Senior Manager, Core Consumer Analytics

DoorDash, Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CASunnyvale, CASeattle, WANew York, NYLos Angeles, CAChicago, IL
Salary
$219,700–$323,000 / yr
Posted
32 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $271k
$131k most similar roles pay here $344k

This role pays more than 91% of similar roles. Most pay $165,000–$228,237 — the shaded band above. At the midpoint, this role pays about $271k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 187 open roles on FindRole.

Listed pay typically runs $144,800–$212,950 across 166 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Senior Manager, Core Consumer Analytics

Senior Manager, Core Consumer Analytics leads a team of data scientists within the Core Consumer team to enhance personalization, search relevance, and merchandising strategy. This role involves developing strategic insights, overseeing metrics and analytics strategies, and building robust data foundations in partnership with engineering teams. The manager will drive measurement strategies, define success metrics, and implement best practices for experiment design and statistical analysis to influence product and operations roadmaps. Key responsibilities include identifying business drivers, creating learning roadmaps based on hypotheses, and presenting complex findings to senior leadership. Candidates must possess a degree in Math, Physics, Statistics, Economics, or Computer Science, along with extensive experience in data science, product analytics, and people management. Required competencies include technical leadership, expertise in experimentation, knowledge of data pipelines, and the ability to communicate effectively across cross-functional teams.

What you'll do

  • Lead and develop a team of data scientists to investigate complex business issues and uncover key drivers.
  • Influence product and operations roadmaps by providing actionable recommendations based on data analysis.
  • Define success metrics and implement best practices for experiment design and statistical analysis.
  • Develop a strategic learning roadmap based on data observations, hypotheses, and strategic questions.
  • Partner with engineers to build robust data foundations and infrastructure.
  • Present complex findings to senior leadership to influence strategic decision-making.
  • Oversee the team's metrics and analytics strategy to inform overall product direction.

What we're looking for

  • A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
  • 8+ years of experience in Data Science and Product Analytics, primarily in related industries.
  • 3+ years of experience as a people manager.
  • Experience managing a team of data scientists with a track record of delivering impactful analyses.
  • Deep understanding of and hands-on experience with experimentation.
  • Experience with data pipelines.
  • Excellent communication skills to present complex findings to non-technical audiences and influence strategic decisions.

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