The global oil & gas industry experienced a 24% rise in new job postings related to environmental sustainability in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Environmental Sustainability in Oil & Gas – Hiring Activity in Q3 2022. This compares to a 134% increase versus Q3 2021.
Notably, Driver/Sales Workers and Truck Drivers jobs accounted for a 3% share of the global oil & gas industry’s environmental sustainability-related total new job postings in Q3 2022, up 206% over the prior quarter.
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Driver/Sales Workers and Truck Drivers, with a share of 3%, emerged as the top environmental sustainability-related job roles within the oil & gas industry in Q3 2022, with new job postings rising by 206% quarter-on-quarter. Computer and Information Systems Managers came in second with a share of 2% in Q3 2022, with new job postings rising by 19% over the previous quarter.
The other prominent environmental sustainability roles include First-Line Supervisors of Production and Operating Workers with a 2% share in Q3 2022, Maintenance and Repair Workers, General with a 2% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Master Builders Solutions Deutschland, Koch Industries, ShawCor and Shell. Together they accounted for a combined share of 24% of all environmental sustainability-related active jobs in the oil & gas industry.
Master Builders Solutions Deutschland posted 1,494 environmental sustainability-related new jobs in Q3 2022, Koch Industries 1,132 jobs, ShawCor 1,109 jobs, and Shell 1,082 jobs, according to GlobalData’s Job Analytics.
The largest share of environmental sustainability-related new job postings in the oil & gas industry in Q3 2022 was in the US with 57% followed by the UK (6%) and Germany (6%). The share represented by the US was one percentage point lower than the 58% 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.
