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Job Description
Structured overview of role & requirementsAbout This Role
Manage cloud cost allocation, anomaly detection, and optimization analysis for Azure environments to generate actionable financial insights.
Develop and maintain automated reports and dashboards to track FinOps metrics including cost, margin, and utilization for stakeholders.
Leverage AI/ML techniques to enhance anomaly detection, forecast cloud spending, identify cost savings, and prototype automation within FinOps and software asset management workflows.
Minimum Requirements
Bachelor's degree in Finance, Accounting, IT, Computer Science, or related field.
3+ years experience in financial analysis, cloud cost management, software asset management, or related role.
Proficiency in SQL and Excel; Python experience is a plus.
Experience with Azure cost management tools, Databricks, or Power BI preferred; knowledge of software licensing models required.
Ideal Candidate Profile
Experienced in financial and cloud cost management with a strong analytical focus on cloud economics and software asset tracking.
Ability to apply AI/ML methods practically to financial data analysis, anomaly detection, and process automation in FinOps.
Skilled at stakeholder communication across finance, engineering, procurement, and IT teams in large enterprise SaaS or cloud technology environments.
