Finance Data Analyst

Sauce; Metropolitana; Híbrido; COP 281.171.000 - 406.136.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Strong & Competitive Compensation Pack

Flexible Work Environment

10 Paid Personal/Vacation Days

5 Paid Sick Days

11 Local Holidays

Impactful role in delivery tech

Descripción de la vacante

Sauce is a premier restaurant technology platform. This hybrid Finance and Data role sits inside Finance, unifying financial data stack to enable faster, automated decisions. You own data accuracy, consistency and accessibility for leadership.

This role is not just accounting or pure data; it blends both disciplines to drive forecasting, KPI integrity and unit economics across revenue, COGS, CAC and LTV.

Formación

• 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.

Responsabilidades

• 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.
• 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.
• 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.

Conocimientos

SQL proficiency

Excel/Sheets fine-tuned

Analytical thinking

English proficiency

Attention to detail

Herramientas

Databricks

Preset

SaasGrid

QuickBooks

Stripe

Google Workspace

Descripción del empleo

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.

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!

Sauce is an equal opportunity workplace and an affirmative action employer. We welcome all qualified applicants regardless of race, color, ancestry, religion, sex (including pregnancy and related conditions), national origin, sexual orientation, age, marital status, disability (physical or mental), gender identity, gender expression, genetic information, veteran status, citizenship, immigration status, or any other classification, category or characteristic protected by applicable federal, state or local laws. We understand the importance of creating a more diverse and inclusive workplace and celebrate our employees for their differences.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.