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Average Data Analyst Salary:
How Much Can You Make?


Average salaries for jobs in data analytics

The Bureau of Labor Statistics (BLS) outlines a few job categories for analysts with varying emphases in business, technology and management; you can click through to learn more about the specifics of each job. For our purposes, here are the BLS’ annual and hourly wage estimates:

Estimated average salaries, May 2020*

Job / CareerPer yearPer hour
Operations Research Analyst$92,280$44.37
Market Research Analyst$73,970$35.56
Management Analyst$97,580$46.91
Computer Systems Analyst$99,020$47.61
All salary data courtesy of the Bureau of Labor Statistics.


  1. For all the jobs listed, the BLS notes a bachelor’s degree is typically the required education. However, please note the BLS does not provide estimates specific to entry-level positions for recent bachelor’s degree graduates, and there may be advanced job roles in data analysis requiring a master’s level education.
  2. Qualifying for roles as a “Computer Systems Analyst” typically requires a bachelor’s degree emphasizing in Information Technology (IT), while other more business-oriented roles may demand a stronger business education, such as an MBA degree in data analytics.

Job outlook

A few of the jobs cited above are expected to grow much faster than the average across all U.S. occupations from 2020-2030 (8%).

Estimated job outlook*

Job / Career% change, 2020-2030
Operations Research Analyst+25%
Market Research Analyst+22%
Management Analyst+14%
Computer Systems Analyst+7%
All salary data courtesy of the Bureau of Labor Statistics.

Businesses across the U.S. thirst for the focused, sharp analysis of big data to reveal actionable insights. The knowledge and skills in data analysis you can learn in a data analytics bachelor’s degree program can make you very attractive to employers across many different industries, including finance and insurance, enterprise management, government, and professional, scientific, and technical services.

Frequently Asked Questions

Data analysts are responsible for gathering data, organizing the data, and gleaning insights to help businesses and organizations solve problems. A successful data analyst is capable of collecting data, collaborating with different departments, finding patterns and generating reports to make sense of it all.

Data analytics is all about answering questions to inform decisions, using appropriate tools and foundational analytical concepts.

As a data analyst you are tasked with telling simple, digestible stories, transforming a sea of data into clear, actionable insights.

The less experience and education you’ve earned in the field, the harder it will be for you to earn an entry-level position that pays well.

While there’s always potential to climb the ladder internally with your current employer, your best bet to earn a good job in data analytics with no professional experience is to build your skills in a degree program—especially if you aren’t earning relevant experience in your current job.

Our online bachelor’s degree program can be completed at your pace and is very flexible to accommodate your full-time job. We work hard to ensure you can keep working, pursue your career path and not get too overwhelmed.

Requirements will vary by employer and job role, but you’ll typically need a bachelor’s degree if you’re looking to become a data analyst.

As you continue climbing the ladder, you may benefit from earning a master’s degree, such as a Master of Business Administration (MBA) in data analytics—or a graduate certificate in data analytics for current master’s degree holders in another field.

Yes, working from home is a possibility for jobs in data analysis. However, every company and job are different and may have unique requirements for entry-level roles.

Succeeding in a career in data analytics requires soft skills such as problem solving, critical thinking, mathematical and analytical thinking, attention to detail, creativity and ingenuity. A great data analyst has a knack for identifying the key takeaways from a dataset and understand how to communicate it to many different types of people, from fellow analysts to C-suite executives looking for actionable insights.

Every job will come with its own requirements for technical skills and programming languages, including SQL, Python, SAS, Git, Excel, R, or many more. Some jobs with a business emphasis may place a higher value on your ability to communicate the numbers rather than crunch them.

Data analysts can wear many hats. We offer educational programs in data analytics across the spectrum of business and technology to equip students with the tools necessary to thrive in a wide variety of potential career pathways.

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