Data Analyst

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 global 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.

You will make a tangible impact on our internal and external customers by building data-driven solutions and providing high impact analytical insights and recommendations.  You will be a trusted advisor and empowered to put Customer at the heart of decision making, and an ambassador for Data Analytics across Digital and the wider Data Analytics Community

• →Analyze complex, high-volume data from various sources using diverse tools and techniques to derive actionable insights.
• →Develop and maintain high-quality standardized outputs, including visualizations and dashboards, that translate complex data into clear, business-relevant insights.
• →Respond to ad-hoc analysis requests by developing new reports or dashboards as needed, ensuring accuracy and relevance.
• →Support the ongoing delivery of regular KPI reports, maintaining accuracy and relevance to business needs.
• →Synthesize analytical findings into meaningful insights, presenting data in an easy-to-understand format for diverse business audiences.
• →Collaborate with cross-functional teams to understand their analytical needs, define requirements, and deliver data-driven insights that support decision-making.
• →Continuously seek to improve reporting processes by staying up to date on industry trends and best practices in data analysis and insight generation.
• →Provide technical support and training on analytical tools and methodologies to empower business stakeholders in their use of data-driven insights.