2 of 2 Apprenticeship Data Modelling Jobs in the UK

document business requirements, ensuring a clear understanding of project needs and objectives Reporting & presentations: Prepare reports, summaries, and presentations for various stakeholders using tools like Excel, PowerPoint, and other data visualization tools Testing & validation: Participate in user acceptance testing (UAT) and validate business requirements against delivered solutions. Project support: Assist in project planning and coordination tasks, helping to track … Apprenticeship? Our Business Analyst Level 4 apprenticeship develops learners to investigate information systems solutions and gain the know-how to improve operational efficiency for your organisation The principles of data analytics are being applied across just about every industry. Using past-event data, business analysts are making important insight-based business decisions and driving customer value across every … including online learning, practical exercises, video content, coaching and workshops Tools and technologies learned: Apprentices will learn to use Unified Modeling Language (UML), Business Process Model and Notation (BPMN), Data Modelling, User Acceptance Testing (UAT), SWOT & PESTLE. Career Development opportunity to potentially be offered a permanent role within the company on successful completion of the Apprenticeship after you More ❯

accuracy, compliance, and cost efficiency. Role Invoice Verification: Analyse and verify logistics invoices against actual shipments and rate cards to ensure accuracy in billing, identifying discrepancies or potential errors Data Analysis & Reporting: Use data science tools and techniques to process and analyse large datasets related to shipments, invoices, and rate cards. Provide insights and recommendations to optimise processes … and reduce costs Develop Analytical Models: Work on creating and refining data models that can identify trends, forecast demand, and enhance decision-making processes across the supply chain Collaboration with Stakeholders: Collaborate with logistics teams, finance, and suppliers to resolve discrepancies, improve workflows, and ensure alignment with contract terms and pricing agreements Continuous Improvement: Contribute to the development of … automated processes and dashboards to streamline reporting and data accuracy, improving operational efficiency and reducing manual errors Documentation & Compliance: Maintain accurate documentation of analyses, reports, and findings to ensure compliance with industry standards and internal procedures Support Data-Driven Decisions: Assist in generating actionable insights from data to support key supply chain decisions, enhancing overall operational effectiveness More ❯