The global construction industry experienced a 16% rise in new job postings related to social responsibility in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Social Responsibility in Construction – Hiring Activity in Q3 2022. This compares to a 129% increase versus Q3 2021.
Notably, Computer and Information Systems Managers jobs accounted for a 6% share of the global construction industry’s social responsibility-related total new job postings in Q3 2022, up 25% over the prior quarter.
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Computer and Information Systems Managers, with a share of 6%, emerged as the top social responsibility-related job roles within the construction industry in Q3 2022, with new job postings rising by 25% quarter-on-quarter. General and Operations Managers came in second with a share of 3% in Q3 2022, with new job postings rising by 37% over the previous quarter.
The other prominent social responsibility roles include Maintenance and Repair Workers, General with a 3% share in Q3 2022, First-Line Supervisors of Construction Trades and Extraction Workers 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 PCL Constructors, Kier Group, Black & Veatch and Heery International. Together they accounted for a combined share of 91% of all social responsibility-related active jobs in the construction industry.
PCL Constructors posted 4,487 social responsibility-related new jobs in Q3 2022, Kier Group 3,600 jobs, Black & Veatch 3,051 jobs, and Heery International 2,558 jobs, according to GlobalData’s Job Analytics.
The largest share of social responsibility-related new job postings in the construction industry in Q3 2022 was in the US with 59% followed by the UK (14%) and Canada (12%). The share represented by the US was four percentage points lower than the 63% 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.
