Data analyst interview questions

Six questions to practice out loud

Written by AI from data analyst job postings. Each one is the kind of question a data analyst interview asks, and each tests one of the five skills you are scored on.

1. QUESTION 1 · ROLE RELEVANCE

   Walk me through your background and the two analyses that make you the right person for this role, in under two minutes.

   They are listening for: Two analyses, not your whole history.

   What a strong answer includes

   Two analyses, not your whole history. For each: the question, the data, what you personally did, and the decision it changed, with a number. End on why this role. Weak answers list tools instead of results.

2. QUESTION 2 · SPECIFICITY & EVIDENCE

   Tell me about a dataset that was messier than you expected. What was wrong with it, what did you do about it, and how did you check the result?

   They are listening for: Name the source, the size and the specific defects: duplicates, missing values, formats that did not match.

   What a strong answer includes

   Name the source, the size and the specific defects: duplicates, missing values, formats that did not match. Say what you did to each and what you chose to leave alone. Then how you verified the clean version, such as row counts or a reconciliation against a known total. Weak answers say the data was cleaned and stop there.

3. QUESTION 3 · COMMUNICATION & PRESENCE

   Tell me about a time you had to explain a finding to someone who does not work with data. What did you leave out, and what did they do with it?

   They are listening for: Name the audience and the decision in front of them.

   What a strong answer includes

   Name the audience and the decision in front of them. Give the one sentence you led with, and the limitation you kept in, because a caveat is part of the finding. End with what they did next. Weak answers describe the chart instead of the conversation.

4. QUESTION 4 · JUDGMENT & PROBLEM-SOLVING

   Tell me about a time you found an error in data other people were already using. What did you check before you said anything, and who did you tell first?

   They are listening for: Say how big the error was and what had already been built on it.

   What a strong answer includes

   Say how big the error was and what had already been built on it. Describe how you confirmed it was real before raising it, then who heard first and why. Finish with the fix at the source, not only in your report. Weak answers skip straight to blame, or to a quiet correction nobody was told about.

5. QUESTION 5 · ROLE RELEVANCE

   Tell me about a report or dashboard you built. Who asked for it, what did you agree it would show, and how did you know it was used?

   They are listening for: Start with the person and the decision, not the tool.

   What a strong answer includes

   Start with the person and the decision, not the tool. Say what you agreed to show, what you left off and why. Give evidence it was used: a meeting it changed, a number that moved, a request that stopped. If nobody used it, say so and say what you would change.

6. QUESTION 6 · ANSWER STRUCTURE

   Tell me about a trend you found that led you to recommend a change. Who pushed back, what was your evidence, and what happened?

   They are listening for: Name the trend with its numbers and the period it covered.

   What a strong answer includes

   Name the trend with its numbers and the period it covered. Say who disagreed and why, then the evidence you added in response. End with what was decided and what happened after. Weak answers present the recommendation as obvious and the doubter as wrong.