Grab Product Analyst Interview Questions + Guide in 2025

Grab is a leading technology company that provides transportation and logistics services across Southeast Asia, committed to enhancing everyday lives through innovative solutions.

The Product Analyst role at Grab involves leveraging data analytics to drive informed decision-making and product development. Key responsibilities include analyzing user behavior and operational metrics, designing and interpreting A/B tests, and collaborating with cross-functional teams to optimize product features. Ideal candidates should possess strong skills in SQL, data visualization, and statistical analysis, along with experience in product metrics and machine learning methodologies. A great fit for this position is someone who is detail-oriented, has a passion for data-driven insights, and aligns with Grab's mission of improving lives through technology.

This guide will help you prepare for the interview by providing insights into the expectations and skills required for the role, ensuring you present yourself as a strong candidate ready to contribute to Grab's innovative culture.

The interview process for a Product Analyst at Grab is structured to assess both technical skills and cultural fit within the organization. Candidates can expect a multi-step process that includes various rounds of interviews and assessments.

1. Application and Resume Review

The process begins with the submission of an application through Grab's career portal or a job board. The HR team reviews resumes to identify candidates who meet the basic qualifications for the role. This initial screening helps narrow down the candidate pool.

2. HR Screening

Qualified candidates are typically contacted for a phone screening with an HR representative. This initial interview lasts around 30 minutes and focuses on understanding the candidate's background, experiences, and motivations for applying to Grab. It may also cover basic qualifications and availability.

3. Technical Assessment

Candidates who pass the HR screening are often required to complete a technical assessment. This may involve an online coding test that evaluates proficiency in SQL and Python, as well as analytical skills relevant to product analysis. The assessment may include questions on data manipulation, statistical analysis, and problem-solving scenarios.

4. First Interview

Successful candidates are invited to a first-round interview, which is usually conducted via video call. This interview typically involves a mix of technical and behavioral questions. Interviewers may ask about past projects, specific technical skills, and how candidates approach problem-solving in a product context.

5. Second Interview

Depending on the candidate's performance in the first round, a second interview may be scheduled. This round often involves more in-depth technical questions and may include case studies or hypothetical business scenarios relevant to Grab's operations. Candidates should be prepared to discuss metrics, product performance, and analytical methodologies.

6. Final Interview

The final round usually involves a meeting with a senior manager or department head. This interview focuses on cultural fit, career aspirations, and a deeper dive into the candidate's technical expertise. Behavioral questions may also be included to assess how candidates handle challenges and work within a team.

Throughout the process, candidates should be prepared for a variety of questions that test both their technical knowledge and their ability to think critically about product-related challenges.

Next, let's explore the specific interview questions that candidates have encountered during their interviews at Grab.

In this section, we’ll review the various interview questions that might be asked during a Product Analyst interview at Grab. The interview process will likely assess your technical skills in SQL, Python, and analytics, as well as your understanding of product metrics and business sense. Be prepared to discuss your past experiences, problem-solving abilities, and how you can contribute to Grab's mission.

Technical Skills

1. How do you manage downtime of a server which needs to be up 24/7?

This question assesses your understanding of system reliability and your problem-solving skills in a high-availability environment.

How to Answer

Discuss your approach to monitoring, redundancy, and failover strategies. Highlight any specific tools or methodologies you have used in the past.

Example

“I would implement a robust monitoring system to track server performance and uptime. In case of downtime, I would have a failover mechanism in place, such as a backup server or cloud solution, to ensure minimal disruption. Regular maintenance and updates would also be scheduled during off-peak hours to reduce the risk of unexpected downtime.”

2. Can you explain the steps in making a decision tree?

This question tests your knowledge of machine learning concepts and your ability to explain complex ideas clearly.

How to Answer

Outline the process of creating a decision tree, including data preparation, feature selection, and the splitting criteria.

Example

“To create a decision tree, I first prepare the dataset by cleaning and selecting relevant features. Then, I choose a splitting criterion, such as Gini impurity or entropy, to determine how to split the data at each node. I continue this process recursively until I reach a stopping condition, such as a maximum depth or minimum samples per leaf.”

3. What SQL functions would you use to find anomalies in a dataset?

This question evaluates your SQL skills and your ability to analyze data for insights.

How to Answer

Discuss specific SQL functions and techniques you would use, such as window functions, joins, and conditional statements.

Example

“I would use SQL window functions like ROW_NUMBER() to identify duplicates and aggregate functions like COUNT() to find outliers. Additionally, I would implement CASE WHEN statements to flag any records that deviate significantly from the expected range.”

4. How do you determine the regularization term using Lasso regression?

This question assesses your understanding of machine learning techniques and their applications.

How to Answer

Explain the concept of regularization in Lasso regression and how you would select the regularization parameter.

Example

“In Lasso regression, the regularization term is determined by cross-validation. I would test various values of the regularization parameter, lambda, to find the one that minimizes the prediction error on a validation set. This helps prevent overfitting while maintaining model accuracy.”

5. What programming languages do you know, and how have you used them in your projects?

This question gauges your technical proficiency and practical experience with programming languages relevant to the role.

How to Answer

List the programming languages you are proficient in and provide examples of how you have applied them in your work.

Example

“I am proficient in Python and SQL. In my previous role, I used Python for data analysis and visualization, leveraging libraries like Pandas and Matplotlib. I also used SQL extensively to query databases and extract insights for reporting purposes.”

Behavioral Questions

1. What is your greatest strength and weakness?

This question allows you to reflect on your self-awareness and personal development.

How to Answer

Choose a strength that is relevant to the role and a weakness that you are actively working to improve.

Example

“My greatest strength is my analytical thinking, which allows me to break down complex problems and find effective solutions. My weakness has been public speaking, but I have been taking steps to improve by participating in team meetings and presenting my findings more frequently.”

2. Why do you want to work at Grab?

This question assesses your motivation and alignment with the company’s values and mission.

How to Answer

Discuss your interest in Grab’s mission and how your skills can contribute to their goals.

Example

“I want to work at Grab because I admire its commitment to improving the lives of people in Southeast Asia through technology. My background in data analysis and product metrics aligns well with Grab’s focus on data-driven decision-making, and I am excited about the opportunity to contribute to such impactful projects.”

3. Can you describe a challenging project you worked on and how you overcame the obstacles?

This question evaluates your problem-solving skills and resilience.

How to Answer

Provide a specific example of a project, the challenges faced, and the steps you took to overcome them.

Example

“In a previous project, I was tasked with analyzing customer feedback data to improve our product. The challenge was the sheer volume of unstructured data. I overcame this by implementing natural language processing techniques to categorize the feedback, which allowed us to identify key areas for improvement effectively.”

4. How do you prioritize tasks when working on multiple projects?

This question assesses your time management and organizational skills.

How to Answer

Discuss your approach to prioritization, including any frameworks or tools you use.

Example

“I prioritize tasks based on their urgency and impact. I often use the Eisenhower Matrix to categorize tasks and focus on what is most important. Additionally, I maintain a project management tool to track deadlines and progress, ensuring that I stay organized and on schedule.”

5. How do you handle feedback and criticism?

This question evaluates your ability to accept feedback and grow from it.

How to Answer

Share your perspective on feedback and provide an example of how you have used it constructively.

Example

“I view feedback as an opportunity for growth. In my last role, I received constructive criticism on my presentation skills. I took this feedback seriously and sought out resources and practice opportunities to improve. As a result, my subsequent presentations received positive feedback, and I felt more confident in my abilities.”