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Working Student Renewable Energy Analytics (F/M/D)

Posted on Nov. 21, 2025

  • Part Time

Working Student Renewable Energy Analytics (F/M/D)

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We are looking for a motivated and analytically minded individual to join our team as a working student in Renewable Energy Analytics. This position offers a unique opportunity to gain hands-on experience in the fast-growing renewables sector - analysing projects, evaluating performance, and supporting data-driven decision-making across energy portfolios

We are looking for a motivated and analytically minded individual to join our team as a working student in Renewable Energy Analytics. This position offers a unique opportunity to gain hands-on experience in the fast-growing renewables sector - analysing projects, evaluating performance, and supporting data-driven decision-making across energy portfolios.

Your responsibilities

  • Support financial and technical evaluations of renewable energy projects (wind, solar, and other low-carbon assets).
  • Conduct market and trend analyses on energy prices, capacity factors, and regional developments.
  • Assist in project performance tracking and reporting using Excel, Power BI, Databricks or similar tools.
  • Contribute to modelling and simulation activities to assess production and risk scenarios.
  • Work closely with senior analysts to interpret data and present actionable insights.
  • Currently enrolled in a university degree desirably in the following fields: Engineering, Mathematics, Economic, Energy Engineering or related subject.

Your profile

  • Strong analytical and problem-solving mindset, with attention to detail.
  • Knowledge or a strong interest in renewable energy markets, technologies, and sustainability trends.
  • Understanding of financial evaluation methods such as NPV, IRR, or sensitivity analysis.
  • Basic to intermediate Python skills (e.g., data cleaning, visualization, or statistical analysis).
  • Proficiency in Excel; familiarity with Power BI or similar tools is advantageous.
  • Team-oriented, eager to learn, and comfortable working in a dynamic environment.

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