Web Analyst Interview Questions UK: 8 Real Questions and What Interviewers Want

Before your Web Analyst interview, it helps to see the questions from the interviewer's side. We have picked eight from our set of 12 and added the reason each one gets asked.

Eight Web Analyst interview questions, and what the interviewer is thinking

1. How do attribution models work in Google Analytics 4, and why might your figures differ from those in Google Ads?

Why they ask: Attribution disputes between channels are among the most common problems web analysts handle.

2. How would you use Google Tag Manager to track a form submission, and how do you test it before going live?

Why they ask: Reliable tracking implementation is the foundation of all web analysis.

3. What does a typical day as a Web Analyst involve?

Why they ask: They want to confirm you understand the blend of reporting, analysis and tracking maintenance.

4. How would you analyse a checkout funnel to find out where customers drop off, and what would you do with the findings?

Why they ask: Funnel analysis is a core task that links data directly to revenue.

5. How do you set up UTM parameters and channel groupings so that campaign reporting in GA4 is reliable?

Why they ask: Messy campaign tagging is the biggest cause of unreliable channel reporting, so they test your discipline.

6. Following a website relaunch, you notice that conversions in GA4 have dropped to almost zero. What do you do?

Why they ask: This is a classic situation that tests diagnostic discipline and communication under pressure.

7. When would you use the GA4 BigQuery export instead of the standard interface, and what limitations should you watch out for?

Why they ask: Mid-level analysts are expected to go beyond interface reports and know when raw data is needed.

8. Tell me about a time when your web analysis led to a change on the website that improved results.

Why they ask: They want proof that your insight drives action and commercial value.

A sample answer to question 1

How do attribution models work in Google Analytics 4, and why might your figures differ from those in Google Ads?

GA4 uses data-driven attribution by default for key events, distributing credit across touchpoints according to a machine-learning estimate of how much each one changes the chance of converting. The Advertising reports let me compare it with last-click views. Differences against Google Ads usually come from three things. Ads counts conversions by click date and its own attribution window, while GA4 reports by when the conversion happened. Ads can include view-through and modelled conversions, and consent-denied traffic is handled differently in each. Auto-tagging and imported conversions also need to be set up correctly. When stakeholders ask which is right, I explain that each answers a slightly different question: Ads for optimising bidding, GA4 for cross-channel contribution. I document the definitions, reconcile on a sample period, and treat directional trends and the gap, not exact matches, as the thing to monitor.

Common mistake to avoid: Expecting numbers to match exactly; Ignoring consent and modelling effects

Want the rest?

Full model answers, key points and common mistakes for all 12 questions are on the Web Analyst interview questions page. The first five are free, no sign-up needed.