Experienced Data Analyst

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

Description

Rapyd has unified payments, payouts and fintech on one worldwide platform, and we're assembling the world's best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, LatAm and Africa, the opportunities at Rapyd are limitless.

We believe in straight talk, quick decisions, strong execution and elegant solutions. Rapyd is where hard work pays off and careers take off. Join us and let's build the future of fintech together.

Get the tools to grow globally at www.rapyd.net. Follow: Blog, Insta, LinkedIn, Twitter

As a Finance Data Analyst at Rapyd LATAM, you will design and build data-driven solutions that automate and transform our regional Finance and Billing processes. Based full-time in our Bogotá office, you will leverage your expertise in Python, data engineering, and process automation to replace manual workflows, reduce reconciliation errors, and improve the reliability of financial data across multiple legal entities. This is a high-impact role where your pipelines and dashboards will directly support the scalability of Rapyd's finance operations throughout Latin America.

Responsibilities

• Design, develop, and maintain Python applications, services, and automations to streamline Finance and Billing processes across Rapyd LATAM.
• Design, manage, and optimize relational databases and data warehouse models, ensuring data quality, integrity, and scalability.
• Write efficient SQL queries to support financial reporting, reconciliations, audits, and operational analysis.
• Develop and maintain executive dashboards, data models, and self-service analytics in Tableau or Looker to provide real-time business insights.
• Collaborate with Finance and Technology teams throughout the full software development lifecycle, from requirements gathering to deployment and production support.
• Identify opportunities to automate manual processes, improve operational efficiency, and strengthen financial controls through technology.
• Produce and maintain clear technical documentation, including data models, integration specifications, process flows, and operational runbooks.

Requirements

• Experience: 1-2 years of experience developing applications or automations with Python.
• Data Skills: Working knowledge of SQL and relational databases (PostgreSQL, MySQL, or similar) for data extraction and analysis.
• Version Control: Familiarity with Git and software development best practices, including documentation and code versioning.
• Mindset: Strong analytical and problem-solving skills, with the ability to learn quickly and work collaboratively in a fast-paced environment.
• Languages: Fluent English (written and verbal).

Nice to Have

• Experience with data visualization tools such as Looker, Tableau, or similar.
• Exposure to cloud data platforms such as BigQuery, Snowflake, or Redshift.
• Basic understanding of financial, billing, or accounting processes.

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