Data Analytics using Business Intelligence tools in this project helped us analyze the trends in the job market based on countries, timelines, job profiles and salaries. This data allows comparison of salaries across countries for different job profiles over time and shows how job market evolved over years.
4. Introduction
The dataset is based on job market metrics like
salaries, job industries, occupation, countries etc.
Contains historical data from year 1983 to 1999
Contains wage data of 132 countries
Data source EconomicsWebInstitute.org
7. Data Normalization
Cleaning the dataset
Removed entries with inappropriate values (1%)
Removed entries with NULL values (0.5%)
Consolidated dataset from different year ranges
Normalized dataset to meet single standard of comparison
Wage rate was standardized to USD
Exchange rate was taken care for country to country and
time to time
18. Business Value
The analysis can be used by
Job boards like glassdoor, LinkedIn etc. to recommend
potential employers to candidates based on their profile and
the job industries
University career services department to help students target
specific occupation by considering average salary metrics by
locations, growing trends etc.
This analysis can further be extended to make future
predictions in job trends
19. Conclusion
The world has seen major shifts in the changing job
markets
Worlds largest economies have shown significant rise
in the average salaries in many job industries
Results will help us compare the historical data and
hence carry out predictive analysis to save cost and
build better solution useful to various organizations