The global mining industry experienced a 20% rise in new job postings related to social responsibility in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Social Responsibility in Mining – Hiring Activity in Q3 2022. This compares to a 125% increase versus Q3 2021.
Notably, Miscellaneous Engineers jobs accounted for a 4% share of the global mining industry’s social responsibility-related total new job postings in Q3 2022, up 17% over the prior quarter.
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Miscellaneous Engineers, with a share of 4%, emerged as the top social responsibility-related job roles within the mining industry in Q3 2022, with new job postings rising by 17% quarter-on-quarter. Occupational Health and Safety Specialists and Technicians came in second with a share of 3% in Q3 2022, with new job postings rising by 18% over the previous quarter.
The other prominent social responsibility roles include Computer and Information Systems Managers with a 2% share in Q3 2022, Software and Web Developers, Programmers, and Testers 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, Cummins, Komatsu and Eaton Corporation. Together they accounted for a combined share of 42% of all social responsibility-related active jobs in the mining industry.
ThyssenKrupp posted 1,851 social responsibility-related new jobs in Q3 2022, Cummins 1,757 jobs, Komatsu 1,337 jobs, and Eaton Corporation 830 jobs, according to GlobalData’s Job Analytics.
The largest share of social responsibility-related new job postings in the mining industry in Q3 2022 was in the US with 49% followed by Canada (10%) and Australia (10%). The share represented by the US was two percentage points lower than the 51% 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.
