About the Team
The Analytics team is looking for a leader to spearhead Consumer Growth within the Analytics team. This role is important for DoorDash to continue to drive improvements for our active users and will have a direct impact on DoorDash’s growth in the United States, Canada, and Australia. You will lead a team of 16 individuals and work cross-functionally with strategy and operations, product management, analytics, and senior leadership to drive our business forward.
About the Role
As the Director of Consumer Growth Analytics, 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 login and new user experience, customer acquisition, customer activation and retention, and experimentation. If you have a growth mindset and enjoy building teams to test & learn how to optimize consumer growth, 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 the business and product leaders improve performance, customer quality & user experience
- Define strategies to improve both customer growth and retention
- 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 drive consumer growth
- 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, Data Science, Statistics, Economics, Computer Science, or a similar domain
- 10+ years of experience in data analytics, consulting, or related quantitative role
- Experience working with user segmentation, cohort analyses, measurement and experimentation, online purchase funnel optimization, 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. Sigma, Mode, Tableau)
- Experience with Consumer-facing apps and/or websites
- 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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