This project leverages data storytelling to analyze and simplify the employment landscape in Saudi Arabia for fresh graduates. The goal is to provide actionable insights and alleviate the anxiety of navigating the job market. By focusing on key questions such as job location distribution, gender preferences in job postings, salary expectations for fresh graduates, and opportunities for entry-level vs. experienced professionals, this project empowers job seekers with data-driven recommendations.
The project addresses the following questions:
- What proportion of job postings is attributed to each region within Saudi Arabia?
- Is there a gender preference indicated in the job postings?
- What is the expected salary range for fresh graduates?
- Are job opportunities predominantly targeted at individuals with experience, or is there room for fresh graduates as well?
The analysis is based on job postings data in Saudi Arabia, collected from the Jadara platform. The dataset is available on Kaggle.
The project follows the standard steps of a data science workflow:
- Defining the problem statement.
- Collecting and preparing data.
- Conducting exploratory data analysis (EDA).
- Visualizing and communicating results through a data storytelling approach.
- Where are the Jobs?: Regional distribution of job postings with a focus on major hubs like Riyadh and Makkah.
- Males vs. Females: Gender preferences in job postings, emphasizing gender-neutral opportunities.
- Salary Expectations: Analysis of salary ranges for fresh graduates.
- Fresh Graduates vs. Experienced Professionals: Insights into the availability of entry-level roles.
The project results are presented in a clear, visual data story format to provide guidance for fresh graduates, like Aziz, as they enter the job market. These insights can help inform job search strategies, salary negotiations, and location preferences.
This is the link for the live data story-telling Streamlit (Note: if the link isn't working, check below to see the live results)
