Cloud Analytics Engineer – AWS & Azure FinOps

MAXIMUS; Pittsburgh (Allegheny County); On-site; USD 50,000 - 80,000; Full time

Job summary

Maximus is seeking a Cloud Analytics professional to analyze AWS and Azure environments, support provisioning and operations, and monitor performance across enterprise platforms. You will develop reports and dashboards to reveal cloud performance, availability, cost, and consumption metrics for data-driven decisions.

This role collaborates with Cloud Engineers and Architects, supports ITSM/ITOM processes, and contributes to DR planning and governance documentation.

Qualifications

• Bachelor's degree in Information Systems, Business, Data Analytics, Engineering, or a related field (or equivalent experience).
• 4+ years of experience in business process analysis, cloud analysis, IT operations analysis, or related roles.
• Demonstrated experience analyzing cloud environments (AWS and/or Azure), including performance, availability, and operational metrics.
• Experience developing reports, dashboards, and data visualizations using Excel, Power BI, Tableau, or similar.
• Proven ability to analyze cloud cost and consumption data and provide actionable insights for optimization.
• Experience supporting ITSM/ITOM processes, including incident, change, and service performance reporting.
• Familiarity with enterprise architecture and governance frameworks and ability to support documentation and compliance tracking.
• Experience analyzing system performance, monitoring data, and incident trends to support operational improvements.
• Experience supporting disaster recovery planning, testing documentation, and continuity tracking.
• Ability to develop and maintain process documentation, reports, and governance artifacts.

Responsibilities

• Analyze AWS and Azure cloud environments to support provisioning, operations, lifecycle management, and performance monitoring across enterprise platforms.
• Evaluate cloud systems for alignment with enterprise architecture and governance standards, partnering with Cloud Engineers and Architects to support system suitability assessments and modernization efforts.
• Support operational analysis across cloud platforms, including monitoring trends, incident data, and reliability metrics to identify improvement opportunities.
• Develop reports and dashboards to provide visibility into cloud performance, availability, cost, and consumption metrics, supporting data-driven decision making.
• Assist in coordinating testing activities related to production deployments, ensuring readiness and alignment with operational and governance requirements.
• Support integration of cloud services into ITSM/ITOM processes, including incident, change, and service management reporting.
• Contribute to disaster recovery (DR) planning and testing by tracking readiness, documenting outcomes, and supporting continuity of operations across cloud and hybrid environments.
• Analyze cloud cost and usage trends, identifying optimization opportunities and supporting budget and FinOps-related reporting activities.
• Track and report on SLA performance, supporting continuous service improvement initiatives across cloud and platform services.
• Collaborate with cross-functional teams to document processes, maintain governance artifacts, and ensure compliance with enterprise policies and standards.

Skills

AWS & Azure analysis

Cloud cost optimization

BI dashboards

ITSM/ITOM reporting

Education

Bachelor's degree in Information Systems, Business, Data Analytics, Engineering, or a related field (or equivalent experience)

Tools

Excel

Power BI

Tableau

Job description

Maximus is seeking a Cloud Analytics professional to analyze AWS and Azure environments, support provisioning and operations, and monitor performance across enterprise platforms. You will develop reports and dashboards to reveal cloud performance, availability, cost, and consumption metrics for data-driven decisions.

This role collaborates with Cloud Engineers and Architects, supports ITSM/ITOM processes, and contributes to DR planning and governance documentation.