I applied through an employee referral. I interviewed at Google (London, England) in Jul 2025
Interview
The Google Product Analyst interview process includes two rounds with five interviews:
four technical (coding, applied analytics, experiments, modeling) and one non-technical (Googleyness & leadership), emphasizing stats, problem-solving, and communication clarity.
Interview questions [1]
Question 1
📊 1. Product Metrics & Measurement
Q1. What success metrics would you track for Google Meet to evaluate its performance?
🔍 2. Diagnostic & Analytical Thinking
Q2. Let’s say adoption of Google Chat is low. How would you investigate the cause?
🤖 3. Machine Learning Metrics (Non-Technical)
Q3. Explain Precision and Recall in simple terms to someone non-technical.
📈 4. Regression & Multicollinearity
Q4. What is multicollinearity in linear regression?
Q5. How would you measure the degree of multicollinearity in a regression model?
Q6. How does multicollinearity affect prediction accuracy vs. the reliability of model weights?
It was all good, the interviewer was very nice. Technical questions were a bit challenging but overall it was good. The hiring manager was looking for some hands on experience
Back to back interview.
[1]. Mainly ask ML concepts, e.g., how to develop a classifer for youtube video; they will also ask some statistical concepts
[2] Coding for both python and sql
I applied online. I interviewed at Google (Paris) in Mar 2026
Interview
One HR screening, followed by two interviews: first assessing statistical knowledge and communication, second focusing on data analysis, intuition, and communication, and ending with HR feedback session stage round process.
Interview questions [1]
Question 1
They asked how to compute p-value with only one sample, requiring understanding of hypothesis testing, null distribution, t-test or z-test assumptions, and interpretation of significance levels in statistical inference context.
