social hiring in global mining industry rise by 20% in Q3 2022

New social-related jobs in the global mining industry rose 20% in Q3 2022 compared to the previous quarter, according to GlobalData’s Jobs Analytics. This is compared to a 20% increase in the previous quarter and a 125% increase compared to Q3 2021.

In particular, Miscellaneous Engineer jobs accounted for a 4% share of the global mining industry’s total social new jobs in Q3 2022, up 17% from the previous quarter.

Diverse Engineers drives a socially relevant recruitment activity

Miscellaneous Engineers, with a 4% share, emerged as the top social-related job roles within the mining industry in Q3 2022, with new jobs up 17% quarter-on-quarter. Occupational Health and Safety Specialists and Technicians came in second with a 3% share in Q3 2022, with new jobs up 18% compared to the previous quarter.

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Other prominent social 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 jobs.

The top five companies in the mining industry accounted for 42% of hiring activity

The top companies, in terms of the number of new postings tracked by GlobalData, as of Q3 2022 were ThyssenKrupp , Cummins, Komatsu and Eaton Corporation. Together they represented a combined share of 42% of all active social jobs in the mining industry.

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ThyssenKrupp added 1,851 new socially-related jobs in Q3 2022, 1,757 jobs at Cummins, 1,337 jobs at Komatsu, and 830 jobs at Eaton Corporation, according to GlobalData’s Job Analytics.

The US led hiring activity with a 49% share of total active postings, Q3 2022

The largest share of new social jobs in the mining industry in Q3 2022 was in the US with 49% followed by Canada (10%) and Australia (10%). The share shown by the USA was -2% lower than the 51% share 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 information, 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 around the world. 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 major industries.



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