Manager, Data & Analytics, In-Store

DoorDash, Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYSan Francisco, CASan Jose, CASeattle, WALos Angeles, CAWashington, DCAustin, TXChicago, IL
Salary
$141,400–$208,000 / yr
Posted
102 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $187k
This role $175k
$132k most similar roles pay here $230k

This role pays less than 58% of similar roles. Most pay $159,000–$214,975 — the shaded band above. At the midpoint, this role pays about $175k versus about $187k 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 · Manager, Data & Analytics, In-Store

Manager, Data & Analytics, In-Store leads a team of analysts and engineers within the In-Store organization to manage data products, AI systems, and reporting infrastructure. This role serves as both a people leader and a senior technical voice, responsible for coaching staff, owning the data roadmap across GTM, Product, Finance, and Partnerships, and translating complex business problems into technical scope. The position involves building predictive AI/ML models, managing Salesforce integrations, and developing automated reporting layers to modernize revenue tracking. Key requirements include expertise in SQL, DBT, and modern cloud data warehouses like Snowflake or BigQuery, alongside experience with Looker and the GenAI tooling ecosystem. The role addresses critical business problems by creating infrastructure for human and AI consumption, ensuring data readiness across various segments while managing high-complexity projects within a complex multi-regional data environment.

What you'll do

  • Lead, coach, and manage a team of analysts and engineers including hiring and performance management.
  • Own the end-to-end data and analytics roadmap across GTM, Product, Finance, and Partnerships.
  • Act as the senior technical voice in executive meetings to translate business problems into technical scope.
  • Develop predictive AI/ML systems, automated reporting infrastructure, and advanced churn models.
  • Design and implement technical patterns for GenAI products and internal developer tools.
  • Partner with cross-functional teams to define operating models and integrate data across the enterprise stack.
  • Manage high-complexity technical projects involving SQL, DBT, Snowflake/BigQuery, and Salesforce integrations.

What we're looking for

  • A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
  • 6+ years of experience in data analytics, BI engineering, or analytics engineering in a B2B SaaS environment.
  • Technical proficiency in SQL, DBT, and modern cloud data warehouses like Snowflake or BigQuery.
  • 2+ years of people management experience including hiring, performance management, and career development.
  • Experience managing enterprise data infrastructure including Looker, DBT modeling at scale, and Salesforce-to-warehouse pipelines.
  • Proficiency with modern AI/ML approaches, including predictive modeling and LLM-powered workflows.
  • Proven ability to partner with executive stakeholders to translate business problems into technical scope.
  • Strong written and verbal communication skills for leading distributed teams across multiple time zones.

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