Energy Load Forecasting & Financial Insights Analyst

FirstEnergy; Greensburg (Westmoreland County); Vor Ort; USD 85.000 - 110.000; Vollzeit

Zusammenfassung

FirstEnergy in Akron, OH with open positions in Greensburg and Reading seeks an Economic Load Forecasting Analyst to join the Strategy team. You will support financial forecasting and analysis for the regulated distribution and transmission businesses, coordinating with units and management to prepare energy, peak load, and revenue forecasts.

The role reports to the Director of Load Forecasting and requires deep data analysis, experience with large datasets, and programming in Python, R, or SQL.

Qualifikationen

• Bachelor's degree is required; advanced degree a plus.
• 4-8 years' relevant work experience in data analysis, forecasting, or financial statement analysis.
• Proficient in Microsoft Office applications (Excel, Word, PowerPoint).
• Experience working with large datasets; programming in Python/ R/ SQL a plus.

Aufgaben

• Support the customer, energy and revenue forecast processes.
• Represent energy load forecasts in rate proceedings and regulatory filings.
• Streamline forecasting processes to improve accuracy and efficiency.
• Use data mining and analytics to enhance forecast processes.
• Coordinate actual results and forecasting data reporting for financial schedules.

Kenntnisse

Analytical skills

Communication skills

Team collaboration

Problem solving

Attention to detail

Ausbildung

Bachelor's degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Information Technology, Business, Finance or related discipline

Tools

Python

R

SQL

Excel

Jobbeschreibung

FirstEnergy in Akron, OH with open positions in Greensburg and Reading seeks an Economic Load Forecasting Analyst to join the Strategy team. You will support financial forecasting and analysis for the regulated distribution and transmission businesses, coordinating with units and management to prepare energy, peak load, and revenue forecasts.

The role reports to the Director of Load Forecasting and requires deep data analysis, experience with large datasets, and programming in Python, R, or SQL.