Notably, Computer and Mathematical Occupations jobs accounted for a 33% share of the global consumer industry’s cloud-related total new job postings in Q2 2023, down 38% over the prior quarter.
Computer and Mathematical Occupations drive cloud-related hiring activity
Computer and Mathematical Occupations, with a share of 33%, emerged as the top cloud-related job roles within the consumer industry in Q2 2023, with new job postings drop by 38% quarter-on-quarter. Management Occupations came in second with a share of 14% in Q2 2023, with new job postings dropping by 38% over the previous quarter.
The other prominent cloud roles include Sales and Related Occupations with a 9% share in Q2 2023, Business and Financial Operations Occupations with a 3% share of new job postings.
Top five companies in consumer industry accounted for 26% of hiring activity
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q2 2023 were Scotts Miracle-Gro, Arcelik, LVMH Moet Hennessy Louis Vuitton, Procter & Gamble, and Philip Morris International. Together they accounted for a combined share of 26% of all cloud-related new jobs in the consumer industry.
Scotts Miracle-Gro posted 531 cloud-related new jobs in Q2 2023, Arcelik 110 jobs, LVMH Moet Hennessy Louis Vuitton 97 jobs, Procter & Gamble 93 jobs, and Philip Morris International 85 jobs, according to GlobalData’s Job Analytics.
Hiring activity was driven by the US with a 48.52% share of total new job postings, Q2 2023
The largest share of cloud-related new job postings in the consumer industry in Q2 2023 was in the US with 48.52% followed by India (9.70%) and Germany (4.48%). The share represented by the US was three percentage points lower than the 51.91% share it accounted for in Q1 2023.
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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.
