Analytics Engineer, GTM Data Infrastructure at DoorDash USA

Phoenix, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

148000.0

Posted On

06 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics Engineering, SQL, Python, Data Quality, Data Automation, ETL Pipelines, Data Products, Data Models, Data Integrity, Problem Solving, Communication Skills, Interpersonal Skills, Attention to Detail, Continuous Learning, AI Capabilities, Dashboard Development

Industry

Software Development

Description

About the Team The Go To Market Technology (GTMT) organization enables the growth and productivity for 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 Go-To-Market Technology (GTMT) team, where you'll build elegant solutions that power DoorDash's rapid growth. Specifically, we are seeking proactive and driven individuals who are eager to dive deep into data, build scalable data platforms/tools, and translate insights into actions that drive our business forward. 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. You will be reporting to the Manager of the GTM - Data team in our GTM product and engineering organization. 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. You’re excited about this opportunity because you will: 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. We're excited about you because you have: 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 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. Why You’ll Love Working at DoorDash We are leaders: Leadership is not limited to our management team. It’s something everyone at DoorDash embraces and embodies. We are doers: We believe the only way to predict the future is to build it. Creating solutions that will lead our company and our industry is what we do -- on every project, every day. We are learners: We’re not afraid to dig in and uncover the truth, even if it’s scary or inconvenient. Everyone here is continually learning on the job, no matter if we’ve been in a role for one year or one minute. We are customer obsessed: Our mission is to grow and empower local economies. We are committed to our customers, merchants, and dashers and believe in connecting people with possibility. We are all DoorDash: The magic of DoorDash is our people, together making our inspiring goals attainable and driving us to greater heights. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. 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. To learn more about our benefits, visit our careers page here. See below for paid time off details: 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). The national base pay range for this position within the United States, including Illinois and Colorado. $100,600—$148,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection.

Responsibilities

The role involves partnering with various teams to understand their data needs and delivering solutions that meet business objectives. Responsibilities include developing scalable processes, implementing automation solutions, and maintaining data integrity across systems.