Analytics Engineer, GTM Data Infrastructure

Analytics Engineer, GTM Data Infrastructure

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The Go To Market Technology (GTMT) organization enables the growth and productivity for Door Dash Go-To-Market teams with reliable data, intelligent workflows, and frictionless experiences that move at the speed of Door Dash. We build systems that streamline business processes to be nimble and effective while serving the needs of our Merchants and Customers. We’re looking for analysts to join our Go-To-Market Technology (GTMT) team, where you’ll build elegant solutions that power Door Dash’s rapid growth.

We’re looking for a business‑savvy data specialist who can think like an engineer and act like an analyst. You’ll automate high‑impact GTM workflows, rapidly prototype new business processes, and own end‑to‑end data quality across critical systems. If you’ve built internal tools, scripted away manual reporting pain, or unified Salesforce data across platforms, we want to talk to you. You will report to the Manager of the GTM‑Data team in our GTM product and engineering organization.

• 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.
• Serve as 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 by shaping business objectives through innovative technological solutions.
• Own problem solving, enjoy the autonomy to address and resolve challenges in collaboration with key business partners.
• Embrace continuous evolution in a dynamic environment.
• Develop diverse expertise across business and technical domains, including AI capabilities.
• Tackle ambiguity using an iterative, data‑driven approach.
• Shape data infrastructure to make insights accessible for critical business processes.
• Influence decision making via key metrics, dashboards, and presentations to senior leadership.
• Build scalable solutions and streamline reporting and prioritization.
• Collaborate closely with cross‑functional teams to deliver data solutions and meet business objectives.

• 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.
• Experience building automation solutions, ETL pipelines, and production‑facing data products.
• Proficiency in SQL and Python for quantitative analysis and large data sets.
• Strong problem‑solving and analytical skills between detailed data and high‑level business problems.
• Excellent communication skills to present findings and recommendations.
• Strong interpersonal skills to build relationships and trust across functions.
• Attention to detail and structured thinking 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 such as engineering standards, code reviews, and testing.

• Knowledge of CI/CD practices and infrastructure as code.
• Experience deploying, monitoring, and maintaining applications/services in AWS and Dev Ops skills.
• Experience building dashboards in Sigma/Tableau for performance analysis.

• Leadership is embraced by everyone at Door Dash.
• We are doers who build solutions that lead our company and industry.
• Continuous learning is…