The South & Central American auto industry experienced a 4% rise in new job postings in Q2 2023 compared with the previous quarter, with the highest share accounted for by Robert Bosch with 211 job postings, according to GlobalData’s analysis of auto company job postings. GlobalData’s Automotive Megatrends and Market Analysis report provides valuable insights into the key megatrends shaping the automotive industry, major players like Apple, Baidu, and Cruise Automation, along with component forecasts. Buy the report here.
Notably, Computer and Mathematical Occupations jobs accounted for a 6% share of the South & Central American auto industry’s total new job postings in Q2 2023, rise 76% over the prior quarter.
Computer and Mathematical Occupations drive auto hiring activity
Computer and Mathematical Occupations, with a share of 6% new job postings, was the occupation with the greatest hiring activity in the South & Central American auto industry in Q2 2023 , ahead of Architecture and Engineering Occupations with a 5% share of new job postings.
The other prominent roles included Business and Financial Operations Occupations with a 4% share in Q2 2023, Management Occupations with a 3% share and Life, Physical, and Social Science Occupations with a 3% share of new job postings.
Top five companies accounted for 51% of hiring activity
Robert Bosch posted 211 jobs in Q2 2023 and registered a growth of 178% over the previous quarter, followed by General Motors with 142 jobs and a 45% growth. Honda Motor, with 120 jobs, and Schaeffler, with 98 jobs, recorded a 56% rise and a 65% drop, respectively, while Renault recorded a 43% decline with a 70 new job postings during Q2 2023.
Regional analysis of hiring in the South & Central American auto industry, Q2 2023
Brazil held the leading share of the South & Central American auto hiring activity with a 57.61% share, a 38% increase over Q1 2023. Colombia was next with 24.46%, 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 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.
