Lead, Operational Load Forecasting (Hybrid)

ERCOT; Taylor (TX); Hybrid; USD 132,000 - 182,000; Full time

Job summary

ERCOT is seeking an experienced professional to support operational and planning load forecasting for the Texas grid. You will analyze 0-to-11 day hourly forecasts, develop models, and monitor forecast performance to ensure reliable system operation.

Responsibilities include data quality checks, tool development, and collaboration with Operations to assess forecast risks and performance. A background in statistics, meteorology, or engineering with Python/R/SQL is preferred.

Qualifications

• Familiarity with wind and solar generation is preferred. Experience with load forecasting, weather-driven analytics, statistical or time-series modeling, large datasets, and data analysis tools such as Python, R, SQL, SAS, Excel, Power BI, Tableau, or similar tools is preferred.

Responsibilities

• Supports 0-to-11 day hourly and sub-hourly load forecast analyses.
• Develops forecasting models, tools, and procedures to monitor forecast performance.
• Analyzes historical load, weather, calendar, and operational data to validate and improve models.
• Maintains forecast performance metrics, dashboards, and recurring analyses.
• Provides guidance and training to less experienced analysts as required.
• Collaborates with Operations to communicate forecast changes, risks, and implications.

Skills

Wind & solar experience

Load forecasting

Weather analytics

Statistical / time-series modeling

Python

R

SQL

SAS

Excel

Power BI

Tableau

Education

Bachelor’s Degree: Statistics, Applied Mathematics, Engineering, or Meteorology

Master’s Degree: Statistics, Applied Mathematics, Engineering, or Meteorology

Equivalent combination of education and experience

Tools

Python

R

SQL

SAS

Excel

Power BI

Tableau

Job description

ERCOT is seeking an experienced professional to support operational and planning load forecasting for the Texas grid. You will analyze 0-to-11 day hourly forecasts, develop models, and monitor forecast performance to ensure reliable system operation.

Responsibilities include data quality checks, tool development, and collaboration with Operations to assess forecast risks and performance. A background in statistics, meteorology, or engineering with Python/R/SQL is preferred.