Principal Revenue Data Analyst

Toast • San Francisco, CA

1d

About The Position

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a member of the Revenue Accounting team, you will build the analytics and automation layer that moves Toast from manual spreadsheets toward system-driven controls and reconciliations. This is a high-impact, hands-on role sitting at the intersection of Accounting, Finance Systems, and Data Engineering.

Requirements

• Experience: 6–9+ years in data analytics, finance systems, or BI, preferably within fintech, payments, or high-volume e-commerce.
• Technical Proficiency: Expert-level SQL skills and hands-on experience building analytical tables and views in Snowflake (or similar warehouses).
• Visualization: Proven ability to develop auditable, user-friendly dashboards in Sigma, Tableau, or comparable BI tools.
• Financial Literacy: Solid understanding of financial concepts such as revenue flows, accruals, and balance sheet reconciliations.
• Execution: Ability to operate independently as a high-level individual contributor, managing complex projects in an evolving environment.

Nice To Haves

• Experience with automation/ETL tools (Alteryx, dbt, or similar).
• Exposure to SOX compliance and audit processes related to data reporting.
• Familiarity with NetSuite or payment processor settlement systems.

Responsibilities

• Data Modeling: Build and maintain event-based analytical tables in Snowflake (transactions, settlements, fees) to translate raw data into accounting-ready metrics.
• BI & Reporting: Design and own self-service dashboards (Sigma/Tableau) used by Accounting to validate revenue, reconcile merchant payouts, and monitor variances.
• Process Automation: Use tools like Alteryx or SQL to automate journal entry preparation and bank reconciliations, reducing manual effort and strengthening SOX controls.
• Cross-Functional Partnership: Act as the "translator" between Accounting and Data Engineering, ensuring financial logic is accurately reflected in upstream data pipelines.
• Data Governance: Partner with Internal Audit to ensure completeness and accuracy of finance data assets, maintaining documentation for SOX-relevant controls.
• Strategic Ownership: Act as the primary owner of Finance analytics assets, proactively identifying ways to improve data quality and reporting efficiency.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed