Sr Analyst I Cloud Engineering

Overview

The FinOps Analyst supports FinOps programs by analysing cloud cost and usage data, building reports and dashboards, identifying optimization opportunities, and assisting in tool operations. The role works closely with FinOps Advisors, engineering teams, and finance partners to support continuous cost optimization and governance.

What you'll do

• Analyse cloud billing and usage data across Azure, AWS, and GCP.
• Identify cost trends, anomalies, and optimization opportunities.
• Investigate root causes of cost spikes and unexpected spend.
• Build and maintain FinOps dashboards and reports in FinOps tools and BI platforms.
• Support executive, finance, and engineering reporting requirements.
• Maintain cost allocation models based on tags, accounts, projects, and business units.
• Generate rightsizing, idle resource, storage, and commitment utilization reports.
• Track implementation and savings realization of optimization actions.
• Support RI/SP/CUD utilization analysis and coverage tracking.
• Support configuration and ongoing administration of FinOps tools.
• Validate data ingestion, billing exports, and cost categorization logic.
• Assist in integrating billing data with internal systems and data pipelines.
• Assist in researching complex billing scenarios and pricing behaviours.
• Support development of scripts, queries, or automation for cost data processing.
• Help improve data quality and enrichment for reporting and forecasting.

What you'll need

• 2–5 years of experience in cloud operations, financial analysis, or FinOps roles.
• Strong analytical skills with large datasets and billing exports.
• Experience with at least one major cloud provider's billing and cost management data.
• Proficiency in Excel and SQL.
• Understanding of cloud pricing models and billing constructs.
• Ability to communicate findings clearly to technical and non-technical stakeholders.

Nice to have

• FinOps Certified Practitioner or equivalent training.
• Experience with Cloudability, CloudHealth, or similar FinOps platforms.
• Experience working with data warehouses or BI tools (Power BI, Tableau, Looker).
• Exposure to Kubernetes cost visibility and shared services allocation.
• Experience with Python.