Cost Optimisation Analyst

FinOps Weekly; India; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Medical insurance for colleagues and/f

Mental health support for colleagues

Salary advances on earned wages

SAYE 3-year savings plan

Hybrid working model

Job summary

FinOps Weekly in Bengaluru invites a Cost Optimisation Analyst to drive cloud spend governance, tagging, budgeting, and AI-cost models across platforms. You’ll partner with finance, IT, engineering, and product teams to embed cost-conscious practices and deliver actionable insights.

Responsibilities include tracking usage, building dashboards, identifying waste, and automating reports. The role blends FinOps with AI cost transparency in a fast-moving, matrix organisation.

Qualifications

• FinOps and cloud cost management expertise required.
• Experience with Azure AI/ML services and Azure OpenAI.
• Strong data engineering and analytics capabilities.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Track cloud spend across multiple platforms and produce reports and dashboards.
• Enforce tagging policies for cost allocation and support chargeback/showback.
• Build budgets and forecasts, then track actual spend against forecast.
• Identify waste, underutilisation, and over-provisioning, and support rightsizing and reserved instance initiatives.
• Maintain cost governance, tagging standards, and resource lifecycle controls.
• Automate routine reporting and alerts to improve ongoing cost control.
• Partner with engineering, product, finance, and IT to drive cost awareness and optimisation.
• Create cost models for AI usage at token, model, and agent level to improve enterprise AI cost visibility.

Skills

FinOps principles

Azure AI/ML services

Azure OpenAI

Bedrock

Data engineering

Analytics

Advanced Excel

Multinational / matrix organisation

Attention to detail

Analytical skills

Process improvement

Communication skills

Fast-paced environment

Independent / self-motivated

Distributed systems understanding

Tools

Azure OpenAI Platform

Bedrock

Job description

# Cost Optimisation AnalystBengaluruFinOpsNot Specified04/08/2026Full-timeHybridFavoriteAccess Job## Job Description## About the RoleThe Cost Optimisation Analyst will report to the Cost Optimisation Manager and support the analysis, monitoring, and optimisation of cloud spend across the organisation. The role exists to strengthen financial accountability, improve efficiency, and support data-driven decisions that help control cloud expenditure.ManagementYou will work closely with finance, IT, engineering, and product teams to improve cost visibility, maintain governance, and embed cost-conscious practices across cloud operations. The role also supports profitability by identifying savings opportunities and tracking optimisation actions.A further part of the remit is AI cost transparency, including cost models at token, model, and agent level, to help the business understand and manage enterprise AI consumption.## Key Responsibilities– Track cloud usage and spend across multiple cloud platforms, and produce reports and dashboards that highlight trends and anomalies. – Implement and enforce tagging policies to improve cost allocation and support chargeback and showback. – Support cloud budgeting and forecasting using historical data and growth assumptions, and monitor actual spend against forecast. – Analyse usage patterns to identify waste, underutilised 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 recurring reporting and alerts, and improve cost-control processes. – Work with engineering, product, and finance teams to build cost awareness and support cross-functional optimisation initiatives. – Establish and operationalise cost models for AI consumption at 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 – Data engineering and analytics experience – Advanced Excel skills – Experience working in a multinational, matrix organisation with multiple legal and Group entities – Experience working with complex datasets and strong attention to detail – Strong analytical skills – Process improvement mindset with the ability to drive automation and efficiency – 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 self-motivate – Understanding of distributed systems and API-based consumption models## Cloud Platforms & Technologies### Cloud Providers / AI & ML Platforms – Multiple cloud platforms – Azure AI/ML services – Azure OpenAI – Bedrock – Emerging AI/ML platforms### Data & Analytics – Data engineering – Analytics – Complex data sets### Reporting & BI – Excel – Reports – Dashboards### FinOps Tools – Cloud cost management tools### Architecture / Integration – Distributed systems – API-based consumption model## FinOps Responsibilities– Monitor cloud spend across multiple platforms and identify cost trends and anomalies. – Build cost allocation through tagging and support chargeback and showback. – Help create cloud budgets and forecasts, then track actual spend against forecast. – Identify waste, underutilisation, and over-provisioning, and support rightsizing and reserved instance initiatives. – Maintain cost governance, tagging standards, and resource lifecycle controls. – Automate routine reporting and alerts to improve ongoing cost control. – Partner with engineering, product, finance, and IT to drive cost awareness and optimisation. – Create cost models for AI usage at token, model, and agent level to improve enterprise AI cost visibility.## Benefits– 30 days of leave, comprising 18 days of earned leave and 12 days of casual/sick leave, plus 10 national and festival holidays – Voluntary retirement options in addition to statutory retirement benefits, including NPS and VPF – Medical insurance for colleagues and their family, including dependents, parents, or in-laws – Mental health support for colleagues and dependents through self-help tools, community groups, ally networks, and face-to-face counselling – One-to-one financial coaching at discounted rates and salary advances on earned wages upon request – Save As You Earn (SAYE) three-year savings plan – Green campus with sports facilities and indoor games – Hybrid working model with 60% of the week in person and the rest remote## Why You Might Be InterestedThis role offers hands-on ownership of cloud cost monitoring, forecasting, optimisation, and governance across multiple platforms. It also includes emerging work in AI cost visibility and token economics, which adds a specialised analytical dimension. The position involves close collaboration with finance, engineering, product, IT, and other stakeholders in a multinational environment. Flexible hybrid working and a broad benefits package add further appeal.