FinOps Cloud Engineer: Cost Analytics & Optimization

Pearson; Frankfort (KY); 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 our Infrastructure and Operations organization. You will produce multi-cloud cost reports, collaborate with global teams, and support FinOps with KPI tracking and data modeling.

Responsibilities include forecasting cloud hosting costs, providing optimization recommendations, and building month-end and quarter-end reports while applying Agile practices to drive data-driven

Qualifications

• Undergraduate or master's degree in computer science, management information systems, or 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 drive data insights and partnerships.
• Support FinOps with KPIs, data retrieval and modeling.
• Map data flows with Cloud Governance to create a single data source.
• Forecast cloud hosting costs and provide optimization recommendations.
• Create month-end and quarter-end reports.
• Apply Agile planning and execution to projects.
• Leverage tools to enable data-driven decisions.
• Gather requirements for targeted automation initiatives.

Skills

Excel advanced

AWS

Azure

Google Cloud

Python

Java

Data analytics

Financial principles

Agile

REST APIs

Education

CS/MIS/Data Analytics degree

Tools

SQL

NoSQL

Data Visualization Tools

ETL Tools

Job description

Pearson is seeking a Cloud and Hosting Services Analyst to collect and analyze data for cloud financial insights within our Infrastructure and Operations organization. You will produce multi-cloud cost reports, collaborate with global teams, and support FinOps with KPI tracking and data modeling.

Responsibilities include forecasting cloud hosting costs, providing optimization recommendations, and building month-end and quarter-end reports while applying Agile practices to drive data-driven