Infrastructure & Cloud Analytics Lead

Aplaro Ltd; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Qube Research & Technologies (QRT) seeks a senior data analytics professional to transform procurement, infrastructure and cloud data into actionable insights. You will extract data from cloud platforms, develop dashboards for procurement, finance and operations, and support capacity planning and supplier management.

With 8+ years in data analytics within technology or finance, you will leverage AWS reporting, SQL, Python and Tableau to deliver forecasting models, KPI frameworks and automated

Qualifications

• 8+ 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 analysis is beneficial.

Responsibilities

• 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.

Skills

Data analysis

AWS reporting

Capacity planning

Excel

SQL

Python

Tableau

Communication

Analytical thinking

Multitasking

ERP knowledge

Infrastructure management

Cloud computing

ETL

FinOps

Education

Bachelor's degree in Finance, Data Analytics, Computer Science, Engineering or a related discipline

Tools

Tableau

SQL

Python

Job description

Qube Research & Technologies (QRT) seeks a senior data analytics professional to transform procurement, infrastructure and cloud data into actionable insights. You will extract data from cloud platforms, develop dashboards for procurement, finance and operations, and support capacity planning and supplier management.

With 8+ years in data analytics within technology or finance, you will leverage AWS reporting, SQL, Python and Tableau to deliver forecasting models, KPI frameworks and automated