AI-Driven Battery & Renewables Supply Chain Analyst

AI-Driven Battery & Renewables Supply Chain Analyst

Full-Time 45000 - 55000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Analyse and optimise battery, solar, and wind supply chains using AI tools.
  • Company: Modo Energy, a forward-thinking company in the renewable energy sector.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Exciting role with potential for impactful contributions in a dynamic industry.
  • Why this job: Join a mission-driven team and shape the future of renewable energy supply chains.
  • Qualifications: Analytical skills and a passion for renewable energy and technology.

The predicted salary is between 45000 - 55000 Β£ per year.

Modo Energy is hiring a Supply Chain Analyst to build a new research area focused on battery, solar, and wind supply chains.

Based in London, you will report to the Director of European Product and create insights for asset owners and financiers about future costs and delays in the global supply chain.

The role emphasizes tracking trends, developing relationships with global supply chain players, and leveraging AI tooling to build scalable workflows.

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AI-Driven Battery & Renewables Supply Chain Analyst employer: Modo Energy - USA

Modo Energy is an exceptional employer that fosters a dynamic and high-growth work environment, particularly for those passionate about the energy sector. With a strong focus on employee development, we offer competitive salaries, significant commission opportunities, and a culture that encourages innovation and collaboration among talented professionals. Join us in the UK to engage with senior stakeholders and make a meaningful impact in the energy market.

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Contact Details:

Modo Energy - USA Recruitment Team

We think you need these skills to ace AI-Driven Battery & Renewables Supply Chain Analyst

Supply Chain Analysis
Research Skills
Trend Analysis
Relationship Building
AI Tooling
Workflow Development
Cost Analysis