Data Center Energy Analyst
CoreWeaveLivingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA$75k – $100kPosted 15 April 2026
Job Description
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com .
What You’ll Do:
We are seeking a Data Center Energy Analyst to support energy data management, analysis, and forecasting across a rapidly expanding data center portfolio. As demand for AI and high-performance compute accelerates, energy cost, usage, and forecasting accuracy are increasingly critical to operational and financial decision-making.
About the Role:
This role sits within the Portfolio Operations organization, operating at the intersection of Data Center Operations, Finance, and external energy partners. You will partner closely with internal stakeholders and third-party providers to ensure the accuracy and integrity of energy data, support forecasting and accrual processes, and build the analytical foundation required to scale our data center portfolio efficiently.
This is a high-impact opportunity to join a fast-growing team early and help establish scalable energy data, reporting, and operational processes critical to CoreWeave’s continued growth.
In this role, you will:
Own the end-to-end collection, validation, and analysis of energy usage and cost data across the data center portfolio
Partner with data center providers, utilities, and third-party energy partners (e.g., Arcadia) to obtain billing, interval usage, and rate data, resolving discrepancies and ensuring data integrity
Analyze historical energy usage and forecast future energy costs using third-party platforms and internal tools Support monthly accruals and close processes by providing accurate energy data and analytical insights to Finance and Accounting teams Load, reconcile, and normalize interval energy data across enterprise systems and internal data platforms Collaborate with Data Center Operations and site teams to interpret energy data in operational context and support standardized reporting and dashboards for leadership
Who You Are:
3+ years experience working with energy usage, utility data, or power cost analysis
Strong background in data analysis, including collecting, cleaning, and interpreting large datasets
Proficiency in Excel and/or Google Sheets, including analytical modeling and data validation
Experience with forecasting, planning, or trend analysis Ability to create clear, structured reporting packages for operational and financial stakeholders
Comfortable working cross-functionally and with external partners in a fast-paced environment
Preferred:
Experience supporting data center, hyperscale, or large-scale infrastructure operations is HIGHLY preferred
Familiarity with interval meter data, power pricing structures, and utility billing
Experience with data platforms, BI tools, or scripting languages (e.g., SQL, Python) Prior experience working with third-party energy management platforms (e.g., Arcadia)
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get s ... (truncated, view full listing at source)
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