The global packaging industry experienced a 14% rise 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 Packaging – Hiring Activity in Q3 2022. This compares to a 69% increase versus Q3 2021.
Notably, Maintenance and Repair Workers, General jobs accounted for a 6% share of the global packaging industry’s corporate governance-related total new job postings in Q3 2022, up 24% over the prior quarter.
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Maintenance and Repair Workers, General, with a share of 6%, emerged as the top corporate governance-related job roles within the packaging industry in Q3 2022, with new job postings rising by 24% quarter-on-quarter. Machinists came in second with a share of 6% in Q3 2022, with new job postings drop by 11% over the previous quarter.
The other prominent corporate governance roles include Industrial Production Managers with a 3% share in Q3 2022, Industrial Truck and Tractor Operators with a 3% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Graham PackagingLP, Ball, Avery Dennison and Westrock. Together they accounted for a combined share of 2% of all corporate governance-related active jobs in the packaging industry.
Graham PackagingLP posted 461 jobs in Q3 2022 and registered a drop of 7% over the previous quarter, followed by Ball with 126 jobs and a 2% growth. Avery Dennison with 120 jobs and Westrock with 81 jobs, recorded a 3% decline and a 88% increase, respectively, while Pro Mach recorded a 20% decline with 78 job postings during Q3 2022.
The largest share of corporate governance-related new job postings in the packaging industry in Q3 2022 was in the US with 73% followed by Australia (4%) and the UK (4%). The share represented by the US was 0.65 percentage points lower than the 73% 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 Job 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.
