Remote Cloud FinOps & Data Insights Engineer

Pearson; Trenton (NJ); Remote; USD 100,000 - 115,000; Full time

Benefits offered by this job

Annual incentive

Remote-friendly workplace

Professional development

Job summary

Pearson is seeking a Senior Cloud Engineer to join the Cloud and Hosting Services team in the United States. You will collect and analyze data to provide cloud financial insights across multi-cloud environments within an Infrastructure and Operations framework.

You will produce reports for management, work with global teams, forecast costs, and recommend optimization strategies, using Azure, AWS, Google Cloud, and Excel for analytics.

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).
• Experience with multi-cloud environments and FinOps.
• Strong Excel and data visualization skills.

Responsibilities

• Produce insightful reports for multi-cloud platforms for Management.
• Collaborate with cross-functional teams globally to drive data insights.
• Support FinOps with goals, data retrieval, and modeling.
• Map data processes with Cloud Governance for a single data source.
• Analyze and forecast cloud hosting costs.
• Provide cost optimization recommendations.
• Create and maintain month-end and quarter-end reports.
• Apply Agile methodology for planning and execution.
• Leverage tools to enable data-driven decisions.
• Gather requirements for targeted automation projects and explore solutions.

Skills

Cloud cost analysis

FinOps

Data analytics

Excel advanced

Cross-functional teamwork

Azure

AWS

Google Cloud

SQL

Education

Bachelor's or Master’s in CS/IS/Data Analytics

+5 years IT / Business Analytics experience

Tools

Cloudability

Job description

Pearson is seeking a Senior Cloud Engineer to join the Cloud and Hosting Services team in the United States. You will collect and analyze data to provide cloud financial insights across multi-cloud environments within an Infrastructure and Operations framework.

You will produce reports for management, work with global teams, forecast costs, and recommend optimization strategies, using Azure, AWS, Google Cloud, and Excel for analytics.