Lead Azure FinOps Analyst

# Lead Azure Fin Ops Analyst Tempe Fin Ops
100k – 150k23/07/2026

Full-time

Hybrid Favorite Access  Job##

Job Description ## About the Role This hybrid Azure Fin Ops Analyst role sits within a centralized Fin Ops 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.Campaigns & Elections##

Key Responsibilities – Analyze Azure spend to identify cost drivers, trends, forecasts, and anomalies.  – Lead AI for Fin Ops 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, over provisioned, 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 Fin Ops 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– Fin Ops 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### Fin Ops / 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## Fin Ops Responsibilities– Provide…