About the position The energy transition is, at its core, a data and architecture problem. Resurety is looking for a Senior Data Analyst to join our Power Markets team and contribute to the evolution of our price and carbon emission engine. In this role, you will operate at the intersection of research, engineering and product, supporting the strategy that helps the world’s largest clean energy buyers, sellers, and investors navigate a zero-carbon future. You will work alongside power market experts to increase the accuracy and commercial value of our forecasts, helping to build a scalable platform that defines how the market understands clean energy value. You will advance Resurety’s mission by transforming market research into scalable, high-fidelity forecasting tools, ensuring every insight is communicated with clarity and rigor through operational excellence.

Responsibilities

• Assist in the development and testing of REsurety’s fundamental and statistical power price models, helping to maintain the logic that drives our software products.
• Assist in managing the lifecycle of power market models, ensuring they stay up-to-date with shifting regulatory landscapes, evolving ISO/RTO market rules, and changing grid fundamentals.
• Support the integration of "Weather-Smart" data inputs and assumptions, ensuring our forecasts meet industry standards for accuracy through careful calibration.
• Work alongside research, engineering, and product teams with supervision to help transition technical research into scalable, modern modeling platforms.
• Help prepare model outputs and visualizations for internal and external stakeholders, learning to translate complex data into clear, actionable insights.
• Execute rigorous quality assurance processes and validate model results to ensure all outputs are accurate, reliable, and provide clear value to our customers.

Requirements

• 1- 4+ years of experience with power market fundamentals modeling software - e.g., PSO, PLEXOS, PROMOD, or equivalent frameworks.
• Experience using a programming language (Python, R, or SQL) to manipulate, analyze, and visualize data.
• Bachelor's or Graduate degree in a technical field such as Economics, Engineering, Mathematics, or Statistics.
• A strong understanding of the functioning of one or more North American wholesale electricity markets (CAISO, NYISO, ISO-NE, PJM, SPP, MISO, ERCOT).
• Excellent teamwork and presentation skills, with the ability to help bridge the gap between complex model outputs and commercial decision-making.

Nice-to-haves

• Experience with machine learning in an applied setting.
• Experience with capacity expansion modeling.
• Experience with fundamentals modeling, specifically in SPP, MISO, or CAISO.
• A passion for driving the adoption of clean energy.

Benefits

• annual bonus
• equity-based incentives