The Brazilian mining industry experienced a 56% rise in new job postings in Q4 2023 compared with the previous quarter, with the highest share accounted for by Vale with 2,743 job postings according to GlobalData’s analysis of mining company job postings. GlobalData’s Mining: Hiring Trends & Signals Q4 2023 report reveals comprehensive insights into hiring patterns, job roles, required skills, geographical trends, and key themes within the mining industry, facilitating anticipation of future workforce needs. Buy the report here.

Smarter leaders trust GlobalData

Notably, Educational Instruction and Library Occupations jobs accounted for a 43% share of the Brazilian mining industry new job postings in Q4 2023, up by 73% over the prior quarter.

Educational Instruction and Library Occupations drive mining industry hiring activity

Of the industry's total hiring activity, the highest number of new job postings were for Educational Instruction and Library Occupations, which accounted for 43% of the total new job postings in Q4 2023 and were up by 266% year-on-year. Second highest were Architecture and Engineering Occupations, which accounted for 5% and rise by 718% year-on-year, and third highest were Office and Administrative Support Occupations, which were 108% of the new job postings and 112% higher year-on-year.

Top five companies in mining industry accounted for 85% of hiring activity

The highest number of jobs were posted by Vale with 2,743, followed by ArcelorMittal with 189, while the highest increase was at Anglo American at 66%.

For further understanding of GlobalData's Mining: Hiring Trends & Signals Q4 2023, buy the report here.

This content was updated on 6 January 2024

Premium 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

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.