The Indian auto industry experienced a 3% rise in new job postings in Q2 2024 compared with the previous quarter, with the highest share accounted for by Mahindra & Mahindra with 1,122 job postings according to GlobalData’s analysis of auto company job postings. GlobalData’s Automotive: Hiring Trends & Signals Q2 2024 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, Computer and Mathematical Occupations jobs accounted for a 17% share of the Indian auto industry new job postings in Q2 2024, up by 8% over the prior quarter.

Computer and Mathematical Occupations drive auto 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 17% of the total new job postings in Q2 2024 and were down by 33% year-on-year. Second highest were Management Occupations, which accounted for 13% and drop by 43% year-on-year, and third highest were Architecture and Engineering Occupations, which were 15% of the new job postings and 59% higher year-on-year.

Top five companies in auto industry accounted for 41% of hiring activity

The highest number of jobs were posted by Mahindra & Mahindra with 1,122, followed by Robert Bosch with 1,006, while the highest increase was at CEAT at 31%.

For further understanding of GlobalData's Automotive: Hiring Trends & Signals Q2 2024, buy the report here.

This content was updated on 28 July 2024

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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.