DoorDash USA
Analytics Engineer, GTM Data Infrastructure
DoorDash USA, San Francisco, California, United States, 94199
San Francisco, CA; New York, NY; Seattle, WA; Phoenix, AZ
About the Team The Go To Market Technology (GTMT) organization enables the growth and productivity of DoorDash Go‑To‑Market teams with reliable data, intelligent workflows, and frictionless experiences that move at the speed of DoorDash. 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 team to build elegant solutions that power DoorDash’s rapid growth.
About the Role 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.
Responsibilities
Partner with Product, Engineering, Data Science & Analytics, Operations, Finance, and other cross‑functional stakeholders to understand 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/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.
Qualifications
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 with strong quantitative analysis skills.
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.
Nice to Have
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 & Culture
Competitive base salary commensurate with market rates.
Comprehensive health, dental, and vision benefits.
401(k) plan with company match.
Paid and unpaid time off (vacation, sick, parental leave).
Wellness programs, mental‑health support, and employee assistance programs.
Professional development budget and continued learning opportunities.
Employee discounts, flexible work arrangements, and remote‑friendly culture.
DoorDash is an equal opportunity employer. We celebrate diversity and inclusion, and are committed to providing a workplace free from discrimination or harassment.
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About the Team The Go To Market Technology (GTMT) organization enables the growth and productivity of DoorDash Go‑To‑Market teams with reliable data, intelligent workflows, and frictionless experiences that move at the speed of DoorDash. 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 team to build elegant solutions that power DoorDash’s rapid growth.
About the Role 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.
Responsibilities
Partner with Product, Engineering, Data Science & Analytics, Operations, Finance, and other cross‑functional stakeholders to understand 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/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.
Qualifications
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 with strong quantitative analysis skills.
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.
Nice to Have
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 & Culture
Competitive base salary commensurate with market rates.
Comprehensive health, dental, and vision benefits.
401(k) plan with company match.
Paid and unpaid time off (vacation, sick, parental leave).
Wellness programs, mental‑health support, and employee assistance programs.
Professional development budget and continued learning opportunities.
Employee discounts, flexible work arrangements, and remote‑friendly culture.
DoorDash is an equal opportunity employer. We celebrate diversity and inclusion, and are committed to providing a workplace free from discrimination or harassment.
#J-18808-Ljbffr