Data Analyst II CPS

BHE (Berkshire Hathaway Energy)•Las Vegas, NV
•$97,296 - $135,900•Hybrid

About The Position

Nevada Power Company, doing business as NV Energy, is seeking a Data Analyst II for Customer Programs & Services in Las Vegas, Nevada. The role supports company objectives and data-driven business decisions within Customer Operations through specialized data science research and technical analysis. The position develops computational analyses, including data science, computer modeling, scripting, and tools, and integrates methods and products within and across company software products. It also establishes automated processes for large-scale data analysis, model development, validation, and implementation; evaluates operational metrics reporting and data access; develops systematic solutions; and leads process improvements. The analyst leads or collaborates on data science projects throughout identification, scoping, implementation, and long-term operations and maintenance, and optimizes Customer Operations databases. The position is 40 hours per week and is based in Las Vegas, Nevada. Remote work is available under company policy for up to six days per month. The wage range is $97,296 to $135,900, with an opportunity for a Short-Term Incentive Plan target of up to 12%, at the company's discretion.

Requirements

  • Bachelor’s degree in Computer Science, Analytics, Data Science, Mathematics, or a related field; an equivalent foreign degree is accepted.
  • At least one year of experience as a Data Analyst or in a related occupation.
  • At least one year of experience with industry best practices for data science and data governance.
  • At least one year of experience constructing and optimizing SQL queries.
  • At least one year of experience with Python or a related language and associated machine-learning libraries.

Responsibilities

  • Conduct specialized data science research studies and technical analyses to support company objectives and data-driven business decisions within Customer Operations.
  • Develop computational analyses, including data science, computer modeling, scripting, and tool development.
  • Integrate methods and products within and across company software products.
  • Establish automated processes for large-scale data analysis, model development, model validation, and model implementation.
  • Evaluate operational metrics reporting and data access, provide systematic solutions, and lead process-improvement implementation.
  • Lead or collaborate on data science projects and processes, including project identification, scope development, implementation, and long-term operations and maintenance.
  • Optimize databases within Customer Operations.

Benefits

  • Remote/telecommuting work is available for up to six days per month under company policy.
  • Up to a 12% Short-Term Incentive Plan target opportunity, at the discretion of the company.
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