Support the data team in collecting, analyzing and visualizing information, generating actionable insights that contribute to the company's strategic decision-making.
Extract, transform and load (ETL) data from relational databases using SQL;
Perform exploratory data analysis with Python to identify patterns, trends and anomalies;
Develop dashboards and interactive reports using data visualization tools such as Power BI, QlikSense, Tableau or similar;
Collaborate with departments to understand data requirements and deliver tailored analytical solutions;
Monitor ETL process dashboards in Airflow;
Document business analysis for dashboard and report development;
Automate repetitive analysis processes through scripts in Python/PySpark;
Analyze query performance.

Solid knowledge of SQL for querying and data manipulation (1 year).
Experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server) (1 year).
Experience with Python (1 year).
Practical experience with at least one data visualization tool, such as Power BI, QlikSense, Tableau, or equivalent (1 year).
Technical English is desirable.

Data Analyst I

Key skills