Duke Energy - Charlotte, NC

posted 3 months ago

Full-time - Mid Level
Charlotte, NC
Utilities

About the position

At Duke Energy, we are committed to making a difference in people's lives every day. As part of our team, you will find a friendly work environment that fosters growth and development, recognizes your contributions, and offers competitive pay and benefits. This position is part of the Operational Visualization job hierarchy and represents an intermediate level role. Employees in this position will undertake assignments that are more complex in nature, working under general supervision. You will be expected to develop advanced skills and work with greater independence, applying fundamental concepts to a variety of complex tasks. In this role, you will support load research studies and projects, gaining knowledge and experience within the load research discipline. You will possess advanced skills related to data location, aggregation, validation, interpretation, and visualization for large volumes of customer usage and related data. The ability to work independently, solve straightforward problems, and analyze possible solutions using standard procedures and toolkits is essential. Your responsibilities will include verifying and analyzing large volumes of customer usage data, performing data validation, and utilizing resources to resolve data quality issues. You will analyze and prepare load research statistical analysis to support cost-of-service studies and other data requests. Additionally, you will monitor and maintain effective operational procedures for data management processes, contribute to the development of statistical models through Python scripts, and perform regression analyses to estimate relationships between performance measures and customer insights. Communicating complex data insights through Power BI dashboards will also be a key part of your role, as you become a champion of one or multiple Power BI applications and reports.

Responsibilities

  • Verifies and analyzes large volumes of customer usage and related data.
  • Performs data validation and resolves data quality issues following established procedures.
  • Analyzes and prepares load research statistical analysis of customer loads to support cost-of-service studies and other data requests.
  • Monitors and maintains effective operational procedures for data management processes.
  • Contributes to the development of statistical models and customer load models through Python scripts.
  • Performs regression analyses and other advanced functions to estimate relationships of performance measures to customer insights.
  • Analyzes data modeling and findings to provide recommendations for improving operational performance and customer satisfaction.
  • Communicates complicated data insights through Power BI dashboards and champions Power BI applications and reports.

Requirements

  • Bachelor's degree in a related field.
  • 2 years of related work experience; a Master's degree can substitute for work experience.
  • Working knowledge of statistics and predictive modeling.
  • Working knowledge of code development and advanced programming techniques, such as Python.
  • Understanding of SQL for accessing and wrangling data.
  • Understanding of data analytics, statistics, modeling, and general business acumen.
  • Demonstrated history of Power BI expertise.
  • Good written and oral communication skills.
  • Ability to interact with a variety of individuals.
  • Understanding of basic principles of project management.
  • Experience in the utility industry.
  • Customer data-specific experience.

Nice-to-haves

  • Master's degree in a related field.
  • 2 additional years of related work experience beyond the basic qualifications.

Benefits

  • Competitive pay and benefits package.
  • Relocation assistance provided (as applicable).
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service