The global travel and tourism industry experienced a 6% drop 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 Travel & Tourism – Hiring Activity in Q3 2022. This compares to a 171% increase versus Q3 2021.
Notably, Supervisors of Food Preparation and Serving Workers jobs accounted for an 8% share of the global travel and tourism industry’s social responsibility-related total new job postings in Q3 2022, up 8% over the prior quarter.
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Supervisors of Food Preparation and Serving Workers, with a share of 8%, emerged as the top social responsibility-related job roles within the travel and tourism industry in Q3 2022, with new job postings rising by 8% quarter-on-quarter. General and Operations Managers came in second with a share of 7% in Q3 2022, with new job postings drop by 4% over the previous quarter.
The other prominent social responsibility roles include Cooks with a 4% share in Q3 2022, Food Service Managers 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 Marriott International, Hilton Worldwide Holdings, Accor and Hyatt Hotels. Together they accounted for a combined share of 29% of all social responsibility-related active jobs in the travel and tourism industry.
Marriott International posted 4,902 social responsibility-related new jobs in Q3 2022, Hilton Worldwide Holdings 1,840 jobs, Accor 1,283 jobs, and Hyatt Hotels 1,158 jobs, according to GlobalData’s Job Analytics.
The largest share of social responsibility-related new job postings in the travel and tourism industry in Q3 2022 was in the US with 66% followed by the UK (6%) and Canada (4%). The share represented by the US was four percentage points lower than the 71% 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.
