Data Analyst - Model Ops & ETL Pipelines (Python/SQL)

Liberty Specialty Markets; Colombia; A distancia; COP 42.000.000 - 85.000.000; Jornada completa

Descripción de la vacante

Liberty Specialty Markets is launching a Data Analyst role in its new Colombia hub. You will support batch data pipelines, ETL workflows, and dashboards enabling model operations, monitoring, and reporting.

You will collaborate with data scientists, data engineers, and business stakeholders to ensure reliable, well-structured data for analytics and production use cases. The ideal candidate has 0-4+ years of experience, strong Python/SQL skills, and a willingness to learn the insurance domain

Formación

• Bachelor's degree in Engineering, Data Science, Mathematics, Statistics, Computer Science, Economics, or related quantitative field.
• 0-4+ years of relevant experience or equivalent academic/project experience.
• Strong proficiency in Python and SQL.
• Strong data intuition for cleaning, reconciling, and combining data from multiple sources.

Responsabilidades

• Write clean Python and SQL code for data wrangling, transformation, and validation.
• Support batch data pipelines for model operations, monitoring, reporting, and data quality checks.
• Build and maintain ETL workflows using orchestration tools such as Airflow.
• Create and manage dashboards for model health monitoring (Power BI or similar).
• Contribute to data mapping, documentation, and process diagrams.

Conocimientos

Python

SQL

Data wrangling

Data analysis

Stakeholder comms

Educación

Bachelor's degree in quantitative field

Herramientas

Airflow

Power BI

Spark

Git

CI/CD

MongoDB

Descripción del empleo

Liberty Specialty Markets is launching a Data Analyst role in its new Colombia hub. You will support batch data pipelines, ETL workflows, and dashboards enabling model operations, monitoring, and reporting.

You will collaborate with data scientists, data engineers, and business stakeholders to ensure reliable, well-structured data for analytics and production use cases. The ideal candidate has 0-4+ years of experience, strong Python/SQL skills, and a willingness to learn the insurance domain