✦ Luna Orbit — Data & Analytics

Sr Quantitative Engineer (Power Quality)

at Exelon

📍 OAKBROOK TERRACE, Illinois, United States Unknown 💰 $112K – $112K USD / year Posted March 26, 2026
Salary $112K – $112K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves employing quantitative methods to support engineering studies and strategic planning within Exelon's energy operations. The engineer will develop models, analyze trends, and provide insights to optimize power quality and energy systems.

  • Perform quantitative analysis
  • Develop analytical models
  • Support engineering studies
  • Analyze energy trends
  • Prepare cost and budget reports

The technical scope includes quantitative analysis, model development, trend forecasting, and energy industry expertise, utilizing modeling software and data analysis tools.

The ideal candidate is a detail-oriented senior-level data analyst or engineer with strong experience in quantitative analysis, model development, and energy industry knowledge. They should be proficient in analytical tools and capable of supporting complex engineering studies and forecasts.

Extensive quantitative analysis experienceDeveloping analytical modelsSupporting engineering studiesKnowledge of energy industry
Experience with energy systemsModeling softwareData visualization tools
Modeling softwareData analysis tools
Quantitative methodologiesdata analysismodel developmenttrend analysisforecastingenergy industry knowledgecost estimationbudgeting
Quantitative methodologiesData analysisModel developmentTrend analysisForecastingEnergy industry knowledgeCost estimationBudgeting
Analytical thinkingCommunicationProblem-solvingTeamworkAttention to detail
Industry Energy
Job Function Support energy system analysis and strategic planning through quantitative modeling
Role Subtype Data & Analytics
Tech Domains Energy industry, Power systems
quantitative engineerpower qualitydata analysismodel developmenttrend analysisforecastingenergy industrycost estimatesbudgetsengineering studiesquantitative methodologiesenergy systemsmodeling softwaredata visualizationpower systemscost estimationbudgeting

Lack of experience with quantitative analysis, No background in energy systems, Inability to develop analytical models, Unfamiliarity with energy industry

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