Sr Planning Analyst - Energy Management Forecasting Services

Responsibilities

• Conduct forecasting studies and analyses for electric, gas, and steam systems, including financial impact assessments
• Perform regression analysis, statistical modeling, data cleansing, and large dataset analysis
• Evaluate energy efficiency and demand response programs and their impact on forecasts and peak demand
• Develop reports, spreadsheets, regulatory filings, and presentations for internal and external stakeholders
• Represent the company in meetings with NYISO, regulatory agencies, and other industry stakeholders
• Collaborate with operations, planning, legal, regulatory, and energy market teams on forecasting and operational matters
• Maintain and improve forecasting models, databases, data pipelines, and delivery tools
• Research emerging energy trends, analytics methods, AMI data solutions, and forecasting technologies
• Use or learn tools such as Python, SQL, SAS, R, VBA, Excel, databases, and forecasting software

Qualifications

• Required Education/Experience: Master's Degree and a minimum of 2 years of full-time relevant work experience, or Bachelor's Degree and a minimum of 3 years of full-time relevant work experience, or Associate's Degree and a minimum of 5 years of full-time relevant work experience
• Preferred Education/Experience: Bachelor's Degree in Engineering, Mathematics, Statistics, Economics, Computer Science, Data Science, Finance or a related field and a minimum of 5 years of full-time relevant work experience
• Relevant Work Experience: Strong knowledge of spreadsheet modeling and advanced Microsoft Excel functions for quantitative analysis and reporting, required; Experience working with relational databases and querying tools such as MySQL, MS SQL Server, or comparable platforms, required; Understanding of statistical methods, econometrics, predictive analytics, or machine learning concepts used in forecasting and modeling, required; Ability to analyze operational, market, weather, or energy-related data to support business planning and decision-making, required; Experience developing and maintaining analytical models, forecasting tools, databases, and automated data processing solutions, preferred; Proficiency with data analysis and programming tools such as Python, SQL, R, SAS, VBA, or similar technologies, preferred; Experience performing statistical analysis, regression modeling, forecasting, and trend analysis using large and complex datasets, preferred; Experience presenting technical findings, analytical results, and recommendations to both technical and non-technical stakeholders, preferred

Skills and Abilities

• Possesses strong technical aptitude
• Ability to work within tight timeframes and meet strict deadlines
• Possesses flexibility to work in a fast-paced, dynamic environment
• Strong written and verbal communication skills

Physical Demands

• Ability to push, pull, and lift up to 40 pounds
• Sit or stand to use a keyboard, mouse, and computer for the duration of the workday
• Ability to read small print and symbols