## About the Role

State Farm is hiring an Azure FinOps Analyst to join its centralized cloud financial management team. The role focuses on turning Azure spend data into actionable insight that improves cost optimization, operational efficiency, and AI-supported decision making.

The analyst will work closely with Engineering, Information Security, Finance, Architecture, and Platform teams to improve how cloud investments are managed. The position has visibility across a multi-million-dollar Azure environment and contributes to decisions that affect more than nine figures in annual cloud spend. It also supports the development of FinOps capabilities for AI and AI for FinOps.

This is a hybrid role for candidates who live within 180 miles of Bloomington, IL; Richardson, TX; Dunwoody, GA; or Tempe, AZ.

## Key Responsibilities

– Own Azure spend analytics and provide visibility into cost drivers, trends, forecasts, and anomalies.
– Lead AI for FinOps initiatives, including anomaly detection, optimization recommendations, natural-language insights, executive reporting automation, and decision-support solutions.
– Partner with cloud platform teams on Azure commitments, reservations, savings opportunities, discount programs, and consumption alignment.
– Identify idle, orphaned, overprovisioned, and misconfigured resources, and quantify the business value of optimization opportunities.
– Build executive dashboards, forecasting models, KPIs, and self-service reporting.
– Collaborate with engineering, architecture, finance, data, and governance stakeholders.
– Translate technical cloud usage patterns into financial narratives and business recommendations.
– Promote continuous cost optimization, accountability, and operational excellence.

## Required Skills

– Strong experience with Microsoft Azure in large-scale enterprise environments
– Experience using Azure native cost management, billing, and governance capabilities
– Understanding of FinOps principles and cloud cost optimization strategies
– Strong knowledge of Azure cost drivers, including compute, storage, networking, commitments and reservations, and utilization patterns
– Advanced SQL skills and experience analyzing large datasets
– Experience building dashboards and reports in Power BI
– Experience with APIs, scripting, or automation technologies such as Python, SQL, infrastructure tooling, or workflow orchestration platforms
– Strong analytical, conceptual thinking, communication, and problem-solving skills
– Ability to communicate technical concepts to both engineering and business audiences
– Curiosity, creativity, and willingness to challenge conventional thinking
– Comfort experimenting with new ideas and learning from failure to drive innovation

## Preferred Skills

– FinOps Certified Practitioner, FinOps Certified Engineer, or FinOps AI Value certification
– Microsoft Azure cloud certifications
– Experience building AI-enabled analytics or automation solutions
– Familiarity with large language models (LLMs), AI platforms, prompt engineering, or AI governance concepts
– Experience with cloud APIs and automation frameworks
– Knowledge of forecasting, statistical modeling, or anomaly detection techniques
– Experience supporting executive reporting and strategic decision making

## Cloud Platforms & Technologies

– **Cloud Providers:** Microsoft Azure
– **FinOps / Governance:** Azure native cost management, billing, and governance capabilities; Azure commitments; reservations; discount programs
– **Data & Analytics:** SQL; Power BI; large datasets; forecasting; statistical modeling; anomaly detection
– **Programming & Automation:** Python; APIs; scripting; infrastructure tooling; workflow orchestration platforms
– **AI / Machine Learning:** AI platforms; large language models (LLMs); prompt engineering; AI governance

## FinOps Responsibilities

– Provide visibility into Azure spend, including cost drivers, trends, forecasts, and anomalies.
– Support AI for FinOps capabilities such as anomaly detection, optimization recommendations, reporting automation, and decision support.
– Improve Azure commitments, reservation strategies, savings opportunities, and consumption alignment.
– Identify waste and quantify the value of remediation opportunities.
– Build dashboards, KPIs, forecasting models, and self-service reporting.
– Strengthen cost governance, accountability, and continuous optimization practices.
– Translate cloud usage into financial and business recommendations.

## Benefits

– Compensation is based on a standard 38:45-hour work week
– Starting salary range: $107,000–$142,000, based on skills, background, and experience
– The top of the salary range is limited to applicants with significant relevant experience
– Annual incentive pay up to 15% of base salary
– Annual raise and bonus eligibility
– State Farm pays most of the healthcare premium
– Multiple healthcare plan options, including a high-deductible plan
– 100% coverage for in-network preventive care on all medical plans
– Vision, dental, telemedicine, and 24/7 mental health support
– Training programs, tuition assistance, employee resource groups, and mentoring
– Fertility/IVF/adoption assistance
– College coaching, national discount programs, monthly financial workshops, and free financial coaching
– Access to savings accounts and financing through State Farm Federal Credit Union
– Up to 20 days of annual time off initially, plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days
– Matching Gift Program, Good Neighbor Grant Program, and Employee Assistance Fund
– Free financial advisors and a 401(k) plan with company contributions up to 7% of salary

## Why You Might Be Interested

This role combines Azure analytics, finance, automation, and AI within a centralized FinOps function. It offers direct collaboration with leaders across engineering, security, finance, architecture, and platform teams. The work has clear visibility and affects enterprise cloud spending at scale. Candidates interested in AI-enabled cloud financial management and practical cost optimization will find a broad and measurable scope here.