Data Analyst, In-Store

DoorDash, Inc

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$98,600–$145,000 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k
This role $122k
$86k most similar roles pay here $217k

This role pays less than 86% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $122k versus about $162k 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 239 open roles on FindRole.

Listed pay typically runs $130,600–$192,000 across 163 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Data Analyst, In-Store

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The SevenRooms Data & Analytics team is seeking a Data Analyst to serve as the 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 on the SevenRooms platform. The analyst will build new data products, design PLG automations that translate product behavior into opportunity tagging and CSM workflows, and apply GenAI and ML techniques to enhance product analytics. Ideal candidates have 2+ years of experience in SaaS environments with strong SQL skills and proficiency in cloud BI tools like Looker or Tableau. Experience with product instrumentation platforms such as Pendo or Amplitude is also required, along with the ability to translate ambiguous questions into rigorous analyses that drive actionable recommendations.

Skills

SQL Looker Tableau Mode Pendo Amplitude Mixpanel Heap GenAI ML Salesforce Gainsight PLG CI/CD

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 enhance analytic and reporting capabilities within the organization.
  • Partner with Product Managers and Marketers on pre-launch hypotheses, beta testing results, post-launch measurement, and optimization.
  • Design and implement PLG automations that translate product behavior into actionable insights in Salesforce and Gainsight.
  • Apply GenAI and ML techniques to improve web-sourced feature adoption opportunities and predictive modeling for transactions.

What we're looking for

  • 2+ years of product data analysis experience in a SaaS environment.
  • Expert SQL skills and proficiency with cloud BI tools like Looker, Tableau, or Mode.
  • Hands-on experience with product instrumentation platforms such as Pendo, Amplitude, Mixpanel, or Heap.
  • Ability to translate ambiguous questions into rigorous analyses that drive actionable recommendations.
  • Strong written and verbal communication skills for presenting to product and executive teams.

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