TL;DR
You just got an offer, or you’re about to negotiate one, and you have no idea if the number is fair. That’s the exact problem this guide solves. If you searched for the Entry-Level Data Analyst Salary in the US, you already know the range online swings by tens of thousands of dollars depending on which site you check.
Here’s why that gap exists, and why it’s quietly costing candidates real money. Most guides quote one national average and stop there, ignoring experience, city, and industry entirely. That leaves you guessing, and guessing almost always means leaving money on the table.
This guide fixes that. Below is verified 2026 salary data broken down by level, city, and employer, pulled straight from Glassdoor, ZipRecruiter, and PayScale. For a full library of verified tech and career salary breakdowns, browse our complete salary guide hub.
What Is the Entry-Level Data Analyst Salary in the US in 2026?
The short answer is that it depends heavily on which platform you check, but the numbers cluster in a fairly predictable band. Glassdoor reports an average of $63,153 a year for entry-level data analysts, with a typical range of $50,063 to $80,203.
ZipRecruiter’s figure runs a bit higher at $68,487, with the middle 50% of postings landing between $44,000 and $76,500.
PayScale, which tracks total compensation rather than base pay alone, puts analysts with under one year of experience at $63,574, based on nearly 1,500 reported salaries.
A composite from TripleTen lands the realistic nationwide range at $65,000 to $85,000, and Robert Half’s 2026 report shows finance-sector entry roles starting closer to $53,500 before climbing toward $63,000 with a relevant certification.
| Source | Entry-Level Average (2026) | Typical Range |
| Glassdoor | $63,153 / year | $50,063 to $80,203 |
| ZipRecruiter | $68,487 / year | $44,000 to $76,500 (25th to 75th pctl) |
| PayScale (under 1 year) | $63,574 total comp | Based on 1,477 salaries |
| TripleTen composite | $65,000 to $85,000 / year | Higher in San Francisco and New York |
| Robert Half (finance sector) | $53,500 starting | Rises to ~$63,000 with certification |
The pattern across every source is the same. Expect a realistic starting offer somewhere between $55,000 and $75,000 in most of the country, with tech-heavy metros and specialized industries pushing well above that.
Entry-Level Salary by City
Location shifts a first-year offer more than almost any other single factor. San Francisco and New York sit well above the national picture, with entry-level analysts in those metros starting between $102,000 and $118,000 in some tech roles, according to TripleTen’s 2026 data.
New York City specifically reports an entry-level average of $71,711, about 14% above the national figure, per Glassdoor’s local data.
Mid-size metros like Austin, Denver, and Raleigh trail the coastal hubs in raw dollar terms but often deliver a better outcome after rent and state taxes. A $60,000 offer in a lower-cost city can leave more disposable income than a $75,000 offer in a metro where a one-bedroom apartment eats half your paycheck.
Once you move past your first role and start comparing cities at the mid and senior level, our data scientist salary by city guide is a useful companion, since it maps almost the same metro tiers for the adjacent data science track.
Entry-Level Salary by Employer Type
Company type changes the offer as much as location does. At large, traditional employers in banking, retail, or healthcare systems, entry-level analyst roles typically start between $52,000 and $65,000. At tech companies, the same title, sometimes labeled business analyst or operations analyst, often starts between $70,000 and $90,000.
That gap is not about candidate quality. It reflects how each industry values the role. A tech company treats an entry-level analyst as a builder who will eventually own dashboards and pipelines independently, while a large enterprise often treats the role as more standardized and slower to promote out of.

What Actually Increases Your Starting Offer
A handful of concrete moves can push a first offer well above the national average. SQL fluency alone is worth roughly 15% to 20% more, adding $9,000 to $12,000 to a typical offer. Python or R adds another 15% to 25%, and comfort with a cloud platform like AWS or Azure adds 12% to 18% on top of that.
Certifications matter more at this stage than almost any other point in a data career. The Google Data Analytics Certificate, which costs under $300, is linked to $7,000 to $12,000 in added starting pay. An AWS Certified Data Analytics credential adds $12,000 to $20,000, and a Microsoft Power BI certification adds $8,000 to $15,000.
Stacking two or three of these can realistically push a starting offer up 20% to 30%, which is a strong return for a candidate with no full-time experience yet.
Entry-Level vs. Mid-Level vs. Senior Pay
It helps to see where entry-level sits inside the bigger picture. The jump from a first job to a mid-level role, usually around year three to four, is the steepest percentage increase most analysts will see in their entire career, often moving from the high $60,000s into the $85,000 to $110,000 range.
For the full year-by-year progression, including how bonuses and specialization change the math at each stage, our data analyst salary by experience level guide breaks down exactly what happens after your first one to two years on the job.
Entry-Level Data Analyst vs. Entry-Level Data Scientist
A common question at this stage is whether to aim for data science instead. The honest answer is that data science usually requires more advanced math and machine learning skills before you can land an entry role, and the entry bar is more competitive.
But the long-term pay ceiling is higher, often by $25,000 to $40,000 at equivalent experience levels once you are a few years in.
If you are weighing the two paths early, our data analyst vs data scientist salary comparison lays out the gap stage by stage, and our data scientist salary in the US guide and data scientist salary by experience breakdown show what that track looks like once you are past the entry level.
Breaking In Without a Traditional Degree
A four-year degree is no longer the strict requirement it used to be for this role. What actually gets candidates hired is a portfolio of real SQL and Python projects, at least one internship or hands-on apprenticeship, and a reference who can vouch for the work. This mirrors what is happening in other data-adjacent fields.
For a close parallel, see how career changers break into security roles without a degree in our cybersecurity analyst without a degree guide, and how that specialty maps into a longer cybersecurity career path if you want to compare the two entry routes side by side.
Common Mistakes First-Time Analysts Make With Their Offer
The most frequent mistake is accepting the first number without checking it against city and company type. A $58,000 offer at a tech company in a mid-size city might actually be below market, while the same number at a nonprofit in a small town could be strong.
The second mistake is ignoring certifications before negotiating. Walking into a salary conversation with a completed Google Data Analytics Certificate or a demonstrated SQL project gives you leverage that a bare resume does not.
The third mistake is treating the first job as permanent. The biggest jumps in this career come from switching employers after building real experience, not from waiting quietly for an internal raise.
How Far This Career Can Go
An entry-level data analyst role is a starting point, not a ceiling. Analysts who specialize, move into analytics engineering, or pivot toward data science can see their pay roughly double within five years. Those who move toward leadership or security-adjacent data roles can go even further.
For a look at what compensation looks like at the very top of a data and security career, our CISO salary guide shows the executive-tier numbers a data-heavy career path can eventually reach.

Frequently Asked Questions
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What is the average entry-level data analyst salary in the US?
It ranges from about $63,000 to $68,000 a year on average, with Glassdoor at $63,153 and ZipRecruiter at $68,487 as of 2026.
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Can you get an entry-level data analyst job without a degree?
Yes. A strong SQL and Python portfolio, at least one internship or hands-on project, and a real reference now matter more to most hiring managers than a formal degree.
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Which certifications increase entry-level data analyst pay the most?
The AWS Certified Data Analytics credential adds the most, roughly $12,000 to $20,000, followed by Power BI certification at $8,000 to $15,000 and the Google Data Analytics Certificate at $7,000 to $12,000.
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Which cities pay entry-level data analysts the most?
San Francisco and New York lead, with some tech-sector entry roles starting between $102,000 and $118,000, well above the national average.
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How long until an entry-level data analyst reaches mid-level pay?
Most analysts reach mid-level pay, typically $85,000 to $110,000, within three to four years, especially if they add Python, cloud, or specialization skills along the way.
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Is data science more lucrative than data analytics at the entry level?
The entry bar is more competitive for data science, but the long-term pay ceiling runs $25,000 to $40,000 higher than data analytics at equivalent experience levels.
How This Article Was Created
The figures in this guide come from Glassdoor, ZipRecruiter, PayScale, Indeed, TripleTen’s compensation data, and Robert Half’s 2026 salary trends report. No numbers were invented or estimated without a source behind them. Data reflects publicly reported figures current as of 2026. This article was written to help first-time job seekers understand where their offer stands, not to promote any single 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.
