Description

The dataset contains detailed information about job positions available on Jobinja.ir. It includes job titles, categories, locations, employment types, required experience, salary, skills, gender preferences, military service requirements, education qualifications, and raw job descriptions. The dataset is preprocessed and contains around 26,000 entries

Key Features

• Job Position: The name of the job position.
• Job Category: The category of the job position (e.g., Software Development, Sales, Marketing).
• Job Location: The location of the job position (e.g., Tehran, Isfahan, Remote).
• Employment Type: The type of employment for the job (e.g., Full Time, Part Time, Remote).
• Experience: The required experience for the job (e.g., 1-3 years, 5+ years).
• Salary: The pay offered for the job.
• Company Name: The name of the company offering the job.
• Date of Establishment: The date when the company was established (if available).
• Company Category: The category of the company's business (e.g., Technology, Marketing, Healthcare).
• Company Size: The size of the company in terms of the number of employees (e.g., 2 - 10 employees).
• Company Website: The company's website URL (if available).
• Skills: The skill set required for the job.
• Gender: If there is a specific gender requirement for the job (e.g., Male, Female, Any).
• Military Service: If the employer requires a Military Service Completion Card (MSCC) for the job.
• Education: The minimum educational degree required for the job (e.g., Bachelor's, Master's, Ph.D.).
• Job Description: A raw copy/paste of everything in the job description section.
• Job URL: The URL of the job listing on Jobinja's website.

Potential Use Cases

• Job Market Analysis: Researchers and analysts can use this dataset to gain insights into the job market trends, including the most in-demand job positions, popular industries, and geographical distribution of job opportunities.

• Skill Demand Analysis: Aspiring professionals can analyze the dataset to identify the skills that are frequently required by employers, helping them tailor their skill sets for better career prospects.

• Salary Research: Job seekers and professionals can use the dataset to research salary ranges for different job positions, industries, and experience levels, assisting them in negotiating better compensation packages.

• Gender and Military Service Studies: Sociologists and researchers can explore the dataset to study gender representation in various job roles and investigate how the requirement of military service impacts job opportunities.

• Education and Experience Insights: Educational institutions and training providers can analyze the dataset to understand the minimum education and experience requirements for different job positions, helping them design relevant courses.

• Employment Type Trends: HR professionals and policy-makers can use the dataset to identify the prevalence of full-time, part-time, and remote job opportunities, aiding them in crafting flexible employment policies.

• Recruitment Strategies: Employers and recruitment agencies can leverage the dataset to optimize their hiring strategies by understanding the candidate pool, skill sets, and job preferences in the job market.

• Career Counseling: Career counselors can utilize the dataset to provide data-driven guidance to job seekers, matching their skills and preferences with the most suitable job opportunities.

• Location-Based Job Search: Job seekers can filter and search for job opportunities based on specific locations, enabling them to find job openings in their preferred geographic areas.

• Marketplace for Job Matching: Developers can build job platforms or apps that leverage this dataset to connect job seekers with relevant employers based on their qualifications and preferences.

Link to the github repo of the porject: Github

Data Source: This dataset was compiled from Jobinja.ir