Contribute to reporting and planning processes for the global Offshore business and prepare intelligent financial models, scenario analyses and decision-support materials.

Support selected valuation and impairment testing activities, including data preparation, documentation, model reviews and coordination of required inputs.

Continuously improve management reporting on the financial performance of the global Offshore business, including the preparation of materials for senior management.

Independently develop predictive forecasting and AI-based analytical models that complement established planning approaches, identify key business drivers and strengthen forward-looking financial steering.

Implement explainable and responsible AI solutions and automation processes to enhance analytical capabilities while ensuring transparent and understandable outputs.

Analyse financial and operational data, identify key developments and derive clear insights and recommendations.

Take ownership of defined work packages within Controlling-related projects and ensure their reliable delivery.

Job requirements and experience

Completed university degree or an equivalent qualification.

Relevant professional experience gained through a graduate programme or up to a few years of experience in Corporate Controlling, financial planning and analysis, management reporting or economic evaluation.

Experience in financial modelling, planning, performance management and management reporting, combined with the ability to communicate key analytical findings clearly.

Practical knowledge of analytics or automation tools such as Power BI, Python, SQL, VBA, Power Platform, SAP BW/BI, SAP Analytics Cloud or comparable solutions, together with motivation to apply these skills to AI and generative AI use cases.

Strong analytical and conceptual skills with an interest in connecting financial topics with systems, data and technology.

Ability to structure tasks, ask relevant questions and translate requirements into practical solutions with appropriate guidance.

Reliable and well-organised working style, clear communication, strong teamwork skills and fluency in written and spoken English and German.

Advantageous, but not essential

Completed degree in Business Informatics, Information Systems, Data Science with a finance focus or a comparable interdisciplinary field.

From here, you benefit from many further advantages – Curious? Then click here !

Apply with just a few clicks: ad code 93935, application period: 23/11/2026 . Any questions? Contact HR: Dennis Mielke, renewables-recruiting@rwe.com

We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. #LI-DM1

We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. #inclusionmatters

As a global leader, RWE Offshore Wind is shaping tomorrow's energy on the high seas. We are active across Europe, Japan and Korea. We have already 18 wind farms in operation with an installed capacity of over 3 gigawatts. With over 20 years’ experience in developing, building, operating and maintaining offshore wind farms we have established long-term partnerships, working hand in hand with local businesses and communities. Every year, we invest millions of euros in new offshore wind projects and support harbours, educational programmes, local organisations and more. Our passionate workforce is committed to driving technological and sustainable improvements, delivering construction projects on time and within budget to the highest quality and safety standards, and contributing to the energy world of tomorrow.

Want to learn more about working for RWE Offshore? Join Our Journey Offshore by watching the miniseries including 6 episodes, 5 ambassadors and one exciting trip Offshore.