt constraints. Data Scientist rounds concentrate on feature engineering and missing-data imputation (ZIP handling), classification metrics (precision/recall/F1), cohort and retention analysis, experiment design and KPI diagnosis, plus hands-on SQL/Python pivots and predictive-model exercises. Product Analyst questions center on experiment design for funnels, multi-entry scorecard interpretation, and dealing with unavailable predictive features. Use mixed practice: timed coding drills, SQL pivot exercises, clear metric writeups, and concise behavioral STAR examples.
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"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Design a "Future Best-Sellers" Prediction and Recommendation System
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Calculate Precision, Recall, and F1
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Design AI feature launch and data collection
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Decide when to model courier ETA
This question evaluates a candidate's competency in machine learning product decisions—covering target definition, dispatch-time feature design, offli...
Diagnose rising delivery cost precisely
Problem: Delivery Cost per Order Increased — Design an Analysis Plan Context A restaurant reports a significant increase in delivery cost per order in...
Explain a non-linear industry switch
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Compute churn and revenue churn in SQL
You receive monthly end-of-month subscription snapshots and must compute August-2025 churn metrics. Schema and sample data: Table: subscription_monthl...
Build 30-day retention cohort table
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