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AES Advanced Analytics & Modeling Engineer in Dayton, Ohio

At AES, we raise the quality of life around the world by changing the way energy works. Everyone makes an impact every day in our small, global teams. Apply here to start an extraordinary career today.

This is a hybrid position

Under general supervision, the Advanced Analytics & Modeling Engineer tracks and leads global benchmarking initiatives, tracks global EtaPRO utilization status, creates and maintains the Global Performance Monitoring and Analytics Center (PMAC) standard operating procedures and maintains global performance records and reports. Key focus areas for this role include monthly global heat rate reports, monthly management reporting, machine learning and other ad hoc analyses. The Advanced Analytics & Modeling Engineer will work closely with plant management, Global PMAC and Regional PMAC performance engineers, Operations, Commercial, and Financial Planning and Analysis teams.

Requirements:

  • Minimum of 5 years of experience in generation and management.

  • Bachelor's Degree in Engineering (Mechanical, Chemical, InstrumentationEngineering preferred) or equivalent experience.

  • Ability to work with minimal supervision.

  • Experience supporting multiple projects simultaneously preferred.

Skills:

  • High competency in MS Excel (data analytics and financial modeling) and proficiency in MS PowerPoint and Word.

  • Working knowledge of operations and familiarity with commercial/financial planning and analysis.

  • Working knowledge of advanced analytics.

  • Working knowledge of Advanced Pattern Recognition and thermal performance software or other reliability or condition based predictive diagnosis software applications.

  • Excellent analytical skills: Must possess good problem solving and troubleshooting skills with the ability to work with large amounts of data, facts, and figures.

  • Communication Skills: Ability to present findings or translate the data into understandable documents. Write and speak clearly, easily communicating complex ideas.

  • Convey a high degree of professional competence in all forums and venues.

  • Ability to establish and maintain effective working relationships.

Responsibilities:

  • Support special projects by building operational / financial Excel models based on initiatives' needs

  • Track Asset Management improvement initiatives and resulting improvements in operational performance and financials

  • Develop technical assessments/analyses that will improve operational performance and reliability to meet operational targets or understand the deviations from it

  • Collects, processes, and analyzes data for plant performance metrics and assessment reports (e.g. monthly KPI reports, variable margin loss analysis, etc.)

  • Leads the global benchmarking initiative - produces quarterly global KPI benchmarking reports and ensures databases are updated in a timely manner

  • Development of well-organized, insightful reports, dashboards, and other forms of data visualizations to support strategic, tactical, and operational business decisions in SAS. Provides analysis in areas such as KPI performance against targets & goals.

  • Provides performance analysis or develops single regression models (EtaPRO / EtaPRO APR)

  • Support the development of Artificial Intelligence and Machine Learning models to improve failure prediction and continuous improvement.

  • Tracks and reports efficiency of generating units such as heat rate improvement (thermal) and average energy production (wind), plus equipment anomalies. Sustained/continuous oversight and coordination with maintenance and planning teams to address any performance degradation issues identified by the team.

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Safety comes first at AES. To protect the health and safety of our people, customers, communities and partners, and to provide and maintain a workplace that is free of known hazards, AES requires all newly-hired people or current AES people applying for U.S.-based role(s), to be fully vaccinated against COVID-19 or be willing to be fully vaccinated against COVID-19 by their date of hire. Except where prohibited by law or not specifically covered in a collective bargaining agreement, new hires and transfers will be required to provide proof of vaccination during onboarding and periodically thereafter. This policy will comply with all applicable laws and is based on guidance from the Centers for Disease Control and Prevention and local health authorities, as applicable.

Accelerating the future of energy, together

Our people are our energy and have transformed AES into the type of energy company that the world needs today and in the future. Coming from all walks of life, our people share a passion for improving lives by advancing the energy sector through innovation, collaboration and action.

We are working in an industry that requires new thinking and ways of working together to create solutions that are both economically and environmentally viable, not just one or the other.

We are looking for passionate people to join us in our mission to accelerate the future of energy.

Are you ready to join us? www.aes.com/careers

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