Graduate Subsea Engineer
Wood
PythonVBA
Data Analyst, Clean Energy Modeling
S&P Global
full-time
Posted on:
Origin: • 🇲🇽 Mexico
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
PythonVBA
About the role
- Support the development, maintenance, and continuous improvement of Global cost models for low carbon technologies.
- Support broader modelling initiatives for the Technologies and Supply Chain team with the Energy Transition, Sustainability and Services (ETSS) team.
- Collaborate with a cross-functional team to develop more granular and interactive modelling tools.
- Present findings and strategic insights to senior leadership, project teams, and clients in a clear, actionable manner.
- Stay up to date with energy technology trends, cost drivers, and market dynamics to inform model updates.
- Produce highly optimized models that will be able to improve the cost analysis comparison done by the team to support the critical business decisions of our customers.
Requirements
- At least 2 years of relevant experience
- Advanced knowledge of the clean energy technology industry
- Strong modeling skills
- Prior experience of working in a research analyst role is highly valued
- Bachelor's degree in engineering, Economics, Finance, or a related field
- Fluent in English and Spanish
- 2+ years of experience in cost modelling, energy systems analysis, or financial modelling within the energy sector
- Demonstrated expertise in calculating levelized costs and other financial modelling methodologies
- Experience using modelling in Python, excel VBA, power query and data visualization tools
- Strong analytical, quantitative, and problem-solving skills
- Excellent communication and leadership skills
- Ability to work across multidisciplinary teams and effectively integrate team feedback
- CV IN ENGLISH
