Yes Energy

Yes Energy

Principal Analyst, Power Markets Modeler

Newton, Massachusetts, United States · Principal · Full-time

Sponsorship not specified$155k-$185kDetected 11 days ago
PythonSQLData AnalysisStatisticsCommunicationCollaborationProblem SolvingRenewable Energy

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Market Monitoring: Track trends in renewable energy, battery storage, energy policy, and the retirement of conventional generation.
  • Quantitative Analysis: Analyze external US power grid data spanning environmental, financial, and operational metrics.

Responsibilities

  • 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.
  • Benchmarking & Testing: Plan and execute benchmarking to test model accuracy and drive continuous improvement in future modeling.
  • Model Ownership: Own the evolution of your models over time, ensuring they adapt to shifting market fundamentals.
  • We like to listen, learn, and develop our solutions in line with their needs.
  • At Yes Energy, we are dedicated to building a diverse, inclusive, and authentic workplace.

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.
  • 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.

Skills

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

Compensation

  • 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.
  • $155,000 - $185,000

Benefits

  • Our benefits package is also very competitive, including medical insurance, a 401 (k) Plan with matching, flexible vacation, and flexible work schedules.

Company info

  • Be a part of our successful, growing business during international transformation.
  • 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.
  • We are constantly growing.

Equal opportunity

  • 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.
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