Finance Data Analyst

Sauce is a premier restaurant technology platform that helps businesses grow with our Commission-Free Delivery & Pickup structure and proprietary delivery optimization technology. We are serving a 105 billion dollar US local restaurant business. Headquartered in NYC and Tel-Aviv, Sauce wants restaurants to fulfill their highest potential, this means giving local establishments everything they need to connect directly with their customers. The Sauce team pools together decades of restaurant tech experience, along with seasoned tech, sales, marketing, product and operations executives who produce an industry-changing delivery system for successful local restaurants and chains.

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!