Revenue Data Analyst

DoorDash USA

6d•$100,600 - $148,000•Remote

About The Position

This role supports revenue accounting operations by analyzing financial and transactional data, ensuring data accuracy, assisting with revenue reporting, and contributing to process improvement initiatives. The Revenue Data team is seeking a fully independent contributor who delivers reliable, high-quality data insights and supports revenue-driving decisions. They own defined problem areas, partner effectively with stakeholders, and translate data into clear, actionable insights. You will report into the Revenue Data Manager on our Accounting team within the Finance organization.

Requirements

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.

Responsibilities

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.