Notably, Architecture and Engineering Occupations jobs accounted for a 13% share of the global mining industry’s future of work-related total new job postings in Q2 2023, down 38% over the prior quarter.
Architecture and Engineering Occupations drive future of work-related hiring activity
Architecture and Engineering Occupations, with a share of 13%, emerged as the top future of work-related job roles within the mining industry in Q2 2023, with new job postings drop by 38% quarter-on-quarter. Computer and Mathematical Occupations came in second with a share of 12% in Q2 2023, with new job postings dropping by 40% over the previous quarter.
The other prominent future of work roles include Production Occupations with a 10% share in Q2 2023, Management Occupations with a 8% share of new job postings.
Top five companies in mining industry accounted for 36% of hiring activity
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q2 2023 were ABB, Caterpillar, Cummins, Flowserve, and Orica. Together they accounted for a combined share of 36% of all future of work-related new jobs in the mining industry.
ABB posted 1,155 future of work-related new jobs in Q2 2023, Caterpillar 591 jobs, Cummins 344 jobs, Flowserve 250 jobs, and Orica 247 jobs, according to GlobalData’s Job Analytics.
Hiring activity was driven by the US with a 47.51% share of total new job postings, Q2 2023
The largest share of future of work-related new job postings in the mining industry in Q2 2023 was in the US with 47.51% followed by India (7.35%) and Canada (6.88%). The share represented by the US was two percentage points lower than the 49.39% share it accounted for in Q1 2023.
For further understanding of GlobalData’s Future of Work – Thematic Research buy the report here.
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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.
