Associate Manager, B2B Audience Analyst

DoorDash

B2B Audience Analyst at DoorDash building data-driven lifecycle strategies. Collaborate with Analytics, BI, Engineering, and Marketing to drive retention and growth initiatives.

Posted 5/4/2026full-timeRemote • California, New York • 🇺🇸 United StatesJuniorMid-Level💰 $108,800 - $160,000 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Identify merchant trends and surface opportunities to intervene across the lifecycle to drive retention and growth
Build and scale standardized audience segments using SQL to enable repeatable, high-impact lifecycle strategies
Develop forecasting models to size opportunities, prioritize initiatives, and quantify expected impact of campaigns and experiments
Design and analyze experiments to evaluate incrementality, identify performance drivers, and iterate on lifecycle strategies
Partner cross-functionally with BI, Analytics, Engineering, and MarTech to build and maintain ETLs, ensuring accurate and dynamic data flows into CRM platforms
Define and implement data logic to power automated lifecycle programs across channels
Create dashboards and reporting frameworks to provide visibility into campaign, experiment, and program performance
Establish measurement standards and attribution frameworks to ensure consistent and reliable performance tracking
Drive operational rigor and scalability across Merchant and B2B retention programs by building foundational systems and processes

Requirements

What you’ll need

Bachelor’s degree or equivalent experience and 4+ years of experience in analytics, growth marketing, strategy & operations, consulting, or a related field
Strong SQL skills and experience working with large, complex datasets to build audiences, diagnose issues, and generate insights
Proven experience in forecasting, modeling, and translating data into actionable business strategies
Hands-on experience designing experiments and analyzing campaign performance, including incrementality and causal impact
Experience partnering with technical teams (BI, Engineering, Data) to build data pipelines, ETLs, or scalable data infrastructure
Experience working with CRM platforms, lifecycle marketing systems, or engagement tooling
Strong analytical and problem-solving skills, with the ability to operate independently and prioritize high-impact work
Excellent stakeholder management skills and experience working cross-functionally across Product, Analytics, Marketing, and Operations
A track record of building scalable processes or systems from scratch in ambiguous, fast-paced environments

Benefits

Comp & perks

401(k) plan with employer matching
16 weeks of paid parental leave
Wellness benefits
Commuter benefits match
Paid time off
Paid sick leave
Medical benefits
Dental benefits
Vision benefits
11 paid holidays
Disability insurance
Basic life insurance
Family-forming assistance
Mental health program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLforecastingmodelingdata analysisexperiment designcampaign performance analysisdata logic implementationautomated lifecycle programsdata pipeline developmentETL

Soft Skills

analytical skillsproblem-solving skillsstakeholder managementcross-functional collaborationindependent operationprioritizationcommunicationorganizational skillsstrategic thinkingadaptability