Experienced Data Analyst

B Capital; Bogotá; Presencial; COP 60.000.000 - 90.000.000; Jornada completa

Descripción de la vacante

Rapyd LATAM is seeking a Finance Data Analyst in Bogotá to design and build data-driven solutions that automate Finance and Billing processes. You will use Python, SQL, and data engineering to replace manual workflows and improve financial data reliability across multiple entities.

You will develop dashboards in Tableau or Looker, collaborate with Finance and Technology teams, and document data models, processes, and runbooks to scale Rapyd's regional finance operations.

Formación

• 1–2 years of Python development/automation experience.
• Working knowledge of SQL and relational databases.
• Familiarity with Git and code documentation.
• Strong analytical and collaborative mindset.
• Fluent in English.

Responsabilidades

• Design, develop, and maintain Python applications and automations for Finance and Billing.
• Manage databases and data warehouse models for quality and scalability.
• Write SQL queries to support reporting, reconciliations, audits, and analysis.
• Develop dashboards in Tableau or Looker for real-time insights.
• Collaborate with Finance and Tech teams across the SDLC.
• Identify opportunities to automate processes and strengthen controls.
• Produce technical documentation including data models and runbooks.

Conocimientos

Python programming

SQL

Git/version control

Analytical thinking

English language

Herramientas

Looker

Tableau

BigQuery

Snowflake

Redshift

Descripción del empleo

Description

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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