Position SummaryAs a Senior Analyst, Power Markets Modeler, you will be a lead contributor in developing our highly accurate, asset-level forecasts and models. You will conduct deep research into North American power market fundamentals and regulatory trends to provide critical insights into renewable, thermal, and high-voltage transmission assets. You will serve as a mentor to junior team members and a technical bridge between complex grid data and strategic client decision-making.
Position Details- Salary range: $110,000 - $140,000
- 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- Model Leadership: Lead the development and maintenance of North American electric grid forecasts using proprietary tools.
- Advanced Research: Perform in-depth research on renewable energy trends, battery storage, and evolving energy policy.
- Strategic Analysis: Execute quantitative analysis of US power grid data, connecting environmental and financial metrics to market outcomes.
- Technical Optimization: Automate data workflows and improve model ingestion processes using Python or similar scripting.
- Mentorship: Provide guidance and training to junior analysts, fostering technical growth and model accuracy across the team.
- Stakeholder Engagement: Act as a subject matter expert for clients, explaining complex model results and market scenarios.
- Continuous Improvement: Design and lead benchmarking initiatives to rigorously test model performance and drive architectural updates.
Minimum Qualifications- Bachelor's degree in engineering, mathematics, or a quantitative field.
- Strong technical execution using Python, R, or SQL for data manipulation and automation.
- In-depth understanding of North American power market fundamentals and energy economics.
- Firm grasp of optimization modeling (constraints/shadow pricing) and microeconomics (supply/demand).
- Experience with financial modeling, including net present value (NPV) calculations.
- Superior communication skills with the ability to communicate complex findings to diverse audiences.
- Excellent prioritization and time management skills in a fast-paced environment.
Key Competencies- Systems Thinking: Ability to view the grid holistically, understanding dependencies between technology, data, and market processes.
- Advanced Degree: Master's or PhD in a relevant quantitative discipline.
- Simulation Mastery: Significant experience with power system models like ENELYTIX, AURORA, PLEXOS, or PROMOD.
- Market Data Expertise: Deep knowledge of ISO/RTO market data, including nodal pricing and congestion.
- Problem Solving: Applies structured thinking to break down systemic challenges and design durable solutions.
- Econometrics & Statistics: Proven ability to apply rigorous statistical techniques to analyze and forecast economic data.
- Strategic Influence: Leads through expertise and initiative, driving decisions forward beyond their immediate role.
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.
