Google Business Intelligence Analyst Interview Questions

Company – Google
Designation – Business Intelligence Analyst
Experience required – 2 to 5 years
Topics to prepare – SQL, Project related, Behavioral questions
Salary range – 30 to 45 LPA (Our student got an offer of 26 LPA Base + 4 LPA allowances + $60,000 stocks for 4 years
Google Business Intelligence Analyst Interview Questions

Interview Experience

I applied to the Google career page, no referrals or reaching out to the recruiter. The recruiter reached out to me via e-mail and scheduled a half-hour call to understand my expectations with the role. She also had a couple of SQL questions like (What is the difference between right and left join)

I had 3 rounds of interviews, in general, the interview time was mostly at the night.

Round 1 – Technical round
Difficulty level – Easy to moderate
I was asked to write simple SQL queries on a set of data. There was no IDE, you just have to write on a shared page/doc. The questions were simple and easy. You just have to communicate it well.

Some sample questions that you can practice:

Write a SQL query to find the second-highest salary in a company.
Write a SQL query to calculate the total revenue generated by each customer.
Write a SQL query to find the average order value per customer.
Write a SQL query to count the number of unique customers who made purchases last month.
Write a SQL query to identify the top 3 cities with the highest number of orders.
Write a SQL query to retrieve all customers who have placed more than 5 orders.
Write a SQL query to find the most popular product categories in terms of sales volume.
Write a SQL query to calculate the monthly growth rate in the number of new users.
Write a SQL query to find all customers who haven’t made a purchase in the last 6 months.
Write a SQL query to find the total sales for each product category in the current year.

Round 2 – Technical and coding round
Difficulty level – Easy to moderate

A very few coding logic questions, you can pick up any language or can discuss Psuedo code of the solution. Questions were more on the lines of pattern printing, Armstrong numbers, Factorial, etc.

SQL was again on the easier side. Take your time while solving questions and do keep on discussing the approach.

Round 3 – Hiring Manager Round (Behavioral Round)
This is the most important round and these questions are not very easy to answer. Practice the below questions

Problem Solving and Adaptability
These questions assess how you approach and overcome obstacles or changing situations.

Tell me about a time when you faced an unexpected challenge. How did you handle it?
Describe a situation where you had to learn something quickly to meet a deadline.
Tell me about a time when you had to work with incomplete data. How did you make a decision?
Can you describe a project where things didn’t go as planned? What steps did you take to fix the situation?

Teamwork and Collaboration
Google values collaboration and teamwork. These questions explore how you interact with others, especially cross-functional teams.

Tell me about a time when you had to work with a difficult team member. How did you handle the situation?
Describe a time when you worked on a cross-functional team. How did you ensure effective communication and collaboration?
Give me an example of a time when you had to resolve a conflict between team members. What was your role?
Describe a situation where you had to rely on others to achieve a goal. How did you ensure success?

Leadership and Initiative

Even for non-management roles, Google values leadership qualities like initiative and ownership.

Tell me about a time when you led a project. What was the outcome?
Describe a situation where you took ownership of a task or project without being asked.
Tell me about a time when you motivated your team to achieve a difficult goal.
Give me an example of when you had to make a tough decision without all the information available.

Some more questions to practice

1. SQL and Data Manipulation

BI Analysts need to manipulate large datasets, so SQL proficiency is critical. You can expect in-depth questions and exercises related to SQL queries.

Sample Questions:
- Write a SQL query to find the top 5 products with the highest sales.
- How would you optimize a query that’s running slow?
- How would you join two tables where one table has missing data?
- Given a table of customer transactions, write a query to find repeat customers.

2. Data Analysis and Interpretation

You’ll need to demonstrate your ability to analyze datasets and extract actionable insights.

Sample Questions:
- How would you analyze a dataset to find business trends?
- Describe a time when you had to solve a complex data problem. How did you approach it?
- Google is releasing a new product. How would you use data to measure its success?
- How do you prioritize conflicting data requirements from different teams?

3. Statistics and Data Modeling

Some questions might assess your understanding of basic statistical concepts and their application in business scenarios.

Sample Questions:
- Explain the difference between correlation and causation.
- How do you handle missing or incomplete data?
- What statistical methods would you use to predict customer churn?
- How would you determine whether a new feature impacts user retention?

4. Google-Specific Product Knowledge

Understanding Google’s products, especially Google Analytics, BigQuery, and Google Cloud Platform (GCP), is an advantage.

Sample Questions:
- What is Google BigQuery, and how is it used in data analysis?
- How would you integrate Google Analytics data with an internal database to generate insights?
- Describe how you would build a dashboard to monitor key metrics for a Google product.

5. Data Visualization Tools and Dashboards

Google BI Analysts often present their findings to stakeholders, so questions about data visualization tools and best practices are common.

Sample Questions:
- How do you choose the right visualizations to communicate data insights?
- What tools have you used for building dashboards (e.g., Tableau, Looker)?
- How would you visualize sales data for a non-technical audience?

6. Behavioral and Problem-Solving Questions

Google places a strong emphasis on behavioral interviews to assess cultural fit and problem-solving skills.

Sample Questions:
- Tell me about a time when you disagreed with a colleague. How did you resolve the situation?
- Describe a situation where you had to make a data-driven decision under time constraints.
- How do you handle ambiguous data requests from stakeholders?
- Give an example of a project where you had to work with cross-functional teams.

7. Case Studies and Scenario-Based Questions

You might be presented with real-world scenarios or case studies where you’ll need to provide recommendations based on data.

Sample Questions:
- Google’s AdSense revenue has dropped in the last quarter. How would you investigate the cause using data?
- If you notice that the click-through rate (CTR) is declining on a key product, how would you analyze the root cause?
- How would you measure the impact of a marketing campaign for a new Google product?

8. General Analytical Thinking

Google often tests your problem-solving abilities by asking open-ended or brain-teaser-style questions.

Sample Questions:
- How many queries are processed by Google every day?
- How would you estimate the market size for Google Ads in a specific country?
- What metrics would you use to assess the success of a new Google search feature?

Preparation Tips:

Practice SQL queries—many interviews include a technical component with live coding or a take-home assignment.
Familiarize yourself with Google products like BigQuery, Google Analytics, and Looker.
Review basic statistics and be ready to apply concepts like hypothesis testing, A/B testing, regression, and probability.
Think about past projects where you’ve used data to drive decisions—prepare stories that demonstrate your problem-solving skills.

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