
Energy Research Analyst
Aurora Energy Research
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • 🇧🇷 Brazil
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Python
About the role
- Develop timely and rigorous quantitative analyses to enhance clients’ decision making
- Work closely with our modelling team, structuring economic problems into quantifiable analyses and deriving insights from the model results
- Contribute to Aurora’s product development by identifying new opportunities and expanding our capabilities
- Engage with clients to thoroughly understand their requirements
- Communicate findings to clients
Requirements
- Required attributes:
- Degree in a quantitative subject (Economics, Engineering, Business, Physics, etc.)
- Interest in or knowledge of power markets and associated policy frameworks
- Ability to collect, analyse and interpret complex quantitative data and information
- Evidence of strong performance in team-oriented environments
- Ability to communicate and collaborate with both technical and non-technical parties
- Proficiency in English (C1 level)
- Written and spoken fluency in Portuguese (C2 level)
- Desirable attributes:
- Existing knowledge of the Brazil market and energy markets in general
- Competence in advanced data analytics (e.g. Python, Advanced Excel)
Benefits
- The opportunity to substantially influence major decisions in the energy sector
- Direct engagement with clients through Aurora conferences, workshops and webinars
- The opportunity to grow into a publicly visible industry expert
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
quantitative analysisdata analyticsPythonAdvanced Excel
Soft skills
communicationcollaborationteam-orientedproblem-solving