The Mexican packaging industry experienced a 3% rise in new job postings in Q2 2024 compared with the previous quarter, with the highest share accounted for by Avery Dennison with 69 job postings according to GlobalData’s analysis of packaging company job postings. GlobalData’s Packaging: Hiring Trends & Signals Q2 2024 report reveals comprehensive insights into hiring patterns, job roles, required skills, geographical trends, and key themes within the packaging industry, facilitating anticipation of future workforce needs. Buy the report here.
Smarter leaders trust GlobalData
Notably, Office and Administrative Support Occupations jobs accounted for a 9% share of the Mexican packaging industry new job postings in Q2 2024, down by 41% over the prior quarter.
Office and Administrative Support Occupations drive packaging industry hiring activity
Of the industry's total hiring activity, the highest number of new job postings were for Office and Administrative Support Occupations, which accounted for 9% of the total new job postings in Q2 2024 and were down by 47% year-on-year. Second highest were Business and Financial Operations Occupations, which accounted for 8% and drop by 50% year-on-year, and third highest were Management Occupations, which were 24% of the new job postings and 27% lower year-on-year.
Top five companies in packaging industry accounted for 67% of hiring activity
The highest number of jobs were posted by Avery Dennison with 69, followed by Ball with 46, while the highest increase was at Tetra Pak International at 40%.
For further understanding of GlobalData's Packaging: Hiring Trends & Signals Q2 2024, 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.
