The Asia-Pacific mining industry experienced a 29% drop in new job postings in Q3 2023 compared with the previous quarter, with the highest share accounted for by ABB with 988 job postings, according to GlobalData’s analysis of mining company job postings. GlobalData’s Mining: Hiring Trends & Signals Q3 2023 report reveals comprehensive insights into hiring patterns, job roles, required skills, geographical trends, and key themes within the mining industry, facilitating anticipation of future workforce needs. Buy the report here.

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Notably, Architecture and Engineering Occupations jobs accounted for a 12% share of the Asia-Pacific mining industry’s total new job postings in Q3 2023, drop 26% over the prior quarter.

Architecture and Engineering Occupations drive mining industry hiring activity

Architecture and Engineering Occupations, with a share of 12% new job postings, was the occupation with the greatest hiring activity in the Asia-Pacific mining industry in Q3 2023 , ahead of Management Occupations with a 10% share of new job postings.

The other prominent roles included Computer and Mathematical Occupations with a 9% share in Q3 2023, Business and Financial Operations Occupations with an 8% share and Office and Administrative Support Occupations with a 7% share of new job postings.

Top five companies accounted for 41% of hiring activity

ABB posted 988 jobs in Q3 2023 and registered a growth of 33% over the previous quarter, followed by Orica with 942 jobs and a 51% drop. Caterpillar, with 660 jobs, and Rio Tinto, with 518 jobs, recorded an 11% drop and a 6% rise, respectively, while Cummins recorded a 68% decline with a 472 new job postings during Q3 2023.

Regional analysis of hiring in the Asia-Pacific mining industry, Q3 2023

Australia held the leading share of the Asia-Pacific mining hiring activity with a 50.06% share, a 33% decrease over Q2 2023. India was next with 26.01%, four-percentage-point down over the previous quarter.

For further understanding of GlobalData's Mining: Hiring Trends & Signals Q3 2023, buy the report here.

This content was updated on 8 October 2023

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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.