Data analyst interview questions
· 7 min read
A data analyst interview assesses three things at once: your technical mastery (SQL, tools, statistics), your analytical ability (answering a business question), and your communication (making data understandable to non-experts). All three can be prepared.
A common mistake: focusing only on technique. What sets a good analyst apart is the ability to turn numbers into decisions.
Technical questions
- SQL: joins, aggregations, window functions, query optimization.
- Statistics: averages, distributions, correlation vs causation, tests.
- Visualization and reporting tools.
- Data cleaning and reliability (missing values, bias).
Business scenarios
Expect cases: “Sales dropped 15%, how would you investigate?”, “Which metrics would you track for this product?”. They assess your approach: frame the question, identify useful data, form hypotheses, propose an analysis. Think out loud.
Communicating results
You may be asked to explain a result to a non-technical audience. Practice telling a data story simply: the key message first, the nuance next, and an actionable recommendation. Clarity is a skill, not a bonus.
Behavioral
- An analysis project you are proud of and its impact.
- A time your data contradicted a team’s intuition.
- How you prioritize several requests at once.
Prepare your examples out loud
With JobView, practice presenting your analyses and answering business cases with method and clarity — the part of the interview that often separates two technically equal profiles.