Main responsibilities:

• Develop data analytics use cases (e.g., Power BI) to visualize business performance and support logistics decision-making;
• Partner with logistics leaders, data engineers, and business stakeholders to define high-impact AI/agent use cases and translate them into scalable architectures
• Develop agent workflows across platforms (e.g., Copilot Studio, n8n, Gemini, Azure AI)
• Own deployment of AI systems (APIs, services, orchestration, monitoring)
• Aggregate data from multiple sources (e.g., SAP, Excel, external platforms, data lakes) into structured formats for analysis and reporting;
• Design user-focused reports, dashboards, and RPAs based on department requirements, ensuring high usability and experience (UX); Interpret data and apply statistical techniques to generate insights and support strategic decisions;
• Develop, implement, and document standardized data mode...