TLDR
You are about to accept a data analyst offer, and you have no idea if the number is fair for your state. That uncertainty costs more money than most people realize. This Data Analyst Salary by State (US Breakdown 2026) guide exists because I got tired of vague ranges that never matched what companies actually pay.
Here is the uncomfortable truth. The same job title can pay $47,000 in North Dakota and $108,000 in Washington DC, and nobody warns you before you sign. Guessing your worth from one generic salary site is how analysts quietly leave five figures on the table every year.
I pulled real 2026 numbers from six trusted sources and broke them down by state, experience, and industry so you never have to guess again. For more career and pay breakdowns like this one, visit the full WhatIsTheSalary homepage.
Why Every Salary Site Shows You a Different Number
Before we get into the state numbers, you need to know why Glassdoor says $93,557, ZipRecruiter says $82,640, and Payscale says $70,643 for the exact same job title.
Each platform pulls from a different pool of self reported data. Glassdoor leans on larger companies where employees log in and share offers. ZipRecruiter scrapes live job postings, which tend to skew toward what employers are willing to advertise rather than what they actually pay after negotiation. Payscale surveys people directly, and its sample includes more small businesses and non tech industries, which pulls the median down.
None of these sources are wrong. They are measuring slightly different slices of the same market. When you are trying to figure out your own worth, use the range across all of them rather than trusting a single number.

Data Analyst Salary by State: The Full Table
Location is still one of the biggest swing factors in this job. A data analyst in San Francisco and a data analyst in rural Ohio are doing similar work with a very different paycheck attached. Here is where the states stack up, based on Salary.com’s 2026 state level data and cross checked against BLS Operations Research Analyst wages.
| State | Average Annual Salary (2026) | Compared to National Average |
| District of Columbia | $108,192 | Highest in the US |
| California | $107,782 | +10.4% |
| Massachusetts | $106,345 | +8.8% |
| Washington | $105,954 | +8.4% |
| New Jersey | $105,915 | +8.3% |
| Connecticut | $104,430 | +6.9% |
| New York | $103,883 | +6.3% |
| Colorado | $99,700 | +2.0% |
| Illinois | $99,603 | +1.9% |
| Texas | $95,313 | -2.5% |
| Ohio | $95,147 | -2.7% |
| Georgia | $94,248 | -3.7% |
| North Dakota | $47,031 | Lowest in the US (Zippia) |
A few things stand out here. Texas holds up surprisingly well for a state with no income tax, which is part of why Austin and Dallas keep pulling analysts away from higher tax states. Meanwhile North Dakota, which Zippia flags as the lowest paying state for this role, has a much smaller tech and finance sector to compete for talent.
If you want the full national picture with every experience tier mapped out, our Data Analyst Salary in the US 2026: Complete Guide breaks down the numbers beyond just geography.
Salary by Experience Level
State matters, but where you sit on the experience ladder matters more. Here is how the numbers move as you build tenure.
Entry level (0 to 2 years): Expect somewhere between $58,000 and $75,000. Payscale puts less than one year of experience at $63,574 on average, and that number climbs fast once you clear your first performance review.
Mid level (3 to 6 years): This is where the SQL, Python, and BI tool combination starts paying off. Mid career analysts average closer to $85,000 to $100,000, with strong performers in tech and finance pushing past that.
Senior and lead (7+ years): Senior analysts in major metros are clearing $130,000 in base pay according to multiple 2026 sources, and that number does not include bonuses or profit sharing.
For a deeper breakdown by exact year of experience rather than broad tiers, check our data analyst salary by experience level guide.
Data Analyst vs Data Scientist: Which Path Pays More
A lot of people researching this question are actually deciding between two career tracks, not just one job title. Data scientists generally out earn data analysts, sometimes by $20,000 to $40,000 at the same experience level, because the role usually demands stronger statistics, machine learning, and coding skills.
If you are weighing the two paths, our data analyst vs data scientist salary comparison lays out the exact gap by level. And if data science is the direction you are leaning toward, the data scientist salary in the US guide and our data scientist salary by experience breakdown will show you exactly what that jump is worth over time.
Cost of Living Changes the Real Story
A $107,000 salary in California does not stretch the way a $95,000 salary does in Texas. High cost states like California and New York often eat 40 to 50 percent of income in rent and utilities alone. Moderate cost states like Texas and Washington let you keep more of what you earn, and low cost states like Ohio and Georgia offer steady pay with meaningfully lower expenses.
Before you chase the highest number on a map, run it through a cost of living calculator for the specific city, not just the state. A senior analyst in Raleigh often takes home more after rent than a senior analyst in San Francisco earning a larger base salary.

What Actually Moves Your Number
Four things move your salary more than anything else on this list.
Industry. Personal consumer services, financial services, and aerospace and defense pay the most according to Glassdoor’s industry breakdown, while retail, government, and nonprofit roles tend to pay the least.
Tool stack. Analysts who own SQL, a BI platform like Tableau or Power BI, and Python earn more than analysts who stop at Excel and SQL.
Certifications. Credentials like the Certified Analytics Professional designation help, but employers weigh real project experience more heavily than a stack of certificates.
Negotiation. Most people accept the first number they are offered. Even a short, respectful counter can move an offer by five to ten percent, and companies rarely pull an offer over a reasonable ask.
If you are early in your career and considering a pivot, it is worth knowing that data skills also open doors into adjacent, well paying fields. Some analysts move into cybersecurity analyst roles without a traditional degree, since the pattern recognition and reporting skills overlap more than people expect.
If security work interests you long term, our cybersecurity career path guide and the CISO salary guide show what that ladder looks like all the way to the top.
Salary Growth Timeline: What to Expect Year Over Year
Most people ask about salary by state, but the bigger question is usually how fast pay grows once you are in the role. Here is a realistic picture.
In your first two years, growth is slow. You are proving out your SQL and reporting skills, and most raises land in the 3 to 5 percent range unless you change jobs.
Years three through six tend to be where the real jump happens. This is when analysts who specialize, whether in marketing analytics, financial modeling, or product data, start separating from generalists. A strategic job change during this window is usually what pushes pay from the $70,000s into the $90,000s or higher.
By year seven and beyond, the ceiling depends heavily on direction. Analysts who move into analytics management or a data science track see the steepest continued growth. Those who stay in the same individual contributor seat for a decade tend to plateau instead.
The two biggest accelerants are changing companies early on and picking up a specialization that is hard to hire for. The two biggest anchors are staying too long without a title change and accepting a low starting offer without negotiating.
When to Stop Researching and Start Negotiating
At some point, more research just becomes procrastination. If you already have an offer in hand or a review coming up, here is what actually moves the number.
Get a competing offer if you can. Nothing moves a number faster than a second offer letter. Even an informal one from a recruiter can be leverage.
Ask about the full package, not just base. Bonus structure, profit sharing, and remote flexibility all have real dollar value even when they are not labeled as salary.
Counter with a number, not a feeling. Saying “I was hoping for something closer to X based on my research” works better than saying you feel underpaid.
Time it around review cycles. Companies have more flexibility during annual budget planning than they do mid quarter, so timing your ask can matter as much as the ask itself.

Common Myths About Data Analyst Pay
Myth 1: A degree in data science is required to earn well. Most job postings ask for a bachelor’s degree in any quantitative field, and plenty of analysts come from economics, business, or statistics backgrounds.
Myth 2: Remote roles pay less. Some companies do adjust for location, but many national employers now pay a flat national band regardless of where you sit, especially for mid and senior roles.
Myth 3: The highest paying state is always the best choice. As covered above, a lower headline number in a lower cost state can leave you with more disposable income than a higher number in an expensive metro.
Myth 4: Certifications guarantee a raise. They help you get interviews. They rarely move your offer on their own without project experience to back them up.
Frequently Asked Questions
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What state pays data analysts the most?
District of Columbia and California currently lead, both averaging over $107,000 per year according to Salary.com’s 2026 data.
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What is the average data analyst salary in the US in 2026?
It depends on the source. ZipRecruiter reports $82,640, Glassdoor reports $93,557, and Salary.com reports $97,717. A reasonable working average across sources sits in the high $80,000s to low $90,000s.
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Do data analysts need a degree?
Most employers prefer a bachelor’s degree in a quantitative field, but it does not have to be a data science or computer science degree specifically.
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Is data analytics a good career in 2026?
Yes. The BLS projects strong growth for the closest related occupation, Operations Research Analysts, at 21 percent through 2034, which is much faster than average.
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How much do entry level data analysts make?
Entry level pay typically falls between $58,000 and $75,000, with the exact number depending heavily on industry and location.
Share Your Story
If you have negotiated an offer recently or noticed your pay shift after a move to a new state, I would genuinely like to hear about it in the comments. Real numbers from real offers are what make guides like this one accurate, and yours could help the next person reading this.
How This Article Was Created
Every figure in this guide came from publicly available 2026 salary data published by ZipRecruiter, Glassdoor, Payscale, Salary.com, Zippia, and the US Bureau of Labor Statistics. No numbers were estimated or invented. This article was written to help job seekers understand their market value, not to promote any employer, platform, or recruiting service.

Shahzada Muhammad Ali Qureshi (Leeo)
I’m Shahzada — a software engineer by education and an SEO professional by trade. I built WhatIsTheSalary.com to go beyond just showing salary numbers — every page is manually researched across sources like BLS, Glassdoor, LinkedIn Salary, and PayScale to give you the full picture in one place. If you found what you were looking for here, that’s exactly the point.
