Revenue Data Analyst

DoorDash, Inc

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$100,600–$148,000 / yr
Posted
1 day ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $159k
This role $124k
$90k most similar roles pay here $203k

This role pays less than 79% of similar roles. Most pay $126,787–$192,050 — the shaded band above. At the midpoint, this role pays about $124k versus about $159k 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 240 open roles on FindRole.

Listed pay typically runs $130,600–$192,000 across 150 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Revenue Data Analyst

Role Posting Log in to save

As a Revenue Data Analyst at our fast-growing Accounting team, you will be an independent contributor responsible for delivering reliable data insights and supporting revenue-driven decisions. You will own specific problem areas, partner with stakeholders across Finance, Business Operations, Product, and IT to support initiatives like new product launches and order-to-cash processes, and develop SQL queries and Python-based analyses to enhance reporting accuracy. The role requires strong SQL proficiency, experience with Python for data analysis, knowledge of US GAAP and revenue recognition principles, and familiarity with tools such as NetSuite, dbt, or Fivetran. You will work within a dynamic environment, managing multiple tasks and contributing to process improvements by automating manual activities and enhancing data quality controls.

Skills

SQL Python NetSuite dbt Fivetran US GAAP SOX CI/CD AWS Kubernetes PostgreSQL Git Jira Confluence

What you'll do

  • Own revenue account reconciliations and data validation to ensure financial reporting accuracy.
  • Analyze and reconcile revenue data across systems, identifying and resolving discrepancies.
  • Support monthly close processes including revenue reporting and audit documentation preparation.
  • Develop SQL queries and Python analyses for revenue trend investigation and reporting.
  • Partner with stakeholders to support revenue initiatives and new product launches.
  • Contribute to process improvements by automating manual tasks and enhancing data workflows.

What we're looking for

  • Strong SQL proficiency and hands-on experience with Python for data analysis.
  • Experience working with data tools like NetSuite, dbt, or Fivetran to build reports.
  • Foundational knowledge of US GAAP, revenue recognition principles, and SOX controls.
  • Ability to manage multiple tasks in a fast-paced environment and adapt quickly.
  • Own revenue account reconciliations and ensure the accuracy of financial reporting.
  • Develop and maintain SQL queries and Python analyses for revenue trend investigations.

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