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Analytics Engineer, GTM Data Infrastructure

DoorDashSan Francisco, CA; New York, NY; Seattle, WA; Phoenix, AZ
On-site Full-time $100.6K/yr - $148K/yr

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Experience Level

Experience

Qualifications

The ideal candidate should possess a blend of engineering and analytical skills, with experience in automating workflows and building internal tools. Proficiency in SQL, Python, and data modeling is required. A strong understanding of data integrity and performance metrics is essential. Experience with platforms like Salesforce and tools such as Airflow is a plus. A proactive mindset and the ability to collaborate effectively with diverse teams will be key to success in this role.

About the job

Join DoorDash's Go-To-Market Technology (GTMT) team as an Analytics Engineer, where you will harness data to fuel our rapid growth. You will create innovative solutions that streamline business processes and enhance the productivity of our GTM teams. In this role, you will dive deep into data analytics, build scalable tools, and transform insights into actionable strategies that drive business success. Collaborating with cross-functional teams, you will automate workflows, ensure data integrity, and leverage AI capabilities to elevate our data infrastructure.

About DoorDash

At DoorDash, we are on a mission to empower local economies by connecting consumers with their favorite merchants. Our Go-To-Market Technology (GTMT) organization plays a vital role in this mission by providing our teams with reliable data and intuitive workflows. Join a dynamic environment where innovation meets efficiency and help us shape the future of delivery services. With a commitment to growth and a culture that values creativity, DoorDash is the perfect place to advance your career.

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