Business Analyst Job Listings 2024

Dataset Overview:

This dataset contains a curated collection of 921 job listings for Business Analyst positions, scraped ethically from LinkedIn using the Apify platform. The data spans multiple industries and geographical locations, providing insights into current hiring trends, required qualifications, and company expectations for Business Analyst roles. It includes important job details such as company names, locations, contract types, experience levels, and more. This dataset serves as a valuable resource for individuals seeking to explore the Business Analyst job market and identify patterns across different sectors.

Data Science Applications:

While this is a relatively small dataset with fewer than 1,000 entries, it holds potential for several data science applications:

• Exploratory Data Analysis (EDA): Gain insights into Business Analyst hiring trends, locations, and sectors.
• Text Analysis: The job descriptions offer opportunities for text mining, keyword extraction, and sentiment analysis to understand common skill requirements and job responsibilities.
• Job Market Forecasting: Track the publication dates of job listings to identify peaks and troughs in hiring.
• Classification: Predict factors like job application count based on contract type, experience level, and sector.

Data Columns:

1. title: The job title for the position (e.g., "Business Analyst").
2. location: Geographical location of the job (e.g., "United States").
3. publishedAt: Date when the job was posted, in YYYY-MM-DD format.
4. companyName: Name of the hiring company (e.g., "Wipro"). Some entries may not include company names.
5. description: A detailed text describing the job role and company information.
6. applicationsCount: The number of applicants for the job (either specific numbers or general ranges such as "Over 200 applicants").
7. contractType: Specifies whether the job is full-time, part-time, or other contract types.
8. experienceLevel: The required experience level for the position (e.g., "Mid-Senior level," "Associate").
9. workType: Describes the nature of the work (e.g., "Research, Analyst, and Information Technology").
10. sector: Industry or sector in which the company operates (e.g., "IT Services and IT Consulting").

Ethically Obtained Data:

This dataset was ethically scraped from LinkedIn using the Apify platform, adhering to the guidelines and terms of service outlined by LinkedIn for public data collection. No personal or private information was extracted, ensuring compliance with data privacy standards. The dataset is solely intended for educational and analytical purposes.

Acknowledgements:

• Apify: For providing the scraping platform used to ethically collect this data.
• LinkedIn: For being the source of public job listings data.
• DALL·E 3: For potential image generation used to visually enhance the dataset on Kaggle.