SEBASTOPOL, CA--(Marketwired - Nov 20, 2014) - "The more you learn, the more you earn," said Roger Magoulas of O'Reilly Media when he announced the 2014 Data Science Salary Survey at Strata + Hadoop World in Barcelona today.

For the second year, O'Reilly Media conducted an anonymous survey to explore the tools successful data analysts and engineers use, and how those tool choices might relate to salary. Over 800 people who work with data responded, reporting from a variety of industries across 53 countries and 41 U.S. states.

The 2014 Data Science Salary Survey presents detailed analysis of how successful data analysts' tool usage correlates with salary increases. The survey also covers the effects of education and experience on salary, discovering that a doctorate degree can add $11,000 per year, while each year of data experience raises annual income $1,400. 

Further findings from the survey include:

  • Average number of tools and median income for all respondents.
  • Distribution of responses by a variety of factors, including age, location, industry, position, and cloud computing.
  • Detailed analysis of tool use, including tool clusters.
  • Correlation of tool usage and salary.

Roger Magoulas, O'Reilly's Research Director, and John King, a data analyst at O'Reilly, wrote the report.

Download this free report to learn more and plug your own variables into the regression model.

Contact Information:

O'Reilly Media:
Maureen Jennings