Analytics Engineer, GTM Data Infrastructure

DoorDash USA • Phoenix, AZ

17d

About The Position

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 be reporting to the Manager of the GTM - Data team in our GTM product and engineering organization.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.
• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level