Finance Data Analyst - Python, SQL & Dashboards

Rapyd; Bogotá; Presencial; COP 40.000.000 - 60.000.000; Jornada completa

Descripción de la vacante

Rapyd LATAM is seeking a Finance Data Analyst to design and build data-driven solutions that automate regional Finance and Billing processes. Based in our Bogotá office, you will leverage Python, data engineering, and automation to replace manual workflows, reduce reconciliation errors, and improve financial data reliability across multiple legal entities.

You will develop pipelines and executive dashboards to support scalable finance operations across Latin America, collaborating with Finance

Formación

• 1–2 years of experience developing applications or automations with Python.
• Working knowledge of SQL and relational databases (PostgreSQL, MySQL) for data extraction and analysis.
• Familiarity with Git and software development best practices, including documentation and code versioning.
• Fluent English (written and verbal).

Responsabilidades

• Design, develop, and maintain Python applications, services, and automations to streamline Finance and Billing processes.
• Design, manage, and optimize relational databases and data warehouse models for data quality and scalability.
• Write efficient SQL queries to support financial reporting, reconciliations, audits, and analyses.
• Develop and maintain dashboards in Tableau or Looker to provide real-time business insights.
• Collaborate with Finance and Technology teams across the full SDLC from requirements to deployment.
• Identify opportunities to automate manual processes and strengthen financial controls through tech.
• Produce and maintain clear technical documentation, data models, integration specs, and runbooks.

Conocimientos

Python

SQL

Git

English

Descripción del empleo

Rapyd LATAM is seeking a Finance Data Analyst to design and build data-driven solutions that automate regional Finance and Billing processes. Based in our Bogotá office, you will leverage Python, data engineering, and automation to replace manual workflows, reduce reconciliation errors, and improve financial data reliability across multiple legal entities.

You will develop pipelines and executive dashboards to support scalable finance operations across Latin America, collaborating with Finance