Data Analyst: Insights & Data Quality for Compliance

INGEPSY; Medellín; Presencial; COP 33.480.000 - 61.380.000; Jornada completa

Descripción de la vacante

INGEPSY is seeking a technically strong Data Analyst to join its Compliance team in Medellín. You will work with raw datasets, investigate data quality issues, apply statistical reasoning, and deliver actionable insights to support business decisions.

You will use SQL and Python (or R) to query, transform, and automate analyses, collaborate with engineering and business stakeholders, and help build reliable data workflows in a regulated environment.

Formación

• Bachelor's degree in a technical field.
• 2+ years in data analysis beyond reporting.
• 2+ years writing SQL against relational databases.
• 1+ year using Python or R for data manipulation.
• Experience with raw/unstructured data and documenting transformations.
• Git version control experience.
• Strong statistical concepts and hypothesis testing.
• Professional English communication.

Responsabilidades

• Investigate complex business problems and provide data-driven recommendations.
• Perform exploratory data analysis to uncover trends and anomalies.
• Assess data quality and document transformation decisions.
• Apply statistical methods to validate hypotheses.
• Develop and maintain repeatable data workflows and analyses.
• Present findings clearly to business stakeholders.
• Use SQL and Python (or R) to query, transform, and analyze data.
• Collaborate with business and engineering teams to improve data processes.

Conocimientos

Data analysis

SQL

Python

Git

English communication

Analytical thinking

Stakeholder collaboration

Educación

Bachelor's degree

Herramientas

PostgreSQL

MySQL

SQL Server

Power BI

Tableau

Pandas

Descripción del empleo

INGEPSY is seeking a technically strong Data Analyst to join its Compliance team in Medellín. You will work with raw datasets, investigate data quality issues, apply statistical reasoning, and deliver actionable insights to support business decisions.

You will use SQL and Python (or R) to query, transform, and automate analyses, collaborate with engineering and business stakeholders, and help build reliable data workflows in a regulated environment.