Senior Cloud & FinOps Data Analyst (Remote)

Pearson; Helena (MT); Remote; USD 100,000 - 115,000; Full time

Job summary

Pearson is seeking a Senior Cloud Engineer to analyze cloud cost data, produce insights, and support FinOps across multi-cloud environments. You will partner with Cloud Governance, Finance, and IT teams to model costs, forecast usage, and optimize spend while delivering automated reporting.

This remote role supports global stakeholders. Ideal candidates have strong Excel skills, cloud experience (Azure, AWS, Google Cloud), and proficiency with automation (Java/Python) in a dynamic environment.

Qualifications

• Undergraduate or master's degree in computer science, management information systems, data analytics
• +5 years of experience in IT (Business Analytics, Project Management, IT Finance)

Responsibilities

• Produce insightful reports for multi-cloud platforms
• 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 to create a single data source
• Analyze and forecast cloud hosting costs
• Provide cost optimization recommendations
• Create and maintain month-end and quarter-end reports
• Use Agile methodologies for planning and execution
• Leverage tools/tech to drive data-driven decisions
• Define automation requirements and explore solutions based on fit and skills

Skills

Azure

AWS

Google Cloud

IBM Cloud

Advanced Excel

Data analysis

REST API

Java

Python

Cross-functional collaboration

Education

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

Tools

Cloudability

AWS S3

AWS Lambda

Job description

Pearson is seeking a Senior Cloud Engineer to analyze cloud cost data, produce insights, and support FinOps across multi-cloud environments. You will partner with Cloud Governance, Finance, and IT teams to model costs, forecast usage, and optimize spend while delivering automated reporting.

This remote role supports global stakeholders. Ideal candidates have strong Excel skills, cloud experience (Azure, AWS, Google Cloud), and proficiency with automation (Java/Python) in a dynamic environment.