## About the Role

The Cost Optimisation Analyst reports to the Cost Optimisation Manager and is responsible for analysing, monitoring, and improving cloud spend across the organisation. The role supports financial accountability, helps maximise efficiency, and contributes to a stronger cost-conscious culture in cloud operations.

This position combines analytical work, process improvement, and cross-functional collaboration with finance and IT, as well as engineering and product teams. Its core purpose is to improve cost visibility, control cloud expenditure, and support better decision-making.

A key part of the role is AI cost visibility and token economics, including building cost models at the token, model, and agent level. The work is intended to support profitability and broader business success.

## Key Responsibilities

– Track cloud usage and spend across multiple cloud platforms, and produce reports and dashboards to highlight trends and anomalies.
– Implement and enforce tagging policies to improve cost attribution and support chargeback and showback.
– Support cloud budgeting and forecasting using historical data and growth expectations, and monitor variance against plan.
– Analyse usage patterns to identify waste, underused resources, and over-provisioned assets; recommend and track optimisation actions such as rightsizing and reserved instances.
– Maintain cloud spending governance, tagging standards, and resource lifecycle controls, and support audits and compliance requirements.
– Manage cloud cost management tools, automate routine reporting and alerts, and improve cost-control processes.
– Partner with engineering, product, finance, and IT teams to build cost awareness and support optimisation initiatives.
– Establish cost models for AI usage at token, model, and agent level to improve enterprise AI cost transparency.

## Required Skills

– Experience with cloud platforms and AI/ML services, including Azure AI/ML services, Azure OpenAI, and Bedrock.
– Data engineering and analytics experience.
– Strong understanding of FinOps principles and cloud cost management.
– Process improvement mindset with the ability to drive automation and efficiency.
– Advanced Excel skills.
– Experience working in a multinational, matrix organisation with multiple legal and group entities.
– Experience handling complex data sets with strong attention to detail.
– Excellent organisational, written, and verbal communication skills.
– Strong decision-making ability.
– Ability to work in a fast-paced, dynamic environment and manage multiple tasks simultaneously.
– Ability to work independently and remain self-motivated.
– Understanding of distributed systems and API-based consumption models.

## Cloud Platforms & Technologies

### Cloud Providers & AI/ML Platforms
– Azure AI/ML services
– Azure OpenAI
– Bedrock
– Emerging AI/ML platforms
– Multiple cloud platforms

### Data & Analytics
– Data engineering
– Analytics

### FinOps Tools
– Cloud cost management tools

### Productivity & Reporting
– Advanced Excel

### Architecture & Integration
– Distributed systems
– API-based consumption model

## FinOps Responsibilities

– Monitor cloud spend and usage across multiple platforms.
– Create regular cost reports and dashboards to surface trends and anomalies.
– Apply tagging policies to improve cost allocation.
– Support chargeback and showback initiatives.
– Build budgets and forecasts from historical data and growth assumptions.
– Track actual spend against forecast and investigate variances.
– Identify waste, underutilisation, and over-provisioning.
– Recommend and track rightsizing and reserved instance opportunities.
– Maintain cost governance, tagging discipline, and resource lifecycle standards.
– Support audits and compliance requirements.
– Automate reporting, alerts, and cost-control processes.
– Build AI cost models at token, model, and agent level to improve transparency.

## Benefits

– Fixed pay, with incentives and benefits under Tesco Rewards.
– 30 days of leave, made up of 18 earned leave days and 12 casual/sick leave days, plus 10 national and festival holidays.
– Voluntary retirement options, including NPS and VPF, in addition to statutory retirement benefits.
– Medical insurance for colleagues and family members, including dependents such as parents or in-laws.
– Mental health support through self-help tools, community groups, ally networks, and face-to-face counselling.
– Financial wellbeing support, including one-to-one coaching at discounted rates and salary advances on earned wages upon request.
– SAYE three-year savings plan.
– On-site sports and recreation facilities, including a cricket pitch, football field, badminton and volleyball courts, and indoor games.
– Hybrid working model with 60% of the week spent in person and the remainder worked remotely.

## Why You Might Be Interested

This role offers the opportunity to work at the intersection of FinOps, cloud operations, and AI cost transparency. It involves close collaboration with finance, IT, engineering, and product teams, along with hands-on work using complex data sets and multiple cloud platforms. The position also includes responsibility for AI cost modelling at the token, model, and agent level, which adds a specialised dimension to the work. The rewards package and hybrid working model provide additional practical benefits.