Cloud FinOps Analyst: Cost Optimization & Analytics

Pearson; Carson City (NV); On-site; USD 100,000 - 115,000; Full time

Job summary

Pearson is seeking a Cloud and Hosting Services Analyst to collect and analyze data for cloud financial insights within an Infrastructure and Operations context. You will produce reports for multi-cloud platforms, partner with global teams, and support FinOps with KPIs and data modeling.

The role emphasizes cost forecasting, optimization recommendations, and data-driven decision making. Strong Excel skills and cloud platform experience are required.

Qualifications

• Undergraduate or master’s degree in computer science, MIS, or data analytics.
• +5 years of experience in IT (Business Analytics, Project Management, IT Finance) required.

Responsibilities

• Produce insightful reports for multi-cloud platforms for management.
• Collaborate with cross-functional teams globally to drive data insights.
• Support FinOps with goals/KPIs, data retrieval and modeling.
• Map data processes with Cloud Governance for a single data source.
• Analyze and forecast cloud hosting costs and provide optimization recommendations.
• Create and maintain month-end and quarter-end reports.
• Apply Agile methodologies for planning and execution.
• Leverage tools to enable data-driven decisions.
• Gather requirements for automation projects and assess fit, skills, and costs.

Skills

Self-starter

Cross-functional collaboration

Financial principles

Data analytics

Large datasets

Advanced Excel

Cloud platforms (Azure, AWS, Google)”

Education

Bachelor’s or Master’s in CS / MIS / Data Analytics

Tools

Azure

AWS

Google Cloud

IBM Cloud

Job description

Pearson is seeking a Cloud and Hosting Services Analyst to collect and analyze data for cloud financial insights within an Infrastructure and Operations context. You will produce reports for multi-cloud platforms, partner with global teams, and support FinOps with KPIs and data modeling.

The role emphasizes cost forecasting, optimization recommendations, and data-driven decision making. Strong Excel skills and cloud platform experience are required.