Nodal Analytics Analyst — Energy Market Insights

Aurora Energy Research

Austin (TX)

On-site

USD 70,000 - 110,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Client engagement
Career growth
Team culture
Aurora Academy

Job summary

Aurora Energy Research in Austin, Texas is seeking an Analyst to join our office to develop nodal market forecasts, conduct transmission and congestion analyses, and deliver research products for market participants across the U.S. and Canada.

You will work with a close-knit team, enjoy autonomy, and have opportunities to grow into an industry expert while influencing major energy decisions. The role emphasizes client engagement and data-driven insights.

Qualifications

  • A college degree and evidence of strong academic performance in a quantitative subject.
  • Interest in quantitative analysis and energy markets.
  • Experience with statistical tools and at least one programming language.
  • Ability to learn about and operate a network model.

Responsibilities

  • Develop nodal market forecasts and conduct transmission/congestion analysis.
  • Collaborate with modeling team to structure economic problems into quantifiable analyses.
  • Deliver research and data products to market participants across the U.S. and Canada.
  • Engage with clients to thoroughly understand their requirements and provide insights.
  • Synthesize conclusions into actionable recommendations for clients.

Skills

C++
Python
MATLAB
R
Data analysis
Teamwork
Communication

Education

Quantitative degree
Related field

Tools

MATLAB
Python
R
Excel

Job description

Aurora Energy Research in Austin, Texas is seeking an Analyst to join our office to develop nodal market forecasts, conduct transmission and congestion analyses, and deliver research products for market participants across the U.S. and Canada.

You will work with a close-knit team, enjoy autonomy, and have opportunities to grow into an industry expert while influencing major energy decisions. The role emphasizes client engagement and data-driven insights.

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