Senior Analyst

Title

Senior Analyst

AES Clean Energy Services, LLC

Houston, TX

$ per year

Collecting and analyzing large data sets centered around US power market data in the development of the firm’s proprietary fundamental power market models to derive actionable insights to management. Developing internal processes geared toward keeping up to date with policy changes and changes in the fundamental economics of the power system that may impact commodity prices and renewable asset valuations (e.g. renewable portfolio standards, capacity markets, assets retirements and new generation, transmission enhancements).

Researching future, macro level, changes to net load demand and their impact on renewable energy demand. Identifying emerging generation technology and or market trends that will impact commodity prices. Researching and developing conclusions related to the market drivers that impact commodity price changes and resulting renewable asset valuations and future generation stack. Translating ambiguous business questions into well-defined market intelligence inquiries.

Providing market and competitive insights through presentations and reports to various internal management teams to allow effective strategic and tactical decision-making and implementation. Conducting/maintaining routine and ad hoc analysis. Develop and maintain internally developed data management and analysis tools. Support the preparation and submittal of fundamental assumptions and results to the AES management team.

Job requires a Bachelor's degree in Finance, Economics, Mathematics, Engineering (any field), Sciences, or equivalent and 2 years of experience in production cost models (e.g., AURORA, PLEXOS, PROMOD or similar).

Job requires 2 years of experience in each of the following:

• Production cost models (e.g., AURORA, PLEXOS, and PROMOD)
• US regional power systems, commodity price trends, and renewable asset valuation
• Designing and implementing automated data pipelines using tools like Excel, Python and SQL to collect, process, and analyze large-scale datasets, incorporating both historical trends and real‑time information
• Constructing custom data analyses that convert complex datasets into visual reports that reveal emerging market trends
• Applying regression analysis, time series forecasting, and other statistical methods to identify correlations between fundamental drivers and market movements
• Data science tools like R, Python, and MATLAB
• Data visualization tools like Power
  
  BI or Tableau and other web-based industry intelligence solutions

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.