Responsible for collecting, compiling and analyzing large volumes of unstructured data, interpreting the results and then assisting in the creation of strategies and decision-making to support business growth.
Mine data from primary and secondary sources;
Clean and organize data to remove irrelevant information;
Analyze and interpret results using statistical tools and techniques;
Identify trends and patterns in datasets;
Identify new opportunities for process improvement;
Design, build and maintain databases and data systems;
Troubleshoot code issues and data-related problems;
Support and monitor the client’s data platform.

Bachelor’s degree in Information Technology, or completion of any undergraduate degree accompanied by a postgraduate certificate (specialization, master’s or doctorate) in Information Technology of at least 360 hours.
Preferred experience: 2 years in extraction, modeling and organization of large volumes of data for analytical consumption.
Knowledge of advanced SQL, Python (Pandas), Shell Script or equivalent;
ETL experience with Pentaho, Talend, SSIS, Apache NiFi or similar tools;
Databases: Oracle, SQL Server, PostgreSQL;
Cloud storage (Azure Data Lake, AWS S3) and API connections;
Concepts of Data Warehouse, dimensional and normalized data modeling;
Version control (Git), job orchestration/control (Airflow, cron).

Data Analyst – Data Engineering

Key skills