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:
"overbudget"
if it is over budget and "within budget"
otherwise.user_ids
and tips
, write a function most_tips
to find the user that tipped the most.transactions
table, write a query that finds the third purchase of every user.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.id
, transaction_value
, and created_at
, write a query to get the last transaction for each day.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:
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.
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.
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.
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.
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.
Numerous companies are hiring data analysts across various industries. Some well-known examples include Google, JPMorgan Chase, and Amazon
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!