Job Opening at SCE: Demand Forecasting Analyst

Posting another job at SCE. If you are interested, please visit SCE career website and search the job number 71009009 to apply.

Demand Forecasting Analyst (EMS3)(71009009)

Job Posting : Oct 8, 2014, 1:53:46 AM - Oct 23, 2014, 2:59:00 AM
Primary Location: US-CA-Rosemead

Position Overview:

This position will be in the Portfolio Planning and Analysis department within Southern California Edison’s (SCE) Power Supply Organizational unit. The successful candidate will work in the Short Term Demand Forecasting (STDF) Group within the Portfolio Planning and Analysis Department by running, maintaining and improving current day to 90 days ahead electricity demand, renewable generation, and demand response forecasting models and ensuring access to, validating, and analyzing large data sets used in the forecasting activities.  The major responsibilities of the STDF group include forecasting weather, electricity demand, renewable generation, and demand response program performance. The forecasts are used for wholesale procurement of electricity for SCE customers and optimal scheduling of renewable and demand response resources in the California energy markets. The group works closely with price forecasting, planning, trading, and operations teams within Power Supply and with Customer Service departments overseeing the retail demand response programs at SCE.

Typical responsibilities include:

• Maintain and help improve existing electricity demand, renewable generation, and demand response program forecasting models and/or develop new ones using a SAS-based Energy Forecasting Platform and other analytical tools as needed.
• Lead big data analytics projects such as: acquire access to, validate, and analyze electricity usage data at customer meters and various levels of distribution and transmission network, identify behind-the-meter renewable generation resources and electric vehicle charging patterns, centralize weather data across the company for the use in situational awareness and business resiliency tools, and other similar projects.
• Provide statistical expertise to the trade floor groups on various projects and ad hoc analysis when requested.
• Support operational activities of the team when needed: execute day-ahead and extended-day-ahead forecasts, provide hour-ahead updates, prepare seasonal forecasts, and work independently on weekend days when needed.
• Track accuracy of forecasts and perform after-the-fact analysis.
• Maintain a safety conscious work environment by following Edison safety protocols and safe work practices.
• Perform other responsibilities and duties as assigned.

Qualifications:

• Must have experience with statistical, econometric or financial modeling.
• Must have experience with statistical analysis, statistical forecasting, and data mining techniques
• Bachelor’s Degree Statistics, Data Science, Economics, Finance, Electrical Engineering or in a similar quantitative area.
• Typically possesses six or more years of quantitative analysis experience.
• Demonstrated experience working with energy markets.
• Demonstrated experience forecasting, planning, and analyzing market trends.
• Demonstrated experience developing, maintaining, and/or utilizing time-series, regression, neural network, data mining and other statistical and machine learning models.
• Demonstrated experience preparing findings and presenting complex technical information to technical and nontechnical audiences.
• Demonstrated ability to interface effectively and collaborate with peers, clients, management, and other organizations.
• Demonstrated ability to work under pressure, adjust to changing priorities, and pay attention to details.
• Demonstrated ability to take initiative and accountability for the accuracy of information and for achieving results.
• Willingness to work alternative schedules including early mornings, weekends and holidays.
• Demonstrated experience using Microsoft Word, Excel, Access and PowerPoint.
• Demonstrated ability to follow Edison safety protocols and safe work practices.

Preferences:

• Graduate Degree in Statistics, Data Science, Economics, Finance, Electrical Engineering or related technical degree.
• Experience forecasting electricity demand, renewable generation, and/or demand response program performance in California and the Western United States.
• Knowledge of and experience using SAS tools for statistical analysis and forecasting.
• Experience working with big data tools and data storage such as SAP HANA, Hadoop, Teradata, etc.

Comments:

• Edison International and Southern California Edison reserve the right to close or cancel a posting at any time. 
• Edison International is an Equal Opportunity Employer.
• Relocation assistance may be provided.