Notably, Computer and Mathematical Occupations jobs accounted for a 46% share of the global mining industry’s cloud-related total new job postings in Q2 2023, down 37% over the prior quarter.
Computer and Mathematical Occupations drive cloud-related hiring activity
Computer and Mathematical Occupations, with a share of 46%, emerged as the top cloud-related job roles within the mining industry in Q2 2023, with new job postings drop by 37% quarter-on-quarter. Management Occupations came in second with a share of 9% in Q2 2023, with new job postings dropping by 47% over the previous quarter.
The other prominent cloud roles include Installation, Maintenance, and Repair Occupations with a 4% share in Q2 2023, Business and Financial Operations Occupations with a 3% share of new job postings.
Top five companies in mining industry accounted for 40% of hiring activity
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q2 2023 were Caterpillar, Cummins, ABB, Deere & Co, and Norsk Hydro. Together they accounted for a combined share of 40% of all cloud-related new jobs in the mining industry.
Caterpillar posted 126 cloud-related new jobs in Q2 2023, Cummins 106 jobs, ABB 84 jobs, Deere & Co 61 jobs, and Norsk Hydro 49 jobs, according to GlobalData’s Job Analytics.
Hiring activity was driven by the US with a 39.12% share of total new job postings, Q2 2023
The largest share of cloud-related new job postings in the mining industry in Q2 2023 was in the US with 39.12% followed by India (12.32%) and Canada (7.00%). The share represented by the US was four percentage points higher than the 35.08% share it accounted for in Q1 2023.
For further understanding of GlobalData’s Cloud Computing Market Size, Share, Trends Analysis, and Segment Forecast 2022-2026, buy the report here.
This content was updated on 24 July 2023
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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.