Luma PR-posted 11 days ago
Full-time • Mid Level
Santurce, PR
1,001-5,000 employees

This position is within the Regulatory Team. The Regulatory Team works to align LUMA’s business plan with the public energy policy goals of Puerto Rico and plays a key role for the design, implementation and reporting on key policy initiatives. Regulatory works with all LUMA departments in support LUMA’s compliance and reporting obligations under the Operations and Management Agreement, the energy regulator and other governmental bodies. The team works with multiple external stakeholders and is responsible for the delivery of professional written documents, and verbal reason to support compliance and reporting. The Tariff and Budgets group within Regulatory is responsible for conducting analysis, studies and projections related to customer rates and annual budgets as well as interacting with LUMA departments to provide updated discussions of LUMA’s activities. The primary function of this role is to conduct, manage and coordinate research and study activities to model individual customer behavior necessary for LUMA Energy’s regulatory, ratemaking and demand-side planning, operations, customer service and planning functions. The individual will be personally responsible for performing detailed economic and demographic research, surveys, data collection, processing and analysis and studies to assist in the development of short-, medium- and long-range electricity forecasts. The individual will perform extensive modeling and algorithms, produce reports and profiles and must be able to communicate the results in English. The role includes broad engagement with individuals, organizations and data most relevant to load profile development and requires the clear communication of data sources and methods, analytical techniques, methodologies and sensitivity analyses.

  • Handles varied and complex projects, analyses and statistics.
  • Measures and studies the characteristics of electric loads to provide trends and model general load behavior of LUMA’s customers.
  • Analyzes and model customer behavior, including data from Residential Appliance Saturation Surveys and other market surveys and data collections.
  • Develops load profiles using market research and statistical, algorithmic, mining and visualization techniques.
  • Prepare and integrate large, varied datasets, specialized databases using various computer programs and models.
  • Use computer tools such as Visual Basic for Applications (VBA), Python, Perl, etc.
  • Performs detailed analyses using scenario planning and sensitivity analyses to assess risks.
  • Leads effort to review and validate data inputs and works with teams to correct data errors.
  • Measure on a regular basis the accuracy of short-, medium- and long-term usage forecasts versus actuals.
  • Ability to defend and explain difficult and complex issues with respect to key decisions and positions and analytical work in English.
  • Maintains documentation on processes.
  • Prepares reports for executive management.
  • Supports various business functions throughout the company with load research analyses.
  • Researches and proposes new data sources, methods, and analysis techniques and recommends improvements.
  • Identifies causes for load profile errors outside the target range and develops solutions to improve accuracy.
  • Clearly and transparently communicates drivers of load profile errors and reports variances in English.
  • Periodically performs major storm restoration work and associated drills as assigned.
  • Follow all policies and procedures.
  • Other duties as assigned.
  • Bachelor’s degree in Math, Engineering, Economics, Commerce or Business, or related field.
  • 7 years related work experience in detailed, multi-variable analytical role.
  • A good understanding of the electric utility model, or other heavily regulated industries, previous experience working at a T&D utility an asset.
  • Demonstrated knowledge and understanding of regulatory principles, statistical analyses, forecasting and data analyses.
  • Master’s degree related to Statistics, Engineering, Economics or Finance.
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