The Asia-Pacific aerospace, defence and security industry experienced a 3% drop in new job postings in Q2 2023 compared with the previous quarter, with the highest share accounted for by RTX with 1,402 job postings, according to GlobalData’s analysis of aerospace, defence and security company job postings. Buy the report here.
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Notably, Computer and Mathematical Occupations jobs accounted for a 22% share of the Asia-Pacific aerospace, defence and security industry’s total new job postings in Q2 2023, drop 15% over the prior quarter.
Computer and Mathematical Occupations drive aerospace, defence and security hiring activity
Computer and Mathematical Occupations, with a share of 22% new job postings, was the occupation with the greatest hiring activity in the Asia-Pacific aerospace, defence and security industry in Q2 2023 , ahead of Management Occupations with an 11% share of new job postings.
The other prominent roles included Architecture and Engineering Occupations with a 10% share in Q2 2023, Business and Financial Operations Occupations with a 7% share and Office and Administrative Support Occupations with a 4% share of new job postings.
Top five companies accounted for 61% of hiring activity
RTX posted 1,402 jobs in Q2 2023 and registered a decline of 15% over the previous quarter, followed by Thales with 787 jobs and a 30% growth. Airbus, with 379 jobs, and BAE Systems, with 354 jobs, recorded a 63% rise and a 7% drop, respectively, while V2X recorded a 163% increase with a 155 new job postings during Q2 2023.
Regional analysis of hiring in the Asia-Pacific aerospace, defence and security industry, Q2 2023
India held the leading share of the Asia-Pacific aerospace, defence and security hiring activity with a 44.94% share, a 20% decrease over Q1 2023. Australia was next with 19.58%, four-percentage-point up over the previous quarter.
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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 Job 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.
