Finance Data Analyst

Sauce helps restaurants take control of online ordering and delivery without marketplace dependency. Series B, 4,400+ restaurant accounts, high transaction volume across New York, Florida and expanding US metros. We use AI and automation to reduce manual reporting, improve data quality and accelerate decision-making. This role will play a key part in identifying and implementing those opportunities.

About Role

A hybrid Finance and Data role sitting inside the Finance function. You will be the dedicated bridge between Finance and Data - unifying Sauce's financial data stack and enabling faster, more automated decision-making. You own the accuracy, consistency and accessibility of financial data so leadership can make decisions with confidence.

This is not an accounting role. This is not a pure data role. It requires both.

What You'll Do:

Data accuracy and infrastructure

• Maintain and QA all financial data outputs from Preset and Databricks against source systems; flag discrepancies before they reach reporting

• Own the G Suite financial infrastructure - Sheets, Drive, model structure and version control

Core metric tracking

• Build and maintain recurring reports for revenue by channel and order type, delivery margin and order-level economics

• Maintain and ensure consistency of financial and operational KPI calculations across all reporting systems

• Maintain and develop fully loaded COGS tracking: courier fees, payment processing and infrastructure allocation

FP&A & Financial Analysis

• Track budget vs. actual performance across departments and highlight key variances

• Assist in monthly forecasting, scenario analysis and business performance reviews

• Prepare reconciled data and variance analysis for management reporting

• Maintain actuals data to support rolling forecast updates and management reporting

What You Bring:

• Our stack: Databricks, Preset, SaasGrid, QuickBooks, Stripe, Google Workspace, AI (LLM)

• 3+ years in FP&A, Strategic Finance,Business Analytics or Finance Analyst in a technology company

• Strong analytical and problem-solving skills with the ability to investigate data discrepancies across multiple systems and identify root causes

• Expert in Google Sheets and/or Excel - financial modeling, multi-sheet models, dynamic formulas

• SQL proficiency - required; Databricks or similar data warehouse experience preferred

• Hands-on experience with a BI tool (Preset, Tableau, Looker, or equivalent)

• Strong understanding of SaaS, marketplace, fintech, or high volume transaction-based business models and unit economics: revenue, COGS, CAC, LTV, margin

• Strong English - written and spoken

• Detail-oriented to the point of being uncomfortable with unreconciled numbers

• Nice to have:
• Python, GitHub
• Experience working with data pipelines, data models, or analytics infrastructure
• Prior experience in a marketplace, SaaS, fintech, or high-transaction-volume tech environment

What We Offer:

• Strong & Competitive Compensation Package
• Flexible Work Environment
• 10 Paid Personal/Vacation Days
• 5 Paid Sick Days
• 11 Local Holidays
• The Opportunity to Build Something that Changes the Delivery Tech Industry for the Better!