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2020-2021 欧盟数据与分析多样性回顾报告 - Harnham(英文版).pdf

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1、EU DIVERSITY REPORT IN DATA 30% of female respondents compared to 15% of men. Interestingly, in Germany and Spain (the regions which saw a decrease in the overall number of women) a similar thing occurs; 44% and 43% of female respondents, respectively, were in Entry-level positions. So, while we are

2、 seeing some movement in the right direction, and the number of women entering the industry is a promising sign, there is still work to be done. However, an influx of talent at lower levels does also have a side effect. Namely, the gender pay gap. THE STATE OF DIVERSITY THE GENDER DIVIDE 2020 10% 20

3、% 30% Gender Split by Sector All %s of female professionals working within a particular specialism. Data gathered from Harnhams 2020 UK Salary Survey. France/Benelux Germany Nordics Spain DIVERSITY IN DATA & ANALYTICS HARNHAMS 2020 REVIEW - page 4 - For more information visit us at - of Data & Analy

4、tics roles in Europe are held by women according to our survey respondents. Unfortunately, an influx of more junior female talent has led to an increase in the gender pay gap over the past year. While we have seen a drop in the pay gap across Spain, every other region has seen a significant increase

5、 in pay disparity between men and women. Worst of all in Germany, with an astonishing gap of 34%. There are potentially several reasons for this, one of which is that Germany already has one of the largest pay gaps in Europe*. However, given that 44% of female German respondents were in Entry-level

6、roles, this may go some way to explaining why their median salaries were so much lower. The France/Benelux region, which generally has less pay disparity in general thanks to deliberate efforts over the past few years, also sees a Data & Analytics pay gap that is over double the national average. Th

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根据Harnham的2020年数据与分析行业多样性报告,主要内容如下: 1. 女性在数据与分析行业的比例有所上升,但整体仍较低,欧洲地区女性占比为23%。 2. 性别薪酬差距在大多数地区有所扩大,德国的差距最大,为34%。 3. 数据与分析行业以年轻人为主,65%的从业者年龄在35岁以下。 4. 女性在领导岗位上的代表性不足,例如西班牙女性在高级领导岗位的比例仅为6%。 5. 行业中残疾人士的比例极低,仅为1.7%。 6. 女性更看重健康保险和灵活工作,而男性更看重奖金。 7. 报告建议企业从高层做起,创建多元化的项目团队,审查面试小组,建立包容文化,庆祝多样性,不要设定不切实际的目标,并保持透明。
数据分析行业性别差距如何? 数据分析行业中残疾人士占比为何如此之低? 数据分析行业如何提高包容性?
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