DoorDash is seeking a Revenue Data Analyst to support revenue accounting operations by analyzing financial and transactional data, ensuring data accuracy, assisting with revenue reporting, and contributing to process improvements. This role is an independent contributor within the Revenue Data team and reports to the Revenue Data Manager on the Finance organization. You will own revenue account reconciliations, perform data collection and reconciliation across accounting systems, ERP platforms, and operational databases, and proactively identify and resolve data discrepancies and reporting issues. You will support month-end, quarter-end, and year-end close processes, including revenue reporting, reconciliations, and preparation of audit-ready documentation. You will develop and maintain SQL queries, Python-based analyses, reports, and data extracts to investigate revenue trends and deliver actionable insights. You will partner with Revenue Accounting, Finance, Business Operations, Product, and IT to support revenue initiatives, new product launches, and order-to-cash processes. You will contribute to process improvements by documenting business rules, automating manual reporting activities, enhancing data workflows, and strengthening data quality controls. Requirements include strong SQL proficiency and hands-on Python experience, foundational knowledge of US GAAP, revenue recognition principles, and SOX/internal controls (or equivalent experience at a large, publicly traded tech company). Experience with NetSuite, dbt, or Fivetran for building reports and data pipelines is

DoorDash is seeking a Revenue Data Analyst to support revenue accounting operations by analyzing financial and transactional data, ensuring data accuracy, assisting with revenue reporting, and contributing to process improvements. This role is an independent contributor within the Revenue Data team and reports to the Revenue Data Manager on the Finance organization. You will own revenue account reconciliations, perform data collection and reconciliation across accounting systems, ERP platforms, and operational databases, and proactively identify and resolve data discrepancies and reporting issues. You will support month-end, quarter-end, and year-end close processes, including revenue reporting, reconciliations, and preparation of audit-ready documentation. You will develop and maintain SQL queries, Python-based analyses, reports, and data extracts to investigate revenue trends and deliver actionable insights. You will partner with Revenue Accounting, Finance, Business Operations, Product, and IT to support revenue initiatives, new product launches, and order-to-cash processes. You will contribute to process improvements by documenting business rules, automating manual reporting activities, enhancing data workflows, and strengthening data quality controls. Requirements include strong SQL proficiency and hands-on Python experience, foundational knowledge of US GAAP, revenue recognition principles, and SOX/internal controls (or equivalent experience at a large, publicly traded tech company). Experience with NetSuite, dbt, or Fivetran for building reports and data pipelines is