The global mining industry experienced a 16% 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 Mining – Hiring Activity in Q3 2022. This compares to a 129% increase versus Q3 2021.
Notably, Miscellaneous Engineers jobs accounted for a 3% share of the global mining industry’s environmental sustainability-related total new job postings in Q3 2022, up 27% over the prior quarter.
Miscellaneous Engineers, with a share of 3%, emerged as the top environmental sustainability-related job roles within the mining industry in Q3 2022, with new job postings rising by 27% 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 15% over the previous quarter.
The other prominent environmental sustainability roles include Computer and Information Systems Managers with a 3% share in Q3 2022, Database and Network Administrators and Architects 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 ThyssenKrupp, Eaton Corporation, Wartsila and ABB. Together they accounted for a combined share of 41% of all environmental sustainability-related active jobs in the mining industry.
ThyssenKrupp posted 1,851 environmental sustainability-related new jobs in Q3 2022, Eaton Corporation 1,384 jobs, Wartsila 748 jobs, and ABB 583 jobs, according to GlobalData’s Job Analytics.
The largest share of environmental sustainability-related new job postings in the mining industry in Q3 2022 was in the US with 43% followed by Australia (11%) and Germany (9%). The share represented by the US was 0.38 percentage points lower than the 44% share it accounted for in Q2 2022.
To further understand the key themes and technologies driving hiring activity in the mining industry, access GlobalData’s latest thematic research reports.
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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.
