Data Analyst 1785

Softgic S.; Colombia; Presencial; COP 84.000.000 - 132.000.000; Jornada completa

Descripción de la vacante

Softgic S. in Medellín, Colombia is seeking a Data Analyst to join our Compliance team.

This role focuses on solving complex business problems through data analysis, working with raw datasets, and delivering actionable insights for decision making. The ideal candidate has a 4-year degree in a technical field, 2+ years analyzing data beyond reporting, strong SQL (PostgreSQL/MySQL/SQL Server) and Python (or R), and experience with data quality, EDA, and cross-functional collaboration.

Formación

• Bachelor's degree in a technical field related to data.
• 2+ years of hands-on data analysis beyond reporting.
• 2+ years writing SQL queries against relational databases.
• 1+ year using Python (preferred) or R for data manipulation.
• Experience with raw/unstructured data and documenting logic.
• Experience using Git for version control.
• Strong statistical concepts and hypothesis testing.
• Excellent English communication and collaboration skills.

Responsabilidades

• Investigate complex business problems and provide data-driven recommendations.
• Conduct exploratory data analysis to uncover trends and anomalies.
• Assess data quality and document transformation logic and assumptions.
• Apply statistical methods to validate hypotheses and conclusions.
• Develop reliable data workflows and repeatable analyses.
• Present findings clearly to business stakeholders.
• Query, transform, automate, and analyze data using SQL and Python (or R).
• Collaborate with business and engineering teams to improve data collection.

Conocimientos

SQL

Python

Git

English communication

Analytical thinking

Data storytelling

Problem solving

Educación

Bachelor's degree in CS / Systems / Data / Statistics / Math

Herramientas

PostgreSQL

MySQL

SQL Server

Power BI

Tableau

Descripción del empleo

Medellin, Colombia | Posted on 07/30/2026

We are looking for a technically strong Data Analyst to join our Compliance team. This role is ideal for someone who enjoys solving complex business problems through data analysis rather than simply creating reports. You will work with raw and complex datasets, investigate data quality issues, apply statistical reasoning, and deliver reliable, actionable insights that support business decisions.

Key Responsibilities

• Investigate complex and ambiguous business problems from definition through solution, providing data-driven recommendations.
  
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies.
  
• Assess data quality, identify inconsistencies at the source, determine root causes, and document transformation decisions.
  
• Apply statistical methods to validate hypotheses and ensure conclusions are supported by data.
  
• Develop and maintain repeatable, reliable data workflows and analysis processes.
  
• Present technical findings in a clear and concise manner for business stakeholders.
  
• Use SQL and Python (or R) to query, transform, automate, and analyze data.
  
• Partner with business and engineering teams to improve data quality and data collection processes.
  

Requirements

• Bachelor's degree in Computer Science, Systems Engineering, Data Engineering, Statistics, Mathematics, or a related technical field.
  
• 2+ years of experience in a data analysis role with hands-on analytical work beyond reporting.
  
• 2+ years of experience writing SQL queries against relational databases such as PostgreSQL, MySQL, or SQL Server.
  
• 1+ year of experience using Python (preferred) or R for data manipulation, transformation, and analysis.
  
• Experience working with raw or unstructured datasets, including documenting transformation logic and analytical assumptions.
  
• Experience using Git for version control.
  
• Familiarity with statistical concepts, including hypothesis testing, distributions, and correlation vs. causation.
  
• Strong analytical thinking and problem-solving skills.
  
• Ability to collaborate effectively with technical and non-technical stakeholders.
  
• Professional English communication skills.
  

Preferred Qualifications

• Experience with Power BI or Tableau for data visualization.
  
• Experience building repeatable analytical workflows and automating data processes.
  
• Background working with compliance, risk, audit, or regulated business environments.
  

Required Technologies & Tools

• SQL
  
• Python (Pandas, NumPy) or R
  
• PostgreSQL, MySQL, or SQL Server
  
• Git
  
• Power BI or Tableau (nice to have)
  

Core Skills

• Advanced analytical thinking
  
• Exploratory Data Analysis (EDA)
  
• Data quality analysis and root cause investigation
  
• Statistical reasoning and hypothesis testing
  
• Data transformation and automation
  
• Cross-functional collaboration
  
• Clear communication of technical findings