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Load Modeling and Development Analyst

Electric Reliability Council of Texas
Taylor, USA
Full-time
Mid · 3+ years experience
Onsite
Discovered 6 days ago
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Full Job Posting

EXPERIENCE

  • Experience with load forecasting, weather-driven analytics, statistical or time-series modeling, large datasets, and data analysis tools such as Python, R, SQL, SAS, Excel, Power BI, Tableau, or similar tools is preferred.
  • Operational Load Forecasting — Level 2 / Level 3
  • Level 2: Requires minimum 1 year job-related work experience in excess of degree requirements.
  • Level 3: Requires minimum 3 years job-related work experience in excess of degree requirements.
  • EDUCATION
  • Bachelor’s Degree: Statistics, Applied Mathematics, or Engineering required.
  • Master’s Degree: Statistics, Applied Mathematics, or Engineering preferred.
  • A combination of education and experience that provides equivalent knowledge to a major in such fields is required.
  • The foregoing description reflects the minimum qualifications and the essential functions of the position that must be performed proficiently with or without reasonable accommodation for individuals with disabilities. It is not an exhaustive list of the duties expected to be performed, and management may, at its discretion, revise or require that other or different tasks be performed as assigned. This job description is not intended to create a contract of employment with ERCOT. Both ERCOT and the employee may exercise their employment-at-will rights at any time. #LI-IV1; #Hybrid
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  • ERCOT is firmly committed to equal employment for all qualified persons without regard to race, sex, medical condition, religion, age, creed, national origin, citizenship status, marital status, sexual orientation, physical or mental disability, ancestry, veteran status, genetic information or any other protected category under federal, state or local law.
  • Expected Salary Range:
  • $89,000 - $122,000

Preferred Qualifications

  • Experience with load forecasting, weather-driven analytics, statistical or time-series modeling, large datasets, and data analysis tools such as Python, R, SQL, SAS, Excel, Power BI, Tableau, or similar tools is preferred.
  • Master’s Degree: Statistics, Applied Mathematics, or Engineering preferred.

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