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Use cases · Data

AI skills test for data analysts, on real data.

A good analyst with AI lets it write the queries and keeps the judgment: what the number means, whether it is right, and what the people asking need to hear.

Try it free on 3 candidates.

Who the data analyst AI skills test is for

  • Data analysts
  • Analytics engineers
  • Product data scientists

People who answer business questions with data. They pin down what a number means, run the queries, and explain the answer to someone who is not technical.

LevelJunior to staff

Hiring ML engineers, data engineers or research scientists?Bring your own task

An example AI skills task for data analysts

One of our data tasks. Your dashboard has the rest, and you can bring your own.

The brief

Explain a revenue drop

The dashboard shows revenue down 12% in March. Explain why to the CFO in five lines.

Then do Q2 and Q3.

Files
  • Orders
  • Refunds
  • The finance figures for the quarter
  • The dashboard’s definitions
Time
  • Deadline Fri 24 Oct
Work in
  • Claude Code
  • Codex
  • Claude Cowork
  • ChatGPT
  • Where AI goes wrongEvery task has a few spots where AI typically gets it wrong. That’s how you see who checks the work.
  • The part that repeatsAfter March, they explain Q2 and Q3. You see whether they reuse what they built the first time, or start again by hand.
  • TimeYou set it: a deadline, a time limit, or both. We recommend a deadline and no time limit, so they work the way they would in the job.
  • Where they workClaude Code, Codex, Claude Cowork or ChatGPT, on their own computer or in the browser.
  • All tasks

The AI skills we look for in data analysts

Plus the skills for the job Read from the same task.
  • Defining the metric
  • Rigour in the analysis
  • Explaining it to people who aren’t technical

What you get for each data candidate

Anton LindqvistData analyst · Task: Explain a revenue drop · Claude Code · 1 h 50 min
Checked by Lemonsignal
44%Below the bar
  • Took the AI’s first query without checking it.
  • Sent the CFO a number he had not checked.
  • Built a script that made Q2 and Q3 fast and the same.
  • Understand Partial Asked what “revenue” means here, but only after the first answer. Turn 9
  • Brief Partial Gave it the tables, but not the definition. Turn 1
  • Check Weak Took the first query as it was, and never matched the total to a second source. Turn 4
  • Correct Solid When a query failed, said which join was wrong. Turn 6
  • Sign off Partial Five lines, as asked, built on a number he had not checked.
  • Reuse Strong Saved the query as a script and ran Q2 and Q3 with it.
Skills for the job
  • Defining the metricBelow the bar
  • Rigour in the analysisBelow the bar
  • Explaining it to people who aren’t technicalAt the bar

Questions about testing data analysts’ AI skills

Do analysts need SQL for this task?

It helps, but they can do it in any of the four tools. Claude Code and Codex can run the queries; Claude Cowork and ChatGPT can read the files.

Why does a strong Reuse not make this a good match?

Each role has must-haves. For an analyst, Check is one: a fast, repeatable answer that is wrong is worse than a slow one. You can change the must-haves before you send the link.

Can we use our own data?

Yes. Bring your own task. Confidential company files stay with your hiring team, the candidate and Lemonsignal.

30 Interview questions to see who’s good with AIStart with the data questions, with what a good answer sounds like.

Test how well data analysts use AI.

Try it free on 3 candidates.