{"schemaVersion":"jobsearcher.job.v1","id":"16f98e7c3538a4fb6f977883","url":"https://jobsearcher.com/jobs/16f98e7c3538a4fb6f977883","canonicalUrl":"https://jobsearcher.com/jobs/16f98e7c3538a4fb6f977883","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.You'll work closely with Product, Engineering, FinOps SMEs, and GTM teams to develop insights, models, and playbooks that drive automated, data-driven decision-making.Key ResponsibilitiesBuild analytical models to forecast cloud spend, usage patterns, and risk exposure across multiple commitment instrumentsEvaluate and manage commitment ladders — design optimal maturity structures to balance savings and flexibilityIdentify refinancing opportunities (e.g., SP/RI exchanges, Azure re-reservation, GCP commitment reshaping)Partner with engineering to operationalize forecasting data into automated actionsCreate internal dashboards tracking coverage, savings performance, utilization trends, and expirationsProvide actionable insights to CS and Sales for customer engagements and executive reportingDevelop and continuously refine benchmarking methodologies across cloudsContribute to roadmap decisions for commitment automation capabilitiesSkills & ExperienceRequired3+ years in data analytics, preferably in Cloud FinOps, treasury, or financial risk modeling domainsHands-on experience with commitment instruments like: AWS RIs & Savings Plans (Compute & Non-Compute), Azure Reservations, GCP Committed Use Discounts (CUD)Strong quantitative modeling skills (forecasting, correlation, scenario analysis)Experience with BI tools (Looker, Power BI, Tableau, etc.)Ability to communicate complex insights to executives and non-technical stakeholders","company":"Nopsio","rawCompany":"nopsio","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-22T17:08:00.259Z","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.You'll work closely with Product, Engineering, FinOps SMEs, and GTM teams to develop insights, models, and playbooks that drive automated, data-driven decision-making.Key ResponsibilitiesBuild analytical models to forecast cloud spend, usage patterns, and risk exposure across multiple commitment instrumentsEvaluate and manage commitment ladders — design optimal maturity structures to balance savings and flexibilityIdentify refinancing opportunities (e.g., SP/RI exchanges, Azure re-reservation, GCP commitment reshaping)Partner with engineering to operationalize forecasting data into automated actionsCreate internal dashboards tracking coverage, savings performance, utilization trends, and expirationsProvide actionable insights to CS and Sales for customer engagements and executive reportingDevelop and continuously refine benchmarking methodologies across cloudsContribute to roadmap decisions for commitment automation capabilitiesSkills & ExperienceRequired3+ years in data analytics, preferably in Cloud FinOps, treasury, or financial risk modeling domainsHands-on experience with commitment instruments like: AWS RIs & Savings Plans (Compute & Non-Compute), Azure Reservations, GCP Committed Use Discounts (CUD)Strong quantitative modeling skills (forecasting, correlation, scenario analysis)Experience with BI tools (Looker, Power BI, Tableau, etc.)Ability to communicate complex insights to executives and non-technical stakeholders","datePosted":"2026-08-22T17:08:00.259Z","dateModified":"2026-08-22T17:08:00.259Z","hiringOrganization":{"@type":"Organization","name":"Nopsio","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"16f98e7c3538a4fb6f977883"},"url":"https://jobsearcher.com/jobs/16f98e7c3538a4fb6f977883"}}