About the Team The Analytics team is looking for someone to lead our Marketing Analytics team. This role is important for DoorDash to continue driving marketing performance and will be a necessary driver of DoorDash's growth in the United States, Canada, and Australia. You will lead a team that works cross functionally with marketing, strategy and operations, product management, analytics, and senior leadership to drive our business forward.
About the Role As 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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