Notably, Computer and Mathematical Occupations jobs accounted for a 17% share of the global retail industry’s cybersecurity-related total new job postings in Q2 2023, up 5% over the prior quarter.
Computer and Mathematical Occupations drive cybersecurity-related hiring activity
Computer and Mathematical Occupations, with a share of 17%, emerged as the top cybersecurity-related job roles within the retail industry in Q2 2023, with new job postings rising by 5% quarter-on-quarter. Sales and Related Occupations came in second with a share of 17% in Q2 2023, with new job postings dropping by 24% over the previous quarter.
The other prominent cybersecurity roles include Management Occupations with a 13% share in Q2 2023, Installation, Maintenance, and Repair Occupations with a 8% share of new job postings.
Top five companies in retail industry accounted for 64% of hiring activity
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q2 2023 were Ascena Retail Group, Amazon, Walmart, Inter IKEA, and J Sainsbury. Together they accounted for a combined share of 64% of all cybersecurity-related new jobs in the retail industry.
Ascena Retail Group posted 1,502 cybersecurity-related new jobs in Q2 2023, Amazon 1,268 jobs, Walmart 677 jobs, Inter IKEA 117 jobs, and J Sainsbury 108 jobs, according to GlobalData’s Job Analytics.
Hiring activity was driven by the US with a 74.29% share of total new job postings, Q2 2023
The largest share of cybersecurity-related new job postings in the retail industry in Q2 2023 was in the US with 74.29% followed by the UK (8.24%) and Germany (2.50%). The share represented by the US was 33 percentage points higher than the 41.01% share it accounted for in Q1 2023.
For further understanding of GlobalData’s Cyber Security Market Size, Share, Trends Analysis, and Segment Forecast 2021-2026, buy the report here.
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.
Click Here For The Original Source.
