The global construction industry experienced a 3% drop in new job postings related to corporate governance in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Corporate Governance in Construction – Hiring Activity in Q3 2022. This compares to a 75% increase versus Q3 2021.
Notably, Computer and Information Systems Managers jobs accounted for a 3% share of the global construction industry’s corporate governance-related total new job postings in Q3 2022, down 29% over the prior quarter.
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Computer and Information Systems Managers, with a share of 3%, emerged as the top corporate governance-related job roles within the construction industry in Q3 2022, with new job postings drop by 29% quarter-on-quarter. General and Operations Managers came in second with a share of 3% in Q3 2022, with new job postings rising by 3% over the previous quarter.
The other prominent corporate governance roles include First-Line Supervisors of Construction Trades and Extraction Workers with a 3% share in Q3 2022, Human Resources Workers with a 3% share of new job postings.
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The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Arcadis UK (Holdings), Arup Group, Black & Veatch and NANA RegionalInc. Together they accounted for a combined share of 14% of all corporate governance-related active jobs in the construction industry.
Arcadis UK (Holdings) posted 1,388 corporate governance-related new jobs in Q3 2022, Arup Group 1,143 jobs, Black & Veatch 1,012 jobs, and NANA RegionalInc 933 jobs, according to GlobalData’s Job Analytics.
The largest share of corporate governance-related new job postings in the construction industry in Q3 2022 was in the US with 55% followed by the UK (9%) and Canada (8%). The share represented by the US was eight 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.
