I'm posting a Lead Load Forecaster job for a friend at Duke Energy. Please send the resume to Yuan Niu if you or someone you know is interested. Applications should be made through Duke Energy's website after this job is posted there.
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This position will serve as the load forecasting lead for the Indiana service area. Key responsibilities include preparing the electric sales and peak load forecasts, as well as developing the hourly load shapes for Indiana, preparing forecast reports & variance analyses, enhancing forecast methodology and data management, supporting MISO forecasting and analytical requests. Also, the person selected for this job will be the point of contact for managing Indiana regulatory requirements related to load forecasting which include responding to data requests, providing analytical support to the legal, Integrated Resource Planning, T&D, rates, and portfolio & fuels optimization departments. In addition, this role is accountable for complying with MISO reporting mandates. Other duties include the continued enhancement of the departments’ processes, systems & data, and serving as a backup for other forecast efforts such as sales projections required by other jurisdictions or validating emerging technology trends. The job will require some travel to Indiana to support regulatory proceedings. Depending on the experience of the candidate, this role may provide expert witness testimony and support as needed.
Basic Qualifications:
1. Minimum qualifications for the job.
• MA/MS degree in economics/statistics/business/finance or the equivalent in education and experience.
• 4-6 years of experience in forecasting or reporting projected revenues, sales volumes, peak loads or profit/loss statements
• 3-5 years of experience working with the energy industry
• Familiarity with hourly load shaping
• 1-2 years of experience with statistical or econometric modeling and software.
• Ability to communicate clearly, written and verbal.
• Ability to efficiently analyze and synthesize large volumes of data.
• Ability to work under tight deadlines without supervision.
• Good interpersonal / team skills and demonstrated effective work habits.
• Knowledge of statistical or econometric tools and development of econometric models.
• Advanced knowledge of spreadsheets
• Exposure to Access or similar databases
• Experience with presenting results of complex analyses to senior management
• Demonstrated effective work habits, e.g. displaying initiative and persistence in carrying out work assignments, seeking to continually improve knowledge and skills and utilizing technology, knowledge and innovation in support of continuous improvement and enhanced productivity.
• Proven record of systems, process and data management process improvement design and implementation.
2. Desired Qualifications:
• MA/MS/Ph.D. in economics or statistics.
• Experience in preparing and defending analytical testimony.
• 3-5 years of experience in developing econometric/statistical models.
• 3-5 experience working for an electric utility
• Familiarity with end-use models.
• Exposure to financial and accounting concepts
• Knowledge and exposure to RTO’s
• 3-5 years experience with forecast variance analysis
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This position will serve as the load forecasting lead for the Indiana service area. Key responsibilities include preparing the electric sales and peak load forecasts, as well as developing the hourly load shapes for Indiana, preparing forecast reports & variance analyses, enhancing forecast methodology and data management, supporting MISO forecasting and analytical requests. Also, the person selected for this job will be the point of contact for managing Indiana regulatory requirements related to load forecasting which include responding to data requests, providing analytical support to the legal, Integrated Resource Planning, T&D, rates, and portfolio & fuels optimization departments. In addition, this role is accountable for complying with MISO reporting mandates. Other duties include the continued enhancement of the departments’ processes, systems & data, and serving as a backup for other forecast efforts such as sales projections required by other jurisdictions or validating emerging technology trends. The job will require some travel to Indiana to support regulatory proceedings. Depending on the experience of the candidate, this role may provide expert witness testimony and support as needed.
Basic Qualifications:
1. Minimum qualifications for the job.
• MA/MS degree in economics/statistics/business/finance or the equivalent in education and experience.
• 4-6 years of experience in forecasting or reporting projected revenues, sales volumes, peak loads or profit/loss statements
• 3-5 years of experience working with the energy industry
• Familiarity with hourly load shaping
• 1-2 years of experience with statistical or econometric modeling and software.
• Ability to communicate clearly, written and verbal.
• Ability to efficiently analyze and synthesize large volumes of data.
• Ability to work under tight deadlines without supervision.
• Good interpersonal / team skills and demonstrated effective work habits.
• Knowledge of statistical or econometric tools and development of econometric models.
• Advanced knowledge of spreadsheets
• Exposure to Access or similar databases
• Experience with presenting results of complex analyses to senior management
• Demonstrated effective work habits, e.g. displaying initiative and persistence in carrying out work assignments, seeking to continually improve knowledge and skills and utilizing technology, knowledge and innovation in support of continuous improvement and enhanced productivity.
• Proven record of systems, process and data management process improvement design and implementation.
2. Desired Qualifications:
• MA/MS/Ph.D. in economics or statistics.
• Experience in preparing and defending analytical testimony.
• 3-5 years of experience in developing econometric/statistical models.
• 3-5 experience working for an electric utility
• Familiarity with end-use models.
• Exposure to financial and accounting concepts
• Knowledge and exposure to RTO’s
• 3-5 years experience with forecast variance analysis
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