Analyst – Clean Technologies & Supply Chains

Company: S&P Global
Apply for the Analyst – Clean Technologies & Supply Chains
Location: London
Job Description:

Overview

In this role, you will apply deep industry knowledge to analyze clean technologies and supply chains, delivering actionable insights through reports and client interactions. You will work within the Technologies & Supply Chains team under the Energy Transition umbrella to inform critical business decisions. You’ll build high-quality market analyses, automate processes, and engage clients to translate data into strategic guidance. This is a hands-on role with exposure to global teams and a focus on impactful, data-driven outcomes.

Pay / Benefits

  • Health & Wellness
  • Flexible Downtime
  • Continuous Learning
  • Invest in Your Future
  • Family Friendly Perks
  • Beyond the Basics

Responsibilities

  • Collect, manage and analyze market data across clean technologies to track trends shaping supply chains
  • Produce high-quality quantitative and qualitative regional/global market reports on multiple clean energy technologies and trends
  • Conduct primary research on emerging technologies and supply chain developments with limited public data
  • Support client inquiries by delivering rapid, thorough research findings
  • Help streamline research and data processes to boost team efficiency and data reliability

Key requirements

  • 2+ years of energy-sector analysis experience; strong knowledge of clean energy technologies
  • Background in engineering, economics, finance or related quantitative field plus relevant clean energy experience
  • High critical-thinking and strong communication; ability to work independently and globally
  • Strong analytical, quantitative, and data modeling skills; detail-oriented with tight deadlines
  • Commercially driven with excellent interpersonal skills for internal and external engagement
  • strong communication
  • independence and collaboration in a global team
  • problem-solving
  • analytical
  • data modeling
  • automation

…

Posted: October 21st, 2026