Business Analyst Interview Question

How comfortable are you with SQL, and what do you use it for as an analyst?

What the interviewer is probing, how to structure your answer, and a spoken example you can adapt.

Quick answer

Comfortable enough to answer my own questions: joins, aggregates, subqueries, and window functions when I need ranking or running totals. I use it to size problems, verify what stakeholders tell me, find data quality issues before they wreck a migration, and build the baseline numbers behind a business case. Not tuning production queries, but not waiting a week for someone else either.

Why interviewers ask this

SQL has become close to a baseline expectation for the role, so interviewers want an honest calibration rather than a claim. They listen for specific constructs, for the uses that matter to an analyst (sizing, validating, profiling data before a migration), and for clear boundaries about what you would hand to a data engineer. Overclaiming here is easily caught by a follow up question.

How to structure your answer

  • Give an honest level with specific constructs you use.
  • List the analyst uses: sizing, validation, data profiling, baselines.
  • Mention data quality checks ahead of a migration.
  • State where you hand over to a data specialist.

Example answer

Spoken example, first person

Comfortable enough that I do not have to queue behind the data team for basic questions. Joins, group by, subqueries, and window functions when I need a ranking or a running total. The four things I use it for most are sizing a problem before we agree it is worth solving, checking a stakeholder claim against reality, profiling data before a migration, and pulling baselines for a business case. The data profiling one has saved a project more than once. On a customer migration I ran counts on the fields the target system needed and found that about eighteen percent of records had no valid country code, which nobody had mentioned because the old system never enforced it. That turned into a data cleansing workstream we would otherwise have hit during cutover weekend. Where it goes beyond me is performance tuning or anything touching production write access, and I hand that to a data engineer without hesitation.

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Follow-up questions to expect

  • Write me a query that finds duplicate customer records.
  • How do you approach data profiling before a migration?
  • What do you do when you have no read access to the source system?

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