About the Team
DoorDash provides solutions for merchants to grow their business on their own channels. A wide range of merchants from restaurants to grocery stores to pharmacies rely on DoorDash’s white label delivery service, Drive on-demand, to offer delivery through their own apps and websites. We are looking for an Analytics Manager for a rapidly growing new business vertical within Drive.
About the Role
As the Analytics manager, you’ll be leading a team of data scientists who are working on improving delivery quality and increasing fulfillment efficiency. You will develop strategic insights and work closely with the product, engineering, strategy and operations teams to actively build and measure the impact of new features. You will oversee our metrics and analytics strategy to inform product direction, offer technical leadership and build processes to support velocity, and partner with data and product engineers to build robust data foundations.
You're excited about this opportunity because you will…
- Lead and develop a team of Data Scientists in investigating complex issues and uncovering key drivers of our business, along with your own contributions as an Individual Contributor
- Influence the Product and Operations roadmap by making actionable recommendations based on data
- Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems
- Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis
- Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses
We're excited about you because you have…
- A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
- Experience managing a team of data scientists, and a track record of delivering impactful analyses
- 5+ years of experience in Data Science and Product Analytics, primarily in related industries
- Strength in leading through your technical chops, and ability to leverage it appropriate in the business context
- Deep understanding of, and hands-on experience with experimentation
- Experience with data pipelines
- Excellent communication and cross-functional working skills, including the ability to present complex findings to non-technical audiences and influence strategic decisions