Senior Cloud FinOps & Analytics Engineer (Remote)

Pearson; Phoenix (AZ); Remote; USD 100,000 - 115,000; Full time

Benefits offered by this job

Annual incentive program

Benefits package

Job summary

Pearson is seeking a Senior Cloud Engineer to help collect and analyze data for cloud financial insights within an Infrastructure and Operations context. You will produce reports, forecast costs, and partner with FinOps and Cloud Governance to drive data-driven decisions.

You will work with cross-functional teams globally, apply Agile methods, and contribute to automation initiatives while leveraging cloud platforms such as Azure, AWS, Google Cloud and more.

Qualifications

• Undergraduate or master’s degree in computer science, MIS or data analytics.
• +5 years IT experience in Business Analytics, PM or IT Finance.

Responsibilities

• Produce insightful reports for multi-cloud platforms.
• Collaborate with cross-functional teams globally to drive data insights.
• Support FinOps with KPIs, data retrieval and modeling.
• Map data processes with Cloud Governance to consolidate sources.
• Analyze and forecast cloud hosting costs.
• Provide cost optimization recommendations.
• Create month-end and quarter-end reports.
• Use Agile planning and execution.
• Utilize data tools for informed decisions.
• Collect requirements for automation projects and assess fit, cost, and strategy.

Skills

Self-starter

Financial principles

Business analytics

Cross-functional collaboration

Data analysis

Advanced Excel

Cloud platforms

Education

Undergraduate or Master’s in CS/MIS/Analytics

Tools

Azure

AWS

Google Cloud

IBMCloud

Job description

Pearson is seeking a Senior Cloud Engineer to help collect and analyze data for cloud financial insights within an Infrastructure and Operations context. You will produce reports, forecast costs, and partner with FinOps and Cloud Governance to drive data-driven decisions.

You will work with cross-functional teams globally, apply Agile methods, and contribute to automation initiatives while leveraging cloud platforms such as Azure, AWS, Google Cloud and more.