> Markdown version of [/jobs/ext/3733933-cloud-finops-analyst](https://www.wearedevelopers.com/jobs/ext/3733933-cloud-finops-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud FinOps Analyst - **Company:** ProsperOps, Inc. - **Location:** Mount Pleasant Township, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Microsoft Azure, Big Data, Cloud Computing, Cloud Optimization - **Published:** October 14, 2026 - **Apply:** https://www.juju.com/job/2_163054774 ## About the Role We are looking for a Senior Cloud FinOps Analyst who combines deep expertise in cloud billing, commitment management, and cloud economics with the ability to engage directly with customers as a trusted advisor., * 3+ years of experience in Cloud FinOps, Cloud Economics, Cloud Billing, Cloud Operations, or Cloud Cost Management * Hands-on experience managing cloud discount instruments, including: Reserved Instances, Savings Plans, Cloud Committed Use Discounts * Strong xrbllit understanding of cloud billing, usage data, commitment management, and financial optimization strategies * Experience with FinOps tools and cloud cost management platforms * Excel and/or Google Sheets skills with the ability to analyze large datasets * Experience directly supporting enterprise cloud environments and cloud spend optimization initiatives * Experience working in a customer-facing consulting, advisory, solutions, FinOps, cloud operations, or cloud economics role * Strong analytical, problem-solving, and communication skills ## Description This role is ideal for someone who has been responsible for managing cloud commitments and discount strategies within a large enterprise or cloud provider environment. You understand the complexities of Savings Plans, Reserved Instances, Azure Reservations, commitment-based discount programs, and cloud billing operations, and can confidently advise customers on optimization strategies. You'll also work closely with our product, engineering, and operations teams to help scale and evolve increasingly sophisticated cloud optimization capabilities.