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A new home for landing the data job: real company-style SQL interview questions, a rapid-fire quiz across the whole data stack, and a map of the roles you are aiming for.
Conor Robertson
July 4, 2026 · 7 min read
The questions that come up most about practising for a SQL interview.
QueryCase teaches SQL through real investigations on datasets that actually interest you. When an interviewer asks "tell me about a time you used data to find something interesting," you'll have a genuine answer.
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Most SQL interview prep is a list of questions you read, nod at, and forget. That is not how interviews actually work.
You do not get quizzed on trivia. You get handed a schema and a business question, and asked to write a query that runs while someone watches how you think.
So we built a place to practise exactly that. The Career Hub is QueryCase's home for landing a data job, and it comes in three parts: interview questions modelled on real company loops, a rapid-fire quiz for the concepts those questions lean on, and a map of the roles you might be interviewing for.
The heart of the Career Hub is a set of interview questions styled after the ones that actually come up on data teams. Each one opens in a real SQL editor: you get the schema, the target output, and a blank query. You write it, run it against an in-browser database, and it checks your answer. Get it right and you unlock a worked solution plus the one insight most candidates miss on that question.
They are grouped by company, so you can prep for the kind of thing a specific team tends to ask. Pick one to see what it tests:
Why company framing matters
The SQL is the same everywhere, but the trap changes. Netflix leans on rolling windows, Amazon on multi-table joins and COUNT(DISTINCT), Robinhood on the anti-join. Practising a question the way a real team frames it is the difference between "I know JOINs" and "I have solved this exact shape of problem before."
You are not just ticking a box when you get one right. Every question ships with the reasoning: why the naive version double-counts, why "at least" means >= and not >, why a rolling average belongs at the series grain and not the episode. That is the part that actually transfers to the room.
The long questions are where you prove you can build a query. But most interviews also poke at the fundamentals along the way: does this return NULL or false, what does COUNT quietly ignore, does RANK skip after a tie. Those are the moments you cannot afford to stall on.
MCQ Quickfire is built for exactly those: hundreds of them, rapid fire, with an instant explanation on every answer. Here are three to try right now.
SELECT COUNT(*), COUNT(bonus) FROM staff;
What it drills
Quickfire goes well beyond SQL syntax: query performance, statistics, A/B testing, Python and pandas, data modelling, business metrics, data quality, and the modern data stack. In five-minute bursts it is the fastest way to find the gaps you did not know you had.
Data Analyst, Data Engineer, Analytics Engineer: these are not interchangeable, and the interview for each tests different things. Before you prep, it helps to know exactly which job you are walking into, and how much of it is SQL.
The Roles map places the six core data roles on a single spectrum, from the analysis-heavy end to the build-heavy end, alongside the real SQL each one writes day to day. Pick a role to see where it sits:
The takeaway
Almost every one of these roles runs on SQL, and four of the six live in it daily. If you are early in a data career and unsure which direction to aim, the honest answer is that getting genuinely fluent in SQL keeps every one of these doors open.
If you have an interview coming up, here is the short version:
The Career Hub is free to start, with no card needed. The first questions and a slice of everything are open, and the rest unlocks with a one-time Full Access purchase and no subscription. Open the Career Hub and pick your first question, or start from the beginning if you are still building the SQL itself.