Revenue Data Analyst

DoorDash

Revenue Data Analyst at DoorDash analyzing financial and transactional data, ensuring data accuracy and contributing to process improvement initiatives.

Posted 6/26/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $100,600 - $148,000 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythondata analysisdata validationrevenue reconciliationfinancial reportingdata workflowsreporting accuracyaudit documentationprocess improvements

Soft Skills

adaptabilityproactivitytime managementtask managementlearning agility

Tools & Technologies

NetSuitedbtFivetranERP platformsoperational databases

Industry Keywords

US GAAPrevenue recognitionSOXinternal controlsfinancial analysis

Tech Stack

Tools & technologies

ERPPythonSQL

About the role

Key responsibilities & impact

Own revenue account reconciliations, accounting analyses, and data validation activities to ensure the accuracy and integrity of financial reporting.
Collect, analyze, and reconcile revenue data across accounting systems, ERP platforms, and operational databases, proactively identifying and resolving data discrepancies, anomalies, and reporting issues.
Support month-end, quarter-end, and year-end close processes, including revenue reporting, reconciliations, and preparation of audit-ready documentation for internal and external audits.
Develop and maintain SQL queries, Python-based analyses, reports, and data extracts to investigate revenue trends, improve reporting accuracy, and deliver actionable business insights.
Partner with Revenue Accounting, Finance, Business Operations, Product, and IT stakeholders to support revenue-related initiatives, new product launches, and order-to-cash processes.
Contribute to process improvements by documenting business rules, automating manual reporting activities, enhancing data workflows, and strengthening data quality controls.

Requirements

What you’ll need

Demonstrated ability and willingness to learn quickly, adapt to changing priorities, and effectively manage multiple tasks in a fast-paced environment.
Adaptable and proactive, with the ability to thrive in a fast-paced environment, manage competing priorities, and continuously develop new skills
Strong SQL proficiency and hands-on experience with Python for data analysis and building data workflows.
Foundational knowledge of US GAAP, revenue recognition principles, and SOX/internal controls, or equivalent experience at a large, publicly traded technology company.
Experience working with data tools such as NetSuite, dbt, or Fivetran to build reports, dashboards, and data pipelines.
Bachelor's degree in Accounting, Business, Computer Science, or a related field.

Benefits

Comp & perks

401(k) plan with employer matching
16 weeks of paid parental leave
Wellness benefits
Commuter benefits match
Paid time off
Paid sick leave
Medical benefits
Dental benefits
Vision benefits
11 paid holidays
Disability insurance
Basic life insurance
Family-forming assistance
Mental health program