Cloud FinOps Analyst: Data-Driven Cloud Cost Optimizer

Pearson; Salt Lake City (UT); On-site; USD 100,000 - 115,000; Full time

Benefits offered by this job

Annual incentive program

Job summary

Pearson is seeking a Cloud and Hosting Services Analyst to help collect and analyze data for cloud financial insights within an Infrastructure and Operations context.

You will produce reports for multi-cloud platforms, collaborate with global teams, and support FinOps with KPIs, data retrieval, and modeling. The role emphasizes data-driven decision making and cost optimization across cloud environments.

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 for management.
• Collaborate with cross-functional teams globally to translate requirements into data insights.
• Support the FinOps team with goals/KPIs, retrieving data and modeling.
• Partner with Cloud Governance to map data flows for a single data source.
• Analyze and forecast cloud hosting costs.
• Provide cost optimization recommendations.
• Create month-end and quarter-end reports.
• Use Agile planning and execution.
• Utilize tools and technology to drive data-based decisions.
• Gather requirements for targeted automation projects and evaluate potential solutions.

Skills

Financial principles

Business analytics

Data management

Advanced Excel

Cloud platforms

REST API

Java

Python

Azure

AWS

Google Cloud

Education

BSc/MSc in CS, MIS or data analytics

Tools

Cloudability

Job description

Pearson is seeking a Cloud and Hosting Services Analyst to help collect and analyze data for cloud financial insights within an Infrastructure and Operations context.

You will produce reports for multi-cloud platforms, collaborate with global teams, and support FinOps with KPIs, data retrieval, and modeling. The role emphasizes data-driven decision making and cost optimization across cloud environments.