The global sports industry experienced 0.22% 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 Sports – Hiring Activity in Q3 2022. This compares to an 103% increase versus Q3 2021.
Notably, General and Operations Managers jobs accounted for a 3% share of the global sports industry’s environmental sustainability-related total new job postings in Q3 2022, up 16% over the prior quarter.
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General and Operations Managers, with a share of 3%, emerged as the top environmental sustainability-related job roles within the sports industry in Q3 2022, with new job postings rising by 16% quarter-on-quarter. Computer and Information Systems Managers came in second with a share of 3% in Q3 2022, with new job postings rising by 8% over the previous quarter.
The other prominent environmental sustainability roles include Software and Web Developers, Programmers, and Testers with a 2% share in Q3 2022, Database and Network Administrators and Architects with a 1% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Walmart, Waste Management, Australia and New Zealand Banking Group and Shell. Together they accounted for a combined share of 6% of all environmental sustainability-related active jobs in the sports industry.
Walmart posted 2,148 environmental sustainability-related new jobs in Q3 2022, Waste Management 1,835 jobs, Australia and New Zealand Banking Group 1,396 jobs, and Shell 1,082 jobs, according to GlobalData’s Job Analytics.
The largest share of environmental sustainability-related new job postings in the sports industry in Q3 2022 was in the US with 57% followed by the UK (11%) and Australia (4%). The share represented by the US was two percentage points higher than the 55% 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.
