Energy Storage Market Analyst: Global Revenue & Strategy

Opdenergy; España; On-site; EUR 42,000 - 60,000; Full time

Benefits offered by this job

Free Health insurance

Language and technical training on dem

Flexible transportation support

Job summary

Opdenergy seeks an Energy Storage Market Analyst to study global energy markets, prepare internal reports and monitor regulatory changes. You will build revenue models for standalone and hybrid storage assets and maintain relationships with market consultants to validate assumptions.

The role requires strong financial modeling, Python or MATLAB skills, and the ability to work with cross‑functional teams in a fast‑paced environment. English proficiency is essential.

Qualifications

• At least 2 years of experience in the renewable energy sector.
• Advanced MS Office skills with VBA.
• Proficiency in Python or MATLAB for data analysis and optimization.

Responsibilities

• Develop and maintain revenue models for standalone energy storage and hybrid assets.
• Analyze global energy markets, including contract structures, price dynamics and revenue streams.
• Monitor global regulatory and technological environment.
• Maintain relationships with market consultants and evaluate their assumptions.
• Conduct sensitivity analyses and risk assessments for investment decisions.
• Develop energy trading and market participation strategies for storage assets.
• Collaborate with cross‑functional teams to optimize model performance.

Skills

Global energy markets

Mathematical optimization

Financial modeling

Python or MATLAB

MS Office + VBA

Communication

Cross-functional teamwork

Problem-solving

Organizational skills

Education

Bachelor’s or Master’s degree in Energy/Engineering/Math/Economics

Tools

MS Office

VBA

Python or MATLAB

Job description

Opdenergy seeks an Energy Storage Market Analyst to study global energy markets, prepare internal reports and monitor regulatory changes. You will build revenue models for standalone and hybrid storage assets and maintain relationships with market consultants to validate assumptions.

The role requires strong financial modeling, Python or MATLAB skills, and the ability to work with cross‑functional teams in a fast‑paced environment. English proficiency is essential.