CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact.

What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to general sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.
Job Description
This role is critical to supporting data-driven decision-making by transforming complex data into actionable insights that improve business performance.
The position will analyse large volumes of data from multiple sources,



providing meaningful recommendations to stakeholders and senior leaders.
Key Responsibilities May Include:
Analyze high-volume, complex data from multiple sources, using advanced tools and techniques to generate meaningful insights.
Develop and deliver sophisticated visualizations, dashboards, and reports that translate complex data into clear, actionable insights for business stakeholders.
Present findings and recommendations, simplifying complex analyses to provide clear and actionable insights that support business objectives.
Partner with cross-functional teams at all levels to standardize data analysis processes and improve data capture practices.
Use advanced analytics and machine learning techniques to perform deep-dive analysis and generate forward-looking insights.
Identify opportunities for digital transformation and develop innovative solutions to improve data capture, visualization, a

📌 Specialist Data Analyst (Madrid)
🏢 Brambles
📍 Madrid