Experteer Overview

Siga leyendo para comprender completamente lo que este trabajo requiere en cuanto a habilidades y experiencia. Si su perfil encaja, presente su candidatura.
In this role you will transform large, complex data into actionable insights to support data-driven decisions and business performance. You’ll work with cross-functional teams to standardize analytics, develop dashboards, and provide strategic guidance to senior leaders. The role emphasizes advanced analytics, machine learning, and data transformation to enable digital improvements and sustainable growth. This is a hybrid position within an international leader in supply chain efficiency, offering meaningful impact and collaboration at scale.

Compensaciones / Incentivos
• Analyze high-volume, multi-source data to derive meaningful insights
• Develop dashboards, visualizations, and reports for stakeholders
• Present findings in a clear, actionable way to drive business objectives
• Partner with cross-functional teams to standardize data analysis and improve data capture




• Apply advanced analytics and machine learning for forward-looking insights
• Identify digital transformation opportunities to enhance data processes
• Ensure data accuracy and quality through stakeholder collaboration
• Provide strategic guidance to senior leadership to support growth
• Define new analytical methodologies to solve business problems
• Leverage machine learning to uncover opportunities
• Lead analytical approaches with state-of-the-art technical solutions
• Define best practices for analytics
• Use advanced analytics to predict future opportunities for Asset Control
• Cover analyses across Asset Productivity programs and regions
• Help shape the strategy of the area through data-driven questions

Responsabilidades
• Strong Python skills applied to analysis
• Experience with complex coding frameworks
• Experience in identifying business opportunities xqbhyrx
• Knowledge of cloud computing environments
• Ability

📌 Specialist Data Analyst (Madrid)
🏢 Brambles
📍 Madrid