Grubhub Product Analyst Interview Questions + Guide in 2025

Grubhub is a leading online and mobile food ordering and delivery marketplace that connects diners with local restaurants.

As a Product Analyst at Grubhub, you will play a critical role in driving data-informed decisions to enhance the customer experience and optimize product offerings. Your key responsibilities will include analyzing product metrics, developing insights from large datasets, and collaborating with cross-functional teams to inform product strategies. A strong proficiency in SQL is essential, as you will be expected to construct complex queries to retrieve and manipulate data effectively. Familiarity with machine learning concepts will also be beneficial, as you may engage in predictive analytics to forecast trends and user behaviors.

The ideal candidate will possess a keen analytical mindset, excellent problem-solving skills, and the ability to communicate findings clearly to stakeholders. You should be comfortable working in a fast-paced environment and have a passion for using data to improve user experiences. Your experience in product analytics will enable you to not only identify opportunities but also to propose actionable solutions based on data-driven insights.

This guide will help you prepare effectively for your interview by providing insights into the expectations and skills required for the Product Analyst role at Grubhub, allowing you to present yourself confidently as a strong candidate.

The interview process for a Product Analyst at Grubhub is structured to assess both technical skills and cultural fit within the team. It typically consists of several rounds, each designed to evaluate different aspects of your qualifications and experiences.

1. Initial Phone Screen

The process usually begins with a phone screen conducted by a recruiter. This initial conversation lasts about 30 minutes and focuses on your background, skills, and motivations for applying to Grubhub. The recruiter will also provide insights into the company culture and the specifics of the Product Analyst role.

2. Technical Interview

Following the phone screen, candidates typically participate in a technical interview. This round may involve coding exercises, particularly focusing on SQL and data manipulation tasks. You might be asked to solve problems related to product metrics, such as designing a restaurant search for diners or calculating driver pay using grid manipulation techniques. This interview assesses your analytical skills and your ability to work with data effectively.

3. Behavioral Interview

The next step often includes a behavioral interview, where you will discuss past experiences and how you handle various situations in a work environment. Expect questions that explore your decision-making process based on data, teamwork, and conflict resolution. This round is crucial for determining how well you align with Grubhub's values and team dynamics.

4. Panel Interview

In some cases, candidates may face a panel interview consisting of multiple team members, including managers and cross-functional partners. This round typically includes a mix of technical and behavioral questions, allowing interviewers to gauge your collaborative skills and your approach to problem-solving in a team setting. You may also be asked to present a case study or a project you have worked on, demonstrating your analytical thinking and communication skills.

5. Final Interview

The final stage of the interview process may involve a more in-depth discussion with senior leadership or key stakeholders. This round often focuses on your long-term career goals, your understanding of the product landscape, and how you envision contributing to Grubhub's success. It may also include a technical component, where you might be asked to tackle more complex analytical problems or case studies relevant to the role.

As you prepare for your interview, consider the types of questions that may arise in each of these rounds, particularly those that assess your technical skills and your ability to work collaboratively within a team.

Here are some tips to help you excel in your interview.

Understand the Role and Company Culture

Before your interview, take the time to familiarize yourself with Grubhub's mission, values, and recent developments in the food delivery industry. Understanding how the Product Analyst role fits into the larger picture will allow you to tailor your responses to demonstrate your alignment with the company's goals. Grubhub values a collaborative and fun work environment, so be prepared to discuss how you thrive in team settings and contribute to a positive workplace culture.

Prepare for Technical and Behavioral Questions

Given the emphasis on product metrics and SQL in this role, ensure you are well-versed in these areas. Brush up on SQL queries, especially those that involve data manipulation and analysis. Practice coding problems that involve grid manipulation and interval merging, as these have been noted in past interviews. Additionally, be ready to discuss your past experiences with data-driven decision-making and how you have used analytics to influence product outcomes.

Showcase Your Problem-Solving Skills

During the interview, you may encounter case study questions or design challenges, such as how to improve restaurant search functionality for diners. Approach these questions methodically: clarify the problem, outline your thought process, and explain your reasoning. Use examples from your past experiences to illustrate how you have tackled similar challenges, focusing on the metrics you used to measure success.

Communicate Clearly and Confidently

Effective communication is key in interviews, especially when discussing complex technical concepts. Practice explaining your thought process clearly and concisely, as interviewers will be looking for your ability to articulate your ideas. Be prepared to break down technical jargon into layman's terms, as this demonstrates your understanding of the material and your ability to communicate with cross-functional teams.

Be Ready for Behavioral Questions

Expect a mix of behavioral questions that assess your teamwork, conflict resolution, and decision-making skills. Prepare specific examples that highlight your ability to work collaboratively, handle challenges, and make data-driven decisions. Use the STAR (Situation, Task, Action, Result) method to structure your responses, ensuring you convey the impact of your actions.

Follow Up and Reflect

After your interview, take the time to reflect on your performance and follow up with a thank-you note to your interviewers. Express your appreciation for the opportunity to interview and reiterate your enthusiasm for the role. This not only shows professionalism but also reinforces your interest in joining the Grubhub team.

By preparing thoroughly and approaching the interview with confidence, you can position yourself as a strong candidate for the Product Analyst role at Grubhub. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Product Analyst interview at Grubhub. The interview process will likely focus on your analytical skills, experience with SQL, and understanding of product metrics. Be prepared to discuss your past experiences, technical skills, and how you approach problem-solving in a product context.

Product Metrics

1. How would you define and measure the success of a new product feature?

Understanding how to evaluate product success is crucial for a Product Analyst role.

How to Answer

Discuss specific metrics you would track, such as user engagement, retention rates, and revenue impact. Emphasize the importance of aligning these metrics with business goals.

Example

“To measure the success of a new feature, I would track user engagement metrics like daily active users and feature adoption rates. Additionally, I would analyze retention rates to see if the feature contributes to keeping users engaged over time. Finally, I would assess the revenue impact by comparing sales data before and after the feature launch.”

2. Describe a time when you used data to influence a product decision.

This question assesses your ability to leverage data in decision-making.

How to Answer

Provide a specific example where your analysis led to a significant product change or decision. Highlight the data sources you used and the outcome of your recommendation.

Example

“In my previous role, I noticed a drop in user engagement after a feature update. I analyzed user feedback and usage data, which revealed that the new design was confusing. I presented my findings to the product team, and we reverted to the previous design, resulting in a 20% increase in user engagement.”

3. What metrics would you consider when analyzing user behavior on the platform?

This question tests your understanding of key performance indicators relevant to user behavior.

How to Answer

Discuss metrics such as conversion rates, churn rates, and user session duration. Explain how these metrics can provide insights into user behavior.

Example

“I would consider metrics like conversion rates to understand how many users complete desired actions, churn rates to identify users who stop using the platform, and session duration to gauge how long users engage with the product. Together, these metrics can help us identify areas for improvement.”

4. How do you prioritize product features based on data?

This question evaluates your ability to make data-driven decisions.

How to Answer

Explain your approach to prioritization, including how you balance user needs, business goals, and data insights.

Example

“I prioritize product features by analyzing user feedback and usage data to identify pain points. I also consider the potential impact on key business metrics, such as revenue and user retention. By using a scoring system that weighs these factors, I can make informed decisions on which features to develop first.”

SQL and Data Analysis

1. Can you explain how you would write a SQL query to calculate monthly averages from a dataset?

This question assesses your SQL skills, which are essential for a Product Analyst.

How to Answer

Outline the steps you would take to write the query, including the use of aggregate functions and grouping.

Example

“To calculate monthly averages, I would use the AVG() function along with GROUP BY to group the data by month. For example, the query would look like: SELECT MONTH(date_column), AVG(value_column) FROM table_name GROUP BY MONTH(date_column); This would give me the average value for each month.”

2. How would you handle missing data in a dataset?

This question tests your analytical thinking and problem-solving skills.

How to Answer

Discuss various strategies for handling missing data, such as imputation, removal, or using algorithms that can handle missing values.

Example

“I would first assess the extent of the missing data. If it’s minimal, I might choose to remove those records. For larger gaps, I would consider imputation methods, such as filling in missing values with the mean or median. Alternatively, I could use algorithms that can handle missing data without imputation.”

3. Describe a complex SQL query you have written and the problem it solved.

This question evaluates your practical experience with SQL.

How to Answer

Provide a specific example of a complex query, explaining the problem it addressed and the outcome.

Example

“I once wrote a complex SQL query to analyze user retention by joining multiple tables, including user activity and subscription data. The query calculated retention rates over different time periods, which helped the product team identify trends and adjust our marketing strategies accordingly.”

4. What are window functions in SQL, and how have you used them?

This question assesses your advanced SQL knowledge.

How to Answer

Explain what window functions are and provide an example of how you have used them in your analysis.

Example

“Window functions allow you to perform calculations across a set of table rows related to the current row. I used window functions to calculate running totals for user sign-ups over time, which helped us visualize growth trends and make data-driven decisions for our marketing campaigns.”

Behavioral Questions

1. Tell me about a time you faced a challenge in a team project. How did you handle it?

This question assesses your teamwork and conflict resolution skills.

How to Answer

Provide a specific example of a challenge, your role in the team, and how you resolved the issue.

Example

“In a recent project, there was a disagreement on the direction of the product feature. I facilitated a meeting where each team member could voice their concerns and suggestions. By encouraging open communication, we reached a consensus that incorporated everyone’s ideas, leading to a successful feature launch.”

2. How do you approach feedback from stakeholders?

This question evaluates your receptiveness to feedback and collaboration skills.

How to Answer

Discuss your approach to receiving and implementing feedback, emphasizing the importance of stakeholder input.

Example

“I view feedback as an opportunity for growth. I actively listen to stakeholders’ concerns and ask clarifying questions to fully understand their perspectives. I then assess how their feedback aligns with our goals and make necessary adjustments to our approach.”

3. Describe a time when you had to make a decision with incomplete data.

This question tests your decision-making skills under uncertainty.

How to Answer

Provide an example where you had to make a decision based on limited information, explaining your thought process.

Example

“During a product launch, we faced a tight deadline and incomplete user feedback. I analyzed the available data and consulted with team members to gather insights. Based on this information, I made a decision to proceed with the launch while planning for a follow-up survey to gather more user feedback post-launch.”

4. What motivates you to work in product analytics?

This question assesses your passion for the role and the industry.

How to Answer

Share your motivations and what excites you about product analytics.

Example

“I am motivated by the opportunity to use data to drive product decisions that enhance user experiences. I find it rewarding to analyze user behavior and translate those insights into actionable strategies that can lead to meaningful improvements in the product.”