DoorDash Data Analyst Interview Questions + Guide in 2024

Consumers are increasingly turning to online food delivery platforms, whether they’re indulging in their favorite comfort meals or exploring newly opened restaurants nearby, and according to the Restaurant Online Ordering Trends Report, 70% of consumers reported ordering food delivery in the past month, with nearly half placing repeat orders at least once a week.

As a Data Analyst at DoorDash, you play an important role in shaping the company’s strategic direction and enhancing its operational efficiency. By collaborating with various teams, you help identify key trends and opportunities, ensuring that DoorDash remains competitive in the rapidly evolving food delivery market. While securing this position may take time and a lot of effort, candidates can take heart knowing that this role is essential for driving innovation and making a meaningful impact.

In this guide, we’ll walk you through their interview process, provide answers to commonly asked DoorDash data analyst interview questions, and share valuable tips to help you gain a competitive edge over others.

DoorDash data analyst interview process consists of 3 rounds. Here’s what you can expect at each stage:

Recruiter Phone Screen

A 20-30 minute initial phone call with their recruitment team consists of sharing your work experience, level expectations, and other key factors. You’ll also learn more about DoorDash and its interview process at this stage.

Case Study & Codepair Interview

The interview consists of two parts: first, you’ll answer four data-processing questions that will assess your syntax and logic. Next, you’ll have a one-on-one case study discussion via Zoom focused on DoorDash’s three-sided marketplace, where you’ll talk through a vague data science issue relevant to the company. You can check out DoorDash candidate interview prep kit for more information on this round.

Virtual Onsite Interview

In this round, you will have three 45-minute case study interviews and 1-3 behavioral questions (depending on the job level and specific role requirements).

Here are some DoorDash data analyst interview questions that you can prepare for:

1. How would you create a policy for refunds while balancing customer sentiment and goodwill versus revenue tradeoffs?
2. How would you determine the success of a new Dasher payment structure?
3. Write a query to forecast the budget for all projects and return a label of "overbudget" if it is over budget and "within budget" otherwise.
4. Given two nonempty lists of user_ids and tips, write a function most_tips to find the user that tipped the most.
5. How would you measure the effectiveness of giving extra pay to delivery drivers during peak hours to meet consumers’ demands?
6. To improve the customer experience for a food delivery platform, what key parameters would you focus on improving?
7. You run an A/B test to see if highlighting free shipping increases conversions. Based on the results, how would you evaluate if the test is successful?
8. How would you select Dashers for delivery services in New York City and Charlotte? Would the selection criteria be the same for both cities?
9. Given the following transactions table, write a query that finds the third purchase of every user.
10. What are the benefits of dynamic pricing, and how can you estimate supply and demand in this context?
11. Give an example of when you resolved a conflict with someone on the job.
12. Given an employees and departments table, select the top 3 departments with at least ten employees and rank them according to the percentage of their employees making over 100K in salary.
13. How would you use the given ride data to project the lifetime of a new driver on the system? What about the lifetime value of the driver?
14. Why do you want to work at DoorDash?
15. What are your three biggest strengths and weaknesses?
16. How do you prioritize multiple deadlines?
17. Given a table of bank transactions with columns id, transaction_value, and created_at, write a query to get the last transaction for each day.
18. How would you evaluate a feature that helps reduce delivery time?
19. How would you test whether this new feature (telling Dashers when to go online) is working successfully?
20. Write an SQL query to find the average order value for a particular item from a certain period.

Preparing for a data analyst interview at DoorDash mostly consists of brushing up your analytical approach and skills, domain knowledge, and soft skills. Here’s a structured approach to help you get ready:

Understand the Role and Company

Research DoorDash’s business model, especially its three-sided marketplace (Dasher, Customer, and Merchant). Familiarize yourself with their product, partnerships, and any challenges they face in the food delivery industry.

Practice Case Studies and SQL

DoorDash places a strong emphasis on case studies during the interview process and it’s a good practice to prepare for these case study questions as they will likely present you with a business problem to solve using data.

Practice structuring your thought process, asking relevant clarifying questions, and applying data-driven reasoning to arrive at your conclusions. Being able to navigate these case studies effectively will showcase your analytical skills and your ability to contribute to DoorDash’s decision-making processes.

Additionally, don’t forget to practice SQL interview questions, as their analytics team primarily relies on SQL.

Focus on Behavioral Interview Questions

Prepare to answer data analyst behavioral questions using the STAR (Situation, Task, Action, Result) framework. They may ask you about your experience working with different teams, dealing with difficult stakeholders, and prioritizing multiple deadlines.

Participate in Mock Interviews

Nothing beats practicing data analyst interviews with another person to get real-time feedback! Use our P2P Mock Interview Portal and AI Interviewer to conduct mock interviews with friends or fellow candidates. Focus on clear and concise communication to receive constructive feedback on your responses and refine them for your upcoming DoorDash data analyst interview.

What is the average salary for a data analyst role at DoorDash?

According to Glassdoor, the estimated total compensation for a Data Analyst at DoorDash ranges from $98,000 to $152,000 annually, including base salary and additional earnings.

What other companies are hiring data analyst besides DoorDash?

Numerous companies are hiring data analysts across various industries. Some well-known examples include Google, JPMorgan Chase, and Amazon

Does Interview Query have job postings for the DoorDash data analyst role?

Yes! Be sure to check out our Job Board for new and current opportunities at DoorDash. You can also explore their job listings directly on their website.

Working at DoorDash will give you the chance to pave the way for groundbreaking work in the industry while enjoying the fulfillment of reaching the goals you set for yourself.

Wishing you the best in your career journey!