The North American aerospace, defence and security industry experienced a 20% drop in new job postings in Q1 2023 compared with the previous quarter, with the highest share accounted for by Raytheon Technologies with 15,868 job postings, according to GlobalData’s analysis of aerospace, defence and security company job postings. Buy the report here.
Notably, Computer and Mathematical Occupations jobs accounted for a 16% share of the North American aerospace, defence and security industry’s total new job postings in Q1 2023, drop 23% over the prior quarter.
Computer and Mathematical Occupations drive aerospace, defence and security hiring activity
Computer and Mathematical Occupations, with a share of 16% new job postings, was the occupation with the greatest hiring activity in the North American aerospace, defence and security industry in Q1 2023 , ahead of Architecture and Engineering Occupations with a 16% share of new job postings.
The other prominent roles included Management Occupations with an 8% share in Q1 2023, Business and Financial Operations Occupations with a 6% share and Production Occupations with a 6% share of new job postings.
Top five companies accounted for 52% of hiring activity
Raytheon Technologies posted 15,868 jobs in Q1 2023 and registered a growth of 106% over the previous quarter, followed by Leidos with 8,317 jobs and a 212% growth. Northrop Grumman, with 5,509 jobs, and Huntington Ingalls Industries, with 2,737 jobs, recorded a 53% drop and a 30% drop, respectively, while PAE recorded a 51% decline with a 2,009 new job postings during Q1 2023.
Regional analysis of hiring in the North American aerospace, defence and security industry, Q1 2023
The US held the leading share of the North American aerospace, defence and security hiring activity with a 96.45% share, a 21% decrease over Q4 2022. Canada was next with 3.05%, four-percentage-point down 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.
