## About the Role

Reporting to the Cost Optimisation Manager, the Cost Optimisation Analyst will help monitor, analyse, and optimise cloud spend across the organisation. The purpose of the role is to improve financial accountability, control cloud expenditure, and support more efficient cloud operations.

This position contributes to budgeting, forecasting, reporting, and governance across multiple cloud platforms. It also supports a stronger culture of cost awareness by turning usage and spend data into clear, actionable insights.

The role works closely with finance, IT, engineering, and product teams. A key part of the job is supporting enterprise AI cost visibility through cost models at the token, model, and agent level.

## Key Responsibilities

– Track cloud usage and spend across multiple platforms, and produce regular reports and dashboards to highlight trends and anomalies.
– Maintain and enforce tagging standards to support accurate cost attribution, chargeback, and showback.
– Support cloud budgeting and forecasting using historical data and growth assumptions, and investigate variances against actual spend.
– Analyse usage patterns to identify waste, underused resources, and overprovisioned assets.
– Recommend and monitor cost-saving actions, including rightsizing and reserved instance opportunities.
– Maintain cloud spending policies, tagging standards, and resource lifecycle controls, and support audit and compliance needs.
– Manage cloud cost tools, automate routine reporting and alerts, and improve cost-control processes.
– Work with engineering, product, finance, and IT stakeholders to improve cost awareness and support optimisation initiatives.
– Build and operationalise AI cost models at the token, model, and agent level to improve enterprise AI cost transparency.

## Required Skills

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

## Cloud Platforms & Technologies

– **AI/ML Cloud Services:** Azure AI/ML services, Azure OpenAI, Bedrock, emerging AI/ML platforms
– **Data & Analytics:** Data engineering, analytics
– **Reporting & BI:** Advanced Excel
– **Architecture & Integration:** Distributed systems, API-based consumption model

## FinOps Responsibilities

– Monitor cloud spend and usage across platforms.
– Produce reports and dashboards to support cost visibility and anomaly detection.
– Implement tagging policies for accurate cost allocation and chargeback/showback.
– Support cloud budgeting and forecasting.
– Identify and track optimisation opportunities such as rightsizing and reserved instances.
– Maintain governance around cloud spending, tagging, and resource lifecycle standards.
– Support audits and compliance requirements.
– Automate reporting, alerts, and recurring cost-control processes.
– Build cost models for AI usage at the token, model, and agent level.

## Benefits

– 30 days of leave, including 18 earned leave days and 12 casual/sick leave days, plus 10 national and festival holidays, subject to company policy.
– Statutory retirement benefits, with access to voluntary NPS and VPF programmes.
– Medical insurance for colleagues and family members, including dependents such as parents or in-laws.
– Mental health support, including self-help tools, community groups, ally networks, and face-to-face counselling.
– One-to-one financial coaching at discounted rates, plus salary advances on earned wages upon request.
– Save As You Earn (SAYE) 3-year savings plan.
– On-campus 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 chance to shape cloud cost governance across multiple platforms and contribute directly to financial accountability and efficiency. It also includes responsibility for AI cost visibility, adding a specialised analytical dimension to the work. You would collaborate with finance, IT, engineering, and product teams in a multinational environment. For someone interested in cost analysis, automation, and cross-functional influence, this is a substantive and visible position.