This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
A leading logistics organisation is embarking on a major data and analytics transformation, moving away from traditional, reactive BI reporting towards a modern, AI-driven and insight-led analytics capability. This role requires an experienced Data Analyst who has previously helped transform data environments and can enable forward-looking insight, forecasting, and proactive decision-making.
Job Responsibility:
Support the shift from traditional BI to a modern, AI-ready analytics platform
Design and deliver Power BI dashboards focused on trends, forecasting, and operational insight rather than historic reporting
Work with stakeholders across operations, finance, and technology to understand data challenges and define analytics solutions
Transform, model, and optimise data to improve quality, consistency, and usability
Enable predictive and proactive analytics to support demand planning, performance forecasting, and decision-making
Collaborate with data engineers and AI specialists to ensure analytics outputs are scalable and future-proof
Contribute to best practices around data governance and data quality
Requirements:
Proven experience as a Data Analyst on transformation-led programmes
Strong experience moving organisations away from reactive BI towards proactive, insight-driven analytics
Advanced Power BI experience (DAX, data modelling, performance optimisation)
Strong SQL skills with experience handling large, complex datasets
Experience supporting or enabling forecasting, predictive analytics, or AI use cases
Excellent stakeholder engagement and communication skills
Comfortable working autonomously in a contract environment
Nice to have:
Experience with cloud data platforms (Azure, Snowflake, Databricks, AWS, etc.)
Exposure to Python or R for data analysis or advanced analytics
Experience working in logistics, supply chain, or similar operational environments
Understanding of data governance and data quality frameworks