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Principal Analyst – Large Loads
Wood Mackenzie. Author research reports and one-off insights on regulatory changes, market insights, and technology advancements .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Infrastructure, Data Center Technology, and Market Analysis, with a strong ability to translate complex technical and commercial factors into actionable insights and client-facing deliverables. Proven experience in authoring research reports and collaborating with cross-functional teams to support data-driven decision-making.
Highest-signal resume keywords
AI Infrastructure ExpertiseData Center Technology KnowledgeResearch Report AuthoringClient-Facing Analysis ExperienceProject Management Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Center TechnologyAI InfrastructureMarket AnalysisForecastingData Requirements TranslationTechnical WritingPower Infrastructure KnowledgeSiting RequirementsCompute Demand AnalysisLarge Electricity Loads
Soft Skills
Excellent Communication SkillsStrong Organizational SkillsProject Management Skills
Tools & Technologies
AI ToolsData Analysis Tools
Industry Keywords
Power SectorEnergy SupplyMarket InsightsRegulatory ChangesClient EngagementStakeholder ManagementConsulting Engagements
About the role
Key responsibilities & impact- Author research reports and one-off insights on regulatory changes, market insights, and technology advancements
- Contribute to long-term demand forecast assumptions
- Serve as subject matter expert on data center technology, policy, siting, and energy supply for large loads
- Provide technical and market context to product and data teams
- Serve as the team’s expert on AI infrastructure, compute trends, DC vs. AC power architecture, and data center demand drivers
- Participate in customer and client conversations to gather feedback, use cases, and data requirements
- Represent Wood Mackenzie research in product-facing conversations
- Guide and QA data analysts’ and data scientists’ work classifying, extracting, and vetting large-load data
- Support Sales and Marketing in client conversations, presentations, and internal webinars
- Represent Wood Mackenzie at client meetings, conferences, and other offices
- Support consulting engagements related to large loads
Requirements
What you’ll need- 7+ years of industry or research experience in the power sector, with substantial, recent, hands-on exposure to data centers or other large electricity loads
- Track record of authoring research or client-facing analysis (reports, forecasts, or similar)
- Demonstrated expertise in AI infrastructure: compute, chip types, training vs. inference workloads, compute demand translated into power and siting requirements, and DC vs. AC power infrastructure
- Knowledge of technical, commercial, and policy factors driving data center demand growth
- Experience translating market or customer needs into product or data requirements
- Experience with direct client- or stakeholder-facing work
- Ability to partner with product, data science, or other non-research teams in iterative workflows
- Bachelor's or Master's degree, preferably in engineering, energy, economics, finance, or policy
- Excellent written and oral communication skills
- Strong organizational and project management skills
- Ability to leverage AI tools while maintaining correctness of deliverables