About the company
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams ā People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more ā provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Summary
You Will
šAnalyze cloud spend and usage across AWS, GCP, and related platforms to identify trends, anomalies, and optimization opportunities šBuild and maintain forecasting and cost models that support business growth and financial planning šPartner with engineering teams to improve resource efficiency through rightsizing, commitment strategies, and better usage patterns šDevelop and maintain tagging, cost allocation, and chargeback frameworks šExplore and apply AI/ML techniques to improve prediction, automation, and insight generation in cloud cost management šWork closely with engineering, finance, and procurement partners on optimization initiatives, budgets, vendor management šIdentify cross-team opportunities to improve pricing, licensing, and cloud usage efficiency šCommunicate insights and recommendations clearly to both technical and non-technical audiences šTranslate complex billing and usage data into actionable insights and strategic recommendations šBuild and maintain dashboards and automated reporting that highlight cloud efficiency, ROI, and FinOps maturity šUse automation and AI to streamline recurring analysis and reporting workflows
You Have
šStrong analytical skills, including SQL and data analysis š5+ years of experience in FinOps, cloud cost analysis, financial analysis, or a related analytical role šWorking knowledge of cloud platforms (e.g., AWS, GCP) and cloud billing models šInterest in applying AI/ML to analytics, forecasting, or automation šExperience with data visualization, scripting (e.g., Python), or infrastructure tooling šExposure to large-scale or multi-cloud environments šExperience with cloud cost management and reporting tools
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