## About the Role

This hybrid Azure FinOps Analyst role sits within a centralized FinOps organization focused on cloud financial management in a large enterprise Azure environment. The position exists to turn cloud spend data into clear insights that improve cost efficiency, forecasting, and decision making.

You will work across Engineering, Information Security, Finance, Architecture, and Cloud Platform teams to help optimize commitments, discounts, and consumption patterns. The role combines cloud engineering, data analytics, finance, automation, and AI to support enterprise-wide cost optimization.

The work has direct business impact, including improved spend visibility, reduced waste, and better reporting across more than nine figures of annual cloud spend. Qualified candidates must live within 180 miles of Bloomington, IL; Richardson, TX; Dunwoody, GA; or Tempe, AZ.

## Key Responsibilities

– Analyze Azure spend to identify 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 to improve Azure commitments, reservation strategies, savings opportunities, and consumption alignment.
– Identify idle, orphaned, overprovisioned, and misconfigured resources, then quantify the value of optimization opportunities.
– Build executive dashboards, forecasting models, KPIs, and self-service reporting.
– Work closely with engineering, architecture, finance, data, and cloud governance stakeholders.
– Translate technical cloud usage patterns into financial narratives and actionable business recommendations.
– Support a culture of 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 creating 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 explain technical concepts to both engineering and business audiences.
– Curiosity, creativity, and a willingness to challenge conventional thinking.
– Comfort with experimentation and learning from failure.

## Preferred Skills

– FinOps Certified Practitioner/Engineer/AI Value.
– 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 working 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 / Billing / Governance
– Azure native cost management
– Azure billing
– Azure governance capabilities
– Azure commitments
– Azure reservations
– Azure discount programs

### Programming Languages & Query
– SQL
– Python

### Data & Analytics
– Power BI
– Forecasting models
– Statistical modeling
– Anomaly detection

### APIs & Automation
– APIs
– Cloud APIs
– Scripting
– Infrastructure tooling
– Workflow orchestration platforms
– Automation frameworks

### AI
– AI
– AI platforms
– Large language models (LLMs)
– Prompt engineering
– AI governance

## FinOps Responsibilities

– Provide visibility into Azure cost drivers, trends, forecasts, and anomalies.
– Improve commitment, reservation, and consumption strategies.
– Identify and quantify cloud waste and optimization opportunities.
– Develop reporting, dashboards, and KPI tracking for spend management.
– Support AI-driven FinOps capabilities and automated decision support.
– Convert cloud usage data into financial insights for business leaders.
– Promote cost accountability and ongoing optimization.

## Benefits

– Base salary range: $107,000–$142,000, with the top end reserved for candidates with significant relevant experience.
– Annual incentive pay up to 15% of base salary.
– Compensation is based on a standard 38:45-hour work week.
– Annual raise and bonus eligibility.
– Health coverage with most of the medical premium paid by the company.
– Medical plan options, including a high-deductible plan.
– 100% coverage for in-network preventive care.
– Vision, dental, telemedicine, and 24/7 mental health support.
– Training programs, tuition assistance, employee resource groups, and mentoring.
– Fertility/IVF/adoption assistance, college coaching, discount programs, monthly financial workshops, free financial coaching, and access to State Farm Federal Credit Union.
– Up to 20 days of annual leave initially, plus parental leave, paid holidays, celebration day, life leave, 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) with company contributions of up to 7% of salary.

## Why You Might Be Interested

This role offers the chance to shape cloud financial strategy in a large Azure environment with significant spend and visible business impact. It combines FinOps, analytics, automation, and AI in a highly cross-functional setting. The position also provides exposure to executive stakeholders and the opportunity to help build next-generation FinOps capabilities. The benefits package includes strong compensation, broad health coverage, learning support, and meaningful time-off options.