Senior FinOps Analyst

What you'll do

• Own the cloud cost reporting cadence: track spend trends and KPIs, highlight key drivers behind significant changes, translate findings into leadership-ready reporting
• Partner with Engineering, Cloud Ops, and Product teams to turn cost insights into action and hold teams accountable to budget and efficiency goals
• Present clear, accurate findings and recommendations to technical and non-technical stakeholders including leadership
• Translate requirements into cost KPIs and financial planning inputs; drive continuous improvement in cost visibility and governance
• Investigate cost anomalies flagged by monitoring tools, partner with engineering teams to identify root cause and validate findings
• Build and maintain cost dashboards highlighting KPIs and key drivers behind significant cost changes
• Track and improve unit economics, connecting cloud and AI/ML spend to business and usage metrics
• Monitor and analyze AI/GenAI infrastructure costs as a distinct and growing category of spend, applying FinOps principles
• Identify and drive savings opportunities: rightsizing, waste elimination, Reserved Instance/Savings Plan coverage, and commitment strategy
• Support financial planning: forecasting, budget vs. actuals, and variance analysis for cloud infrastructure spend
• Maintain and improve FinOps tooling (e.g., Finout or equivalent), including data validation and quality checks

Requirements

• 5+ years of experience in FinOps analysis or cloud cost analysis
• Hands-on experience with AWS and/or GCP cost and usage data (Cost Explorer, billing exports, or third-party FinOps platforms such as Finout)
• Strong data analysis skills; proficiency in SQL and Excel
• Good understanding of cloud pricing models (on-demand, Reserved Instances, Savings Plans, committed use discounts)
• Experience with cost allocation, tagging strategy, and chargeback/showback models
• Strong written and verbal communication skills, able to translate technical cost data into business-relevant insights for engineers and executives
• High attention to detail and commitment to data accuracy
• Comfortable working cross-functionally and independently in a fast-paced environment

Tech stack