Analytics Engineer, GTM Data Infrastructure

About The Team

The Go To Market Technology (GTMT) organization enables the growth and productivity of 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 GTMT team to 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, 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.

• Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross‑functional stakeholders to understand their needs and deliver data solutions that meet business objectives.
• Develop frameworks and scalable processes to streamline reporting, drive decision‑making, and build first‑class scalable data platforms 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 by shaping business objectives through innovative technology solutions.
• Own problem‑solving and address challenges in collaboration with key business partners.
• Embrace continuous evolution in a dynamic environment.
• Develop diverse expertise across business and technical domains, including AI integration.
• Tackle ambiguity with an iterative, data‑driven approach.
• Shape data infrastructure to make it insightful and accessible.
• Influence decision‑making by defining metrics, building dashboards and presenting to senior leadership.
• Build scalable solutions that streamline reporting and drive prioritization.
• Partner cross‑functionally across Product, Engineering, Data Science & Analytics, Operations, Finance and other teams.
• Innovate with automation and AI to enhance data tools and applications.

• 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.
• Proficiency in SQL and Python and quantitative analysis; able to deep‑dive into large data sets, extract insights and automate processes.
• Strong problem‑solving and analytical skills transitioning between detailed data and high‑level business problems.
• Excellent communication skills—listening, written and oral—with the ability to present findings & recommendations to diverse audiences.
• Strong interpersonal skills, building relationships and trust across functions.
• 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.

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

• Our leadership is embraced by everyone at Door Dash.
• We are doers who build solutions that drive the company forward.
• We are learners who continually grow on the job.
• We are customer‑obsessed, committed to…