Daniel Finn-Foley
Energy transition and storage specialist
- Role
- Director of Energy Storage, Market Intelligence at Intertek Cea
- Location
- Providence, RI, US
- LinkedIn followers
- 500 followers
About Daniel Finn-Foley
Dan is the Director of Energy Storage for the Market Intelligence team at Intertek CEA where he provides strategic advising to clients across the energy storage value chain. Dan creates high-impact, quick-analysis reports and insights for clients to help them follow the fast-moving energy storage market and make smarter decisions more quickly.Dan has more than 15 years of experience in the energy space as a researcher, consultant, and analyst. He previously was a subject matter expert at PA Consulting, and was the Head of Energy Storage at Wood Mackenzie, formerly GTM Research, where he directed the global energy storage service. Dan is a well-known subject matter expert on stationary storage and the energy transition and has spoken at dozens of conferences and events.Dan holds an MS in mechanical and industrial engineering from the University of Massachusetts - Amherst Wind Energy Center and a BS in mathematics and physics from Brown University.
Experience
Director of Energy Storage, Market Intelligence
Jul 2024 — Present · Providence, RI, US
Education
UMass Amherst Wind Energy Center
Master's degree, Mechanical and Industrial Engineering
Brown University
Bachelor of Science, Mathematics-Physics
Skills
- Public Speaking
- Strategy
- Research
- Retail Energy Markets
- Energy
- Project Management
- Wind Turbines
- Analysis
- Physics
- Simulations
- Market Analysis
- Environmental Impact Assessment
- Energy Storage
- Business Strategy
- Marketing Strategy
- Event Planning
- Client Relations
- Due Diligence
- Event Management
- Solar Energy
- Management Consulting
- Master Punsmanship
- Consulting
- Panel Moderator
- Engineering
- Renewable Energy
- Workshop Facilitation
- Wind
- Market Research
- Report Writing
- Sponsorship Management
- Leadership
- Energy Policy
- Team Building
- Management
- Data Analysis
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