Overview
Analyse, structure and transform Logistics & Supply Chain data to generate reliable insights and performance visibility across units, supporting decision-making, digitalization and continuous improvement.
Key Responsibilities
- Analyze and transform logistics and supply chain data from multiple systems to generate insights.
- Develop, maintain and improve dashboards, reports and analytical tools.
- Facilitate the design, implementation and maintenance of data integration pipelines and ETL processes.
- Collaborate with Architecture and Data team on data structure, reporting functionalities, and technical integration.
- Support digitalization initiatives and analytical tool development.
- Monitor, validate, and maintain data quality and consistency across multiple L&SC datasets.
- Document and share analytical methodologies, lessons learned, and technical guidance.
- Contribute to the definition, harmonization, and continuous improvement of indicators, data standards, naming conventions, and classifications.
Required Experience
- Minimum of 3 years of professional experience in data analytics, business intelligence or data-related roles, preferably within supply chain management, logistics or technical departments.
- Proven experience using Business Intelligence and data visualization tools (e.g. Power BI, Tableau or similar) for reporting, analysis and decision-making support.
- Experience with ETL/ELT systems (preferably Azure Data Factory) and database solutions such as SQL Server, Azure SQL Database or Synapse will be considered an asset.
- Experience working with large datasets, reporting systems and analytical tools to generate operational insights and support business decisions.
Qualifications
- Degree in Computer Science, Data Science, Industrial Engineering, Telecommunications or another related engineering field is required.
- A Master’s degree in Business Intelligence, Big Data or a related field will be considered an asset.
