Private-projects / DataCamp Data Analyst in Tableau / Case Study Analyzing Job Market Data in Tableau / Case Study Analyzing Job Market Data in Tableau.md
Case Study Analyzing Job Market Data in Tableau.md
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Problem to solve: Investigate market trends for data science roles.

The context: An employee recruiting firm, DataSearch, needs to uncover job trends.

The dataset: A fictitious collection of key details from the job postings industry.

The task: Discover trends in jobs and skills within data science.

Key characteristics of the data:

  • Key details from job postings from 2017 to 2021 for jobs in the Data and Analytics industry.
  • Each row correlates to a specific job posting in time.
  • One table containing 19 columns.

Key insights:

  • As years of experience increase for a job, so does the associated salary.
  • There is a correlation between job position level (Internship — Executive) and years of experience for a job.
  • About half of the jobs are aimed at Mid-Senior position levels.
  • Job postings from 2017 to 2021 are trending upward.
  • Tech industries need data science roles the most.
  • Data Analyst is the most popular role in data science.
  • Some job postings list up to 10 different required skills for a job.
  • Analyst jobs require Tableau as one of the top 3 skills.