Associate Data Analyst

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

The Data Science Solutions team is launching a new global hub in Colombia and seeks talented data analysts to build a high-impact function from the ground up.

As a Data Analyst on the Model Automation & Production team, you will support the creation and maintenance of batch data processes, ETL pipelines, and dashboards that enable model operations, monitoring, and reporting. You will work closely with data scientists, data engineers, and business stakeholders to ensure data is reliable, well-structured, and ready to support modeling and analytics use cases.

This role is ideal for someone who enjoys working with data, solving operational problems, and learning how business data is organized across systems and workflows. You will gain exposure to data pipelines, cloud platforms, workflow orchestration, and the insurance domain while building a strong foundation in data analytics and production support.

Key Responsibilities:

• Write clean and efficient Python and SQL code for data wrangling, transformation, and validation.
• Support the development and maintenance of batch data pipelines used for model operations, monitoring, reporting, and data quality checks.
• Work with structured data to perform extraction, transformation, and analysis.
• Assist in building and maintaining ETL workflows using orchestration tools such as Airflow.
• Help create and manage dashboards for model health monitoring and operational visibility, including Power BI or similar tools.
• Contribute to documentation, data mapping, and process diagrams to improve operational clarity.
• Participate in issue resolution, root cause analysis, and continuous improvement of data workflows.
• Build domain knowledge in insurance and financial services to better understand the structure and meaning of data.

Skills and Experience:

Fluency in English and Spanish (Must)

• Bachelor's degree in Engineering, Data Science, Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
• 0-4+ years of relevant experience, internships, or equivalent academic/project experience.
• Strong proficiency in Python and SQL.
• Strong data intuition, including the ability to clean, reconcile, and combine data from multiple sources while understanding granularity and structure
• Good communication skills and ability to work effectively with technical and non-technical stakeholders. Capacity to work collaboratively in cross-functional and global environments.
• Strong problem-solving mindset and curiosity to understand how business data is structured and used.
• Fast learner with the ability to quickly adapt to new tools, datasets, and business processes

Preferred / Nice to Have

• Ability to draw process diagrams or document workflows clearly.
• Experience or exposure to Spark
• Exposure to Airflow or other workflow orchestration tools.
• Knowledge of ETL, data pipeline development, and batch processing.
• Understanding of data modeling, warehousing concepts, and relational databases.
• Exposure to NoSQL databases such as MongoDB.
• Familiarity with Git and CI/CD practices.
• Experience with Power BI or other dashboarding/reporting tools.
• Interest in or exposure to insurance or financial services.
• Comfort working with data engineering teams and production data environments.

What We're Looking For

We are looking for someone who is:

• Curious and detail-oriented
• Comfortable exploring data and asking the right questions
• Strong in foundational analysis and data troubleshooting
• Motivated to learn how business data is organized
• Able to communicate clearly and work in a team-oriented environment
• Interested in building a long-term career in data, analytics, and operational support