Data Analyst, In-Store

DoorDash, Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NYSan Francisco, CASan Jose, CASeattle, WALos Angeles, CAWashington, DCAustin, TXChicago, IL
Salary
$98,600–$145,000 / yr
Posted
140 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $152k
This role $122k
$89k $186k
below market most similar roles pay here above market

This role pays less than 80% of similar roles. Most pay $126,787–$176,450 — the blue band above. At the midpoint, this role pays about $122k versus about $152k 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 97 open roles on FindRole.

Listed pay typically runs $163,800–$240,900 across 96 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Data Analyst, In-Store

The Data Analyst, In-Store joins the Data & Analytics team to serve as a dedicated data partner for Product Management, Product Marketing, and executive teams. This role involves owning product analytics end-to-end, including funnels, adoption, retention, and ROI for major feature launches. You will build new data products, design PLG automations to translate product behavior into opportunity tagging, and apply GenAI and ML techniques for predictive modeling and ICP scoring. Key responsibilities include partnering on pre-launch hypotheses and shipping recommendations. Candidates must possess a degree in a quantitative field and experience with SaaS product data. Required technical skills include expert SQL, cloud BI tools like Looker, Tableau, or Mode, and experience with instrumentation platforms such as Pendo, Amplitude, Mixpanel, or Heap.

What does a Data Analyst earn?

Median $126775 from 72 postings across 23 companies.

See salary data

What you'll do

  • Own end-to-end product analytics including funnels, adoption, retention, and ROI for major feature launches.
  • Build new data products to improve the company's overall analytic and reporting capabilities.
  • Partner with Product Managers to analyze pre-launch hypotheses, beta testing results, and post-launch measurements.
  • Design and ship PLG automations that translate product behavior into opportunity tagging and CSM workflows.
  • Apply GenAI and ML techniques to model transactions and score Add-On ICPs.
  • Provide ad-hoc analysis and reporting to support multiple Product Managers.

What we're looking for

  • A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
  • 2+ years of experience analyzing product data and partnering with Product Management teams in a SaaS environment.
  • Expert SQL skills.
  • Proficiency with a cloud BI tool such as Looker, Tableau, or Mode.
  • Hands-on experience with product instrumentation and analytics platforms such as Pendo, Amplitude, Mixpanel, or Heap.
  • Demonstrated ability to translate ambiguous product questions into rigorous, scoped analyses that ship recommendations.
  • Strong written and verbal communication skills, including comfort presenting to product and executive audiences.

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