{"schemaVersion":"jobsearcher.job.v1","id":"f71e53b70cf31e64c71d09cf","url":"https://jobsearcher.com/jobs/f71e53b70cf31e64c71d09cf","canonicalUrl":"https://jobsearcher.com/jobs/f71e53b70cf31e64c71d09cf","title":"Data Analyst Cloud Commitment & Risk Management","description":"Data AnalystWe are looking for a Data Analyst with strong expertise in financial risk analysis, refinancing, and ladder management to join our Cloud Commitment Automation team. This person will own the data modeling and analytics required to continuously optimize commitment portfolios across clouds, ensuring maximum savings with controlled risk exposure.\r\nYou'll work closely with Product, Engineering, FinOps SMEs, and GTM teams to develop insights, models, and playbooks that drive automated, data-driven decision-making.\r\nKey Responsibilities\r\nBuild analytical models to forecast cloud spend, usage patterns, and risk exposure across multiple commitment instruments\r\nEvaluate and manage commitment ladders — design optimal maturity structures to balance savings and flexibility\r\nIdentify refinancing opportunities (e.g., SP/RI exchanges, Azure re-reservation, GCP commitment reshaping)\r\nPartner with engineering to operationalize forecasting data into automated actions\r\nCreate internal dashboards tracking coverage, savings performance, utilization trends, and expirations\r\nProvide actionable insights to CS and Sales for customer engagements and executive reporting\r\nDevelop and continuously refine benchmarking methodologies across clouds\r\nContribute to roadmap decisions for commitment automation capabilities\r\nSkills & Experience\r\nRequired\r\n3+ years in data analytics, preferably in Cloud FinOps, treasury, or financial risk modeling domains\r\nHands-on experience with commitment instruments like: AWS RIs & Savings Plans (Compute & Non-Compute), Azure Reservations, GCP Committed Use Discounts (CUD)\r\nStrong quantitative modeling skills (forecasting, correlation, scenario analysis)\r\nExperience with BI tools (Looker, Power BI, Tableau, etc.)\r\nAbility to communicate complex insights to executives and non-technical stakeholders","company":"Nopsio","rawCompany":"nopsio","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-09T01:30:03.821Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-2054.00","title":"Financial Risk Specialists","slug":"financial-risk-specialists"},{"code":"13-2051.00","title":"Financial and Investment Analysts","slug":"financial-and-investment-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analyst Cloud Commitment & Risk Management","description":"Data AnalystWe are looking for a Data Analyst with strong expertise in financial risk analysis, refinancing, and ladder management to join our Cloud Commitment Automation team. This person will own the data modeling and analytics required to continuously optimize commitment portfolios across clouds, ensuring maximum savings with controlled risk exposure.\r\nYou'll work closely with Product, Engineering, FinOps SMEs, and GTM teams to develop insights, models, and playbooks that drive automated, data-driven decision-making.\r\nKey Responsibilities\r\nBuild analytical models to forecast cloud spend, usage patterns, and risk exposure across multiple commitment instruments\r\nEvaluate and manage commitment ladders — design optimal maturity structures to balance savings and flexibility\r\nIdentify refinancing opportunities (e.g., SP/RI exchanges, Azure re-reservation, GCP commitment reshaping)\r\nPartner with engineering to operationalize forecasting data into automated actions\r\nCreate internal dashboards tracking coverage, savings performance, utilization trends, and expirations\r\nProvide actionable insights to CS and Sales for customer engagements and executive reporting\r\nDevelop and continuously refine benchmarking methodologies across clouds\r\nContribute to roadmap decisions for commitment automation capabilities\r\nSkills & Experience\r\nRequired\r\n3+ years in data analytics, preferably in Cloud FinOps, treasury, or financial risk modeling domains\r\nHands-on experience with commitment instruments like: AWS RIs & Savings Plans (Compute & Non-Compute), Azure Reservations, GCP Committed Use Discounts (CUD)\r\nStrong quantitative modeling skills (forecasting, correlation, scenario analysis)\r\nExperience with BI tools (Looker, Power BI, Tableau, etc.)\r\nAbility to communicate complex insights to executives and non-technical stakeholders","datePosted":"2026-08-09T01:30:03.821Z","dateModified":"2026-08-09T01:30:03.821Z","hiringOrganization":{"@type":"Organization","name":"Nopsio","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f71e53b70cf31e64c71d09cf"},"url":"https://jobsearcher.com/jobs/f71e53b70cf31e64c71d09cf"}}