Data Analyst Contract (Outside IR35) Contract Length: 12 Months Location: Remote (occasional UK travel) IR35 Status: Outside IR35 Eligibility: UK Residents only (data sensitivity) Overview 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. Key Responsibilities 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 Required Experience 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 Desirable / 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