Graduate Data Analyst Interview Questions UK: 8 Real Questions and What Interviewers Want

Most Graduate Data Analyst interviews in the UK follow a pattern, and knowing it beats guessing. Below are eight questions from our bank of 16, each with a note on what the interviewer is really after.

Eight Graduate Data Analyst interview questions, and what the interviewer is thinking

1. Why did you apply for our graduate data analyst scheme, and how does your degree prepare you for it?

Why they ask: To test motivation for the role and how well you connect your studies to real analytical work.

2. How would you use SQL to find the top five customers by revenue in the last quarter, and what would you check about the result?

Why they ask: Writing and sense-checking a typical query is a standard graduate analyst test.

3. Explain what a p-value is and what it does and does not tell you.

Why they ask: Graduates are expected to understand basic statistical inference and avoid common misinterpretations.

4. What is the difference between a LEFT JOIN and an INNER JOIN, and give an example of when each would be the right choice?

Why they ask: Joins are fundamental, and wrong choices produce silently incorrect numbers.

5. How do you approach cleaning and preparing a dataset in Excel, Python or R before analysis?

Why they ask: Data preparation takes most of an analyst's time, so tools and discipline matter.

6. A stakeholder asks for a dashboard but cannot say what they want it to show. How would you proceed?

Why they ask: Graduates often receive vague requests and need to turn them into clear requirements.

7. What is the difference between correlation and regression, and how would you check whether a linear regression model is any good?

Why they ask: To check you have more than a surface understanding of statistical modelling.

8. Tell me about a project where you analysed data and presented your findings, and what you would do differently now.

Why they ask: To assess practical experience and reflective learning beyond academic knowledge.

A sample answer to question 1

Why did you apply for our graduate data analyst scheme, and how does your degree prepare you for it?

I want to use data to answer practical questions, and your graduate scheme offers the chance to do that with proper mentoring and rotations. My degree in economics gave me a strong grounding in statistics and regression, and my dissertation involved cleaning a messy ONS labour market dataset in R, testing hypotheses and presenting findings to a panel. That taught me that most of the work is preparing the data and explaining it honestly, not running models. I also completed an SQL course and built a small Power BI report on UK house price data to see how business users would interact with analysis. What attracts me to your scheme is the exposure to real stakeholders, because I want to learn how analysis changes decisions, not just produce outputs. I am keen to build depth in SQL and visualisation, and eventually specialise once I understand where I add most value.

Common mistake to avoid: Repeating the job advert; talking only about theory

Want the rest?

Full model answers, key points and common mistakes for all 16 questions are on the Graduate Data Analyst interview questions page. The first five are free, no sign-up needed.