Description
econometric modeling
database management
data extraction
data cleaning
data visualization
forecast reporting
The Load Forecasting team leverages advanced analytics, data science, and diverse data sources to predict future electricity and natural gas usage, providing the foundation for long‑term financial planning, reliable supply, resource allocation, and infrastructure system planning.
- Assist senior staff in developing and running econometric and statistical forecasting models.
- Build and maintain input and output databases for long‑term load forecasting analyses.
- Extract data from internal and external systems and develop code for data cleaning, aggregation, and automation.
- Create data visualizations and dashboards to derive insights and communicate results.
- Generate regular reports comparing forecasts versus actuals and track key intelligence.
- Support preparation of written documents and presentations summarizing research findings.
Requirements
bachelor's
5 years
python
tableau
excel
communication
Puget Sound Energy is seeking talented individuals to join its growing community and help expand its award‑winning energy efficiency programs, positioning the company for an exciting and innovative future.
The ideal candidate has a background in economics or forecast modeling, strong quantitative and programming abilities, excellent written and oral communication skills, and experience presenting insights through data visualizations while contributing to a collaborative team environment.
- Hold a Bachelor’s degree in Business, Economics, Engineering, Finance, Math, or a related field.
- Possess five years of complex analytical experience (or three years in an energy‑related analytical role).
- Demonstrated ability to work collaboratively with strong written and interpersonal communication skills.
- Desired: Master’s or PhD in economics, statistics, mathematics, data science, or a related field.
- Desired: Experience with economic or energy forecasting, econometric modeling, and data‑science tools such as SAS, SQL, R, or Python.
- Desired: Proficiency with forecasting tools like Itron MetrixND/LT, LoadSEER, EViews, and visualization software such as Tableau or Power BI.
- Desired: Advanced Excel skills and familiarity with Microsoft Office suite and SAP data platforms.
Benefits
PSE offers a competitive total‑rewards package, including a salary range of $82,000 – $136,300, performance‑based incentive bonuses, comprehensive medical, dental, and vision coverage, retirement plans, paid time off, and opportunities for professional growth.
Training + Development
Information not given or found
