Bachelor's degree in Electrical Engineering, Economics, or related quantitative field
1-3 years of experience with transmission modeling tools like Dayzer
Proficiency in at least one programming language (Python, Matlab, R)
Foundational knowledge of US bulk power and LMP-based ISO markets
Advanced skills in MS Excel; SQL and BI tool experience preferred
Strong quantitative analysis skills with attention to detail
Effective communication abilities for conveying technical insights
Responsibilities
Support maintenance and accuracy of transmission network models
Operate Dayzer or similar tools for nodal LMP forecasting
Analyze model outputs to assess congestion and validate forecasts
Collaborate with trading teams for ad-hoc sensitivity analysis
Prepare price forecast presentations for management
Respond to data and analysis requests from various business units
Provide quantitative insights for project decisions and trading strategies
Benefits
Opportunity to work with a leading team in renewable energy
Gain hands-on experience with advanced modeling tools
Engage in cross-functional collaboration across departments
Contribute to critical market valuation and decision-making processes
Work in a dynamic, fast-paced environment
Full Job Description
Transmission Analyst
Location: New York City
Working within the Commercial Analytics team, the Transmission Analyst is responsible for the daily execution and maintenance of software used for modeling transmission basis. This role supports the valuation of renewable generation assets and complex power market transactions across North America. The Transmission Analyst will focus on data integrity, nodal price forecasting, and providing analytical support to the trading and investment teams, reporting directly to the Vice President, Commercial Operations.
Responsibilities
Data & Model Management: Support the maintenance of transmission network models, ensuring all input data is accurate, up to date, and reflective of current grid conditions.
Software Execution: Operate Dayzer (or similar transmission modeling tools) to produce reliable nodal LMP forecasts across multiple ISOs for both short-term and long-term scenarios.
Analytical Support: Analyze model outputs to identify transmission congestion impacts and validate the accuracy of price forecasts.
Cross-Functional Collaboration: Work closely with trading teams to run ad-hoc sensitivity cases and provide data-driven insights into market dynamics.
Reporting: Assist in the preparation of regional price forecast presentations for management, highlighting key congestion drivers and market trends.
Inter-Entity Support: Respond to data and analysis requests from various business units, ensuring high-quality technical support across the organization.
Decision Support: Provide quantitative analysis of short-term transmission dynamics and long-term trends to assist in project decision-making and trading strategies.
Qualifications
Analytical Rigor: Strong quantitative skills with a high degree of attention to detail and accuracy.
Adaptability: Ability to perform effectively in a dynamic, fast-paced environment with evolving priorities.
Communication: Clear written and oral communication skills; able to translate technical data into actionable insights.
Organization: Well-organized and capable of managing multiple objectives and data streams simultaneously.
Initiative: A self-motivated learner eager to deepen their understanding of North American power markets.
Required Experience
Education: Bachelor's degree in Electrical Engineering, Economics, or a related quantitative discipline.
Technical Stack: Proficiency in at least one programming language (Python, Matlab, or R) is required.
Modeling Expertise:1-3 years of experience utilizing Dayzer, PLEXOS, PROMOD, or a similar transmission modeling tool.
Market Knowledge: Foundational understanding of the US bulk power system and LMP-based ISO markets.
Data Tools: Advanced knowledge of MS Excel; experience with SQL or Business Intelligence tools (Tableau/Power BI) is preferred.
