Notably, Management Occupations jobs accounted for a 10% share of the global mining industry’s corporate governance-related total new job postings in Q2 2023, down 29% over the prior quarter.
Management Occupations drive corporate governance-related hiring activity
Management Occupations, with a share of 10%, emerged as the top corporate governance-related job roles within the mining industry in Q2 2023, with new job postings drop by 29% quarter-on-quarter. Business and Financial Operations Occupations came in second with a share of 8% in Q2 2023, with new job postings dropping by 10% over the previous quarter.
The other prominent corporate governance roles include Architecture and Engineering Occupations with an 8% share in Q2 2023, Office and Administrative Support Occupations with a 7% share of new job postings.
Top five companies in mining industry accounted for 39% of hiring activity
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q2 2023 were Cummins, Cleveland-Cliffs, Caterpillar, GEA Group, and Anglo American. Together they accounted for a combined share of 39% of all corporate governance-related new jobs in the mining industry.
Cummins posted 413 corporate governance-related new jobs in Q2 2023, Cleveland-Cliffs 403 jobs, Caterpillar 236 jobs, GEA Group 172 jobs, and Anglo American 133 jobs, according to GlobalData’s Job Analytics.
Hiring activity was driven by the US with a 39.53% share of total new job postings, Q2 2023
The largest share of corporate governance-related new job postings in the mining industry in Q2 2023 was in the US with 39.53% followed by Australia (12.90%) and Canada (12.10%). The share represented by the US was six percentage points lower than the 45.94% share it accounted for in Q1 2023.
To further understand GlobalData’s analysis on ESG (Environmental, Social, and Governance) Top Trends by Sector – 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.
