DoorDash · 1 day ago
Analytics Engineer, GTM Data Infrastructure
Phoenix, AZ
Full-time
Hybrid
Mid, Senior Level
$101K/yr - $148K/yr
4+ years expDoorDash is a technology and logistics company that empowers local economies. The Analytics Engineer will focus on building scalable data platforms, automating workflows, and ensuring data quality while collaborating with cross-functional teams to drive business objectives.
AppsDeliveryE-Commerce PlatformsFood DeliveryOnline Portals
Responsibilities
Partner with Product, Engineering, Data Science & Analytics, Operations, Finance, and other cross-functional stakeholders to understand their needs and deliver data solutions to meet business objectives
Develop frameworks and scalable processes to streamline reporting, drive decision-making, and build first class scalable data platforms/ tools to deliver data quickly, reliably, and accurately
Implement automation solutions, data products and explore/integrate AI capabilities into data tools and applications to enhance productivity and decision-making
Be a strategic partner for the business: Identify opportunities and create solutions to automate and scale ad hoc requests
Build and maintain robust data pipelines and data models using tools like SQL, Python, Airflow, ensuring high data integrity and performance
Drive Strategic Impact: Play a pivotal role in shaping business objectives through the implementation of innovative technological solutions
Own Problem Solving: Enjoy the autonomy to directly address and resolve challenges in collaboration with key business partners
Embrace Continuous Evolution: Thrive in a dynamic environment where you'll encounter new challenges and opportunities to expand your skillset
Develop Diverse Expertise: Continuously enhance both your business acumen and technical capabilities across a wide range of problem domains — including exploring and applying AI capabilities to automate workflows, improve decision-making, and drive innovation in GTM operations
Tackle Ambiguity: Embrace the challenge of solving large, complex problems using an iterative and data-driven approach
Shape Data Infrastructure: Be at the forefront of transforming and managing data to make it insightful and accessible for critical business processes
Influence Decision Making: Define and monitor key metrics, build insightful dashboards, and present findings to senior leadership, directly influencing strategic decisions
Build Scalable Solutions: Develop robust data pipelines and scalable processes that streamline reporting and drive prioritization
Partner Cross-Functionally: Collaborate closely with Product, Engineering, Data Science & Analytics, Operations, Finance, and other teams to deliver data solutions and meet business objectives
Innovate with Technology: Explore and implement automation solutions and AI capabilities to enhance data tools and applications
Qualification
Required
4+ years of experience in analytics engineering in a high-growth environment
Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
Ability to build automation solutions, ETL pipelines and production facing data products to scale business processes
Proficient in SQL and Python and quantitative analysis; you can deep dive into large amounts of data, draw meaningful insights, dissect business issues, and draw actionable conclusions. You can automate business processes and integrate internal systems using python scripts and build unified sources of truths using ETL pipelines
Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems
Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively
Strong attention to detail, structured thinking, and experience developing processes to reduce human error
Master's degree in Mathematics, Statistics, Economics, Engineering, or a related technical field
Good understanding of development processes and best practices like engineering standards, code reviews, and testing
Preferred
Knowledge of CI/CD practices and infrastructure as code
Deploying, monitoring, and maintaining applications/services in AWS and DevOps skills
Experience building dashboards in Sigma/Tableau for performance analysis
Benefits
401(k) plan with employer matching
16 weeks of paid parental leave
Wellness benefits
Commuter benefits match
Paid time off
Paid sick leave in compliance with applicable laws
Medical, dental, and vision benefits
11 paid holidays
Disability and basic life insurance
Family-forming assistance
Mental health program
Company
DoorDash
DoorDash is a food delivery platform that connects customers with local and national businesses. It is a sub-organization of DoorDash.
10001+ employees
H1B Sponsorship
DoorDash has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (530)
2024 (510)
2023 (413)
2022 (612)
2021 (439)
2020 (126)
Funding
Current Stage
Public CompanyTotal Funding
$5.22BKey Investors
Durable Capital PartnersT. Rowe PriceDarsana Capital Partners
2025-05-27Post Ipo Debt· $2.75B
2020-12-09IPO
2020-06-11Series H· $400M
Leadership Team
Tony Xu
CEO and Co-founder
Stanley Tang
Co-Founder / Chief Product Officer
Recent News
Business Insider
2026-01-07
2026-01-07
Deli Market News
2026-01-07
Company data provided by crunchbase