The Asia-Pacific auto industry experienced a 24% drop in new job postings in Q4 2023 compared with the previous quarter, with the highest share accounted for by Li Auto with 1,635 job postings, according to GlobalData’s analysis of auto company job postings. GlobalData’s Automotive: Hiring Trends & Signals Q4 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.

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Notably, Management Occupations jobs accounted for a 12% share of the Asia-Pacific auto industry’s total new job postings in Q4 2023, drop 33% over the prior quarter.

Management Occupations drive auto industry hiring activity

Management Occupations, with a share of 12% new job postings, was the occupation with the greatest hiring activity in the Asia-Pacific auto industry in Q4 2023 , ahead of Computer and Mathematical Occupations with a 12% share of new job postings.

The other prominent roles included Architecture and Engineering Occupations with an 11% share in Q4 2023, Installation, Maintenance, and Repair Occupations with a 5% share and Business and Financial Operations Occupations with a 5% share of new job postings.

Top five companies accounted for 40% of hiring activity

Li Auto posted 1,635 jobs in Q4 2023 and registered a decline of 12% over the previous quarter, followed by Zhejiang Geely Holding Group with 1,200 jobs and a 118% growth. Mahindra & Mahindra, with 1,077 jobs, and Tata Motors, with 674 jobs, recorded a 12% drop and a 144% rise, respectively, while Continental recorded a 33% decline with a 614 new job postings during Q4 2023.

Regional analysis of hiring in the Asia-Pacific auto industry, Q4 2023

India held the leading share of the Asia-Pacific auto hiring activity with a 39.54% share, a 13% decrease over Q3 2023. China was next with 37.37%, 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 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.