The global mining industry experienced a 1% rise in new job postings related to cybersecurity in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Cybersecurity in Mining – Hiring Activity in Q3 2022. This compares to an 104% increase versus Q3 2021.
Notably, Software and Web Developers, Programmers, and Testers jobs accounted for an 11% share of the global mining industry’s cybersecurity-related total new job postings in Q3 2022, down 9% over the prior quarter.
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Software and Web Developers, Programmers, and Testers, with a share of 11%, emerged as the top cybersecurity-related job roles within the mining industry in Q3 2022, with new job postings drop by 9% quarter-on-quarter. Database and Network Administrators and Architects came in second with a share of 9% in Q3 2022, with new job postings rising by 28% over the previous quarter.
The other prominent cybersecurity roles include Electrical and Electronics Engineers with a 4% share in Q3 2022, Engineering Technologists and Technicians, Except Drafters with a 4% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Eaton Corporation, ABB, Caterpillar and ThyssenKrupp. Together they accounted for a combined share of 5% of all cybersecurity-related active jobs in the mining industry.
Eaton Corporation posted 897 cybersecurity-related new jobs in Q3 2022, ABB 105 jobs, Caterpillar 96 jobs, and ThyssenKrupp 81 jobs, according to GlobalData’s Job Analytics.
The largest share of cybersecurity-related new job postings in the mining industry in Q3 2022 was in the US with 41% followed by India (21%) and China (4%). The share represented by the US was three percentage points higher than the 38% share it accounted for in Q2 2022.
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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.
