Notably, Transportation and Material Moving Occupations jobs accounted for a 23% share of the global consumer industry’s health & wellness-related total new job postings in Q2 2024, up 73% over the prior quarter.
Transportation and Material Moving Occupations drive health & wellness-related hiring activity
Transportation and Material Moving Occupations, with a share of 23%, emerged as the top health & wellness-related job roles within the consumer industry in Q2 2024, with new job postings rising by 73% quarter-on-quarter. Management Occupations came in second with a share of 12% in Q2 2024, with new job postings rising by 8% over the previous quarter.
The other prominent health & wellness roles include Production Occupations with an 8% share in Q2 2024, Office and Administrative Support Occupations with a 6% share of new job postings.
Top five companies in consumer industry accounted for 61% of hiring activity
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q2 2024 were Core-Mark Holding, Coca-Cola Europacific Partners, ASICS, LVMH Moet Hennessy Louis Vuitton, and Ingredion. Together they accounted for a combined share of 61% of all health & wellness-related new jobs in the consumer industry.
Core-Mark Holding posted 4,058 health & wellness-related new jobs in Q2 2024, Coca-Cola Europacific Partners 1,052 jobs, ASICS 810 jobs, LVMH Moet Hennessy Louis Vuitton 264 jobs, and Ingredion 221 jobs, according to GlobalData’s Job Analytics.
Hiring activity was driven by the US with a 69.58% share of total new job postings, Q2 2024
The largest share of health & wellness-related new job postings in the consumer industry in Q2 2024 was in the US with 69.58% followed by Japan (7.72%) and Australia (7.62%). The share represented by the US was one percentage point lower than the 70.17% share it accounted for in Q1 2024.
For further understanding of GlobalData’s Consumer: Hiring Trends & Signals Q2 2024, buy the report here.
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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.
