01 · 20 QUESTIONS · 10 MINUTES
SQL
Checks whether candidates can write the queries the job needs, not just read them.
- Queries & filtering
- Joins & relationships
- Working with databases
Hire your next Analytics Engineer with clearer evidence.
A ready-made selection of tests for Analytics Engineer candidates. See how they approach the skills that matter, then focus your interviews on the results.
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AM
Alex Morgan
CompletedAnalytics Engineer assessment
A CLEARER VIEW OF THEIR SKILLS
More than one score.
SQL82%
Python74%
Logical Reasoning68%
Git64%
Compare strengths. Explore the detail. Ask better questions.
Illustrative results · Fictional candidate
WHAT THE ASSESSMENT EXPLORES
A clearer view of data and analytical skills.
The Analytics Engineer template combines SQL, Python, Logical Reasoning, Git. Review the selection against the work your vacancy involves.
4tests40minutes63questions in total
02 · 18 QUESTIONS · 10 MINUTES
Python
Checks Python knowledge for building applications, scripts and data work.
- Language fundamentals
- Data structures
- Functions & objects
03 · 10 QUESTIONS · 10 MINUTES
Logical Reasoning
Shows how candidates reason through unfamiliar problems without prior knowledge.
- Recognising relationships
- Evaluating information
- Drawing conclusions
04 · 15 QUESTIONS · 10 MINUTES
Git
Checks day to day version control, including branching, merging and recovering from mistakes.
- Commits & branches
- Merging changes
- Version control
A COMPLETE SKILLS PICTURE
One assessment. Different strengths.
Explore data accuracy, analysis and clear conclusions.
You receive a result for each included test: SQL, Python, Logical Reasoning, Git. Compare the relevant areas separately and use a follow-up task based on checking a data query and validating the output.
Keep the recommended selection or adjust it before inviting candidates.
A MULTILINGUAL TEST SUITE
English, plus 13 languages.
Assess candidates in the language they work in.
- English
- Chinese (simplified)
- Japanese
- Korean
- Thai
- Vietnamese
- Indonesian
- French
- German
- Spanish
- Portuguese
- Italian
- Dutch
- Arabic
Languages across our wider suite. Availability varies by test and level; check each test when preparing your assessment.
TRY AN EXAMPLE QUESTION
Try an example question.
Hiring an Analytics Engineer, sometimes advertised as dbt developer? Try a Git question built around checking a data query and validating the output.
Analytics Engineer: checking a data query and validating the outputWorkplace example
You are working on a branch that adds a new revenue model. A teammate has merged several changes into main since you branched. Before opening a pull request you want your branch to include their work, with a linear history and no merge commit.
A PRACTICAL GUIDE
Using the Analytics Engineer assessment.
What does the full assessment tell you?
This template combines multiple-choice questions in SQL, Python, Logical Reasoning, Git. It brings together evidence about data accuracy, analysis and clear conclusions, giving you areas to explore when checking a data query and validating the output.
How can you use the results?
Review each result against your vacancy’s responsibilities. Use a short task based on checking a data query and validating the output to explore practical application. Ask them to explain filtering and joins, check edge cases and verify the output against the brief.
Which results matter for your vacancy?
- SQLAsk how they would filter records, join related tables and verify a query result.
- PythonExplore data structures and functions, then ask them to explain and test a short solution.
- Logical ReasoningAsk them to explain the relationships and assumptions behind a conclusion.
- GitDiscuss a branching workflow, a merge conflict and how they would recover an unwanted change.
SEE THE RESULTS FOR YOURSELF
See the person behind the score.
Explore a complete sample report, from test results and candidate comparisons to focused interview questions.
BEFORE YOU START
Your questions, answered.
Can I tailor this assessment to my Analytics Engineer vacancy?
Yes. Start with SQL, Python, Logical Reasoning, Git, then keep the tests that match your responsibilities. For example, use SQL to explore queries & filtering. You can add or remove tests before inviting candidates.
Does this assess practical Analytics Engineer work?
Candidates answer multiple-choice questions in SQL, Python, Logical Reasoning, Git online. They do not complete your day-to-day work inside your own systems. Add a short work sample based on checking a data query and validating the output to explore application alongside the test results.
Why is SQL included?
Checks whether candidates can write the queries the job needs, not just read them. Ask how they would filter records, join related tables and verify a query result. Review whether this area reflects the responsibilities of your vacancy before retaining it.
How long does this Analytics Engineer assessment take?
The recommended selection contains 4 tests and allows 40 minutes across its timed tests. Adding or removing tests, or adjusting time allowances, can change the total.
Will I see a separate result for each test?
Yes. Review SQL, Python, Logical Reasoning, Git separately so a strength in one area does not hide a gap in another. Use the detail to focus interviews and relevant work samples. View the sample report.
Can I try this assessment with real candidates for free?
After signup, your Analytics Engineer selection is prepared for review. Adjust it, invite candidates and see your first 5 candidate results free. No credit card is required. See pricing for further results.
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