Cloud Data Analyst (Cloud FinOps)

The Role

We are seeking a Cloud Data Analyst (Cloud FinOps) to join the Cloud FinOps team on a 90‑ day contract ⏳ .

Contractor modality until February 2027

The analyst will be responsible for providing cost transparency, building forecasting models, and delivering actionable insights that enable internal stakeholders to optimize cloud spend across AWS, Azure, and Google Cloud ☁. This role acts as a bridge between technical engineering teams and finance, ensuring that cloud

consumption is both financially disciplined and aligned with business objectives

Key Responsibilities

• Analyze cloud spend patterns and advise DevOps teams on cost‑ quality‑ performance trade‑ offs.
• Produce forecasting, showback, chargeback, and variance‑ analysis reports on a regular cadence.
• Define and enforce tagging strategies, metadata standards, and policy compliance across cloud environments.
• Support demand‑ management processes and cloud‑ governance controls.
• Design and enhance dashboards, visualizations, and policy‑ as‑ code solutions for cost monitoring.
• Collaborate with engineering, finance, accounting, and senior technology leadership to communicate financial impact.
• Automate data ingestion from cloud billing APIs and streamline reporting pipelines.

✅ Job Requirements

• Bachelor’s degree in Computer Science, Information Technology, Finance, or a related field with strong IT knowledge.
• Minimum 3 + years of experience analyzing, forecasting, and reporting cloud spend.
• Proven FinOps or cloud‑ engineering background with hands‑ on experience in AWS, Azure, and/or GCP.
• Deep understanding of cloud billing methods, cost‑ management concepts, and accounting principles.
• Proficiency with cloud cost tools such as CloudHealth, AWS Cost Explorer, and Azure Cost Management & Billing.
• Demonstrated ability to produce clear, data‑ driven reports and visualizations for both technical and non‑ technical audiences.
• Strong written and verbal communication skills in English – Advanced (C1) level.
• Experience working with APIs for data extraction and integration.