What does a Data Analyst interview cover?

Live SQL (joins, aggregation, window functions), data cleaning and modelling, descriptive statistics and A/B-test reasoning, dashboards (Power BI/Tableau), and translating a business question into a metric you can communicate to stakeholders.

How much SQL do I need for a data-analyst role?

A lot — SQL is usually the core technical gate. Be fluent with multi-table joins, group-by/aggregation, CTEs and window functions, and able to write and explain queries live.

Can I practise a Data Analyst interview for a specific company?

Yes. Start the Data Analyst mock and choose a company to run it in that company's interview style — the scorecard stays the Data Analyst role's. You can also add your CV so the panel asks about your real projects.

Data Analyst Interview

What a Data Analyst interview covers — SQL, data modelling, statistics and business-focused analysis — with a free AI mock scored on the role.

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A free AI panel interview for the Data Analyst role: it follows up when an answer is thin and returns a scored, evidence-backed report. Optionally run it in a specific company’s interview style, and add your CV so the panel asks about your real projects.

What a Data Analyst interview covers

A Data Analyst interview focuses on SQL, data modelling, statistics and business-focused analysis. The core competencies assessed are:

SQL — joins, aggregation, window functions, CTEs
Data cleaning, transformation and validation
Descriptive statistics and A/B-test reasoning
Dashboards and visualisation (Power BI, Tableau)
Translating a business question into a metric
Communicating findings to non-technical stakeholders

Key topics

SQL joins & windowsAggregation & CTEsStatistics & A/B testsData cleaningPower BI / TableauMetrics & KPIsExcel modellingStakeholder communication

Typical Data Analyst interview rounds

1. SQL round

Write queries live — joins, group-by, window functions — against a scenario schema, and reason about correctness.
2. Analytics & statistics

Turn a business question into a metric, interpret a result, and reason about an A/B test or a trend.
3. Case / dashboard

Given a dataset or a business problem, describe how you’d analyse it and what you’d visualise.
4. Behavioural

A time your analysis changed a decision, and how you handled a stakeholder disagreement.

How to prepare

Do

Practise writing SQL live, including window functions and multi-table joins.
Always tie the analysis back to the business decision it informs.
Be ready to define a metric precisely and defend the choice.
Prepare a story where your analysis actually changed an outcome.

Avoid

Weak SQL — struggling with joins, aggregation or window functions.
Answering the data question but missing the business "so what".
Vague metric definitions that fall apart under follow-up.
Overcomplicating a dashboard instead of communicating the insight.

Practise in a company’s style

Start the Data Analyst mock and pick any company to run the interview in that company’s style — the questions and scorecard stay the Data Analyst role’s, while the panel’s tone and behavioural questions reflect the company. Add your CV and it will ask about your real projects and experience.

Start the Data Analyst mock →

Data Analyst interview FAQ

What does a Data Analyst interview cover?: Live SQL (joins, aggregation, window functions), data cleaning and modelling, descriptive statistics and A/B-test reasoning, dashboards (Power BI/Tableau), and translating a business question into a metric you can communicate to stakeholders.
How much SQL do I need for a data-analyst role?: A lot — SQL is usually the core technical gate. Be fluent with multi-table joins, group-by/aggregation, CTEs and window functions, and able to write and explain queries live.
Can I practise a Data Analyst interview for a specific company?: Yes. Start the Data Analyst mock and choose a company to run it in that company's interview style — the scorecard stays the Data Analyst role's. You can also add your CV so the panel asks about your real projects.

Other role interviews

Wrexa Edge is an independent exam & interview preparation platform. This is a role-focused practice interview modelled on publicly documented Data Analyst interview practice; it is not affiliated with any employer, does not reproduce any internal rubric or question bank, and does not predict a hiring outcome.