Senior FinOps Analyst

ICF; United States; Hybrid; USD 74,000 - 126,000; Full time

Job summary

ICF seeks a Senior FinOps Analyst to support the Summit program, delivering cloud financial management across a federal data and analytics ecosystem. You will craft FinOps dashboards, analyze spend, and forecast costs to improve efficiency and performance.

You will partner with Product Operations, engineering, and leadership to surface cost impacts of architecture and workload decisions, and to document savings and optimization outcomes across Azure and Databricks.

Qualifications

• Bachelor’s degree in Data Management, Information Systems, Data Governance, Business Analytics, Computer Science, Library/Information Science, or a related field; or a high school diploma plus four additional years of relevant experience.
• At least 6 years of relevant experience aligned with FinOps, dashboarding, reporting, and analytics development.

Responsibilities

• Build and maintain FinOps dashboards and executive reporting for cloud spend, utilization, trends and performance.
• Analyze cloud consumption to identify optimization and rightsizing opportunities.
• Create cloud cost forecasts and compare actual spend with projected usage.
• Assess cost-performance tradeoffs across architecture, platform, data, and AI/ML.
• Analyze Azure and Databricks consumption patterns for trends and optimization.
• Surface cost impact of planned work before priorities are finalized.
• Track and document savings and efficiency gains after implementation.
• Translate cloud data into recommendations for technical teams and leadership.

Skills

FinOps

Cloud cost analysis

Dashboards

Forecasting

Education

Bachelor’s degree in a related field

High school diploma + 4 years experience

Tools

Power BI

Azure

Databricks

Job description

ICF is seeking a Senior FinOps Analyst to support the Summit program and provide cloud financial management expertise for a large federal agency’s enterprise data and analytics ecosystem. The role is focused on making cloud cost, utilization, and performance visible and actionable across platform, data, AI/ML, and customer-facing workstreams.

This position partners closely with Product Operations, engineering, data, and technical leads to help evaluate the financial impact of architecture and workload decisions. The goal is to improve efficiency while balancing cost, utilization, and performance across a cloud-based environment that supports storage, analytics, governance, and AI/ML capabilities.

The role is remote, with a strong preference for candidates in the Washington, DC Metro Area. Occasional onsite meetings in Washington, DC are required.

Key Responsibilities

• Build and maintain FinOps dashboards and executive reporting covering cloud spend, utilization, trends, and performance.
• Analyze cloud consumption to identify optimization, rightsizing, and efficiency opportunities.
• Create cloud cost forecasts and compare actual spend with projected usage and demand.
• Assess cost-performance tradeoffs related to architecture, platform, data, and AI/ML decisions.
• Analyze Azure and Databricks consumption patterns to identify trends, anomalies, and optimization opportunities.
• Work with Product Operations and technical leads to surface the cost impact of planned work before priorities and investments are finalized.
• Track and document savings, efficiency gains, and optimization outcomes after implementation.
• Translate cloud cost and utilization data into clear recommendations for technical teams and leadership.
• Develop metrics and reporting that improve accountability and visibility into cloud consumption.
• Support FinOps practices including cost allocation, forecasting, optimization, and cloud financial governance.
• Investigate unusual spending or utilization patterns and collaborate with technical teams on root causes and corrective actions.

Required Skills

• U.S. citizenship.
• Must reside in the U.S., be authorized to work in the U.S., and perform all work in the U.S.
• Must have lived in the U.S. for three full years out of the last five years.
• Bachelor’s degree in Data Management, Information Systems, Data Governance, Business Analytics, Computer Science, Library/Information Science, or a related field; or a high school diploma plus four additional years of relevant experience.
• At least 6 years of relevant experience aligned with the role, including dashboard, reporting, and analytics development.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent written and verbal communication skills.
• Strong organization, attention to detail, and ability to manage multiple priorities.
• Collaborative approach with a commitment to quality, accountability, and continuous improvement.

Preferred Skills

• Experience with FinOps, cloud financial management, forecasting, and cost optimization in Azure environments.
• Experience analyzing and optimizing Databricks compute, workload utilization, and cost-performance.
• Experience supporting enterprise data platforms, analytics, and AI/ML workloads in cloud environments.
• Experience building FinOps dashboards, cost/utilization trend analysis, and executive reporting using Power BI or similar tools.
• Ability to convert cloud consumption and technical usage into rightsizing and optimization recommendations for technical and business stakeholders.
• Familiarity with Azure cost management, monitoring, tagging, budgeting, and cloud governance practices.
• Master’s degree, which may substitute for two years of relevant experience.

Reporting & BI

• Power BI

• Full-time salary range: $74,090.00 – $125,954.00
• Remote work arrangement
• Occasional onsite meetings in Washington, DC

Useful Links

• LinkedIn: https://www.linkedin.com/jobs/view/4484565173
• Application: https://www.linkedin.com/jobs/view/4484565173

Why You Might Be Interested

This role offers the chance to shape cloud financial management practices for a large federal data and analytics platform with broad user impact. It combines FinOps, forecasting, reporting, and optimization work across Azure and Databricks environments. The position also provides regular collaboration with technical and product stakeholders, making it well suited to candidates who want to influence cost, utilization, and performance decisions at scale.