Senior Associate, Strategy & Operations, DoorDash for Business
New
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DoorDashCorporate dining
Location: Seattle, WA; New York, NY; San Francisco, CA; Los Angeles, CAFull-TimeSenior
Salary$87,000 — $128,000 USD
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Job Details
- Experience
- 2–5 years of experience in strategy and operations or growth
- Required Skills
- SQLData Analysis
Requirements
- Have 2–5 years of experience in strategy and operations or growth.
- Bring experience from a marketplace company, high-growth B2B startup, or early-stage AI company, ideally.
- Write SQL fluently and work comfortably with large datasets.
- Find root causes in data and turn complex analysis into clear recommendations.
- Have run growth or conversion experiments and be able to distinguish real lift from noise.
- Use AI tools such as Claude, ChatGPT, Cursor, or similar in daily work to automate workflows and analyze data.
- Be comfortable with customer-facing work, including writing clear emails and resolving issues with frustrated customers.
- Spot patterns in customer issues and assess their urgency for product partners.
- Own problems from diagnosis through testing and rollout, and build processes in ambiguous environments.
- Communicate clearly with customers, merchants, cross-functional partners, and senior leadership.
Responsibilities
- Analyze the self-serve funnel from visitor through sign-up, activation, and repeat ordering, and run experiments across acquisition, onboarding, selection, and promotions.
- Write SQL to size problems, segment customers, measure lift, and distinguish meaningful results from noise.
- Build dashboards and automated checks to support a growing customer base.
- Email customers, resolve issues, and proactively contact teams that are stuck, at risk, or churned.
- Identify patterns in customer issues and communicate their severity and metric impact to product and engineering.
- Investigate order defects, including late deliveries, point-of-sale issues, and failed drop-offs, and coordinate fixes with merchants, Dashers, and support partners.
- Build AI-assisted workflows to flag at-risk customers, orders, and merchants and replace manual analysis with repeatable processes.
- Bring customer, merchant, and order data to product, engineering, and operations partners as recommendations.
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