ExamopotamiaWhy test data analyst skills before you hire?
Analyst applications list tools: Excel, SQL, Python, Power BI, Tableau. Tools can be taught. What is harder to teach is the habit of checking whether a sudden spike is real, describing a change in percentage points correctly, or noticing that a survey only reached the most engaged users. A short assessment shows that judgement before it reaches your management reports.
What this template covers
- Descriptive statistics: mean, median, outliers and the spread of a normal distribution.
- Data cleaning: duplicates, inconsistent formats, impossible values and careful handling of missing data.
- Visualisation: picking the right chart for trends and distributions.
- Interpretation: correlation versus causation, percentage points and statistical significance.
- Data scepticism: sampling bias and investigating a suspicious jump before reporting it.
How to run it well
Twelve questions in 15 minutes works well, with a calculator allowed. Set the pass mark around 65% for junior analysts and 75% for senior or insight roles. Combine this template with the SQL template in the same test if the job involves pulling data, so you get both scores from one link.
Turn on shuffling, and keep the short-answer mean question for a quick check of calculation without options. In the results, focus on the interpretation questions about the A/B test, the overnight jump and the survey sample. Analysts who get these right are the ones whose numbers leaders can trust.
Who this test is for
Use it for data analysts, business and reporting analysts, marketing and product analysts, BI developers and graduate analyst schemes. It also works for staff moving into analytics from finance, operations or research, as a way of finding which basics they still need. Researchers and scientists applying for commercial analyst roles can take it too. They often have strong statistics but have not had to explain a metric to a business audience, and the interpretation questions show how they handle that.
Make it yours
Add a chart from your own dashboards and ask what it shows, or a short extract of messy data with a cleaning question. Include questions on the tools you use, such as Excel, Power BI, Tableau or pandas. The AI generator can draft more statistics questions on topics like confidence intervals or regression for you to review. Keep any data extract small, ten or so rows, so it fits on screen and candidates can reason about it without tools.