Business Intelligence Buyer's Guide

2023 Big Data Analytics Salary Expectations in the United States

Big Data Analytics Salary Expectations

Big Data Analytics Salary Expectations

Solutions Review explores the state of big data analytics salary in the United States, along with a link to the most popular e-learning training.

Big data analytics has become an essential component of businesses today, enabling organizations to leverage their data to identify insights and make informed decisions. With the growing importance of data-driven decision-making, the demand for skilled professionals who can work with big data continues to increase. As a result, big data analytics salaries in the United States are expected to remain competitive in 2023.

According to a report by PayScale, the national average salary for a big data analyst in the United States is $81,983 per year. However, this figure can vary depending on several factors such as location, industry, experience level, and education. For example, big data analysts in the San Francisco Bay Area can expect to earn an average salary of $99,775 per year, while those in New York City can expect to earn an average salary of $93,954 per year.

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Big Data Analytics Salary Expectations

The industry in which a big data analyst works can also have a significant impact on their salary. According to the same PayScale report, big data analysts in the technology industry can expect to earn an average salary of $86,739 per year, while those in the finance industry can expect to earn an average salary of $79,683 per year. Other industries with high-paying big data analytics roles include healthcare, government, and e-commerce.

Experience level is another key factor that influences big data analytics salaries in the United States. Entry-level analysts with less than one year of experience can expect to earn an average salary of $65,000 per year, while those with 1-3 years of experience can expect to earn an average salary of $75,000 per year. Mid-level analysts with 4-6 years of experience can expect to earn an average salary of $95,000 per year, while senior analysts with 7+ years of experience can expect to earn an average salary of $115,000 per year.

Education is also an important consideration when it comes to big data analytics salaries in the United States. While a bachelor’s degree in a related field such as computer science, statistics, or mathematics may be sufficient for entry-level roles, a master’s degree or PhD can significantly increase earning potential. Big data analysts with a master’s degree can expect to earn an average salary of $91,000 per year, while those with a PhD can expect to earn an average salary of $115,000 per year.

In addition to base salaries, many big data analytics roles also offer additional perks and benefits. These may include bonuses, stock options, and flexible work arrangements. Companies may also offer other perks such as health insurance, retirement plans, and paid time off.

Big data analytics is a promising career path in the United States with salaries that are expected to remain competitive in 2023. Salaries for big data analysts can vary depending on factors such as location, industry, experience level, and education. With the right combination of skills and experience, big data analysts can expect to earn a comfortable salary and enjoy a fulfilling career in a growing industry.

Recommended Analytics Training

TITLE: Business Analytics Nanodegree

OUR TAKE: This nanodegree provides foundational skills applicable to any industry, doesn’t require any prerequisites, and should take about 3 months to complete.

Description: In this program, you’ll learn foundational data skills that apply across functions and industries. You’ll learn to analyze data and build models with Excel, query databases using SQL, and create informative data visualizations with Tableau. This is an introductory program and has no prerequisites. In order to succeed, Udacity recommends having experience using a computer and being able to download and install applications.

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