πŸ“
Beijing, China

BNEF Carbon Capture and Storage Data Analyst (6-Month Contract)

No experience
Finance
Data / Analytics
Posted:
December 28, 2025

Bloomberg

Financial data, media & analytics provider
77
Palpable Score
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We are looking for a highly motivated, talented individual to join our Sustainable Materials analyst team to undertake research and data analysis on the carbon capture and storage sector. You will be based in our Beijing/ Shanghai office and working as part of a global research team at BNEF – the world's leading independent provider of analysis, tools, data and research to decision makers leading the transition to a low-carbon economy. Our data-driven research helps clients stay on top of developments across the materials, automotive and energy industries, supported by the unique depth and breadth of the Bloomberg Terminal and bnef.com platforms.

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About the company

Bloomberg

Company overview
Bloomberg is a global financial data, software, and media company best known for the Bloomberg Terminal and real-time market news. Bloomberg builds tools used by banks, asset managers, corporates, and governments for trading, analytics, research, and risk workflows. Bloomberg also operates a large newsroom and media businesses alongside the core Bloomberg Professional Services platform. Many early-career roles sit in engineering, data, analytics and sales, customer support, and news.

Locations and presence

Bloomberg lists 159 global locations staffed with over 26,000 employees, with headquarters in New York City. Early-career and internship roles are commonly tied to a specific city office, with program experiences built around the local site and cohort.

Palpable Score

77
/ 100
Bloomberg is a strong early-career employer because the company runs large internship intake across multiple departments and backs this with clear student-facing process guidance in technical hiring. Bloomberg also invests in structured training in several early-career pathways and offers standout benefits, but pay-range transparency is inconsistent across roles and outcomes data (conversion rates, retention, time-to-promotion) is not published.
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