Energy Forecaster​/Senior Energy Forecaster - Oahu, Maui, or Hawaii

Overview

Energy Forecaster / Senior Energy Forecaster - Oahu, Maui, or Hawaii Island

Date:
Jan 12, 2026

Location:

Honolulu, Hawaii (HI), US, 96814

Company: hawaiianel

Posting End Date:
This position will remain open until filled. Early applications are highly encouraged.

BRIEF POSTING

DESCRIPTION:

The P SF FORECASTING Department of the P INTEGRATED GRID PLANNING Division at Hawaiian Electric Company has 1 Management vacancy available. This position may be filled on Oahu, Maui, or Hawaii Island. This posting seeks to fill at either the Energy Forecaster or Senior Energy Forecaster; whichever level is most suited to the qualifications of the applying candidate.

• ENERGY FORECASTER:
  Participates in the energy planning and analytics efforts related to the development of the energy and demand forecasts for Oahu, Hawaii Island and Maui County grids to support strategic and operational planning initiatives. Provides technical support with expanded assignments in the Company s corporate planning initiatives and policies.

• Plans, designs, and provides substantive direction for developing the energy and demand forecast and planning initiatives that support strategic areas of focus for the Company. Develops load forecasts to support generation, transmission and distribution planning. Independently carries out complex assignments resulting in the development of new or improved techniques, procedures, and risk assessment.

• Plans, designs, develops, specifies, and coordinates analysis surrounding changes in the structure of the energy industry and anticipates resulting impacts on the Company s systems from external demand and supply side technologies. Identifies the need for and designs, coordinates, and implements studies to support models and framework for forecasting consumer demand, sales, and revenue. Performs hindsight metrics of forecast performance and makes recommendations to improve overall forecasting capabilities.

• Provides training as appropriate. Manages and coordinates planning work with operations, planning, finance, and other areas of the Company.

• Creates, develops, and/or delivers expert testimony, responses to informational requests, and other assignments supporting rate case and resource planning projects before various external agencies such as the Hawaii Public Utilities Commission, Public Advisory Groups, and various community groups. Assists with negotiations among the parties in the proceedings if settlement is a desired outcome.

• Develops, modifies, tests, implements, documents, and operates complex technical statistical/scientific/engineering algorithms supporting energy and demand modeling including load profiles by end use, class of service, system, or other defined user segments.

• Participates in Company emergency response activities as assigned, including any activities required to prepare for such emergency response.

BASIC QUALIFICATIONS

• Knowledge Requirements

• Bachelor’s degree in a quantitative analytical discipline such as physical sciences, engineering, data science, mathematics, statistics, economics, finance or equivalent experience may be considered. Master’s degree or MBA preferred. Thorough knowledge of utility economic analysis methods including, but not limited to, derivation of financial parameters, calculation of revenue requirements, and the ability to perform various economic analyses.

• Working knowledge of trends in customer behavior and market conditions in the electric utility industry. Has a good understanding of factors that influence customer usage across different customer segments.

• Thorough knowledge of utility economic analysis, rates and tariffs, scenario planning, clean energy corporate goals and existing and initiatives.

• Thorough knowledge of federal and state regulations related to corporate initiatives and governing the adoption of customer-sited equipment.

• Thorough knowledge of engineering principles, theories, and cost analysis as they apply to basic power system analysis, customer-site renewable, energy efficient and emerging technologies.

• Thorough knowledge of statistical analysis methods (e.g., regression, ARIMA, descriptive and inferential…