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Data Analyst - Procurement

Qube Research & Technologies
CompanyQube Research & Technologies
CategoryData & Analytics
LocationLondon
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted17 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Qube Research & Technologies (QRT) 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. 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. Your future role within QRT Extract, cleanse and integrate data from cloud platforms, procurement systems, infrastructure management tools and financial systems Develop and maintain dashboards and reporting for procurement, infrastructure, finance and executive stakeholders Analyse infrastructure utilisation, asset lifecycle trends, capacity planning metrics and technology refresh programmes Combine cloud consumption, procurement, financial and operational datasets to provide business insights and decision support Analyse cloud, colocation and infrastructure costs to support investment planning and optimisation initiatives Develop forecasting models for infrastructure demand, supplier commitments and hardware procurement planning Partner with engineering and operations teams to provide insight into server utilisation, storage growth, network capacity and operational efficiency Evaluate opportunities to improve infrastructure performance, resiliency and cost effectiveness Develop KPI frameworks and operational metrics for cloud services, infrastructure assets and operational processes Build and improve automated reporting, analytics workflows and data pipelines Present findings and recommendations to technical and non technical stakeholders, including senior leadership Support strategic decision making through reporting on supplier commitments, infrastructure investment and capacity planning Your present skillset Bachelor's degree in Finance, Data Analytics, Computer Science, Engineering or a related discipline 8 or more years of experience in data analysis within procurement, infrastructure, asset management, finance or technology operations Strong understanding of AWS reporting, cloud financial management and cloud consumption analytics Experience analysing infrastructure assets, capacity planning, hardware lifecycle management and technology refresh programmes Advanced Excel skills and strong SQL expertise Experience using Python for analytics, automation and data processing Proficiency with Tableau or similar visualisation and reporting tools Strong analytical skills with the ability to interpret complex datasets and generate actionable insights Excellent communication skills with experience presenting to senior stakeholders Ability to manage multiple priorities and work independently in a fast paced environment Familiarity with ERP platforms and procurement systems such as SAP or Coupa is beneficial Experience with infrastructure management, asset management or data centre management platforms is advantageous Knowledge of cloud computing, storage architectures and infrastructure best practices is beneficial Experience building automated data pipelines, ETL processes and enterprise reporting solutions is advantageous Understanding of FinOps principles, supplier commitment management and infrastructure investment
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