How to Assess Data Analysts

Key takeaways

• Data Analyst hiring benefits from testing hands-on technical ability, not just past project descriptions.
• SQL and spreadsheet fluency are practical, testable skills that predict day-one productivity.
• Numerical Reasoning and Critical Thinking capture the analytical judgment behind the technical skill.
• A technical assessment before the interview saves engineering and analytics time on candidates who lack the basics.
• Combine two to three of these rather than sending every candidate all five.

What Data Analyst hiring actually requires

Data Analyst roles are unusually easy to over-index on credentials and under-index on hands-on ability. A candidate can have the right degree and still struggle to write a working SQL join, or have no formal background and be excellent at turning messy data into a clear recommendation. Testing practical skill directly closes that gap.

The role also spans two distinct capabilities: the technical mechanics of pulling and manipulating data, and the analytical judgment to interpret it correctly and communicate it to a non-technical audience. A well-built assessment combination should test both.

How to build a Data Analyst assessment combination

1. Start with Data Analysis to test interpretation, statistical reasoning, and data-cleaning judgment directly.
2. Add SQL if the role involves querying databases directly, which most analyst roles do.
3. Include Numerical Reasoning to check the underlying quantitative reasoning skill.
4. Add Microsoft Excel for roles where spreadsheet work is still a daily tool.
5. Use Critical Thinking for senior roles where interpreting ambiguous results matters more than raw calculation.
6. Keep the combination to two or three assessments so the candidate experience stays reasonable.

Examples

A marketing team hiring its first Data Analyst combines Data Analysis and Microsoft Excel, since most of the role’s daily work involves campaign spreadsheets rather than a full data warehouse.

A product team hiring a more senior analyst adds SQL and Critical Thinking to the combination, since the role requires pulling data directly from the product database and interpreting ambiguous user behavior patterns.

Assessments to use

Real, verified assessments recommended for this role:

• Data Analysis — Data interpretation, statistical reasoning, and insight communication.
• SQL — Query writing, joins, and data filtering and aggregation.
• Numerical Reasoning — Numerical interpretation, calculation, and trend analysis.
• Critical Thinking — Argument analysis, assumption identification, and logical consistency.
• Microsoft Excel — Formulas, data organization, and spreadsheet troubleshooting.

Browse the full assessment library →

Role-specific considerations

For a ready-made version of this combination, see our Data Analyst hiring guide, which walks through the full recommended assessment set, interview questions, and common hiring mistakes for this specific role.

Connecting results to the interview

A moderate SQL score is not a disqualifier — it is a prompt. Ask the candidate to walk through how they would pull a specific dataset and what they would check before trusting the result. That conversation reveals more about real-world readiness than the raw score.

Common mistakes

• Relying on resume claims for technical skill. “Proficient in SQL” means very different things to different candidates.
• Testing only the technical mechanics. Interpretation and communication matter just as much as query-writing.
• Sending every candidate all five assessments. Two or three relevant ones are usually enough.
• Skipping Excel for roles that still rely on it. Not every analyst role uses a full BI stack.

Frequently asked questions

What is the best assessment for a Data Analyst?

Data Analysis paired with SQL covers most roles well; add Numerical Reasoning, Critical Thinking, or Excel depending on the specific tools the role uses.

How long does the assessment combination take?

Each assessment runs 10–15 minutes, so a three-assessment combination typically takes 30–45 minutes total.

Do I need to test SQL if the role uses a BI tool instead?

Not necessarily — prioritize the assessments that map to the tools the role actually uses day to day.

Should assessment results alone determine who gets hired?

No. Use results alongside interviews, portfolio review, and past project examples.

Can I combine this with a role-specific interview guide?

Yes — see our Data Analyst hiring guide for a ready-made assessment and interview combination.

A note on methodology

This guide reflects common, widely-used hiring practice rather than a single proprietary study. For details on how our own assessments are built and scored, see our assessment approach.