Supports the transformation of commercial operations through the implementation of centralized and scalable data systems, enabling better data governance, automation and advanced analytics across the organization
Job Summary
Supports the transformation of commercial operations through the implementation of centralized and scalable data systems, enabling better data governance, automation and advanced analytics across the organization.
Design, build and implement scalable data solutions and data systems that enable the organization to meet current and future data needs.
Act as a business partner, collaborating with LATAM, SOCOPAC and local teams including Data Management, IT, BI, Sales, Marketing and Digital, ensuring alignment between business needs and data solutions.
Matching Summary
Supports the transformation of commercial operations through the implementation of centralized and scalable data systems, enabling better data governance, automation and advanced analytics across the organization.
Skills & Requirements
Must-have
SQL
Python for data processing
ETL/ELT processes
Data pipelines
Power BI
Cloud platforms (AWS)
Nice-to-have
dbt, Airflow, GitHub
Informatica or similar
AI tools (Copilot)
Agile mindset
Continuous learning
Key Requirements
4-5 years of experience
Degree in Systems Engineering, Computer Science, Data Engineering, Industrial Engineering with a data focus, or related fields