Azure FinOps Analyst

Are you passionate about Azure, 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 Azure FinOps Analyst with an inquisitive mindset and a passion for innovation to help lead the evolution of enterprise cloud financial management.

As a member of our centralized FinOps organization, you’ll be at the center of driving a culture of cost optimization, operational efficiency, and AI-powered decision making. This highly visible role combines cloud engineering, data analytics, finance, automation, and artificial intelligence while partnering with leaders across Engineering, Information Security, Finance, Architecture, and Platform teams.

This is an opportunity to directly influence how cloud investments are optimized while helping shape the future of FinOps for AI and AI for FinOps.

This position offers an opportunity to:

• Influence enterprise-wide cloud financial strategy across a multi-million-dollar Azure 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 Azure commitments, discount programs, and consumption strategies to maximize business value.
• Design intelligent automation that safely eliminates cloud waste and improves operational efficiency.
• See the measurable impact of your work by helping manage and optimize over nine figures of annual cloud spend.
• Be part of a highly collaborative, innovative team that encourages experimentation, continuous learning, and new ideas.

As an Azure FinOps Analyst, you will:

• Own Azure 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
• Partner with cloud platform teams to optimize Azure commitments, reservation strategies, savings opportunities, and consumption alignment.
• Identify infrastructure waste—including idle, orphaned, overprovisioned, and misconfigured resources—and quantify business value from optimization opportunities.
• Develop executive dashboards, forecasting models, KPIs, and self-service reporting.
• Build trusted partnerships with engineering teams, architects, finance organizations, data teams, and cloud governance stakeholders.
• Translate complex technical cloud usage 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 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
  • Utilization patterns
• Advanced SQL skills with experience analyzing large datasets.
• Experience developing dashboards and reports using Power BI.
• Experience working 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 a willingness to challenge conventional thinking.
• Comfortable experimenting with new ideas and learning from failure to drive innovation.

Preferred Qualifications

• FinOps Certified Practitioner/Engineer/AI Value
• Microsoft Azure cloud certifications.
• Experience developing 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.

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