The European mining industry experienced a 2% rise in new job postings in Q1 2023 compared with the previous quarter, with the highest share accounted for by Constellium with 2,043 job postings, according to GlobalData’s analysis of mining company job postings. Buy the report here.
Smarter leaders trust GlobalData
Notably, Management Occupations jobs accounted for a 10% share of the European mining industry’s total new job postings in Q1 2023, drop 2% over the prior quarter.
Management Occupations drive mining hiring activity
Management Occupations, with a share of 10% new job postings, was the occupation with the greatest hiring activity in the European mining industry in Q1 2023 , ahead of Architecture and Engineering Occupations with a 9% share of new job postings.
The other prominent roles included Computer and Mathematical Occupations with a 6% share in Q1 2023, Business and Financial Operations Occupations with a 6% share and Office and Administrative Support Occupations with a 5% share of new job postings.
Top five companies accounted for 43% of hiring activity
Constellium posted 2,043 jobs in Q1 2023 and registered a growth of 176% over the previous quarter, followed by Sulzer with 1,470 jobs and a 137% growth. Eaton, with 1,462 jobs, and ABB, with 1,181 jobs, recorded a 283% rise and a 45% drop, respectively, while Novolipetsk Steel recorded a 36% increase with a 932 new job postings during Q1 2023.
Regional analysis of hiring in the European mining industry, Q1 2023
France held the leading share of the European mining hiring activity with a 22.17% share, an 18% decrease over Q4 2022. Germany was next with 14.41%, four-percentage-point down over the previous quarter.
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 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.
