Data Analyst - Procurement

<p data-start="153" data-end="664"><strong data-start="153" data-end="191">Qube Research &amp; Technologies (QRT)</strong> is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.</p> <p data-start="666" data-end="966"></p> <p class="isSelectedEnd">You will join a procurement function that supports technology infrastructure, cloud services and strategic supplier relationships across the firm. The role focuses on transforming complex operational, financial and infrastructure data into actionable insights that support procurement decisions, capacity planning, supplier management and investment strategy. You will work closely with procurement, finance, engineering and operations stakeholders to develop reporting, forecasting and analytics capabilities across a growing technology estate.</p> <p><strong>Your future role within QRT</strong></p> <ul data-spread="false"> <li>Extract, cleanse and integrate data from cloud platforms, procurement systems, infrastructure management tools and financial systems</li> <li>Develop and maintain dashboards and reporting for procurement, infrastructure, finance and executive stakeholders</li> <li>Analyse infrastructure utilisation, asset lifecycle trends, capacity planning metrics and technology refresh programmes</li> <li>Combine cloud consumption, procurement, financial and operational datasets to provide business insights and decision support</li> <li>Analyse cloud, colocation and infrastructure costs to support investment planning and optimisation initiatives</li> <li>Develop forecasting models for infrastructure demand, supplier commitments and hardware procurement planning</li> <li>Partner with engineering and operations teams to provide insight into server utilisation, storage growth, network capacity and operational efficiency</li> <li>Evaluate opportunities to improve infrastructure performance, resiliency and cost effectiveness</li> <li>Develop KPI frameworks and operational metrics for cloud services, infrastructure assets and operational processes</li> <li>Build and improve automated reporting, analytics workflows and data pipelines</li> <li>Present findings and recommendations to technical and non technical stakeholders, including senior leadership</li> <li>Support strategic decision making through rep