Data Analyst Salary: What You Can Earn in 2026

According to the U.S. Bureau of Labor Statistics (BLS), data analysts, tracked under the operations research analyst category, earn a median annual salary of $88,940. Actual pay swings a lot from there depending on your experience, your industry and where you work. This guide breaks down what to expect at each stage.

The online Master of Science (M.S.) in Data Science and Artificial Intelligence program at Campbellsville University (CU) is designed to help graduates reach higher pay tiers faster. The program runs 100% online and can be completed in as few as 12 months. It’s built to move graduates toward roles such as data engineer and AI engineer, not just entry-level analyst work.

The BLS does not track “data analyst” as its own occupation. The closest government-tracked match is operations research analysts, a fast-growing field adding about 7,500 openings a year. The next section breaks down exactly how fast that growth is, and what it means for pay.

Every figure below is base salary unless noted otherwise. Total compensation often runs higher once you add bonuses and equity, especially at large tech employers. Keep that distinction in mind as you compare your own offer against these benchmarks.

Data Analyst Salary: What the National Median Looks Like in 2026

The $88,940 median above comes from May 2025 BLS wage data. That salary covers operations research analysts nationwide, a group that includes many people doing data analyst work.

Part of what makes “data analyst” pay hard to pin down is the title itself. The role spans everything from entry-level reporting to advanced statistical modeling. Employers use the title inconsistently across industries, so a wide title produces a wide range of pay.

Growth is the more interesting number behind that median. BLS projects a 12% increase in these roles between 2025 and 2035, well above the average across all occupations. The sections below show how pay varies across experience levels, industries and states.

Entry-level Data Analyst Salary: What to Expect When Starting Out

Most data analysts start well below that $88,940 median. PayScale‘s July 2026 data puts entry-level pay at $63,574 in total compensation. That figure covers analysts with less than one year of experience. Early-career professionals with one to four years average $69,828.

Entry-level data analyst salary climbs steadily but not dramatically from there. PayScale puts the overall average data analyst salary at $70,643. Professionals with five to nine years of experience average $79,013. Professionals with 20-plus years average $82,424.

Tenure alone does not buy you much once you clear the early-career stage. The bigger factor in a meaningfully higher salary is specialization, not time on the job. The senior salary section below covers that shift, and the pay it unlocks.

Total compensation softens this plateau somewhat. PayScale’s average figures already include bonuses and profit sharing. Bonuses run $1,000 to $10,000, and profit sharing adds up to $11,000 more. That extra rarely closes the gap toward the technology-sector tiers covered later in this guide.

Data Analyst Salary by State: The Highest-Paying Markets

Location affects pay almost as much as experience does. O*NET‘s state-by-state data for operations research analysts, the closest BLS-tracked proxy for data analyst work, shows just how wide the gap runs between top- and bottom-paying markets across the country. Click any state below for its exact figure.

The pattern behind these numbers is consistent. States with dense finance, technology or federal-contractor employment pay the most. That likely explains Virginia’s near-top finish, given its proximity to Washington, D.C.

None of this means a lower-ranked state is a bad place to work. Cost of living varies just as much as salary does. A $75,000 salary in a lower-cost market can stretch further than $102,100 in California or $108,610 in New York. Weigh the local cost of living before you compare offers across state lines.

Data Analyst Salary by Industry: Where the Pay Premiums Are

Industry affects pay just as much as geography. O*NET identifies finance and insurance as a top employer of operations research analysts, the closest occupation category to data analyst work. Professional, scientific and technical services rank as the other top employer.

Both industries pay a premium because the stakes are high. A flawed risk model at a bank, or a botched forecast at a consulting firm, can cost millions. Employers compete hard for analysts who get the numbers right. Technology companies compete just as aggressively for the same talent.

Retail, education and nonprofit employers typically pay less for similar work. That does not mean the work is less demanding but that the budget behind it is smaller. Moving into finance or tech raises pay fast, without changing your job title.

Healthcare sits in between the two groups. Health systems and insurers also rely on data analysts to manage costs and meet reporting rules. That reliance is reflected in the pay. Healthcare analyst salaries sit closer to finance and tech pay than the industry’s reputation might suggest.

Senior Data Analyst Salary: What Career Progression Looks Like

Real career progression shows up once you move into a specialized, technology-focused analyst track. Robert Half‘s 2026 Salary Guide puts senior data analyst salary at $138,500 for roles like these. That figure applies to professionals with extensive experience and advanced technical skills. It sits nearly $56,000 above the broad-market plateau described earlier.

Robert Half’s data shows the climb happening in clear steps. Analysts new to a technology-focused role start around $96,250. Those with moderate experience, who meet most job requirements, average $117,250. Only analysts with deep, advanced skills reach that $138,500 ceiling.

Reaching that tier depends less on years of experience and more on what you can point to. Employers want a track record of analysis that changed a real decision, not just routine reports. Fluency with SQL, Python and a modern BI platform is close to a prerequisite for reaching this tier. CU’s online M.S. in Data Science and AI program is designed around exactly this kind of applied work.

These figures are base pay only. Total compensation at large tech employers often runs well above them once bonuses and equity are added in. That distinction is worth asking about directly when you compare two offers with similar base pay.

Which Skills Increase Your Data Analyst Salary in 2026?

SQL, Tableau and Power BI are the most in-demand data analyst skills in 2026, according to O*NET’s occupational skills data. All three appear on the list of in-demand “hot technology” skills for this role. Employers are actively hiring for them right now.

Python and R follow close behind. Both are tagged as “hot technology” for this role. Both matter more once you move from basic reporting into predictive or statistical work.

Cloud platforms round out the list. Tools such as Amazon Redshift and Apache Hadoop matter too. They separate candidates who can only analyze data from those who can also manage it at scale.

CompTIA‘s 2026 workforce research projects data analyst and data scientist roles to grow 420% faster than the national average over the next decade. That level of projected growth points to sustained demand for analysts who keep their tooling current, from cloud platforms to BI software.

How CU’s Online M.S. in Data Science and AI Prepares You for These Roles

National Center for Education Statistics (NCES) data shows master’s degrees in computer and information sciences jumped 145% between 2011-12 and 2021-22. That growth outpaced most other graduate fields, a sign of rising demand for these skills. That surge reflects how many professionals are choosing to pursue an advanced credential in this field.

CU’s online M.S. in Data Science and AI program is built around this guide’s biggest salary levers. That means applied machine learning, big data analytics and hands-on modeling, not just introductory statistics. Graduates leave equipped to move out of broad-market analyst roles. They’re positioned for the technology-focused tier profiled earlier in this guide.

CU also offers a separate online M.S. in Computer Science program. It suits students who want a broader software and systems foundation alongside their data skills. If you’re weighing that path against something more field-specific, CU’s guide to computer science careers lays out where each option can lead, and its MBA versus M.S. in IT comparison covers a similar decision for a different pair of tech degrees. You can compare both data-focused programs and the university’s other technology degrees on CU’s computer science programs hub.

Whichever path you choose, the underlying math from this guide holds. The analysts earning closer to $138,500 than $82,424 almost always added a specialized, technical credential to their experience. They did not just wait out the clock. Starting that credential now puts you in position for the next round of hiring, not the one after.

Earn your M.S. in Data Science and Artificial Intelligence online at CU and prepare for senior-level pay.

Frequently Asked Questions

What is the average data analyst salary in 2026?

The median is $88,940 a year, based on BLS wage data for the closest tracked occupation, operations research analysts.

How much do entry-level data analysts make?

PayScale puts entry-level pay, for those with less than one year of experience, at $63,574 in total compensation.

What is the highest-paying state for data analysts?

Colorado, where BLS wage data puts the median data analyst salary at $129,880 a year.

How much do senior data analysts make?

Robert Half’s 2026 data puts the ceiling for senior, technology-focused analyst roles at $138,500 a year.

About Campbellsville University’s Online M.S. in Data Science and Artificial Intelligence

Campbellsville University’s online M.S. in Data Science and Artificial Intelligence program delivers a 36-credit curriculum with one-on-one access to expert faculty and a personal academic advisor throughout the program. The program covers big data analytics, data mining, AI ethics and blockchain technology, among other topics. It culminates in a capstone project in big data and artificial intelligence. The program is accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC) and qualifies as a STEM-designated degree.

Graduates get career-services support from day one through graduation, alongside the applied training this guide covers. The program accepts up to 12 transfer credits and requires a minimum 2.5 undergraduate GPA, with no standardized test scores required. Working professionals can complete it without pausing their careers. CU is also ranked among the top 50 most affordable Christian colleges in the U.S., pairing that affordability with a STEM-designated curriculum built for working adults.