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Load Forecasting Analyst

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Puget Sound Energy
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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Remote and Hybrid Work Opportunities:
Hybrid (WA Based)

Puget Sound Energy is looking to grow our community with top talented individuals like you! With our rapidly growing, award winning energy efficiency programs, our pathway to an exciting and innovative future is now.

PSE'sResource Planning Analytic steam is looking for qualified candidates to fill anopenLoad Forecasting Analystposition!

Specific details regarding the work arrangements for this position will be discussed in further detail during the interview process.

Job Description

PSE's Load Forecasting team is highly-collaborative and passionate about using advanced analytics, data science, and diverse data sources to forecast how PSE's customers will use electricity and natural gas in the future as technology and energy policies are changing rapidly. Energy load forecasts provide the foundation for long-term financial planning, responsible energy supply and resource planning, and reliable infrastructure system planning.

This is an excellent opportunity to play an integral role within PSE to help us better serve the environment, our customers and the communities in which they live.

The ideal candidate for this position has a background in economics and/or forecast modeling who is intellectually curious and thrives in a dynamic environment to develop intelligence about energy usage trends, has demonstrated strong quantitative skills and enthusiasm for data, programming, and analysis. The ideal candidate will also have excellent communication skills, both written and oral, and interest and/or experience presenting insights using data visualization techniques as well as excellent interpersonal skills to help maintain a supportive, productive team environment.

Upholds the safety compliance standards inherent in PSE’s operating and/or field procedures related to work responsibilities. Promotes and supports a culture of total safety.

Demonstrates commitment to conduct business honestly, ethically and consistent with our core values and Code of Conduct. Ensures duties are performed in accordance with all regulatory compliance obligations.

Job Responsibilities
  • Assist senior staff in the development and running of econometric and statistical forecasting models and analytical frameworks.
  • Assist with development and maintenance of input and output databases necessary to perform long-term load forecasting analyses.
  • Extract data from various internal and external systems.
  • Develop code to conduct exploratory analysis, cleanse/massage, or aggregate data, and to automate work processes at the direction of senior staff.
  • Create data visualizations to derive meaningful insights.
  • Regularly run reports of forecast versus actuals and to track other intelligence.
  • Support development of written documents and presentations to help effectively communicate results of research and analyses.
  • Perform other duties as assigned.
Minimum Qualifications
  • Bachelor’s Degree in Business, Economics, Engineering, Finance, Math, or related field.
  • Five (5) years of relevant work experience involving performance of complex analysis or three (3) years of experience in an energy-related industry involving performance of complex analysis.
  • Experience building complex spreadsheets to analyze questions.
  • Demonstrated ability to be a supportive team member.
  • Solid written, interpersonal, and group communication skills.
Desired Qualifications
  • Master’s/PhD degree in economics, statistics, mathematics, data science or similar fields.
  • Experience in economic or energy-related forecasting, data science, energy efficiency evaluation or related field.
  • Knowledge of forecasting and econometric theory and applications.
  • Experience with statistical analyses and econometric modeling.
  • Demonstrated creative problem solving abilities.
  • Experience with databases and using database applications to support research and analytics.
  • Knowledge of energy forecasting tools such as Itron Metrix

    ND/LT and Forecast Manager, LoadSEER, and EViews.
  • Experience with SAS, SQL, R, Python or other data analytic programming tools.
  • Experience with data visualization and dashboard reporting software such as…
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