Renewable Cost Analyst
Wood Mackenzie
- Location
- Boston, MA
- Work style
- On-site
- Job type
- Full time
- Posted
- Nov 5
- 2 days ago
Career path
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About the company
Wood Mackenzie
Information services · 1,001 to 5,000 employees
Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape. For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments. Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected. By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe. This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead.
What you'll do
- Serve as a subject matter expert on renewable costs to clients
- Analyze market events influencing capital and O&M costs for renewable assets
- Work with researchers to ensure costs published through research flow into RACM
- Collect, clean, and analyze proprietary datasets for the RACM product line
- Develop and implement data pipelines and workflows
- Perform quality assurance testing on new features prior to release
- Deploy AI to automate complex data workflows
- Contribute to market reports on renewable system costs and technology trends
What you need
- Bachelor’s degree in Data Science, Statistics, Economics, Engineering or a related field
- Experience in the renewables industry, focused on costs and supply chains
- Strong understanding of renewable systems and major cost components
- Advanced in Microsoft Excel, Python, R, SQL, and AI assistants
- Demonstrated success collaborating with cross-functional teams
- Exceptional communication and interpersonal skills
- Experience in the O&M space (preferred)
- Experience designing and implementing data pipelines and ETL workflows (preferred)
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