Also called: Load Forecasting Analyst
Predicts how much electricity people will use tomorrow, next year, and in 20 years.
You train a model on weather, holidays, and data center growth to forecast tomorrow's peak demand, then compare it with what actually happened.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Bachelor's degree (4-year), about 4 years after high school. Bachelor's in data science, statistics, or engineering; master's common.
Ways in: 4-year college, Graduate school, Self-taught. Training cost: $15k – $60k.
Majors to look at: Data Science, Statistics, Electrical Engineering.
Growing much faster than average (about 34% over 10 years).
Medium risk in 5 years, high in 10. AI forecasting tools and auto-ML now build load forecasts with little hand coding, shrinking entry roles.
Classes: AP Statistics, AP Computer Science, AP Calculus.
Official data: O*NET occupation 15-2051.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.