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!

Requirements

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,

for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being.

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.

Benefits

package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness

, commuter

Analytics Engineer, Data Science