We’re creating a practical guide for recruiters titled “X Interview Questions for Google Analytics 4 Experts.”

We’re looking for GA4 specialists, digital analysts, performance marketers, or analytics managers who hire, interview, or manage people using GA4.

Please answer one or more of the following:
• What’s one interview question you always ask to test real GA4 expertise — and why?
• What’s the biggest red flag you’ve seen when candidates talk about GA4?
• How do you distinguish between someone who can set up GA4 vs. someone who can interpret and act on GA4 data?
• What skill or GA4 competency do most candidates overstate in interviews?

Question

We’re creating a practical guide for recruiters titled “X Interview Questions for Google Analytics 4 Experts.”

We’re looking for GA4 specialists, digital analysts, performance marketers, or analytics managers who hire, interview, or manage people using GA4.

Please answer one or more of the following:
	•	What’s one interview question you always ask to test real GA4 expertise — and why?
	•	What’s the biggest red flag you’ve seen when candidates talk about GA4?
	•	How do you distinguish between someone who can set up GA4 vs. someone who can interpret and act on GA4 data?
	•	What skill or GA4 competency do most candidates overstate in interviews?

Tom Jauncey · Accepted Answer

A question I frequently pose during GA4 interviews is: 'Describe a situation in which you actually used GA4 data to make a decision - what was the change, and what was the impact?' This question might seem straightforward, but it still determines who can simply navigate a dashboard and those who actually know how to use analytics for success.

Most prominently, the signal turns negative when a candidate describes at length the process of event and conversion setup without being able to explain the business significance of those numbers. GA4 is a strong tool, but if you cannot tell a story out of the data, you are not going to be a significant contributor to the strategy.

According to me, the genuine difference lies in this:

Those who are focused on setup refer to tagging, configuration, and 'getting the data in'.

The other ones talk about user behavior, funnel friction, attribution shifts, and what they would test next.

Attribution understanding is undoubtedly the skill most exaggerated in interviews. Everyone says they 'know GA4 attribution,' but only a few can articulate the differences between models or how those shifts impact campaign decisions. This is the turning point where the real experts differentiate themselves.

Andrew Dunn · Answer

Red flag: Candidates who talk confidently about GA4 features but go blank when you ask how they impact revenue. We saw this at Zentro Internet. The team knew event setup but went quiet when asked how to use that data to grow customers. Real expertise isn't just platform setup, it's showing how your data work changed the business. I always ask for a specific example of how their analysis made a difference.

Yarden Morgan · Answer

When I interview marketers, I ask for a specific example of using GA4 data to change something. A lot of people just say they "increased conversions." I want to hear details like, "We saw people dropping off at checkout, so we added PayPal." That shows they actually worked with the data, not just talked about it.

John Cheng · Answer

Here's my go-to question: "Tell me about a time a GA4 insight led to an actual product change." It tells me more than anything if a person just looks at reports or really moves the needle. One candidate I interviewed redesigned the checkout flow based on funnel data and conversions climbed. If they can't connect analysis to action, I ask them to describe a specific project they've done. That's what matters.

Josiah Lipsmeyer · Answer

We see a red flag pretty quickly. A candidate can detail how they set up reports, but when you ask what changed because of that data, they get stuck. At Plasthetix, we look for people who connect numbers to outcomes. Our good people will say, "We saw this data, so we killed that ad campaign and sales went up 15 percent." That's a whole different thing from just knowing where the buttons are.

David Cornado · Answer

I always ask this: "Can you walk me through a time you resolved a drop in organic traffic using GA4 data?" The best candidates pinpoint the exact cause, like a technical issue or content change, then explain their fix step by step. Anyone can install GA4. The real skill is digging into the data and actually doing something with it. That's what moves the needle.

Gianluca Ferruggia · Answer

1. I always ask: 'Can you explain how you would set up and validate a custom event in GA4 to track non-standard user actions, such as video engagement, or form abandonment?' This should tell you right away if the candidate has any level of fluency in GA4's event-based model of tracking, including tagging plans, GTM, the nuances of event parameters, etc. Further, it shows if the candidate can move past the interface to configuration and validation of the data, which is a requirement of any hands-on position.

2. The biggest red flag is when a candidate says GA4 is 'just the new version of Universal Analytics' and it is mostly a change in the UI. That is a good indicator that they don't understand the fundamental change to event-driven data modeling, or the implications for analysis and reporting. GA4 is a somewhat different mindset thinking it is mirrored to UA is a big red flag that the candidate hasn't done the thinking about how it really works

3. I present scenario-based questions that differentiate pure technical setup from analytical thinking. For instance, 'After a recent product launched, you noticed user engagement metrics take off, but conversions did not increase. How would you go about investigating this in GA4?' Someone who has a brain only for setup will often begin talking about verifiable event tags or take themselves down the DebugView wormhole. A true analyst will think beyond the immediate answer and consider funnel reports, segment comparisons, traffic sources, or even want to export a report to BigQuery and evaluate behavioral trends from all user visits. Interpreting findings, is more about using the analyst's curiosity and understanding of the business, rather than having technical fluency alone.

4. Engagement in Exploration reports. Many candidates will express that they are comfortable with GA4 Exploration reports, but when asking follow-up questions to explain how they build a hypothesis or use free-form or pathing reports, their answers remain vague. Building a chart does not equate to being able to a build out a hypothesis or implications based on the study. I always dig into this area largely because a good exploration skills tend to be professed but under-demonstrated.

5 Answers

Tom Jauncey

John Cheng

Yarden Morgan

Josiah Lipsmeyer

Grant Aldrich