Energy Data Analytics Intern

Fort Worth Hispanic Chamber of Commerce

Fort Worth (TX)

On-site

USD 26,000 - 38,000

Full time

2 days ago
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Job summary

Fort Worth Hispanic Chamber of Commerce is seeking an Energy Intern to support the engineering and energy team in addressing water infrastructure energy needs within the ERCOT market. You will analyze data, design solutions, and help optimize operations for multi-megawatt loads while gaining exposure to energy hedge and real-time markets.

The role emphasizes data analysis, modeling with Power-BI/SQL/Python, and effective communication of findings.

Qualifications

  • Less than one (1) year of experience
  • Microsoft Word, Excel, and PowerPoint

Responsibilities

  • Using data to solve problems
  • Data analysis
  • Interest in energy markets and electric power markets
  • Operations optimization for multi-megawatt loads
  • Multi-variate optimization
  • Business process analysis/systems analysis
  • Data analysis and modeling using tools such as Power-BI, SQL, and Python
  • Exposure to transactions in energy hedge, real time market, and day ahead market
  • Field investigations
  • Collecting and organizing energy data into usable formats
  • Communicating solutions to others through presentations, emails, or memos
  • Maintain familiarity with strategic District levels of service
  • Continuous improvement monitoring and innovation efforts
  • Perform other duties as required

Skills

Data analysis

Education

High School Diploma
Enrolled in accredited 4-year college or university majoring in engineering sciences, mathematics, data science, business information systems, or similar analytically focused field
Valid Texas driver’s license

Tools

Microsoft Word
Microsoft Excel
PowerPoint

Job description

Fort Worth Hispanic Chamber of Commerce is seeking an Energy Intern to support the engineering and energy team in addressing water infrastructure energy needs within the ERCOT market. You will analyze data, design solutions, and help optimize operations for multi-megawatt loads while gaining exposure to energy hedge and real-time markets.

The role emphasizes data analysis, modeling with Power-BI/SQL/Python, and effective communication of findings.

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