The global retail industry experienced a 10% 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 Retail – Hiring Activity in Q3 2022. This compares to a 113% increase versus Q3 2021.
Notably, Retail Salespersons jobs accounted for a 16% share of the global retail industry’s social responsibility-related total new job postings in Q3 2022, up 12% over the prior quarter.
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Retail Salespersons, with a share of 16%, emerged as the top social responsibility-related job roles within the retail industry in Q3 2022, with new job postings rising by 12% quarter-on-quarter. Power Plant Operators, Distributors, and Dispatchers came in second with a share of 6% in Q3 2022, with new job postings rise by 33% over the previous quarter.
The other prominent social responsibility roles include Cashiers with a 5% share in Q3 2022, Bakers with a 5% 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 Tesco, Pilot Travel Centers, Target and Walmart. Together they accounted for a combined share of 25% of all social responsibility-related active jobs in the retail industry.
Tesco posted 18,276 jobs in Q3 2022 and registered a rise of 26% over the previous quarter, followed by Pilot Travel Centers with 17,239 jobs and a 20% growth. Target with 9,557 jobs and Walmart with 6,596 jobs, recorded a 113% growth and a 30% decrease, respectively, while Kohl's recorded a 103% increase with 4,274 job postings during Q3 2022.
The largest share of social responsibility-related new job postings in the retail industry in Q3 2022 was in the US with 69% followed by the UK (21%) and Canada (3%). The share represented by the US was five percentage points lower than the 74% 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.
