Finance Data Analyst
Summary
Hybrid finance/data role building automated financial reporting and KPIs for a restaurant-tech platform using Databricks, Preset, and Google Sheets.
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.What You'll Do:
Data accuracy and infrastructure
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Maintain and QA all financial data outputs from Preset and Databricks against source systems; flag discrepancies before they reach reporting
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Own the G Suite financial infrastructure - Sheets, Drive, model structure and version control
Core metric tracking
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Build and maintain recurring reports for revenue by channel and order type, delivery margin and order-level economics
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Maintain and ensure consistency of financial and operational KPI calculations across all reporting systems
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Maintain and develop fully loaded COGS tracking: courier fees, payment processing and infrastructure allocation
FP&A & Financial Analysis
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Track budget vs. actual performance across departments and highlight key variances
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Assist in monthly forecasting, scenario analysis and business performance reviews
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Prepare reconciled data and variance analysis for management reporting
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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)
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3+ years in FP&A, Strategic Finance,Business Analytics or Finance Analyst in a technology company
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Strong analytical and problem-solving skills with the ability to investigate data discrepancies across multiple systems and identify root causes
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Expert in Google Sheets and/or Excel - financial modeling, multi-sheet models, dynamic formulas
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SQL proficiency - required; Databricks or similar data warehouse experience preferred
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Hands-on experience with a BI tool (Preset, Tableau, Looker, or equivalent)
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Strong understanding of SaaS, marketplace, fintech, or high volume transaction-based business models and unit economics: revenue, COGS, CAC, LTV, margin
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Strong English - written and spoken
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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!