Assessment of the Human Resources database with the special focus on data science positions

Alla Sumkina

Bachelor's thesis

Abstract:

This thesis determines the extent to which factors in career of data scientists affect their desire to change a job position. The analysis is conducted using an HR dataset which is allowed for open usage. The dataset enables to analyze the relationship between factors which can be informative for the future research of Human Resourse managers. The thesis demonstrates the potential of using database of candidates for management research and its usefulness in forming strategic desisions. In the thesis, the appropriate use of the database will be demonstrated, which will contribute to the most focused work of managers. For clarity, the database of data scientists was chosen as the most promising and popular area of the 20th century. Based on the main factor in the database-target, which indicates whether the specialist is currently looking for a job or not, the remaining related factors will be determined by the degree of influence on this main factor. For greater accuracy, statistical methods are used using SAS software. It was determined that the city development factor, relevant experience, university, level of education, major studying or studied discipline, work experience, size of the company in which the candidate works and last new job factor have a relationship with the target. Such factors like gender, the type of company in which the candidate works, and training hours have no relationship with the target. These are factors, that HR managers should not consider crucial during managerial processes. Determined factors influencing the desire of specialists to change jobs allow managers to make targeted proposals for open vacancies and thus find the most perspective candidates according to the company goals.

Keywords

Human Resource Management, Chi-square test, Relative risk, Odds ratio

Language used: English

Date on which the thesis was submitted / produced: 15. 3. 2022

Thesis defence

• Supervisor: Ing. Tomáš Hlavsa, Ph.D.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Bachelor programme:
Economics and Management