Chewy Data Analyst Interview Questions + Guide in 2025

Chewy is a leading online retailer of pet food and supplies, dedicated to delivering a seamless shopping experience for pet owners and their beloved companions.

As a Data Analyst at Chewy, you will play a critical role in leveraging data to enhance the company's strategic objectives and customer satisfaction. Your responsibilities will include analyzing large sets of diverse data, creating insightful reports, and developing dashboards that inform decision-making across various departments. You will collaborate closely with cross-functional teams, including product managers and engineers, to identify key performance indicators (KPIs) and develop analytics frameworks that align with Chewy's growth strategies.

The ideal candidate will possess strong technical skills in SQL, data visualization tools like Tableau, and advanced Excel functions, with a knack for storytelling through data. A background in e-commerce or retail analytics is highly desirable as you will be expected to assess business performance and provide actionable insights that drive financial outcomes. Strong communication skills, both verbal and written, are essential, as is the ability to work independently while fostering collaboration within a team-oriented environment.

This guide will provide you with valuable insights and tailored preparation strategies to help you excel in your interview for the Data Analyst position at Chewy, ensuring you present your skills and experiences effectively.

The interview process for a Data Analyst position at Chewy is structured to assess both technical skills and cultural fit within the organization. Candidates can expect a multi-step process that includes several rounds of interviews, each focusing on different aspects of the role.

1. Initial Screening

The first step typically involves a screening call with a recruiter. This 30-minute conversation is designed to provide an overview of the position and the company, while also allowing the recruiter to gauge your background, skills, and motivations. Expect to discuss your resume, relevant experiences, and how they align with Chewy's values and culture.

2. Technical Assessment

Following the initial screening, candidates may be required to complete a technical assessment. This could involve a HackerRank test or a similar platform where you will be evaluated on your SQL skills, data manipulation, and analytical thinking. The assessment is designed to test your ability to work with data and solve problems relevant to the role.

3. Behavioral Interview

The next phase usually consists of a behavioral interview, which may last around 40 minutes. During this interview, you will be asked a series of questions aimed at understanding how you approach challenges, work in teams, and handle pressure. Be prepared to share specific examples from your past experiences that demonstrate your problem-solving abilities and creativity.

4. Technical Interview

After the behavioral interview, candidates typically participate in a technical interview. This round focuses on your proficiency in tools and technologies relevant to the role, such as SQL, Tableau, and Python. Interviewers may ask you to explain your past projects, discuss your analytical methodologies, and solve case studies that reflect real-world scenarios you might encounter at Chewy.

5. Final Interview

The final interview often involves meeting with the hiring manager or team lead. This round may include a mix of behavioral and technical questions, as well as discussions about your long-term career goals and how they align with Chewy's objectives. This is also an opportunity for you to ask questions about the team dynamics, company culture, and expectations for the role.

Throughout the interview process, candidates should be prepared to demonstrate their analytical skills, technical knowledge, and ability to communicate insights effectively.

Next, let's explore the specific interview questions that candidates have encountered during this process.

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

Understand the Competitive Landscape

Given that the interview process at Chewy can be quite competitive, it's crucial to familiarize yourself with the company's position in the e-commerce and pet care market. Research Chewy's recent initiatives, partnerships, and any challenges they may be facing. This knowledge will not only help you answer questions more effectively but also demonstrate your genuine interest in the company and its mission.

Prepare for Behavioral Questions

Chewy places a strong emphasis on behavioral interviews, so be ready to discuss your past experiences in detail. Use the STAR (Situation, Task, Action, Result) method to structure your responses. Highlight specific projects where you made a significant impact, particularly those that involved data analysis and decision-making. Be prepared to discuss how your work has influenced revenue or improved processes, as this aligns with what Chewy values in candidates.

Showcase Your Technical Skills

Technical proficiency is a must for a Data Analyst role at Chewy. Brush up on SQL, Tableau, and Excel, as these tools are frequently mentioned in the interview process. Be ready to solve practical problems or case studies during the interview, as candidates have reported being asked to demonstrate their technical capabilities. Practice common SQL queries and data visualization techniques to ensure you can showcase your skills effectively.

Communicate Clearly and Confidently

Effective communication is key, especially when presenting complex data insights. Practice explaining your analytical findings in a clear and concise manner, as you may need to present your insights to non-technical stakeholders. Tailor your communication style to your audience, ensuring that you can convey technical information in an accessible way.

Emphasize Collaboration and Leadership

Chewy values cross-functional collaboration, so be prepared to discuss how you've worked with different teams in the past. Highlight any leadership experiences, even if informal, where you guided a project or mentored others. Demonstrating your ability to work well with diverse teams will resonate with Chewy's culture of collaboration.

Be Ready for Case Studies

Expect to encounter case study questions that require you to analyze a business scenario and provide actionable insights. Practice structuring your thought process and articulating your reasoning. Focus on how you would approach the problem, the data you would need, and the metrics you would use to measure success.

Follow Up with Questions

At the end of your interview, take the opportunity to ask insightful questions about the team, the analytics tools they use, or the challenges they face. This not only shows your interest in the role but also helps you gauge if Chewy is the right fit for you. Tailor your questions based on your research about the company and the specific team you are interviewing with.

By following these tips, you can position yourself as a strong candidate for the Data Analyst role at Chewy. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Chewy. The interview process will likely assess your technical skills, analytical thinking, and ability to communicate insights effectively. Be prepared to discuss your past experiences, demonstrate your technical proficiency, and showcase your problem-solving abilities.

Technical Skills

1. Can you explain the process of connecting SQL to Tableau?

Understanding how to integrate SQL with Tableau is crucial for data visualization.

How to Answer

Discuss the steps involved in connecting Tableau to a SQL database, including selecting the appropriate data source and writing SQL queries to extract the necessary data.

Example

“To connect SQL to Tableau, I first select ‘Connect to Data’ in Tableau and choose the SQL database option. Then, I enter the server details and credentials. After establishing the connection, I can write custom SQL queries to pull specific datasets, which allows for tailored visualizations based on the data I need.”

2. Describe a SQL query you wrote that had a significant impact on a project.

This question assesses your practical SQL skills and the impact of your work.

How to Answer

Provide a specific example of a SQL query you wrote, the problem it addressed, and the outcome of your analysis.

Example

“I wrote a SQL query to analyze customer purchase patterns over the last year. By aggregating sales data by month and product category, I identified a 20% increase in demand for a specific product line, which led to a targeted marketing campaign that boosted sales by 15%.”

3. How would you optimize a slow-running SQL query?

This question tests your problem-solving skills and understanding of database performance.

How to Answer

Discuss techniques such as indexing, query restructuring, and analyzing execution plans to improve query performance.

Example

“To optimize a slow-running SQL query, I would first analyze the execution plan to identify bottlenecks. Then, I might add indexes to frequently queried columns, rewrite the query to reduce complexity, or break it into smaller, more manageable parts to improve performance.”

4. What are some key metrics you would track for an e-commerce business?

This question evaluates your understanding of business performance indicators.

How to Answer

Mention specific metrics relevant to e-commerce, such as conversion rates, customer acquisition cost, and average order value.

Example

“For an e-commerce business, I would track metrics like conversion rates to measure the effectiveness of marketing efforts, customer acquisition cost to evaluate the efficiency of our spending, and average order value to understand purchasing behavior and identify opportunities for upselling.”

5. Can you explain the difference between inner join and outer join in SQL?

This question assesses your knowledge of SQL joins, which are fundamental for data analysis.

How to Answer

Define both types of joins and provide examples of when to use each.

Example

“An inner join returns only the rows that have matching values in both tables, while an outer join returns all rows from one table and the matched rows from the other. For instance, if I want to find customers who made purchases, I would use an inner join. If I want to see all customers, regardless of whether they made a purchase, I would use a left outer join.”

Behavioral Questions

1. Tell me about a time you had to analyze a large dataset under a tight deadline.

This question evaluates your ability to work under pressure and manage time effectively.

How to Answer

Describe the situation, your approach to analyzing the data, and the outcome.

Example

“I was tasked with analyzing customer feedback data to identify trends before a product launch. With only a week to complete the analysis, I prioritized key metrics and used automated scripts to expedite data processing. I delivered actionable insights on time, which helped the marketing team tailor their strategy for the launch.”

2. How do you ensure the accuracy of your data analysis?

This question assesses your attention to detail and commitment to quality.

How to Answer

Discuss your methods for validating data and ensuring accuracy in your analyses.

Example

“I ensure the accuracy of my data analysis by implementing a multi-step validation process. This includes cross-referencing data sources, conducting sanity checks on key metrics, and peer-reviewing my findings with colleagues to catch any discrepancies before finalizing my reports.”

3. Describe a time when you had to present complex data to a non-technical audience.

This question evaluates your communication skills and ability to simplify complex information.

How to Answer

Share your approach to making data accessible and engaging for a non-technical audience.

Example

“I once presented sales data to the marketing team, who had limited technical knowledge. I focused on visualizations to illustrate trends and used simple language to explain the implications of the data. By relating the findings to their marketing strategies, I ensured they understood the insights and could act on them.”

4. What is your proudest project, and what was your role in it?

This question allows you to showcase your achievements and contributions.

How to Answer

Choose a project that highlights your skills and the impact of your work.

Example

“My proudest project was developing a dashboard for tracking customer engagement metrics. I led the project from inception to completion, collaborating with cross-functional teams to gather requirements. The dashboard provided real-time insights that improved decision-making and increased customer retention by 10%.”

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

This question assesses your organizational skills and ability to manage competing priorities.

How to Answer

Discuss your approach to prioritization and time management.

Example

“I prioritize tasks by assessing their urgency and impact on business goals. I use project management tools to track deadlines and progress, and I regularly communicate with stakeholders to ensure alignment on priorities. This approach helps me stay focused and deliver high-quality work on time.”