Softgic
Data Analyst 1785
A Data Analyst who solves complex business problems by analyzing raw datasets, identifying data quality issues, and delivering statistical insights to inform compliance decisions. Core tools: SQL, Python/R, and relational databases.
- Compensation
- Not disclosed
- Location
- Medellin, Colombia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Systems Engineering, Data Engineering, Statistics, Mathematics, or related field
- 2+ years of experience in data analysis (beyond reporting)
- 2+ years of SQL experience (PostgreSQL, MySQL, SQL Server)
- 1+ year of Python (or R) for data manipulation/analysis
- Experience with raw/unstructured datasets and transformation documentation
- Git version control experience
- Familiarity with statistical concepts (hypothesis testing, distributions, causation)
- Strong analytical thinking and cross-functional collaboration
- Professional English communication skills
Nice to have
- Experience with Power BI/Tableau for visualization
- Automated data workflows and repeatable analytical processes
- Background in compliance, risk, or regulated environments
Full description
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.
Requisitos
- 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.