Hybrid Finance Data Analyst: FP&A & Revenue Analytics

Sauce; Municipio de Rincón de los Sauces; Híbrido; ARS 1.200.000 - 2.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Strong & Competitive Compensation

Flexible Work Environment

10 Paid Personal/Vacation Days

5 Paid Sick Days

11 Local Holidays

Opportunity to build industry-changing

Descripción de la vacante

Sauce sits at the intersection of finance and data, unifying its financial data stack to enable faster, automated decision-making. You will ensure data accuracy, own budgeting and forecasting processes, and analyze performance across departments, products, and channels.

This hybrid role blends FP&A with data engineering to deliver actionable insights. Ideal candidates bring 3+ years in FP&A or business analytics in tech, strong English, SQL, and proficiency with Sheets/Excel and BI tools.

Formación

• Strong analytical and problem-solving skills with ability to investigate data discrepancies across multiple systems.
• Expert in Google Sheets and/or Excel - financial modeling, multi-sheet models, dynamic formulas.
• SQL proficiency; 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 business models and unit economics.

Responsabilidades

• Data accuracy and infrastructure: QA all financial data outputs from Preset and Databricks; flag discrepancies.
• Own the G Suite financial infrastructure - Sheets, Drive, model structure and version control.

Conocimientos

Analytical skills

SQL

Google Sheets/Excel

Databricks

BI tools

Python (nice to have)

Herramientas

Databricks

Preset

Tableau

Looker

GitHub

Descripción del empleo

Sauce sits at the intersection of finance and data, unifying its financial data stack to enable faster, automated decision-making. You will ensure data accuracy, own budgeting and forecasting processes, and analyze performance across departments, products, and channels.

This hybrid role blends FP&A with data engineering to deliver actionable insights. Ideal candidates bring 3+ years in FP&A or business analytics in tech, strong English, SQL, and proficiency with Sheets/Excel and BI tools.