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Aurora Energy Research

Energy Modelling Analyst

Aurora Energy Research

. Develop and maintain Aurora’s suite of energy market models .

Posted 11/3/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining energy market models, utilizing programming languages like Python to analyze quantitative data and derive actionable insights. Strong communication and collaboration skills are essential for conveying insights and enhancing decision-making for clients.

Highest-signal resume keywords
Energy Market ModelingQuantitative Data AnalysisPython ProgrammingStrong Communication SkillsCollaboration with Teams

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Energy Market ModelsData AnalysisComputational Tools DevelopmentModelling Methodology EnhancementAnalytical Skills
Soft Skills
Problem-SolvingClear ReasoningCollaboration Skills
Industry Keywords
PhysicsEngineeringMathematicsComputer ScienceEconomics

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Develop and maintain Aurora’s suite of energy market models
  • Work closely with software and engineering teams to turn Aurora’s models into software delivering actionable insight for real-world energy decisions
  • Collaborate with research and consulting teams to derive insights from model results
  • Contribute to continuously improving modelling team operations
  • Model power markets in the Americas
  • Develop analytical and computational tools
  • Enhance modelling methodology
  • Analyse data and formulate recommendations on future trends
  • Convey insights to enhance clients’ decision-making

Requirements

What you’ll need
  • Relevant degree in Physics, Engineering, Mathematics, Computer Science, Economics or another quantitative field
  • Genuine enjoyment of working through complex problems and ability to explain reasoning clearly
  • Experience working with quantitative data through coursework, projects, or internships, including analysing data and drawing insights
  • Familiarity with at least one programming language, such as Python or similar
  • Strong communication and collaboration skills
  • Proficiency in English (C1 level or above)

Benefits

Comp & perks
  • A fun, informal, collaborative and international work culture
  • A competitive salary package
  • Access to regular coaching and mentoring sessions and the opportunity to learn from experienced professionals
  • Access to the Aurora Academy, our training programme offering a range of opportunities to develop your skills within the responsibilities of your role and within the wider context of the industry
  • Equal employment opportunity commitment
  • Opportunity to start as soon as possible
  • Salary competitive with experience