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Research Associate (Power & Renewables)
Описание вакансии
Текст:
TL;DR
Research Associate (Power & Renewables): Support Australia power and renewables research by maintaining datasets, conducting market analysis, and running long-term power market forecast models with an accent on data accuracy, market fundamentals, and structured research workflows. Focus on building reliable data sources, performing quality assurance, and delivering clear evidence-based insights for the Australia market.
Location: Must be based in Australia
Company
is a global leader in analytics, insights, and proprietary data across the energy and natural resources sectors, with a team of 2,700 experts in 30 countries.
What you will do
- Maintain core market datasets and conduct power market analysis for Australia.
- Build and update structured research databases with clear verification and source traceability.
- Monitor policy, market rules, project pipelines, and company disclosures.
- Support production of forward-looking insights and evidence packs.
- Maintain and run Australia long-term power market forecast model (Aurora) with senior guidance.
- Perform data QA checks and improve data reliability across workflows.
Requirements
- 0–3 years experience in energy research, market analysis, or similar analytical roles.
- Must be based in Australia or have strong knowledge of the Australian power and renewables market.
- Strong attention to detail, data accuracy, and structured working style.
- Proficient in Excel and working with structured datasets.
- Clear written and verbal communication in English.
Nice to have
- Exposure to power market modelling tools such as Aurora or Plexos.
- Familiarity with long-term forecasting workflows and scenario analysis.
- Experience supporting insight-focused research outputs in a team environment.
Culture & Benefits
- Inclusive and trusting work environment with customer commitment and future focus.
- Opportunities for learning and proactive growth.
- Support for applicants with disabilities during hiring process.