Position SummaryAs a Principal Analyst, Power Markets Modeler, you will serve as a high-level subject matter expert and strategic lead in the development of our asset-level forecasts. You will dive deep into North American power market fundamentals and regulatory trends to deliver sophisticated insights into renewable, thermal, and transmission assets. In this role, you will not only lead complex modeling projects but also shape the methodology and technical standards that drive our data platform forward.
Position Details- Salary range: $155,000 - $185,000
- Location: Hybrid - Boston (Newton), MA
- Full-time
- Hybrid - 2 days in the office
- Reporting to: Director, Energy Modeling
- Travel requirements: Occasional travel as needed for client or team collaboration
Primary Responsibilities- Develop Grid Models: Build and maintain forecasts of the North American electric grid using in-house tools and proprietary procedures.
- Market Monitoring: Track trends in renewable energy, battery storage, energy policy, and the retirement of conventional generation.
- Data Automation: Leverage technical skills to automate the ingestion of input datasets and the analysis of model results.
- Benchmarking & Testing: Plan and execute benchmarking to test model accuracy and drive continuous improvement in future modeling.
- Quantitative Analysis: Analyze external US power grid data spanning environmental, financial, and operational metrics.
- Client Collaboration: Serve as a subject matter expert to explain market models and scenarios to clients and success teams.
- Model Ownership: Own the evolution of your models over time, ensuring they adapt to shifting market fundamentals.
Minimum Qualifications- Bachelor's degree in engineering, mathematics, or another quantitative field.
- Strong data analysis skills with hands-on experience using Python, R, or similar languages.
- Foundational knowledge of North American power market fundamentals and regulatory trends.
- Academic understanding of optimization modeling (constraints/shadow pricing) and microeconomics.
- Basic understanding of elementary finance, including net present value (NPV) calculations.
- Strong communication skills with the ability to explain complex findings to diverse teams.
- Ability to thrive in a fast-paced, dynamic environment.
Key Competencies- Advanced Degree: Master's or PhD in engineering, mathematics, or economics.
- Simulation Expertise: Prior experience with power system models like EnCompass, ENELYTIX, AURORA, PLEXOS, or PROMOD.
- Industry Experience: Previous work in power markets or renewable energy.
- Energy Industry Knowledge: Deep understanding of ISO/RTO market data, including pricing and congestion.
- Technical Execution: Proficiency in econometrics, statistics, and manipulating data via SQL or Python.
- Problem Solving: Ability to apply structured thinking to break down complex grid challenges.
- Systems Thinking: Understanding how data, technology, and market processes interact across the grid.
At Yes Energy, we value connecting directly with candidates. We kindly ask that third-party recruiters and agencies not submit resumes, as we are not open to external recruiting partnerships.Compensation and BenefitsWe offer highly competitive salaries and real bonuses that are achievable and that you can impact. Our benefits package is also very competitive, including medical insurance, a 401 (k) Plan with matching, flexible vacation, and flexible work schedules. Yes Energy encourages and funds investment in both formal and informal professional development.
At Yes Energy, we are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
In accordance with Colorado law, the range provided is Yes Energy's reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as location, experience, knowledge, skills, and abilities.
