The global mining industry experienced a 9% drop in new job postings related to cloud in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Cloud in Mining – Hiring Activity in Q3 2022. This compares to a 30% increase versus Q3 2021.
Notably, Software and Web Developers, Programmers, and Testers jobs accounted for a 32% share of the global mining industry’s cloud-related total new job postings in Q3 2022, down 14% over the prior quarter.
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Software and Web Developers, Programmers, and Testers, with a share of 32%, emerged as the top cloud-related job roles within the mining industry in Q3 2022, with new job postings drop by 14% quarter-on-quarter. Database and Network Administrators and Architects came in second with a share of 8% in Q3 2022, with new job postings rising by 27% over the previous quarter.
The other prominent cloud roles include Computer and Information Systems Managers with a 4% share in Q3 2022, Computer and Information Analysts with a 3% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Komatsu, W.W. Grainger, Caterpillar and Wartsila. Together they accounted for a combined share of 7% of all cloud-related active jobs in the mining industry.
Komatsu posted 308 cloud-related new jobs in Q3 2022, W.W. Grainger 250 jobs, Caterpillar 207 jobs, and Wartsila 164 jobs, according to GlobalData’s Job Analytics.
The largest share of cloud-related new job postings in the mining industry in Q3 2022 was in the US with 44% followed by India (14%) and Canada (12%). The share represented by the US was two percentage points lower than the 46% 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.
