Entelo, the recruiting automation platform that modernizes hiring, today announced the results of an analysis of its database of 450 million candidate profiles. The Entelo Women in Tech Report quantifies inequality in terms of gender disparity by job title, region and seniority. In its analysis of nearly half a billion candidate profiles, Entelo found staggering gaps between the numbers and roles of women in tech vs. men, gaps that were consistent across the country. Further, the data showed a 50 percent drop in representation from women when comparing entry-level to executive roles within the technology industry.
By analyzing its massive database, Entelo created a fresh and detailed picture of the current status of women in tech. Report findings include:
- Overall only 18 percent of roles in tech, including engineering, data science, product design and more, are held by women in the U.S., and the ratio falls even more sharply when considering seniority.
- The more senior the position, the lower the proportion of women. While at entry level and mid-level, women account for 19 percent of tech roles. At the senior level, the percentage drops to 16 percent, and at the executive level, only 10 percent of roles in tech are held by women.
- The proportion of women in tech also varies by function. When looking at engineering, data science, and product design roles specifically, Entelo found that engineering had the lowest percentage of women (17 percent) while product design has the highest (36 percent).
- Additionally, by region, gender diversity in tech is nearly identical from the west coast to the midwest to the east coast. On the west coast, women accounted for 18 percent while the midwest saw 17 percent. On the east coast, 19 percent of tech roles were filled by women.
“Despite all of the discussions, calls to action, and programs being put forth to increase the number of women in tech, the numbers plainly indicate that we are not there yet,” said Yasmin Zarabi, VP of Corporate Partnerships and Business Development at Entelo. “The data science team at Entelo conducted this assessment because we believe that more information brings greater awareness, and awareness creates change. We encourage companies to take a close look at their makeup and hiring practices moving forward. There are recruiting tools out there to help companies ensure they have a rich and diverse candidate pool to pull from, though it’s the responsibility of individual organizations to utilize them.”
Entelo’s proprietary algorithm allows companies to search for candidates from underrepresented groups based on gender, race/ethnicity, and veteran status. Diversity information is presented with candidate’s matched skill-set and qualifications; and Entelo allows recruiters to review anonymized search results so that companies can objectively hire qualified and diverse candidates. To learn more, visit www.entelo.com.
Report Methodology: This report is based on the Entelo database of 450 million candidate profiles, analyzed using proprietary machine learning algorithms to examine approximately one billion job changes, to deeply understand the careers of U.S.-based candidates. Candidate profiles include available demographic information such as race and gender in addition to resume information, skill sets and other work-related attributes found across the web. For the purposes of this report, the Entelo team looked at the most popular technical job titles in our database including engineering, data science, product design and others across companies of all industries. Findings are based on data collected through March 1, 2018.