Principal Analyst, Power Markets Modeler

Yes Energy•Newton, MA

13d•$155,000 - $185,000•Hybrid

About The Position

Join the Market Leader in Electric Power Data and Analytics Solutions. The electrical grid is the largest and most complicated machine ever built. Yes Energy’s industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It’s both challenging work and work with a purpose. Be a part of our successful, growing business during international transformation.

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 EnCompass, 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.