Preparing for a Financial Analyst interview at Chewy requires a balanced approach. You cannot rely solely on your financial knowledge or your technical coding skills; you must demonstrate how they work in tandem to solve complex business problems.

Reviewing the key evaluation criteria will help you structure your preparation and present your experience effectively to the hiring team.

Role-Related Knowledge – You must demonstrate a strong grasp of core corporate finance concepts, such as budgeting, forecasting, variance analysis, and margin evaluation. Additionally, familiarity with e-commerce business models, subscription metrics (like churn and customer acquisition costs), and supply chain logistics is highly valued.

Technical and Automation Mindset – Chewy looks for analysts who actively seek to eliminate manual bottlenecks. You should be prepared to discuss your experience with data extraction tools like SQL and show how you have used technology (such as VBA, Python, or advanced Excel) to automate workflows and save time.

Problem-Solving and Structured Thinking – Interviewers want to see how you approach ambiguous business problems. You should be able to break down a complex scenario, identify the key financial drivers, make reasonable assumptions when data is missing, and arrive at a logical, data-backed recommendation.

Behavioral Alignment – Your alignment with Chewy's culture is heavily scrutinized throughout the process. Be ready to share concrete examples from your past that highlight your ownership, accountability, and ability to collaborate across diverse, cross-functional teams.

The interview loop for a Financial Analyst at Chewy is comprehensive and designed to thoroughly evaluate your technical capabilities, business acumen, and cultural fit. Candidates frequently note that the process is highly structured and professional, though it can feel lengthy, sometimes taking up to a full month to complete.

The process typically begins with an initial HR screening call, which focuses on your background, basic qualifications, and salary expectations. From there, you will move to a hiring manager or director interview, where the discussion shifts to your specific work history, technical skills, and situational problem-solving.

Following the initial conversations, you will often be asked to complete a take-home technical or analytical test, which is a major differentiator in the process. The final round consists of a comprehensive panel interview—sometimes conducted over consecutive days—where you will meet with multiple team members for deep dives into both your technical capabilities and your behavioral alignment.

The visual timeline above outlines the standard progression of the hiring journey. Candidates should use this roadmap to pace their preparation, ensuring they allocate sufficient time to practice technical skills before the take-home test and refine their behavioral stories prior to the final panel loop. While some stages may vary slightly depending on the specific team or seniority level, this structure represents the core pipeline.

To stand out during the Chewy interview process, you must excel in three core evaluation areas: Financial Modeling, SQL & Automation, and Behavioral Alignment. Below is a detailed breakdown of what is expected in each category and how to prepare.

Financial Modeling & Take-Home Case Study

The take-home case study is designed to simulate the day-to-day work of a Financial Analyst at Chewy. You will be given a raw dataset or a business scenario and asked to build a structured financial model and present your recommendations.

The hiring team evaluates your attention to detail, the logic of your formulas, and your ability to distill complex data into a clear executive summary. They want to see that you can build a dynamic model that allows for scenario testing rather than a static spreadsheet with hardcoded numbers.

Be ready to go over:

• Dynamic Excel Modeling – Building clean, error-free models using advanced formulas (INDEX/MATCH, XLOOKUP, SUMIFS) and avoiding hardcoded variables.
• Scenario and Sensitivity Analysis – Showing how financial outcomes change based on different business inputs, such as fluctuating shipping costs or customer retention rates.
• Executive Presentation – Translating your model's outputs into a concise, high-level summary that outlines the business opportunity, risks, and final recommendation.
• Advanced concepts (less common) – Integrating basic statistical forecasting methods or building automated dashboards within your model to visualize key trends.

Example scenarios:

• "Analyze the profitability of launching a new pet wellness subscription service, considering customer acquisition costs, monthly churn, and fulfillment expenses."
• "Build a 3-year revenue forecast for a specific product category based on historical sales data, adjusting for seasonal trends and marketing spend."

SQL & Process Automation

At Chewy, financial data is massive and stored across complex databases. You will frequently need to write your own queries to pull the data required for your analyses, rather than relying on pre-formatted reports.

Interviewers will ask about your comfort level with SQL and look for a proactive mindset toward automation. They want to hear about times you looked at a repetitive manual task and built a query, script, or macro to streamline it.

Be ready to go over:

• SQL Query Mechanics – Writing clean queries using SELECT, JOIN, GROUP BY, and basic aggregations to extract specific datasets.
• Automation Philosophy – Identifying manual inefficiencies in your workflows and leveraging tools to save time and reduce human error.
• Data Integrity and Auditing – Validating your query results to ensure the data you extract is accurate before using it in your financial models.
• Advanced concepts (less common) – Utilizing window functions (such as ROW_NUMBER or LAG/LEAD) in SQL, or writing basic Python scripts to automate data pipelines.

Example scenarios:

• "Write a query to extract the top 10% of customers by total spend over the last fiscal year, segmenting them by their Autoship subscription status."
• "Walk me through how you would automate a weekly financial report that currently requires manual copy-pasting from three different systems."

Behavioral & Operating Principles

Chewy places a massive emphasis on its core operating principles, such as Customer Obsession, Ownership, and Diving Deep. Your behavioral interviews will test how you embody these values in your daily work.

Interviewers will ask highly specific situational questions about your past roles. They will look for structured answers that demonstrate accountability, a bias for action, and the ability to navigate professional challenges with maturity.

Be ready to go over:

• The STAR Method – Structuring your behavioral answers by clearly defining the Situation, Task, Action, and measurable Result.
• Ownership and Accountability – Discussing times you took full responsibility for a project, including how you handled mistakes or unexpected roadblocks.
• Cross-Functional Collaboration – Explaining how you build relationships and communicate financial insights to partners outside of the finance team.
• Advanced concepts (less common) – Navigating situations where you had to make a high-impact financial decision with highly ambiguous or conflicting data.

Example scenarios:

• "Tell me about a time you noticed a significant variance in a financial forecast but did not have immediate access to the underlying data. How did you investigate it?"
• "Describe a situation where you had to push back on a business partner's budget request. How did you maintain a positive working relationship while protecting the company's financial interests?"

As a Financial Analyst at Chewy, your daily responsibilities will revolve around driving financial visibility and supporting strategic decision-making. You will own the budgeting and forecasting processes for your assigned business unit, closely monitoring actual performance against targets and conducting detailed variance analyses to explain any discrepancies.

A significant portion of your time will be spent partnering with operational teams—such as supply chain managers, marketing directors, or merchandising leads—to help them understand the financial implications of their decisions. You will act as a financial gatekeeper, evaluating business cases, analyzing cost structures, and identifying opportunities to optimize spend and improve margins.

Additionally, you will be responsible for maintaining and improving the financial data infrastructure of your team. This includes writing SQL queries to extract data, building and updating financial models, and creating automated dashboards to track key performance indicators (KPIs). You will regularly prepare financial decks and present your findings to senior leadership, providing them with the objective, data-backed insights they need to steer the company forward.

To be competitive for the Financial Analyst position at Chewy, you should possess a strong foundation in corporate finance, robust technical capabilities, and excellent communication skills.

• Must-have skills – Strong proficiency in Microsoft Excel (advanced modeling, formulas, and data analysis); solid understanding of core financial concepts (P&L management, forecasting, and variance analysis); and basic to intermediate SQL skills for data extraction.
• Nice-to-have skills – Experience with data visualization tools (such as Tableau or Power BI); familiarity with automation tools (VBA, Alteryx, or Python); and prior experience working in the e-commerce, retail, or supply chain sectors.
• Experience level – Typically requires a Bachelor's degree in Finance, Accounting, Economics, or a highly quantitative field, along with 1 to 3 years of experience in corporate finance, investment banking, or analytical roles.
• Soft skills – Exceptional written and verbal communication skills, with the ability to explain complex financial concepts to non-finance stakeholders; a strong sense of ownership and curiosity; and the ability to thrive in a fast-paced, ambiguous environment.