The global mining industry experienced a 1% drop in new job postings related to corporate governance in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Corporate Governance in Mining – Hiring Activity in Q3 2022. This compares to a 23% increase versus Q3 2021.
Notably, Automotive Technicians and Repairers jobs accounted for a 4% share of the global mining industry’s corporate governance-related total new job postings in Q3 2022, down 3% over the prior quarter.
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Automotive Technicians and Repairers, with a share of 4%, emerged as the top corporate governance-related job roles within the mining industry in Q3 2022, with new job postings drop by 3% quarter-on-quarter. Accountants and Auditors came in second with a share of 3% in Q3 2022, with new job postings rising by 75% over the previous quarter.
The other prominent corporate governance roles include First-Line Supervisors of Office and Administrative Support Workers with a 3% share in Q3 2022, Occupational Health and Safety Specialists and Technicians 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, Eaton Corporation, Nexans and BHP. Together they accounted for a combined share of 2% of all corporate governance-related active jobs in the mining industry.
Komatsu posted 256 corporate governance-related new jobs in Q3 2022, Eaton Corporation 229 jobs, Nexans 183 jobs, and BHP 165 jobs, according to GlobalData’s Job Analytics.
The largest share of corporate governance-related new job postings in the mining industry in Q3 2022 was in the US with 37% followed by Australia (16%) and Canada (10%). The share represented by the US was 0.19 percentage points lower than the 38% 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.
