Manager, Data & Analytics, In-Store

DoorDash, Inc

Quick summary

Work type
On-site
Location
New York, NY
Salary
$141,400–$208,000 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $175k
$128k most similar roles pay here $230k

This role pays less than 51% of similar roles. Most pay $142,037–$218,987 — the shaded band above. At the midpoint, this role pays about $175k versus about $181k for comparable roles.

Based on 239 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 238 open roles on FindRole.

Listed pay typically runs $131,600–$193,500 across 156 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Manager, Data & Analytics, In-Store

The Manager of Data & Analytics at SevenRooms leads a growing team of six analysts and engineers responsible for developing data products, AI systems, and reporting infrastructure used across the business. This role combines people management with technical leadership, requiring coaching on career development, owning the data roadmap, and partnering with executive stakeholders globally. Key responsibilities include translating business problems into technical solutions, integrating Salesforce and other GTM tools via APIs, and contributing to AI developer infrastructure. The ideal candidate has over six years of experience in B2B SaaS data analytics, including hands-on work with SQL, DBT, Snowflake or BigQuery, and a proven track record of managing teams and partnering with executives. They should also be fluent in modern AI approaches and capable of leading distributed teams across time zones.

What you'll do

  • Lead and coach a team of senior analysts and BI engineers.
  • Own the data roadmap, balancing investments between AI/ML systems and traditional reporting.
  • Serve as the senior data voice in executive conversations, translating business problems into technical scope.
  • Design and implement solutions for GTM problems using Salesforce and API integrations.
  • Partner with engineering teams to define a "Build vs. Run" model for AI-powered products.
  • Contribute to the development of AI developer infrastructure for faster deployment by D&A team members.

What we're looking for

  • 6+ years of experience in data analytics or BI engineering in B2B SaaS.
  • 2+ years of people management, including hiring and career development.
  • Hands-on experience with enterprise data infrastructure and cloud data warehouses.
  • Proven ability to partner with executive stakeholders across functions.
  • Fluency in modern AI/ML approaches and mentoring production AI systems.
  • Strong communication skills for leading distributed teams and cross-functional forums.

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