Analyst, Structured Load Analytics at NRG Houston, TX

Analyst, Structured Load Analytics job at NRG. Houston, TX. Welcome to the intersection of energy and home services. At NRG, we’re all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers’ lives easier—helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company. We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society. More information is available at Connect with NRG on Facebook, Instagram, LinkedIn and X. The primary responsibility will be the operation, maintenance and reporting of data out of load forecasting and product control systems. The ideal candidate will be responsible for managing the operation of a forecasting/product control system which includes long-term forecast updates, variance analysis and reporting of retail power components. In addition, he/she will manage the effective communication of results, drivers, and feedback to stakeholders regarding the forecast output, settlement analysis, and performance analytics. Requires a Bachelor’s degree in Business, Mathematics, Statistics, Economics, Engineering /Financial Engineering, or other quantitative field. Advanced degrees in the above disciplines are desired. The candidate should typically have a minimum of 2 years of experience in load forecasting and advanced statistical methods or roles in product control, pricing or accounting. The Candidate should also show proficiency in various aspects of other roles to show a breadth and depth of experience and knowledge and demonstrate how this education applies to energy, forecasting or product control reporting. In addition, the Candidate should have knowledge and proficiency in systems architecture as it pertains to customer data, risk and forecasting systems from a retail perspective. The Candidate will also have working knowledge of either SQL Server or Oracle SQL. The candidate will also have knowledge in some of the following: Regression modeling, including neural-net, simple regression, and hybrid modeling Thorough understanding of load and modeling constituents, including weather and transform functions Statistical analysis to construct performance metrics (MAD, MAPE, etc) Moderate to advanced programming skills (SQL, scripting / object-oriented coding including Python, Matlab, R, SAS, VBA) Comprehension of deregulated power markets, portfolio management and optimization, energy supply stack, customer profiling. Thorough comprehension of load, including ISO-level, regional-, zonal-, congestion-level, customer profiles, C&I and mass customers. Proficient in trending analysis, correlation to weather, attrition, conservation Proficient in short- and long-term forecast (time scales from hours to decades) Knowledge of electricity-market hedge instruments, including settlement mechanisms, volatility attributes, and liquidity constraints Knowledge of market load and deviation settlement mechanisms, capable of shadow-settlement calculations The Candidate is expected to work in a fast-paced environment, along with a strong ability to multi-task. Often, the Candidate will have advanced computer skills to be able to develop applications to streamline processes, extract and mine large datasets, develop front-end applications for visualization, work alongside IT for bug-fixes, code enhancements, and user-testing. The Candidate typically possesses a fundamental knowledge of weather and energy business (portfolio optimization, applying fundamental analysis to enhance load forecasts). The individual will also be able to convey not just the forecast output, but provide risk to the forecast (upside / downside) based on fundamental information. NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. EEO is the Law Poster (The poster can be found at Official description on file with Talent. #J-18808-Ljbffr NRG