Conduct primary and secondary research on power demand from data centers, monitor regulatory filings and interconnection queues, build and audit financial Excel models, synthesize findings into concise briefs and data tables, support senior analysts on large projects, and use Enverus proprietary datasets (PRISM) to ground research.
Description
Research Associate, Utilities & AI Infrastructure
Why YOU want this position
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
The Utilities & AI Infrastructure team sits at the intersection of two of the most capital-intensive build-outs in the modern economy: the electrification of the US grid and the explosive growth of AI data-center demand. We produce intelligence products, financial models, and strategic research used across Enverus and by clients navigating this convergence. The work is fast, data-dense, and consequential.
Most research shops hand the hardest problems to the most senior person on the team and have everyone below execute . We do the opposite. Every analyst, including those at entry level, owns their projects end to end and pulls in senior teammates for guidance. That hands-on, problem-by-problem ownership is how you build the judgment to add real value for clients, and it's the single biggest reason people stay on this team.
Performance Objectives
Competitive Candidate Profile
Why this role
AI infrastructure is one of the most analytically underserved corners of energy right now. You'll have access to proprietary Enverus data most analysts can't touch, work on research that gets read at the executive level and build expertise in a space growing faster than almost anything else in the economy.
This role is eligible for: Variable Compensation
Research Associate, Utilities & AI Infrastructure
Why YOU want this position
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
The Utilities & AI Infrastructure team sits at the intersection of two of the most capital-intensive build-outs in the modern economy: the electrification of the US grid and the explosive growth of AI data-center demand. We produce intelligence products, financial models, and strategic research used across Enverus and by clients navigating this convergence. The work is fast, data-dense, and consequential.
Most research shops hand the hardest problems to the most senior person on the team and have everyone below execute . We do the opposite. Every analyst, including those at entry level, owns their projects end to end and pulls in senior teammates for guidance. That hands-on, problem-by-problem ownership is how you build the judgment to add real value for clients, and it's the single biggest reason people stay on this team.
Performance Objectives
- Build and maintain financial models tracking power-demand growth from hyperscaler and co-location data centers across ISO regions.
- Monitor utility filings, rate cases, interconnection queues, and capacity-expansion plans, and surface what matters for Enverus clients.
- Conduct primary research: earnings calls, investor days, regulatory dockets, and industry conferences.
- Synthesize findings into concise written briefs, data tables, and internal memos.
- Support senior analysts on large research projects, from data collection through publication.
- Work with Enverus proprietary datasets (PRISM and our market-intelligence platforms) to ground research in primary energy data.
Competitive Candidate Profile
- A clear communicator. You can turn a filing or earnings transcript into a tight, pointed summary, and explain it so a non-expert gets it.
- 0 to 3 years in energy, finance, consulting, or a research-intensive role; internship experience counts.
- Quantitative fluency: comfortable building and auditing Excel models.
- Genuine curiosity about power infrastructure, AI-hardware supply chains, or energy-transition dynamics.
- Care about getting the details right; you notice when the numbers don't tie.
- Familiarity with SQL, Python, or data tools is a plus, not a requirement.
- Prior exposure to utility regulation, PJM, ERCOT, or MISO market structure, or data-center real estate.
- Experience with the sell-side or buy-side equity-research process.
- You can form a view and back it up. We're hiring an analyst, not a summarizer.
Why this role
AI infrastructure is one of the most analytically underserved corners of energy right now. You'll have access to proprietary Enverus data most analysts can't touch, work on research that gets read at the executive level and build expertise in a space growing faster than almost anything else in the economy.
This role is eligible for: Variable Compensation
Similar Jobs at Enverus
Big Data • Information Technology • Software • Analytics • Energy
Support the Enablement GIS team by gathering, organizing, and QA/QC-ing spatial datasets for energy research. Perform basic digitizing and georeferencing, maintain proprietary and open-source GIS layers, and collaborate with data scientists, analysts, and developers while participating in team meetings and learning GIS workflows.
Top Skills:
Arcgis OnlineArcgis ProArcpyPythonSQL
Big Data • Information Technology • Software • Analytics • Energy
Conduct in-depth coverage of oil and gas plays, identify and validate market stories, produce concise defensible research, engage directly with clients, and collaborate with multidisciplinary teams to analyze assets, infrastructure, strategy, and valuation.
Top Skills:
Ai ToolsExcelGenerative Ai
Big Data • Information Technology • Software • Analytics • Energy
Conduct research on AI accelerator architectures and semiconductor supply chains to assess power, cooling, and infrastructure implications. Monitor data-center build-outs and industry disclosures, synthesize findings into written briefs and competitive-intelligence products, and ground analysis using Enverus energy datasets.
Top Skills:
AsicsChip PackagingGpu ClustersGpusHbmLiquid CoolingMemory BandwidthNetworking SiliconNetworking TopologiesPower DeliveryPower ElectronicsSignal IntegrityThermal ManagementTsmc Cowos
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

