Senior Electric Vehicle Load Forecasting Analyst

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's Resource Planning Analytics team is looking for qualified candidates to fill an open Senior Electric Vehicle Load Forecasting Analyst position!

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

Job Description

This position is focused on transportation electrification analysis and forecasting at Puget Sound Energy (PSE). The role serves as a critical link between transportation electrification trends and PSE's business planning processes, requiring deep understanding of business activities, coordination and intelligence gathering across multiple PSE departments, and quantitative skills to develop queries and models that support the understanding of transportation electrification trends in PSE’s service area. 

 

The position has two main analytical responsibilities:

1. Current Impact Analysis - Understanding how transportation electrification is currently affecting PSE's customer growth and electrical load
2. Future Impact Forecasting - Projecting how transportation electrification will impact PSE's customer growth and load in the future, providing essential inputs for PSE's load forecasting models

 

The information and processes developed by this position directly support PSE's load forecasting function, which in turn enables other critical long-term planning functions including Resource Planning, Financial Planning, System Planning and Rates & Regulatory.

 

This role requires coordination among multiple groups to either utilize existing data or develop new processes to track the impacts of PSE's transportation electrification activities.

 

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

• Plans, develops interdepartmental consensus on, and performs long-term resource analysis using models such as Aurora, Power World, Sendout, PSM, etc.
• Plans, develops interdepartmental consensus on, builds, and performs long-term resource analysis using spreadsheets.
• Develops input databases necessary to perform long-term resource planning analysis.
• Identifies and develops means to address critical energy policy issues that may affect the Company’s long-term resource strategy.
• Serves as task lead for preparation of financial forecaster related to revenue requirements, operating expenses, capital expenditures, EBITDA, net income for resource acquisition and integration candidates.
• Researches energy industry issues and summarizes implications.
• Performs long-term resource analysis to support resource acquisitions.
• Effectively communicates results of research and analyses both written and in presentations.
• Works with external stakeholders to develop consensus around resource planning issues and to effectively communicate IRP and/or acquisition issues.
• Monitors energy load and supply trends and developments at the local, state, regional and national levels, and incorporates that data into the models as necessary.
• Creates communication materials, such as PowerPoint slides, charts, etc..
• Performs other duties as assigned.

Minimum Qualifications

• Bachelor’s Degree in Business, Economics, Engineering, Finance, Math, or related field.
• Seven (7) years of relevant work experience, including five (5) years of experience in an energy related industry involving performance of complex analysis.
• Experience building complex spreadsheets to analyze questions.
• Demonstrated ability to be supportive team member.
• Solid written, interpersonal, and group communication skills.

Desired Qualifications

• Ph.D. or master’s degree in business, economics, engineering, finance, mathematics, or related field.
• Experience in economic or energy-related forecasting, data science, energy efficiency evaluation or related field.
• Demonstrated experience with statistical analyses, forecasting and econometric theory.
• Experience with SAS, SQL, R, Python or other data analytic programming tools.
• Experience with SAP BW, SAP HANA, PI.