Finance Data Analyst

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🌐 Argentina, Colombia, +1 more countries – Remote

🇦🇷 Argentina – Remote 🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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Sauce

WebsiteLinkedInAll Job Openings

51 - 200 employees

Sauce reconnects restaurants with their online customers.

📋 Description

• Maintain and QA financial data outputs from Preset and Databricks against source systems; flag discrepancies before reporting • Own the G Suite financial infrastructure, including Sheets, Drive, model structure, and version control • Build and maintain recurring reports for revenue by channel and order type, delivery margin, and order-level economics • Maintain consistency of financial and operational KPI calculations across reporting systems • Maintain and develop fully loaded COGS tracking, including courier fees, payment processing, and infrastructure allocation • Track budget versus actual performance across departments and highlight key variances • Assist with 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 • Unify Sauce's financial data stack and enable faster, more automated decision-making • Own the accuracy, consistency, and accessibility of financial data for leadership decision-making • Identify and implement AI and automation opportunities to reduce manual reporting, improve data quality, and accelerate decision-making

🎯 Requirements

• 3+ years in FP&A, Strategic Finance, Business Analytics, or Finance Analyst roles in a technology company • Strong analytical and problem-solving skills; ability to investigate discrepancies across multiple systems and identify root causes • Expertise in Google Sheets and/or Excel, including financial modeling, multi-sheet models, and dynamic formulas • SQL proficiency required • Databricks or similar data warehouse experience preferred • Hands-on experience with a BI tool such as Preset, Tableau, Looker, or equivalent • Strong understanding of SaaS, marketplace, fintech, or high-volume transaction-based business models and unit economics, including revenue, COGS, CAC, LTV, and margin • Strong written and spoken English • Detail-oriented approach to unreconciled numbers • Experience with Databricks, Preset, SaasGrid, QuickBooks, Stripe, Google Workspace, and AI/LLM technologies • Nice to have: Python and GitHub • Nice to have: experience with data pipelines, data models, or analytics infrastructure • Nice to have: prior experience in marketplace, SaaS, fintech, or high-transaction-volume technology environments

🏖️ Benefits

• 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!