Analyst, Power Markets Modeler

Yes Energy•Newton, MA

22h•Hybrid

About The Position

As an Analyst, Power Markets Modeler, you will play a key role in developing our differentiated asset-level forecasts and models. You will research North American power market fundamentals and regulatory trends to provide accurate, granular insights into renewable, thermal, and high-voltage transmission assets. Working within a multi-functional collaborative team, you will bridge the gap between complex power grid data and actionable client insights.

Requirements

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

Nice To Haves

Master's or PhD in engineering, mathematics, or economics.
Prior experience with power system models like ENELYTIX, AURORA, PLEXOS, or PROMOD.
Previous work in power markets or renewable energy.
Deep understanding of ISO/RTO market data, including pricing and congestion.
Proficiency in econometrics, statistics, and manipulating data via SQL or Python.
Ability to apply structured thinking to break down complex grid challenges.
Understanding how data, technology, and market processes interact across the grid.

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.