About the Position:
A leading company is hiring a Data Analyst to join the Compliance Department. This position is for professionals with a strong technical background and a keen analytical mindset, interested in going beyond report generation to delve deeper into data analysis, discover patterns, validate hypotheses, and generate strategic information for decision-making.
- We are looking for someone capable of working with complex and unstructured data, identifying opportunities for improvement, and translating business needs into evidence-based solutions. Only genuinely interested candidates should apply.
Responsibilities:
- Investigate business problems from start to finish, from defining the question to delivering well-founded conclusions.
- Conduct exploratory analysis to identify patterns, trends, and anomalies not reflected in existing reports.
- Evaluate data quality, detect inconsistencies, and analyze their root causes.
- Document processes, transformations, and decisions related to data processing.
- Apply statistical techniques to validate hypotheses and support conclusions.
- Design and maintain repeatable and reliable analysis processes.
- Translate technical findings into clear reports for non-technical stakeholders.
- Use SQL and Python to query, transform, and automate data processes.
- Collaborate with business and engineering teams to improve data quality at the source.
Requirements:
Academic Background:
- University degree in Systems Engineering, Data Engineering, Computer Science, Statistics, Mathematics, or related technical fields.
Experience:
- Minimum 2 years in positions related to data analysis.
- More than 2 years of experience working with SQL in relational databases (PostgreSQL, MySQL, or SQL Server).
- At least 1 year using Python or R for data manipulation, transformation, and analysis.
- Experience working with raw or unstructured data.
- Practical knowledge of Git for version control.
Technical Skills:
SQL:
- Ability to independently query, combine, and transform data using relational databases.
Python or R:
- Experience using libraries such as Pandas and NumPy for data analysis and manipulation.
Data Quality:
- Ability to identify, investigate, and resolve problems related to data quality and integrity.
Statistics:
- Knowledge of statistical distributions.
- Hypothesis testing.
- Correlation vs. causation.
- Interpretation of analytical results.
Data Visualization (desirable):
- Experience with tools such as Power BI.
- Charts.
- Data visualization is considered a plus, but is not the primary responsibility of the position.
Key Competencies:
- Analytical thinking and problem-solving skills.
- Attention to detail.
- Research skills.
- Effective communication with technical and non-technical audiences.
- Collaborative work with multidisciplinary teams.
- Organization and documentation of processes.
- Results-oriented and committed to continuous improvement.
What We're Looking For:
A curious, analytical, and data-driven individual, capable of questioning assumptions, validating information, and generating actionable insights that contribute to strategic business decision-making.
