The Brazilian automotive industry experienced a 9% drop in new job postings in Q3 2023 compared with the previous quarter, with the highest share accounted for by Robert Bosch with 169 job postings according to GlobalData’s analysis of automotive company job postings. GlobalData’s Automotive: Hiring Trends & Signals Q3 2023 report reveals comprehensive insights into hiring patterns, job roles, required skills, geographical trends, and key themes within the automotive industry, facilitating anticipation of future workforce needs. Buy the report here.
Smarter leaders trust GlobalData
Notably, Computer and Mathematical Occupations jobs accounted for a 5% share of the Brazilian automotive industry new job postings in Q3 2023, down by 35% over the prior quarter.
Computer and Mathematical Occupations drive automotive industry hiring activity
Of the industry's total hiring activity, the highest number of new job postings were for Computer and Mathematical Occupations, which accounted for 5% of the total new job postings in Q3 2023 and were down by 65% year-on-year. Second highest were Life, Physical, and Social Science Occupations, which accounted for 5% and drop by 35% year-on-year, and third highest were Business and Financial Operations Occupations, which were 6% of the new job postings and 68% lower year-on-year.
Top five companies in automotive industry accounted for 68% of hiring activity
The highest number of jobs were posted by Robert Bosch with 169, followed by Marcopolo with 146, while the highest increase was at General Motors at 20%.
For further understanding of GlobalData's Automotive: Hiring Trends & Signals Q3 2023, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
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.
