Sr Analyst Electric Forecasting

Overview

The Sr Analyst in Electric Forecasting will assist the Senior Planning Analyst and the Section Manager in developing the Companys Electric DLA (network) Peak Forecast for the CECONY service territory. The Sr Analyst will lead the New Business Forecasting process, coordinate the acquisition of customer project information, and manage job data integration into the forecast. The Sr Analyst will support the enhancement of models used to forecast New Business growth. The Sr Analyst will work closely with other teams across Energy Management, Customer Engineering, Energy Services, Regional Engineering, Distribution Engineering, Central Engineering, Transmission Planning, and Distribution Planning to develop a deep understanding of the service territorys peak load impacts. The Sr Analyst will be prepared to defend the forecast and fully respond to internal and external inquiries related to the forecast.

This position is essential to the success of the Company as it monitors our dynamic energy landscape and ensures consistency among forecasts, strategies, and plans emanating from Energy Management, Strategic Planning, Customer Energy Solutions, and Corporate Affairs. The successful candidate for this position will possess strong analytical skills, an understanding of electric peak forecasting, and a passion for driving positive change in the energy sector. This position does not provide employment pursuant to the terms of a STEM OPT Training Plan.

Responsibilities

• Provide valuable support to the Senior Planning Analyst and the Section Manager in producing forecasts of electric peak demand for CECONY distribution load areas. These forecasts play a crucial role in supporting load relief, operations, reliability, planning, capital budgeting, revenue requirement, rate cases, long range planning purposes, and special studies.
• Lead the New Business forecasting process, coordinate the acquisition of customer project information, and manage job data integration into the forecast. Generate annual New Business job sheets and reports to be used in the electric peak forecast and to be distributed with select Engineering teams.
• Monitor national, state, local, and Company energy policies to ensure consistency among forecasts.
• Perform data verification, data scrubbing, data manipulation, data analysis, econometric regression analysis, and time series analysis utilizing Python, SQL, Excel, VBA, and other robust statistical/analytical software in the process of building models, generating forecasts, and reconciling load.
• Explore, develop, and implement new methods for analyzing and presenting data.
• Deliver presentations on electric peak forecasts and associated load modifiers to upper management, the NYISO, the PSC, New York City governmental agencies, and other stakeholders.
• Assist with the preparation of spreadsheets, reports, regulatory filings, rate case testimony and exhibits, and respond to interrogatories from the PSC and other intervenors to the Companys rate filings.
• Work closely with Policy Integration Forecasting to perform analyses on the impact of load modifiers such as electric vehicles, heat pumps, gas-electrified appliances, solar photovoltaic generation, distributed generation, and battery energy storage systems on the electric peak. Work with other departments to evaluate energy efficiency, demand response, non-wires solutions, voltage reductions, emergency generators, and AMI load shedding to determine their impact on the electric peak. Collaborate closely with Strategic Planning, Customer Energy Solutions, and Corporate Affairs teams to ensure alignment and consistency across forecasts, policies, strategies, and plans.
• Perform other related tasks and assignments as required. Learn new systems as required.
• Perform emergency/storm duty as needed.

Qualifications

• Master's Degree Engineering, Mathematics, Computer Science, Statistics, or Energy Management and Minimum 2 Years full time related work experience or
• Bachelor's Degree Engineering, Mathematics, Computer Science, Statistics, or Energy Management and Minimum 3 Years full time related work experience

• Previous experience in electric utility or energy industry, required.
• Proficient in Microsoft Word, Excel, PowerPoint, Outlook, and Team, required.
• Knowledge of Python, SQL, VBA or demonstrate an interest in gaining programming skills, required.
• Demonstrated growth mindset with an eagerness to learn, required
• Proficient in developing comprehensive and analytical spreadsheet models in Excel, required.
• Demonstrates an eagerness to learn, is self-motivated, takes responsibility and ownership of work, and shows innovative problem solving skills, required.
• Previous experience in commodity forecasting, engineering, modeling, or data analysis, preferred.
• Knowledge of the electric distribution system, grid infrastructure, and the fundamentals of electric utilities.
• Knowledge of CPMS, PI Vision, DIS, and MetrixIDR, preferred.
• Knowledge of regression analysis and advanced statistics, preferred.
• Familiarity with clean energy technologies, policies, and data relating to electric vehicles, heat pumps, gas-electrified appliances, solar PV, DG, BESS, and EE, preferred.

• Develops and delivers effective presentations
• Demonstrated problem solving skills
• Demonstrates excellent judgment and decision making skills
• Strong written and verbal communication skills
• Maintains composure under pressure
• Seeks to acquire knowledge in area of specialty

• Driver's License Required

• Sit or stand to answer a phone for the duration of the workday
• Sit or stand to use a keyboard, mouse, and computer for the duration of the workday

• The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.
• Must be able and willing to travel within Company service territory, as needed.