Yes Energy

Analyst, Power Markets Modeler

Newton, Massachusetts, United States · Full-time

Sponsorship not specified$90k-$110kDetected 1 day ago

PythonSQLData AnalysisStatisticsResearchCommunicationCollaborationProblem SolvingRenewable Energy

About the role

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.
Market Monitoring: Track trends in renewable energy, battery storage, energy policy, and the retirement of conventional generation.

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.
As an Analyst, Power Markets Modeler, you will play a key role in developing our differentiated asset-level forecasts and models.
Plan and execute benchmarking to test model accuracy and drive continuous improvement in future modeling.
Own the evolution of your models over time, ensuring they adapt to shifting market fundamentals.
Benchmarking & Testing: Plan and execute benchmarking to test model accuracy and drive continuous improvement in future modeling.
At Yes Energy, we are dedicated to building a diverse, inclusive, and authentic workplace.

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.
Strong communication skills with the ability to explain complex findings to diverse teams.
Ability to thrive in a fast-paced, dynamic environment
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.
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.

Leverage technical skills to automate the ingestion of input datasets and the analysis of model results.
Data Automation: Leverage technical skills to automate the ingestion of input datasets and the analysis of model results.

In accordance with Colorado law, the range provided is Yes Energy's reasonable estimate of the base compensation for this role.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
$90,000 - $110,000

Track trends in renewable energy, battery storage, energy policy, and the retirement of conventional generation.
Our benefits package is also very competitive, including medical insurance, a 401 (k) Plan with matching, flexible vacation, and flexible work schedules.

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.
At Yes Energy, we care about saying "Yes" to customers.
We think about customers as business partners, and when we help them be more successful … we are more successful, too.
Around the office, our culture is driven by some pretty fundamental values that we're proud of:
We are "high standards people" who combine passion and pride with hard work and rewards of all kinds-- in an ethic that is consistent across the company.
Be a part of our successful, growing business during international transformation.

Yes Energy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.

This listing is sourced directly from Yes Energy's careers page and normalized into a canonical job model.