Senior Utility Load Forecast & Data Analytics Lead

Central Electric Power Cooperative Inc; Columbia (SC); On-site; USD 85,000 - 110,000; Full time

Job summary

Central Electric Power Cooperative Inc in Columbia, SC is seeking a forecasting analyst to provide a wide range of forecasting and business planning support. You will manage databases, develop delivery point forecasts, and deliver reports to stakeholders.

The role requires strong quantitative analysis, econometric skills, and proficiency in Excel, with experience in utility load forecasting and regression models.

Qualifications

• Bachelor’s degree in business, economics, engineering, or mathematics.
• 5 years prior experience in utility load forecasting.
• Experience with linear regression models.
• Strong Excel skills.

Responsibilities

• Prepares Central’s load forecast using econometric analysis and presents the forecast to stakeholders.
• Updates annually substation-level forecasts and ensures alignment with transmission plans.
• Creates/ reviews databases for annual system load forecast and provides data to wholesale suppliers.
• Maintains the CoopData database used for load forecast data and planning.
• Monitors Reserve Margin Analysis and capacity status of the Joint System.
• Coordinates information sharing between wholesale suppliers and Central staff.
• Provides analytical support to Central and Member Cooperatives.
• Ensures forecasting databases are maintained for all projects.

Skills

Quantitative analysis

Formal presentation

Technical writing

Deadline-driven

Collaborative skills

Excel proficiency

Econometrics

Education

Bachelor’s degree in business, economics, engineering, or mathematics

Tools

SAE forecasting

Itron Metrix

Job description

Central Electric Power Cooperative Inc in Columbia, SC is seeking a forecasting analyst to provide a wide range of forecasting and business planning support. You will manage databases, develop delivery point forecasts, and deliver reports to stakeholders.

The role requires strong quantitative analysis, econometric skills, and proficiency in Excel, with experience in utility load forecasting and regression models.