Lead AWS FinOps Analyst

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

Hybrid

Qualified candidates must live within a 180‑mile radius of a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

Hub Locations

Bloomington, IL; Richardson, TX; Dunwoody, GA; Tempe, AZ

Work Authorization

Applicants for this position are required to be eligible to work lawfully in the U.S. immediately; the employer will not sponsor applicants for U.S. work authorization (e.g., H‑1B visa).

Responsibilities

Are you passionate about AWS, analytics, AI, and solving complex business challenges? Do you enjoy turning cloud data into actionable insights that save millions of dollars? We're looking for an experienced AWS FinOps Analyst to help lead the evolution of enterprise cloud financial management.

• Influence enterprise‑wide cloud financial strategy across a multi‑million‑dollar AWS environment.
• Partner directly with senior leaders across Engineering, Information Security, Finance, Architecture, and Cloud Platform organizations.
• Drive next‑generation AI for FinOps capabilities including intelligent anomaly detection, optimization recommendations, automated reporting, and decision support.
• Help optimize AWS pricing strategies through Reserved Instances, Savings Plans, commitment management, and consumption optimization.
• Design intelligent automation that safely eliminates cloud waste and improves operational efficiency.
• See the measurable impact of your work by managing and optimizing over nine figures of annual cloud spend.
• Be part of a highly collaborative, innovative team that encourages experimentation, continuous learning, and new ideas.

Key Duties as an AWS FinOps Analyst

• Own AWS cloud spend analytics by delivering actionable visibility into cost drivers, trends, forecasts, and anomalies.
• Lead AI for FinOps initiatives, including:
  • Intelligent anomaly detection
  • Optimization recommendations
  • Natural‑language insights
  • Executive reporting automation
  • Decision‑support solutions
• Establish and operationalize AI cost models (token, model, agent level) and enable enterprise‑level AI cost transparency.
• Partner with cloud platform teams to optimize Reserved Instance coverage, Savings Plans strategies, commitment utilization, and overall cloud consumption.
• Identify infrastructure waste—including idle, orphaned, overprovisioned, and misconfigured resources—and quantify the financial impact of optimization opportunities.
• Build executive dashboards, forecasting models, KPIs, and self‑service reporting leveraged by leadership and thousands of engineers.
• Develop analytics that leverage AWS Cost and Usage Reports, AWS Cost Explorer, AWS Cost Optimization Hub, AWS Trusted Advisor, and related services.
• Build trusted partnerships with engineering teams, cloud architects, finance organizations, data teams, and cloud governance stakeholders.
• Translate complex cloud consumption patterns into clear financial narratives and actionable business recommendations.
• Champion a culture of continuous cost optimization, accountability, and operational excellence.

Qualifications

• Strong experience working with Amazon Web Services (AWS) in large‑scale enterprise environments.
• Experience using AWS native cost management and billing services such as AWS Cost Explorer, AWS Cost and Usage Reports (CUR), and AWS Cost Optimization Hub.
• Strong understanding of FinOps principles and cloud financial management.
• Familiarity with CI/CD pipelines and shift‑left engineering practices.
• Advanced SQL skills with experience analyzing large cloud billing datasets.
• Experience building executive dashboards and analytics using Amazon QuickSight.
• Experience working with APIs, Python, SQL, infrastructure tooling, or workflow orchestration platforms.
• Strong analytical, conceptual thinking, communication, and problem‑solving skills.
• Ability to communicate technical cloud concepts to engineering and business stakeholders.
• Curiosity, creativity, and willingness to challenge conventional thinking.
• Comfortable experimenting with new ideas and learning from failure to drive innovation.

Preferred Qualifications

• FinOps Certified Practitioner or equivalent FinOps certification.
• AWS Certified Cloud Practitioner, Solutions Architect, Data Analytics, or other AWS certifications.
• Experience with LLM/token‑based pricing models (OpenAI, Claude, Bedrock APIs).
• Governance & Automation – Implement policy‑based controls, anomaly detection, and automated enforcement for AI cost management.
• Experience developing AI‑enabled analytics or automation solutions.
• Familiarity with Amazon Bedrock, generative AI, prompt engineering, or AI governance concepts.
• Experience integrating AWS APIs and cloud automation frameworks.
• Knowledge of forecasting, statistical modeling, or anomaly detection techniques.
• Familiarity with Cloudability.

Our Benefits

• Potential starting salary range: $107,000 - $142,000. Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience.
• Potential yearly incentive pay up to 15% of base salary.

• Competitive pay with annual raise and bonus.
• Robust health and wellness programs with most healthcare premiums paid by State Farm.
• Educational benefits including industry‑leading training programs, tuition assistance, employee resource groups, and mentoring.
• Benefits for major life events such as fertility, adoption assistance, college coaching, and financial workshops.
• Generous time‑off policies including paid holidays, parental leave, community service days, and up to 20 days of annual leave initially.
• Giving‑back opportunities through Matching Gift Program and Good Neighbor Grant Program.
• Retirement planning with a 401(k) plan and company contributions of up to 7% of salary.

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