Fuels and Fleet or Senior Fuels and Fleet Reliability Analyst: Power Generation Business Analysis

Build an exciting, rewarding career with us – help us make a difference for millions of people every day. Consider joining the Duke Energy team, where you'll find a friendly work environment, opportunities for growth and development, recognition for your work, and competitive pay and benefits.

• Bachelor’s degree in Business, Engineering, Accounting, Data Science or Other Related Degree
• In lieu of Bachelor’s degree(s), High School/GED AND four (4) or more years related work experience

• Bachelor’s degree in Business, Engineering, Accounting, Data Science or Other Related Degree
• In addition to required degree, five (5) or more years related work experience
• In lieu of Bachelor’s degree(s) AND five (5) or more years related work experience listed above, High School/GED AND nine (9) or more years related work experience

• Master’s Degree in Business, Engineering, Accounting, Data Science or Other Related Degree
• Highly proficient with Excel and data visualization tools such as Power BI, Qlikview
• Excellent communication and presentation skills with ability to communicate technical subjects to a wide range of audiences. 

• Experience with reliability and resource adequacy modeling including loss of load, capacity accreditation, reserve margin, and ancillary reserves.

• Programming skills in data science/mathematical software packages and/or interest in Python, Matlab

• A general understanding of electric, gas, oil or coal industries

• Experience with mathematical optimization techniques and production cost models such as SERVM and PowerSimm.

• Understanding of probability distributions, stochastic processes, tail risk estimation

• Practical experience managing data in traditional (Oracle, SQL Server) and/or cloud databases (AWS). Able to create tables/views and query large databases

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This position is responsible for providing analytical support for fuel procurement and power generation trading and dispatch models used to support the economic planning and operation of Duke Energy’s $6B multi-commodity fuel & power portfolio and 50 GW+ regulated thermal and renewable generation fleet.  Primary areas of responsibility include quantifying reliability of the generation portfolio, forecasting fuel requirements, evaluating the impact of renewables, optimizing economics of battery storage, and providing outage scheduling support using production cost models.

• →Production Cost Modeling: Define and update key inputs, run stochastic / reliability models, and summarize and present results for both technical and business audiences. Reliability analysis include resource adequacy, ELCC, LOLH, solar integration service charge (SISC), and screening operating reserve studies
• →Stakeholder Engagement: Build and maintain relationships with internal stakeholders across Fuels & System Optimization, Resource Planning, Engineering, Rates, Financial Planning, Wholesale, Environmental, and Accounting teams. Engage with resource adequacy industry working groups. Advise and advocate for the company as applicable
• →Model Accuracy & Improvement: Identify and implement process improvements to enhance efficiency and accuracy. Evaluate model performance by comparing forecasts to actuals.
• →Ad-Hoc Analysis: Conduct analyses to support outage scheduling, deal evaluation, scenario planning, and integration of renewable energy technologies.
• →Visualization: Create tools to clearly communicate changes in model inputs and outputs.

• →Author technical documents and white papers for internal and external audiences; create compelling visualizations and contribute to regulatory filings and testimony.

• Hybrid – Work will be performed from both remote and onsite locations after the onboarding period. However, hybrid employees should live within a reasonable commute to the designated Duke Energy facility, not greater than 50 miles one way. Employees are expected to report to their assigned Duke Energy facility as required and directed by their manager, on average 3 full workdays per regular workweek.
• Highly collaborative working office environment

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