Master the SQL Interview
Real frameworks, real interview questions, and the answer structures FAANG and AI-startup data analysts actually need — built for every role and seniority level.
FAANG
Real interview questions and patterns from Meta, Google, Amazon, Apple, and Netflix.
The Meta Data Analyst SQL Interview — Real Questions + Frameworks
Inside the Meta data interview loop: the four categories of SQL they actually ask, the frameworks senior analysts use to structure answers, and the patterns that get you to the next round.
The Google Analytical Interview — How They Actually Test SQL
Google's analytical interview isn't just SQL — it's a test of how you turn ambiguity into a query plan. Here's the structure, the example questions, and the answer framework that scores.
The Amazon Data Engineer SQL Interview — What's Different
Amazon evaluates SQL differently than Meta or Google: scale, performance, and writing queries you'd ship to production. Here's what to expect and how to prepare.
AI Startups
How OpenAI, Anthropic, and growth-stage AI companies actually interview data hires.
Inside the OpenAI / Anthropic / xAI Data Hire — What They Test
AI labs hire analysts for product-led growth, model evals, and trust & safety. Here's how their SQL interviews differ from FAANG and what to bring to the table.
How AI Startups Interview Data Scientists in 2026
Pre-Series-B AI companies hire differently. Less LeetCode, more business judgment. Here's the playbook for the new analytical interview.
SQL Interviews at Series A vs Series C — What Changes
Early-stage startups test ownership and instincts. Late-stage tests rigor and scale. Here's how to read the room and answer accordingly.
By Role
Tailored prep for Analysts, Data Scientists, PMs, and AI Engineers.
The Data Analyst SQL Interview Playbook
Every category of SQL question you'll see in a data analyst loop, with frameworks for each and the mistakes that cost offers.
The Product Manager SQL Interview (Yes, You Need It)
Top PM loops at Meta, Stripe, and Linear test SQL fluency. Here's the bar, the question patterns, and how to prep without becoming a full-stack analyst.
The Growth Analyst SQL Interview — Cohorts, Funnels, Retention
Growth is the domain where SQL gets analytical. Here are the three pattern types interviewers actually test and how to nail each.
The Data Scientist SQL Interview — Beyond LeetCode
Most SQL prep tools optimize for puzzles. Real DS interviews test analytical judgment. Here's what changes and how to prep for the gap.
Beyond StrataScratch — Why the Top SQL Prep Sites Still Miss Senior Interviews
LeetCode and StrataScratch teach SQL puzzles. Senior interviews ask analytical judgment on real domains. Here's the gap and what to practice instead.
How to Use Queryflo to Prep for SQL Interviews (vs LeetCode & StrataScratch)
A side-by-side comparison of how Queryflo, LeetCode, and StrataScratch each prepare you for senior data interviews — and which to use when.
SQL Skills
The patterns interviewers test most — windows, CTEs, cohorts, funnels, A/B.
Window Functions for Data Interviews — 8 Patterns to Know
ROW_NUMBER, RANK, LAG, LEAD, and the four less-obvious patterns that separate good candidates from great ones. Real examples included.
Cohort Retention Queries in 6 Frameworks
The query patterns behind every retention chart you've seen. From classic monthly cohorts to weighted retention and resurrection.
A/B Test Analysis in SQL — What Interviewers Actually Ask
Significance, lift, novelty effects, segmentation. Here's how to write the SQL — and explain the results — without sounding like a stats textbook.
How to Optimize a Slow SQL Query — A Practical Framework
The systematic way to diagnose and fix slow SQL: what work the database is doing that it doesn't need to, and how to explain the fix in a senior interview.
Funnel & Conversion Queries — Real Interview Examples
Walk through three real funnel questions step-by-step, with the SQL each step requires and the business framing that wins.
Marketing Attribution & Campaign Queries — Real Interview Examples
Multi-touch attribution, channel ROI, email engagement, and campaign lift. The five marketing analytics patterns that show up in every senior data interview at a paid-acquisition company.
SaaS Metrics, Unit Economics & LTV — Real Interview Examples
MRR movement, NRR/GRR, churn, payback period, CAC and LTV. The SaaS analytics patterns that come up in every B2B data and finance interview.
How to Debug a SQL Query That Returns the Wrong Results
Your query runs but the numbers are wrong. The 11-step framework for tracing grain changes, duplicate rows, NULL behavior, filter logic, and date boundaries back to the real cause.
Strategy
How to think, talk, and present like a senior analyst in the room.
How to Talk Through Your SQL Query Without Sounding Robotic
The script senior analysts use to narrate their queries to interviewers. Confident, clear, and not a line-by-line recitation.
The 5 Things FAANG Interviewers Actually Score You On
Inside the FAANG analyst scoring rubric: how interviewers grade you across structure, accuracy, communication, and business judgment.
What "Production-Ready SQL" Means in Interviews
Senior loops downgrade candidates who can write correct queries that wouldn't survive a code review. Here's what production-ready actually means.
Tools & Prep
Plans, frameworks, and tools to get from rusty to FAANG-ready.
SQL Interview Prep Plan — 30 Days to FAANG-Ready
A four-week structured plan to take you from rusty SQL to confident, FAANG-ready interviewer. Daily tasks, weekly checkpoints, real practice.
LeetCode vs Real Business SQL — Why The Gap Hurts You
Why LeetCode-style SQL drills fail in real interviews. The four gaps between puzzle SQL and business analytics SQL — and how to close them before your next loop.
The Queryflo Method — Why Business Domain Practice Beats Toy Schemas
Schema fluency is the differentiator at senior SQL interviews. Here's why practicing on realistic Growth, SaaS, and Product schemas builds interview-readiness faster than any number of toy drills.
More guides coming weekly.
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