Fire Behavior Analyst - Oahu

Job Function

Leverages advanced data science methodologies to assess and predict fire risk across Hawaiian Electric’s service territories. Develops models integrating weather, fuel load, and environmental data to assess wildfire risks and develop mitigation strategies. Provides actionable insights for infrastructure protection, emergency response planning, and long‑term grid resilience. Supports operational decision‑making through predictive analytics and geospatial intelligence.

• Fire Behavior Modeling and Planning
  • Designs and implements computational models for fire risk prediction using weather, climate, and environmental data.
  • Utilizes and manages wildfire modeling tools to produce wildfire spread predictions and scenario analyses.
  • Collaborates with meteorologists, field operations, and other teams to assess wildfire risk based on conditions and other environmental factors.
  • Advises on infrastructure protection measures, including underground lines, fire‑resistant materials, and vegetation management.
  • Develops rapid response strategies and reduction projects, including Public Safety Power Shutoffs (PSPS) in high‑risk areas.
  • Monitors and analyzes GIS data for wildfire tracking and risk assessment.
  • Supports wildfire mitigation planning and coordination with operational teams.
  • Prepares reports on fuel conditions, risk assessments, and mitigation activities. Presents findings to stakeholders and management.
• Fire Data Analysis
  • Analyzes large datasets related to fire risk, grid infrastructure, and environmental conditions.
  • Conducts fieldwork to collect samples from various locations, including forests, grasslands, and urban interfaces.
  • Analyzes collected samples to determine moisture content, fuel load, and other critical parameters that influence wildfire behavior.
  • M sustains accurate records of sample data and analysis results. Utilizes GIS and other data management tools to map and track fuel conditions.
  • Supports fire investigations with data‑driven insights.
  • Develops dashboards, tools, and visualizations to inform leadership and guide strategic decisions.
  • Prepares and delivers presentations to senior management.
  • Provides internal training and support to stakeholders on fire data analytics.
• Emergency Response Support
  • Provides analytical support during wildfire events and other emergencies.
  • Participates in Company emergency response activities as assigned, including any activities required to prepare for such emergency response.

• Bachelor’s degree in forestry, environmental science, fire science, engineering, or a related field.
• Experience with wildfire behavior modeling.
• Proficiency in GIS and data management tools and data libraries.
• Knowledge of Python and SQL preferred.
• Familiarity with data governance and industry best practices.
• Successful National Wildfire Coordinating Group (NWCG) training course completion of S‑390, S‑482, S‑495, S‑490, S‑491, or S‑590 preferred.

• Ability to adapt in a fast‑paced, dynamic environment.
• Skilled in translating complex data into actionable insights and visualizations.
• Strong analytical, conceptual, and administrative capabilities.
• Effective cross‑functional collaboration and stakeholder engagement.
• Excellent written, verbal, and presentation skills.
• High emotional intelligence and discretion in handling sensitive issues.
• Must have or be able to qualify for a State of Hawaii driver’s license.

• Several (3‑5) years wildfire mitigation, wildfire behavior modeling, wildfire planning, or wildfire mitigation program management.

Honolulu – Oahu

The hiring range for the Fire Behavior Analyst (Req ) position is $87,400.00 to $.

Hawaiian Electric Companies is an equal opportunity employer, including disability and protected veteran status. Hawaiian Electric Companies complies with all applicable laws, including Title I of the Americans with Disabilities Act. Any request for reasonable accommodation needed during the application process should be communicated by the candidate to the HR Service Center at .