Analyst - Renewables Markets
About The Role
Grade Level (for internal use):
10
The Team: S&P Global Energy is the leading provider of Clean Technology & Renewables research and insight and is currently looking to recruit an analyst focused on solar, batteries, energy storage and wind technologies to support its rapidly growing and successful team, which is located across various locations in Europe, Asia, and the Americas.
Responsibilities And Impact
The successful candidate will be keen to apply strong industry knowledge, as well as established and proven analytical, modeling, automation and communication skills, realizing valuable relationships with existing and potential clients and producing high-quality in-depth reports and insights to support the critical business decisions of our customers.
Responsibilities
- Collect, manage and analyze market data across clean energy technologies to track and identify trends that are key to understanding the evolution of renewable energy markets.
- Create high-quality quantitative and qualitative market reports analyzing multiple clean energy technologies, with a focus on Southeast Asia and South Asia.
- Support client engagements by providing quick and comprehensive answers to questions about data and reports through emails and meetings.
- Present S&P Global Energy’s research findings at internal and external conferences, trade shows and client events in Asia.
- Assist in our goal of streamlining research and data processes to increase the efficiency and productivity of the team and maximize the quality and reliability of our data.
What We’re Looking For
Basic Required Qualifications:
The ideal candidate will have at least 3 years of relevant experience, advanced knowledge of the clean energy technology industry, and strong analytical skills. Prior experience of working in a research analyst role is highly valued.
- Bachelor’s degree in engineering, Economics, Finance, or a related field.
- Good communication skills and ability to work both independently and as part of a global team.
- Strong analytical, quantitative, data modeling and problem-solving skills.
- Business-level proficiency in spoken and written English; proficiency in Chinese is highly desirable.
**Additiona...
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