Scout Clean Energy
Senior Associate, Transmission Market Analysis
Boulder, Colorado, United States · Senior
No sponsorship$100k-$120kDetected 31 days ago
PythonSQLData AnalysisProject ManagementForecastingExcelM&ALeadershipCommunicationCollaborationProblem SolvingMicrosoft OfficeFinancial ModelingRenewable Energy
About the role
- This role will help shape the future of our projects by leveraging historical pricing data to inform future strategies, including scenarios where transmission reports are unavailable.
- As a critical driver behind our market analysis efforts, you will play a pivotal role in helping to shape the direction of Scout's greenfield development and acquisitions targets.
- You will report to the Director, Transmission Market Analysis.
Responsibilities
- Market Analysis, Forecasting, and Support: Analyze and forecast nodal pricing and broader market trends, utilizing historical data analysis ("backcasts") and future pricing predictions.
- New Project Development and Origination Support: Assist in identifying new sites by analyzing historical data using established methodologies for backcasting.
- Collaborate with third-party service providers to process historical data, integrating their insights to form comprehensive opinions on site viability.
- Structuring, Asset Management, M&A, and Financing Support: Assist with early-stage project analysis, providing historical and future pricing data for RFPs and bilateral arrangements.
- Develop models to forecast future covariance risk, allowing for better-informed decisions and reducing reliance on third-party studies.
- Support the M&A team with nodal analysis and pricing evaluations for existing projects, ensuring competitive pricing and risk assessment for new offtake agreements.
- Provide detailed market analysis and pricing forecasts to support M&A activities and collaborate with the financing team to assess market risks and opportunities.
- Cross-functional Collaboration: Work closely with transmission consultants and internal teams to analyze transmission reports, validate assumptions, and ensure accuracy.
- Manage relationships with external consultants like nFront and ICF to ensure the delivery of high-quality and relevant market studies.
- Organizational Fit: Strong project management, process development, and team-building skills.
Requirements
- Ideal candidate has 3 to 4 years of experience in the energy industry with significant experience in market analysis, price forecasting, or similar analytical role.
- The candidate must have established expertise in the power markets throughout the U.S. Minimum of 1 year experience with Security Constrained Economic Dispatch (SCED) modeling using tools like
- Bachelor's degree in in Engineering, Economics, Mathematics, Finance or a related field.
- Proficiency with market analysis resources (e.g. VelocitySuite, YesEnergy) and strong Excel skills.
Nice to have
- Strong experience in data mining and working with large datasets
- Programming skills preferred (e.g. Python, SQL, R) Excellent verbal and written communication skills, with the ability to present complex information clearly to both technical and non-technical audiences.
Skills
- Assist in implementation and use of advanced software tools for price forecasting and market analysis, such as PROMOD or EnCompass.
Compensation
- $100,000 - $120,000 depending on experience.
Benefits
- Core Competencies Proficiency with Microsoft Office, Excel, and Word Strong financial modelling skills, understanding of tax equity structures is a plus Strong verbal, written, and visual communication skills.
- Ability to concisely frame issues by providing context, analysis, recommendations and risk/benefit tradeoffs, both in written, verbal, and presentation format, to project teams and to senior management.
Company info
- High achievers who want to make a difference in this world and contribute to Scout's stated mission.
Visa & Work Authorization
- Authorized to work in the United States
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This listing is sourced directly from Scout Clean Energy's careers page and normalized into a canonical job model.