The global consumer industry experienced a 4% 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 Consumer – Hiring Activity in Q3 2022. This compares to a 125% increase versus Q3 2021.
Notably, Dining Room and Cafeteria Attendants and Bartender Helpers jobs accounted for a 3% share of the global consumer industry’s social responsibility-related total new job postings in Q3 2022, up 7% over the prior quarter.
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Dining Room and Cafeteria Attendants and Bartender Helpers, with a share of 3%, emerged as the top social responsibility-related job roles within the consumer industry in Q3 2022, with new job postings rising by 7% quarter-on-quarter. General and Operations Managers came in second with a share of 3% in Q3 2022, with new job postings rising by 22% over the previous quarter.
The other prominent social responsibility roles include First-Line Supervisors of Production and Operating Workers with a 3% share in Q3 2022, Driver/Sales Workers and Truck Drivers with a 2% 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 Stonegate PubLtd, Rich Products, Pizza Hut and Sodexo. Together they accounted for a combined share of 13% of all social responsibility-related active jobs in the consumer industry.
Stonegate PubLtd posted 4,253 social responsibility-related new jobs in Q3 2022, Rich Products 2,689 jobs, Pizza Hut 2,389 jobs, and Sodexo 1,330 jobs, according to GlobalData’s Job Analytics.
The largest share of social responsibility-related new job postings in the consumer industry in Q3 2022 was in the US with 68% followed by the UK (15%) and Canada (3%). The share represented by the US was 0.83 percentage points higher than the 67% 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.
