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Global Data Analyst Job Market
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About
This dataset features over 8,400 LinkedIn job listings for Data Analyst positions from the USA, Canada, and Africa. It was compiled out of curiosity to validate common perceptions within the data analysis field by collecting, cleaning, and analysing job data. The dataset provides valuable insights into job titles, companies, detailed job descriptions, work location types (onsite or remote), salary information, company locations, job requirements, and the date jobs were posted. The data was gathered by scraping the LinkedIn platform using a Python script.
Columns
- title: The job title for the listed position.
- company: The name of the company that posted the job opening.
- description: A detailed description of the job role and the company.
- onsite_remote: Indicates whether the employee will be working onsite, remotely, or if it's a hybrid arrangement.
- salary: The salary offered for the job, typically provided as a range (minimum to maximum) and can be yearly or hourly.
- location: The geographical location where the hiring company is based.
- criteria: Specific job requirements, including aspects like seniority level, employment type, job function, and relevant industries.
- posted_date: The date when the job listing was originally published.
- link: The direct URL to the full job listing on LinkedIn.
Distribution
The dataset is typically structured as a data file, most commonly in a CSV format. It contains 2,872 valid records across all nine columns mentioned, representing over 8,400 rows of data analyst job listings. The file size for
linkedin-jobs-africa.csv is 9.79 MB, encompassing all nine distinct columns.Usage
This dataset is well-suited for a variety of analytical applications and use cases, including:
- Analysing prevailing trends in the data analyst job market.
- Understanding typical salary ranges and identifying job opportunities based on location.
- Identifying frequently requested job requirements and desired skill sets for data analyst roles.
- Conducting exploratory data analysis on professional job postings.
- Creating visualisations to illustrate key insights into the job market.
- Gaining strategic insights into the data analysis industry across the USA, Canada, and Africa.
- Supporting career planning for individuals aspiring to become data analysts.
Coverage
- Geographic Scope: The dataset includes job listings from the USA, Canada, and Africa. Within Africa, specific locations covered include Cape Town, Western Cape, South Africa, and Johannesburg, Gauteng, South Africa.
- Time Range: The job postings included in this dataset span from 28th August 2022 to 23rd November 2022.
- Data Focus: The data is specifically focused on Data Analyst positions.
- Update Frequency: This dataset is expected to be updated annually.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: For market research, identifying career pathways, and benchmarking their professional skills.
- Job Seekers: To discover relevant job openings and tailor their applications effectively based on prevailing market demands.
- Recruiters: To gain insights into talent availability, market remuneration, and typical profiles for data analyst roles.
- Researchers: For academic studies on labour market dynamics, employment trends, and job posting analysis.
- Educational Institutions: To inform curriculum development, ensuring alignment with industry requirements for data analysis skills.
Dataset Name Suggestions
- LinkedIn Data Analyst Jobs 2022
- Global Data Analyst Job Market
- USA Canada Africa Data Analyst Listings
- Data Analyst Career Trends
- LinkedIn Job Postings for Data Analysts
Attributes
Original Data Source: Global Data Analyst Job Market
QUALITY