M anager W h ite C ol l ar B l ue C ol l ar M anager W h ite C ol l ar B l ue C ol l ar 2 0 2 1 2 0 2 2 2 0 2 3 W omen M an 8 3 2 6 2 9 4 6 7 1 0 4 2 5 3 7 5 3 7 M anager W h ite C ol l ar B l ue C ol l ar 1 4 5 2 0 3 3 5 3 7 M anag er W h ite C ol l ar B l u e C ol l ar 2 0 2 1 2 0 2 2 2 0 2 3 A ged 3 0 - 5 0 A ged > 5 0 A ged < 3 0 A ged 3 0 - 5 0 A ged > 5 0 A ged < 3 0 A ged 3 0 - 5 0 A ged > 5 0 A ged < 3 0 3 1 9 3 2 0 1 4 1 0 2 9 1 2 0 2 0 1 1 1 2 3 3 3 3 2 9 1 6 0 1 2 7 1 5 3 1 3 1 4 9 2 3 In addition to the above-mentioned employees, there are 2 8 ad d itional m em b ers of staff, namely an intern, p l ac ed in th e c ommerc ial d ep artment to d eal w ith ord er entry, data entry and foreign invoicing. With regard to this, the company makes use of the Linkedin platform and university universities in the area to search for young people to be included in internships, while the staff included in a contract are selected directly by the contractor from whom the service is requested depending on the workload. The analysis of the Group’s population by gender shows a majority of employees are male, mainly working on tasks in the corporate context, especially blue collar workers. On the other hand there is a greater gender balance, shifted towards women, as far as office workers are concerned. The company population has nevertheless mainly been distributed in the 30-50 age category throughout the last th ree y ears. G rap h 3 : No. of em p l oy ees 1 1 b y gend er, b y p rof es s ional c ategory G rap h 4 : No. of em p l oy ees b y age group , b y p rof es s ional c ategory 1 1 The company does not require employees to specify their gender, but obtains the information indirectly through their social security number. For this reason, no employee falls into the ‘other’ or ‘not reported’ categories. 54
RkJQdWJsaXNoZXIy MjM2MTk=