The global power industry experienced a 22% rise in new job postings related to environmental sustainability in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Environmental Sustainability in Power – Hiring Activity in Q3 2022. This compares to a 118% increase versus Q3 2021.
Notably, Computer and Information Systems Managers jobs accounted for a 4% share of the global power industry’s environmental sustainability-related total new job postings in Q3 2022, up 59% over the prior quarter.
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Computer and Information Systems Managers, with a share of 4%, emerged as the top environmental sustainability-related job roles within the power industry in Q3 2022, with new job postings rising by 59% quarter-on-quarter. Software and Web Developers, Programmers, and Testers came in second with a share of 3% in Q3 2022, with new job postings rising by 59% over the previous quarter.
The other prominent environmental sustainability roles include General and Operations Managers with a 2% share in Q3 2022, Heavy Vehicle and Mobile Equipment Service Technicians and Mechanics with a 2% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Vestas Wind Systems, NextEra Energy, Algonquin Power & Utilities and Hitachi Zosen Inova. Together they accounted for a combined share of 69% of all environmental sustainability-related active jobs in the power industry.
Vestas Wind Systems posted 2,884 environmental sustainability-related new jobs in Q3 2022, NextEra Energy 2,369 jobs, Algonquin Power & Utilities 2,224 jobs, and Hitachi Zosen Inova 1,778 jobs, according to GlobalData’s Job Analytics.
The largest share of environmental sustainability-related new job postings in the power industry in Q3 2022 was in the US with 60% followed by the UK (9%) and Canada (7%). The share represented by the US was seven percentage points lower than the 67% share it accounted for in Q2 2022.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Jobs Analytics uses machine learning to uncover key insights from tracking daily job postings for thousands of companies globally. Proprietary analysis is used to group jobs into key thematic areas and granular sectors across the world’s largest industries. classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
