TL;DR
You searched Data Analyst vs Data Scientist Salary because one site says $70K, another says $150K, and neither number matches the offer sitting in your inbox right now. That gap is not a typo. It is the difference between two careers that sound similar but pay very differently.
Pick the wrong lane without checking the real numbers, and you could spend years underpaid for the exact same skill set someone else is charging double for. Most articles either inflate the numbers to sound exciting or bury them under vague ranges that do not help you decide anything.
I pulled the actual 2026 data from BLS, Glassdoor, and PayScale so you get real figures, not guesses. And if you want to compare pay across other tech and cybersecurity roles too, my complete salary guides cover those breakdowns as well. For a full breakdown of analyst pay across every experience bracket, my Data Analyst Salary in the US 2026 guide covers the numbers in more depth than I can fit here.
Average Salary Overview: The 2026 Numbers
Let me put the headline numbers in front of you first, then explain why they differ across sources.
According to Glassdoor’s 2026 data, the average total pay for a data analyst in the United States is $93,060 a year. Data scientists average $208,074 a year on the same platform. That is a gap of well over $100,000.
The Bureau of Labor Statistics tells a similar story, though the numbers land lower because BLS reports median base wages, not total compensation, and it does not have a dedicated occupation code for data analyst. The closest matches are operations research analyst and market research analyst.
| Metric | Data Analyst | Data Scientist | Gap |
| Glassdoor average total pay (2026) | $93,060/yr | $208,074/yr | +123% |
| Entry level range (Glassdoor) | $66,558 – $112,541 | $84,408 – $178,588 | ~$25K higher floor |
| Senior level (8+ years) | $82,339 – $166,855 | Avg $234,409 | +40% to +70% |
| BLS median wage (May 2025) | $88,940* | $120,230 | +35% |
| BLS projected job growth (2025-2035) | 12% | 35% | Nearly 3x faster |
*BLS does not track a standalone data analyst occupation. This figure uses the operations research analyst median as the closest proxy. Market research analysts, another common proxy, sit lower at $78,760.
Why do the numbers not match across sources? Glassdoor and PayScale pull from self reported user submissions, so they lean toward total compensation and skew slightly toward tech hubs where more people report salaries online. BLS surveys employers directly, which gives you a more conservative, base salary only figure. Neither one is wrong. They are measuring different things.
Salary by Experience Level
Experience changes this comparison more than almost anything else. Here is how both roles progress, and if you want the full year by year breakdown, I have separate guides for data analyst salary by experience level and data scientist salary by experience that go deeper than this overview.
Entry Level (0 to 2 years)
Entry level data analysts average $86,093 a year on Glassdoor, with a typical range of $66,558 to $112,541. Entry level data scientists start noticeably higher, averaging $112,401, with the range running from $84,764 to $150,698. Even fresh out of school, the scientist track pays more, mostly because it usually requires a heavier math and coding background before you even get the interview.
Mid Level (3 to 6 years)
This is where the paths start to separate more visibly. Mid level analysts typically land between $85,000 and $120,000 depending on industry, according to multiple 2026 market comparisons. Mid level data scientists sit in the $130,000 to $175,000 band, a jump driven by machine learning project ownership and the ability to work independently on modeling work rather than just cleaning and reporting data.
Senior and Lead Level (7+ years)
Senior data analysts average $132,074 on Glassdoor, with the top range reaching $166,855 for those with eight or more years of experience. Senior data scientists average $234,409, and lead or principal level scientists at large tech and pharmaceutical companies push well past $300,000 in total compensation once bonuses and equity are included.
Why Data Scientists Out Earn Data Analysts
The pay gap is not random and it is not a popularity contest between job titles. It comes down to four things employers consistently pay more for.
Total Compensation, Not Just Base Salary
If you are comparing offers, base salary is only part of the picture. Bonuses, stock or RSU grants, and signing bonuses can add tens of thousands of dollars, especially at larger tech companies.
A data scientist offer of $140,000 base with a $15,000 annual bonus and $40,000 in vested stock over four years is worth meaningfully more than it looks at first glance. Data analyst offers at large companies increasingly include the same structure, just at a lower dollar amount.
Always ask for the full breakdown before comparing two offers side by side, and never compare a base only number against a total comp number. That is how people talk themselves into a worse deal.
Other High Paying Data and Tech Career Paths Worth Comparing
Data is not the only field where the title you choose changes your ceiling. If you are early in your career and weighing options outside of pure analytics, cybersecurity follows a similar pattern. A cybersecurity career path can start without a computer science degree, and I have covered how to break in as a cybersecurity analyst without a degree in detail.
At the senior end of that field, pay compresses toward leadership, and my CISO salary guide shows what that ceiling looks like once you reach the executive level.
The pattern repeats across tech. Entry points are relatively open, mid career pay depends on specialization, and the biggest jumps happen when you move from doing the work to owning strategy and outcomes.
Which Role Should You Actually Choose
Pick data analyst if you want a faster way into the field, enjoy working directly with business stakeholders, and are comfortable trading some salary ceiling for a role that is easier to break into and easier to explain in a job interview. The path from analyst to senior analyst, analytics engineer, or BI lead is well established and does not require a graduate degree.
Pick data scientist if you are willing to invest in statistics, machine learning, and programming before you land your first role, and if you want a higher salary ceiling in exchange for a steeper learning curve. Many professionals do both, starting as an analyst, building technical skills on the job, and moving into a data scientist title within two to four years.
Common Misconceptions
Frequently Asked Questions
Is data scientist a harder job than data analyst?
It generally requires a deeper technical background in statistics, programming, and machine learning. Difficulty depends on the person, but the skill requirement to enter the role is steeper.
Can a data analyst become a data scientist?
Yes, and it is one of the most common transitions in the field. Analysts who build Python, statistics, and machine learning skills on top of their SQL and reporting background typically make the jump within two to four years.
Which pays more, data analyst or data scientist?
Data scientist pays more on average at every experience level, based on both BLS and Glassdoor 2026 data. The gap ranges from about 30 percent at entry level to well over 100 percent at senior level when total compensation is included.
Do data analysts need a college degree?
Most employers prefer a bachelor’s degree, but it does not have to be in a technical field. Strong SQL, Excel, and a portfolio of real projects can outweigh the specific degree on your resume for entry level roles.
Is data science a good career in 2026?
Yes. The Bureau of Labor Statistics projects 35 percent employment growth for data scientists between 2025 and 2035, among the fastest growing occupations in the country, with about 24,800 openings projected each year.
Where This Data Comes From
Every figure in this article comes from published 2026 data on Glassdoor, along with May 2025 wage data from the Bureau of Labor Statistics Occupational Outlook Handbook and a May 2026 job posting analysis. No numbers were estimated or invented. Where sources disagreed, I noted the range instead of picking the number that looked best.
If you want the deeper, experience level breakdown behind these numbers, my full Data Analyst Salary in the US 2026 guide is the best place to start.
Have you negotiated an offer using numbers like these, or been surprised by what a company actually paid compared to what you expected? I would genuinely like to hear how it played out for you.
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.
