This project seeks to analyse the data analyst job listings found on LinkedIn. The aim of the jobs analysis is to find hidden insights about data analyst jobs such as what skills are most in demand by employers.

This project analyzes a dataset of entry-level data analyst job postings in Europe collected from LinkedIn. The analysis identifies top hiring companies, countries with the most opportunities, and the most common job titles for data analysts. The results are visualized using bar charts for easy interpretation.

Data Analysis using Kaggle Dataset showing LinkedIn Data Analyst Job Postings from late 2022

Analysis of the Data Analyst job market over the last two years, scraped primarily from LinkedIn.

Power BI analysis of LinkedIn job postings (Apr–May 2025) revealing top data roles, hiring companies, and weekly trends. Interactive dashboard built with DAX measures and clean data modeling. Ideal for job seekers, analysts, and recruiters

An end-to-end analysis of over 8,400 LinkedIn job postings to identify key trends in the global Data Analyst job market. Features data cleaning with Python/Pandas and an interactive dashboard built in Power BI to visualize insights.

This repository contains my first data analysis project analyzing LinkedIn job listings for data analyst positions in Africa. It includes data cleaning, analysis, and visualization using Excel. Key insights include identifying the most required Seniority level, Recruitment type, and Workplcae and the Country with the highest number of job listings.

An Excel-based analysis of LinkedIn Data Analyst job postings to uncover top hiring companies, locations, and daily posting trends. The project includes data cleaning, pivot tables, and an interactive dashboard with a month slicer for dynamic insights.

This project seeks to analyse the data analyst job listings found on LinkedIn. The aim of the jobs analysis is to find hidden insights about data analyst jobs such as what skills are most in demand by employers. Following that, I attempt to implement unsupervised Machine Learning by building a K-Means Clustering model.

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Data analysis project exploring LinkedIn job listings for data analyst roles.

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Data Analyst job market analysis using LinkedIn data

A small scale project to analyse Linkedin dataset obtained during October 2023 related to search query "Data Analyst" and "Data Scientist" in the region of Malaysia and Singapore

Analysis of job postings for Data Analyst, BI Analyst, Data Scientist, Data Engineer, and ML Engineer roles on Indeed, Glassdoor, and LinkedIn.

Analyzed 1,000+ U.S. Data Analyst job postings on LinkedIn using web scraping and data analysis.

Exploratory data analysis of LinkedIn job postings to identify demand trends for data analyst roles using Python

This project automates the collection and analysis of LinkedIn job data specifically for data analyst roles across Canada.

Analysis and visualization of four weeks of LinkedIn job listings for full-time, remote data analyst roles

This project analyzes the Australian job market for Data Analyst positions by scraping job postings from LinkedIn and performing comprehensive data analysis. The project provides insights into salary trends, required skills, company preferences, and geographical distribution of data analyst opportunities across Australia.

We are data analysts and we want to analyze the labor market in these roles. For this we are obtaining data from the jobs listed on LinkedIn in areas of data analysis for different countries.

Job Market Prediction is a Python-based project that scrapes Data Analyst job listings from multiple platforms (LinkedIn, Indeed, Glassdoor, etc.) using jobspy, extracts relevant skills from job descriptions, and saves the results in a CSV file for further analysis and visualization in tableau.

A Python-based web scraping project that extracts job listings from LinkedIn for multiple roles such as Data Scientist, Data Analyst, and Software Engineer. It collects key information including job title, company, location, and required skills, enabling analysis of job market trends and in-demand skills. Built using BeautifulSoup and Pandas

A Python-based tool using requests and BeautifulSoup to scrape job postings from LinkedIn based on a specific title (e.g., "Data Analyst") and location. Extracts key details like company, experience level, and contract type, compiling them into a clean CSV file for market analysis.