The Canadian apparel industry experienced a 19% rise in new job postings in Q2 2023 compared with the previous quarter, with the highest share accounted for by TJX with 948 job postings according to GlobalData’s analysis of apparel company job postings. GlobalData’s Apparel Market Size and Trend Analysis Databook provides comprehensive insights into the global apparel market, including historic and forecast market data, value and volume trends, major brand leaders, and category details in each sector. Buy the report here.
Notably, Sales and Related Occupations jobs accounted for an 18% share of the Canadian’s apparel industry new job postings in Q2 2023, up by 16% over the prior quarter.
Sales and Related Occupations drive apparel hiring activity
Of the industry's total hiring activity, the highest number of new job postings were for Sales and Related Occupations, which accounted for 18% of the total new job postings in Q2 2023 and were down by 44% year-on-year. Second highest were Management Occupations, which accounted for 9% and drop by 38% year-on-year, and third highest were Protective Service Occupations, which were 51% of the new job postings and 75% higher year-on-year.
See Also:
Top five companies in apparel accounted for 62% of hiring activity
The highest number of jobs were posted by TJX with 948, followed by Lululemon Athletica with 931, while the highest increase was at Loblaw Companies at 54%.
For further understanding of GlobalData's Apparel Market Size and Trend Analysis by Category, Brand Shares and Forecasts, 2021-2026, buy the report here.
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, 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.
