The European apparel industry experienced a 6% drop in new job postings in Q1 2023 compared with the previous quarter, with the highest share accounted for by Tesco with 18,253 job postings, according to GlobalData’s analysis of apparel company job postings. Key aspects of the Europe apparel market, including market sizing and trend analysis by segment (value & volume), price positioning, and leading brands in the clothing and footwear categories are covered in GlobalData’s Europe Apparel Market report. Buy the report here.
Notably, Sales and Related Occupations jobs accounted for a 14% share of the European apparel industry’s total new job postings in Q1 2023, drop 32% over the prior quarter.
Sales and Related Occupations drive apparel hiring activity
Sales and Related Occupations, with a share of 14% new job postings, was the occupation with the greatest hiring activity in the European apparel industry in Q1 2023 , ahead of Office and Administrative Support Occupations with a 7% share of new job postings.
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The other prominent roles included Management Occupations with a 7% share in Q1 2023, Production Occupations with a 4% share and Transportation and Material Moving Occupations with a 4% share of new job postings.
Top five companies accounted for 60% of hiring activity
Tesco posted 18,253 jobs in Q1 2023 and registered a growth of 27% over the previous quarter, followed by Aldi Einkauf with 16,010 jobs and a 160% growth. J Sainsbury, with 7,019 jobs, and REWE Group, with 5,118 jobs, recorded a 12% rise and a 26% drop, respectively, while Wm Morrison Supermarkets recorded a 9% increase with a 3,924 new job postings during Q1 2023.
Regional analysis of hiring in the European apparel industry, Q1 2023
The UK held the leading share of the European apparel hiring activity with a 49.49% share, a 3% decrease over Q4 2022. Germany was next with 15.34%, four-percentage-point down over the previous quarter.
For further understanding of GlobalData's Europe Apparel Market , buy the report here.
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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 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.
