Evaluating Data Analyst Salaries: 6 Highest Paying Industries Around the World

If you’re looking for a new career opportunity in a fast-growing field, consider becoming a data analyst. After all, companies these days highly depend on data for their continued success, and it’s important to have people on their team that can analyze this data. In fact, Forbes.com reported that 92 percent of enterprises are using data and analytics to gain greater insights into marketing.

Most businesses deal with a significant amount of data. Even a single marketing campaign can result in a lot of data to sift through. What does all this data mean? What’s important and what can be discarded? What does this information say about the performance of a particular campaign? How can this data help for future marketing plans? These are just some of the many things that a data analyst will determine. They are trained to spot patterns, collaborate with others, create reports, collect data and set up infrastructures, and other essential tasks. Most companies these days see the value in data analysis, and are in need of qualified data analysts to make sense of this information.

Top paying countries for data analysts

According to PayScale.com, the average salary in the United States for data analysts is $58,876, but this will vary depending on experience and other factors. The United States is one of the highest paying countries when it comes to data analyst salaries. DataScienceCentral.com reports that aside from the United States, the top paying countries worldwide in this sector include Switzerland, Canada, Australia, Netherlands, Germany, Sweden, Denmark, Singapore, and the United Kingdom.

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Highest paying industries for data analysts

When it comes to evaluating data analyst salaries, there is one more significant factor that goes into determining this number, which is the industry that the individual works in. With data from Glassdoor.com, Springboard.com compiled an informative list of some of the highest paying industries for data analysts in the United States, including average annual salaries:

  1. Industry: Natural Resource & Mining
    Average annual U.S. salary: $107,000-$117,000
  2. Industry:Professional, Scientific, and Technical Services
    Average annual U.S. salary: $80,408
  3. Industry: Utilities
    Average annual U.S. salary: $74,000-$79,000
  4. Industry: Finance and Insurance
    Average annual U.S. salary: $70,143
  5. Industry: Information
    Average annual U.S. salary: $69,123
  6. Industry: Manufacturing
    Average annual U.S. salary: $55,000-$59,000

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While salary is certainly an important factor to consider when deciding what industry to work in, it’s also essential to consider what industry would interest you the most. The great thing about working as a data analyst is that because so many industries employ data analysts, there are a lot of options. This means more opportunities throughout your career and the chance to always change things up and challenge yourself.

How to become a data analyst

With more people recognizing the lucrative and exciting industry of data analysis, roles are becoming more competitive. Receiving adequate training is not only essential for ensuring your success as a data analyst, but for standing out amongst the competition. In other words, getting certified in this field can be a great way to learn the skills you need, while also adding an impressive credential to your resume.

At Simplilearn, we offer a wide array of data analysis courses that can help you meet your goals of becoming a certified data analyst. We encourage you to check out some of our popular data analyst education programs: our Tableau Certification Training Course, Business Analytics Expert Master's Program, and our Business Analytics Certification Training with Excel, any of which can have you master data analysis in no time.

About the Author

Shivam AroraShivam Arora

Shivam Arora is a Senior Product Manager at Simplilearn. Passionate about driving product growth, Shivam has managed key AI and IOT based products across different business functions. He has 6+ years of product experience with a Masters in Marketing and Business Analytics.

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