Junior AI & Data Automation Analyst

PRGX Global Inc.; Medellín; On-site; COP 24,000,000 - 42,000,000; Full time

Job summary

PRGX Global Inc. in Medellín, Colombia is seeking a Junior Business Information Analyst with strong data analytics and automation mindset. You will translate business needs into data-driven solutions, collaborate with operations and clients, and contribute to streamlined data workflows and AI-enabled improvements.

The role emphasizes proactive learning, collaboration, and adoption of modern data tools to boost efficiency in source-to-pay analytics and related processes.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or a related field preferred.
• Knowledge of Trino, SQL, and Python.
• Minimum 1 year of experience in business analysis, data, or related roles.
• Strong communication and adaptability skills.
• Fluent English is a must.
• Interest in process improvement, automation and AI applications.
• Proactive attitude towards learning and optimizing existing workflows.

Responsibilities

• Collaborate with cross-functional teams to deliver scalable and efficient solutions for audit teams.
• Design and maintain data workflows and orchestration pipelines using Prefect.
• Contribute to data governance initiatives.
• Identify opportunities to automate and optimize processes using AI and intelligent automation.

Skills

Fluent English

Data analysis

Python

SQL

Communication

Adaptability

Teamwork

Process automation

AI applications

Proactive learning

Education

Bachelor’s degree in Engineering/CS/related

Tools

Trino

Prefect

DBT

Job description

PRGX Global Inc. in Medellín, Colombia is seeking a Junior Business Information Analyst with strong data analytics and automation mindset. You will translate business needs into data-driven solutions, collaborate with operations and clients, and contribute to streamlined data workflows and AI-enabled improvements.

The role emphasizes proactive learning, collaboration, and adoption of modern data tools to boost efficiency in source-to-pay analytics and related processes.