Director/Senior Director, Marketing Analytics
DoorDash USA - San Francisco, California, United States, 94199Work at DoorDash USA
Overview
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Overview
About the RoleAs the leader of our Marketing Analytics team, you’ll use your quantitative background to lead other data scientists and dive into large datasets to guide decision-making. We solve many exciting challenges including customer acquisition, customer activation and retention as well as media mix modeling, marketing attribution and experimentation. If you enjoy building teams to test and learn to optimize marketing performance and customer LTV, we’re looking for someone like you!
You're excited about this opportunity because you will…
Lead a team that creates quantitative analysis to provide insights that help marketing business and product leaders understand marketing performance, customer quality & user behaviors
Define strategies to improve both the marketing effectiveness and efficiency of media performance
Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
Create company projects by identifying essential metrics and building executive-facing dashboards to track progress
Work with our Product & Operations teams to automate our marketing efforts
Present in meetings and business reviews with our executive team and founders
Build a world-class team that includes hiring new leaders and mentoring junior analysts on how to use more advanced methods
We're excited about you because you have…
An advanced degree (Master’s or Ph.D. preferred) in Math, Physics, Statistics, Economics, Computer Science, or similar domain
10+ years of experience in data analytics, consulting, or related quantitative role
Experience working with media mix modeling, marketing measurement and attribution, targeting and creative optimization, online purchase funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
Expertise in Analytics tools, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
Proficiency in one or more analytics and visualization tools (e.g. Chartio, Looker, Tableau)
The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
The determination to initiate and lead projects
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