Requisition ID: 20579
SummaryThe Forecasting and Load Research team operates within the Resource Management division to provide the long-term outlook for electricity demand as a critical input to major energy system planning decisions. This role develops long-term forecasts of customers and energy usage for residential and commercial customers using advanced statistical forecasting methods including multiple regression and time-series analysis and a thorough understanding of economics, especially economic factors affecting the electric utility industry. The Load Research and Forecasting Analyst will be required to track local and national economic conditions/trends and relate them to the electric utility industry and their specific impacts on SRP.
What You'll Do- Interpret and leverage data, trends, qualitative data, industry benchmarking and other sources of information to create and maintain SRP's Corporate Load Forecast
- Source and synthesize large amounts of data across topical areas into clean input datasets and clear conclusions
- Collaborate with customer-facing teams to collect up-to-date information on business and market trends
- Work within cloud computing environments
- Develop and maintain broad internal and external networks to exchange information on a regular basis
- Utilize creative and targeted approaches to communicate and present information to different audiences, including executive leadership and non-technical groups
- Represent SRP on external industry groups, community groups, and other consortia as necessary
- Perform industry benchmarking to help SRP understand how we compare to other utilities and industry best practices for load research and forecasting
- Manage and lead special projects and initiatives as necessary
EducationA bachelor's degree relevant to the assignment from an accredited institution is preferred.
ExperienceThis position may be filled at one of three levels outlined below, based on the candidate's relevant education, experience, or a combination of both that demonstrates the required knowledge, skills, and competencies. Level I - Associate: In lieu of a degree, 4 years of relevant experience or an equivalent combination of education and experience totaling 4 years may be considered. Level 2 - Journey: Minimum 2 years of relevant experience required. In lieu of a degree, 6 years of relevant experience or an equivalent combination of education and experience totaling 6 years may be considered. Level 3 - Senior: Minimum 5 years of relevant experience required. In lieu of a degree, 9 years of relevant experience or an equivalent combination of education and experience totaling 9 years may be considered. Eligibility for advancement (progression) to the next level in the same role is based on overall job performance, mastery of all functional responsibilities, and time in position, as assessed by the supervisor.
Additional Requirements and Qualifications• Master's degree preferred; advanced coursework in economics, statistics, data science, engineering, or a related quantitative field is a plus.
• Experience developing and applying forecasting models, econometric methods, statistical analyses, and machine learning techniques.
• Proficiency with programming and data analysis tools such as Python, SQL, R, VBA, MATLAB, C++, or similar technologies.
• Utility, energy, or regulated industry experience preferred.
• Strong attention to detail, organization, collaboration, facilitation, and time management skills.
• Self-motivated with a demonstrated ability to lead initiatives and deliver results with minimal supervision.
• Excellent written, verbal, and interpersonal communication skills, with the ability to tailor complex information to diverse audiences.
• Strong critical thinking, problem-solving, and quality assurance skills, including the responsible handling of sensitive and confidential information.
• Demonstrated commitment to continuous learning, professional development, teamwork, and process improvement.
• Proven ability to manage multiple priorities, collaborate across organizations, and communicate effectively with both technical and executive audiences.
Hybrid WorkplaceSRP currently offers a hybrid workplace, which allows employees whose jobs can be performed remotely, and who have sufficient technical capability, to telework up to three days per week. Although teleworking is available, all employees must live and work in Arizona.
Work AuthorizationAll candidates must be legally authorized to work in the United States.
Currently, SRP does not sponsor H1B visas, OPT, or other employment-related visa's.
