Analytics Engineer, Data Science

About The Team The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision‑making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high‑impact, data‑driven solutions across Product, Operations, Finance, and more. About The Role As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end‑to‑end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators. This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision‑making at all levels of the company. If you're energized by solving technical problems with data and are comfortable being deeply embedded across several domains, this role is for you! You're Excited About This Opportunity Because You Will… Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them Lead the development of data products and self‑serve tools that enable analytics to scale across the company Build and maintain canonical datasets by developing high‑volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode Be a cross‑functional champion at upholding high data integrity standards to increase reusability, readability and standardization We're Excited About You Because You Have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala Experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma) Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations) Strong communication skills and experience working with technical and non‑technical teams Comfortable working in fast paced environment, self starter and self organizing Ability to think strategically, analyze and interpret market and consumer information Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job‑related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market‑dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. Benefits 401(k) plan with employer matching 16 weeks of paid parental leave wellness benefits commuter benefits match paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) medical, dental, and vision benefits 11 paid holidays disability and basic life insurance family‑forming assistance mental health program See Below For Paid Time Off Details For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay ranges for this position within the United States, including Illinois and Colorado. I4

$117,500—$172,800 USD

I5

$143,800—$211,500 USD

I6

$174,400—$256,500 USD

About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door‑to‑door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well‑being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non‑Discrimination In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non‑binary or gender non‑conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently‑abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non‑discrimination. If you need any accommodations, please inform your recruiting contact upon initial connection. #J-18808-Ljbffr DoorDash