Cloud FinOps Analyst About the Role The Cloud FinOps Analyst will manage, analyze, and optimize cloud and SaaS spending across AWS, Azure, GCP, Snowflake, and other cloud platforms.
This role connects Finance, Cloud Engineering, Platform Operations, Product, Security, and business leadership.
Its focus is to improve cost transparency, forecasting, chargeback/showback processes, optimization, KPI reporting, and governance in line with the FinOps Framework and organizational financial objectives.
Key Responsibilities Analyze cloud usage and spending across accounts, subscriptions, and services.
Identify cost-saving opportunities, including idle resources and overprovisioned services.
Recommend and track Savings Plans, Reserved Instances, and other cloud commitments.
Partner with technology teams on rightsizing and other cloud cost-optimization practices.
Create team-, project-, and product-level cloud budgets.
Forecast monthly and quarterly cloud spending based on usage trends.
Compare actual spending with forecasts and explain variances.
Support annual and long-range financial planning for cloud investments.
Allocate cloud costs to teams, cost centers, and projects.
Process invoices and support chargeback/showback models.
Prepare and submit month-end journal entries.
Reconcile budgets, forecasts, and vigente spending.
Develop and maintain cost governance practices covering budgeting, forecasting, analysis, and modeling.
Produce regular and ad hoc financial analyses, insights, and recommendations.
Conduct historical comparative analysis.
Create dashboards, reports, graphs, and other visualizations for Product, Finance, and Technology leadership.
Improve daily processes and working files through SQL and Power Query integration.
Required Skills Strong interest in AI tools and applications, including Microsoft Copilot,



Cowork, Copilot Studio, and AI-assisted forecasting.
Experience with cloud platforms or related tools such as AWS, Azure, GCP, Snowflake, and Cloudability.
Experience implementing predictive analytics for cloud-spend forecasting and budget planning.
Ability to develop AI-driven models that analyze cloud-spending patterns and identify optimization opportunities.
Cloud Platforms & Technologies Cloud Providers and Data Platforms AWS Microsoft Azure Google Cloud Platform (GCP) Snowflake FinOps and Cost Management Cloudability FinOps Framework Savings Plans Reserved Instances AI and Automation Microsoft Copilot Cowork Copilot Studio AI-assisted forecasting Data, Reporting, and Analytics SQL Power Query Power BI (PBI) Predictive analytics AI-driven financial models FinOps Responsibilities Cloud spend analysis and optimization across accounts, subscriptions, and services.
Identification of idle and overprovisioned resources.
Tracking Savings Plans, Reserved Instances, and cloud commitments.
Rightsizing and cost-optimization collaboration with technology teams.
Cloud budgeting, forecasting, variance analysis, and financial planning.
Cost allocation and chargeback/showback.
Invoice processing, month-end journal entries, and reconciliation.
Cost governance, reporting, KPI analysis, and financial modeling.
Historical spend comparison and optimization recommendations.
Contact malwina,****** Useful Links Company Website: Why You Might Be Interested This role offers the opportunity to work across Finance, Engineering, Product, Security, and business leadership.
It combines cloud cost management with predictive analytics, AI-driven modeling, reporting, and financial planning.
The position also provides scope to improve cost transparency, governance, and optimization across multiple cloud platforms.
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📌 Cloud Finops Analyst (Medellín)
🏢 FinOps Weekly
📍 Medellín