Sr Planning Analyst

Con Edison is seeking a motivated and analytical professional to join our Forecasting Services team supporting electric, gas, and steam operations. In this role, you will analyze large datasets, develop forecasting models, evaluate energy efficiency and demand response programs, and help deliver insights that support operational planning, regulatory activities, and emerging energy initiatives. The position offers the opportunity to work with advanced analytics, statistical modeling, forecasting technologies, and tools such as Python, SQL, Excel, and database platforms while collaborating with cross-functional teams across operations, planning, IT, and regulatory organizations. Ideal candidates have a strong quantitative background, excellent communication skills, and an interest in energy markets, data analytics, forecasting, and innovative technologies shaping the future of the utility industry.

This position does not provide employment pursuant to the terms of a STEM OPT Training Plan.

• 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
• Requires strong analytical, communication, teamwork, and decision-making skills, with a background in engineering, mathematics, statistics, economics, computer science, data science, or related fields

• 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

• 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

• 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

• 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

• Driver's License Required

• 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

• 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.
• Ability to travel within Company service territory, as needed