{"schemaVersion":"jobsearcher.job.v1","id":"b5617c8fff070d3fb9a493f5","url":"https://jobsearcher.com/jobs/b5617c8fff070d3fb9a493f5","canonicalUrl":"https://jobsearcher.com/jobs/b5617c8fff070d3fb9a493f5","title":"Staff Infrastructure Efficiency Analyst","description":"About the Role\n\nAs an Infrastructure Analyst within the Cloud C.O.R.E team you will be a key driver of financial accountability and optimization across our cloud environments. You will play a critical role in cloud billing data analysis, forecasting, and the identification and impact analysis of engineering and financial optimizations. You will leverage your expertise in data analysis, machine learning, and engineering to drive insights, optimize our infrastructure, improve our forecasts, and deliver efficient growth for Uber. - What the Candidate Will Do -\n\nTranslate complex cloud consumption data into actionable insights for leadership and engineering.\nIdentify and track optimizations and realized savings.\nEstablish key price-performance metrics and partner with engineering to implement price-performance optimizations within production scaling.\nDefine and manage reporting of cloud consumption metrics and KPIs, ensuring transparency, accuracy, and accountability.\nEstablish consumption anomaly detection capabilities and reporting.\nPartner with engineering and capacity planning teams to optimize resource consumption decision making.\nSupport commitment strategies, ensuring commitment decisions that optimize spend and best serve the business and technical strategy.\nEmbed cloud consumption shift-left principles into engineering design and architecture.\nPartner with engineers and business leaders to model future consumption and costs to drive strategic decision making.\nCollaborate on infrastructure demand planning across key infrastructure growth metrics.\nPartner with engineering to improve consumption and efficiency reporting across internal tooling.\n- Basic Qualifications -\n\nPh.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.\n7+ years of industry experience as an Applied or Data Scientist or equivalent (or 4+ years with Ph.D.).\n5+ years of industry experience working with Cloud, either at a hyperscaler or as a cloud customer.\nFamiliarity with cloud compute, storage, and data analytics concepts and products, demonstrated through either multiple years of experience on a team building cloud products, or managing the consumption of numerous cloud products, or through accreditation from numerous cloud certifications.\nDemonstrated experience mentoring and coaching junior analysts or peers, with ability to provide constructive feedback and support professional development.\nExcellent communication and collaboration skills: Able to lead initiatives across multiple areas and communicate findings with leadership and engineering teams.\nBackground in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl).\nAbility to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models.\nCoding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.\nFluency in MS Excel/Google Sheets for analysis and collaboration with finance teams.\n- Preferred Qualifications -\n\nExperience with cost optimization analysis & implementation, ideally for cloud spend or compute infrastructure.\nExperience in leading key technical projects and substantially influencing the scope and output of others.\nThought leadership to drive cross-functional projects from concept to production.\nExperience in contributing to performance optimization initiatives through experimentation.\nExperience with exploratory data analysis, statistical analysis, and model development.\n\nFor San Francisco, CA-based roles: The base salary range for this role is USD$211,000 per year - USD$234,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.","company":"Uber","rawCompany":"uber","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T13:28:48.865Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Infrastructure Efficiency Analyst","description":"About the Role\n\nAs an Infrastructure Analyst within the Cloud C.O.R.E team you will be a key driver of financial accountability and optimization across our cloud environments. You will play a critical role in cloud billing data analysis, forecasting, and the identification and impact analysis of engineering and financial optimizations. You will leverage your expertise in data analysis, machine learning, and engineering to drive insights, optimize our infrastructure, improve our forecasts, and deliver efficient growth for Uber. - What the Candidate Will Do -\n\nTranslate complex cloud consumption data into actionable insights for leadership and engineering.\nIdentify and track optimizations and realized savings.\nEstablish key price-performance metrics and partner with engineering to implement price-performance optimizations within production scaling.\nDefine and manage reporting of cloud consumption metrics and KPIs, ensuring transparency, accuracy, and accountability.\nEstablish consumption anomaly detection capabilities and reporting.\nPartner with engineering and capacity planning teams to optimize resource consumption decision making.\nSupport commitment strategies, ensuring commitment decisions that optimize spend and best serve the business and technical strategy.\nEmbed cloud consumption shift-left principles into engineering design and architecture.\nPartner with engineers and business leaders to model future consumption and costs to drive strategic decision making.\nCollaborate on infrastructure demand planning across key infrastructure growth metrics.\nPartner with engineering to improve consumption and efficiency reporting across internal tooling.\n- Basic Qualifications -\n\nPh.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.\n7+ years of industry experience as an Applied or Data Scientist or equivalent (or 4+ years with Ph.D.).\n5+ years of industry experience working with Cloud, either at a hyperscaler or as a cloud customer.\nFamiliarity with cloud compute, storage, and data analytics concepts and products, demonstrated through either multiple years of experience on a team building cloud products, or managing the consumption of numerous cloud products, or through accreditation from numerous cloud certifications.\nDemonstrated experience mentoring and coaching junior analysts or peers, with ability to provide constructive feedback and support professional development.\nExcellent communication and collaboration skills: Able to lead initiatives across multiple areas and communicate findings with leadership and engineering teams.\nBackground in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl).\nAbility to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models.\nCoding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.\nFluency in MS Excel/Google Sheets for analysis and collaboration with finance teams.\n- Preferred Qualifications -\n\nExperience with cost optimization analysis & implementation, ideally for cloud spend or compute infrastructure.\nExperience in leading key technical projects and substantially influencing the scope and output of others.\nThought leadership to drive cross-functional projects from concept to production.\nExperience in contributing to performance optimization initiatives through experimentation.\nExperience with exploratory data analysis, statistical analysis, and model development.\n\nFor San Francisco, CA-based roles: The base salary range for this role is USD$211,000 per year - USD$234,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.","datePosted":"2026-04-09T13:28:48.865Z","dateModified":"2026-04-09T13:28:48.865Z","hiringOrganization":{"@type":"Organization","name":"Uber","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b5617c8fff070d3fb9a493f5"},"url":"https://jobsearcher.com/jobs/b5617c8fff070d3fb9a493f5"}}