Part of our complete Data Analyst Career Guide.
As of 2026, entry-level data analysts in the US earn roughly $60,000 to $73,000 per year (about $30 to $35 an hour), with most salary sources putting the national average between $63,000 and $68,000. With no prior experience, expect the lower end — around $50,000 to $60,000. In high-cost tech hubs like San Francisco, New York, and Seattle, entry pay runs 20–35% higher, while top earners (90th percentile) clear $100,000+. The single biggest lever on your starting offer isn’t your degree — it’s your SQL and Python skills.
Last updated: June 2026. Figures aggregated from ZipRecruiter, Glassdoor, PayScale, Salary.com, and the U.S. Bureau of Labor Statistics (see methodology below).
Table of Contents
How much does an entry-level data analyst make in 2026?
The honest answer is a range, because the major salary trackers measure slightly different populations. Here’s where they land for 2026:
| Source | Avg. entry-level salary | Hourly |
|---|---|---|
| ZipRecruiter | $68,487 | ~$33 |
| Glassdoor | $63,138 | ~$30 |
| PayScale (<1 yr) | $63,574 | ~$31 |
| Salary.com | $73,501 | ~$35 |
Blend them and a realistic 2026 national average is $63,000–$68,000. The spread depends on your skills, city, industry, and whether you’re a true beginner or already have an internship or portfolio.
Entry-level salary percentiles
Averages hide the range. Here’s the fuller picture (blended from ZipRecruiter and Glassdoor):
| Percentile | Annual salary | What it means |
|---|---|---|
| 25th | $44,000–$50,000 | True no-experience / low-cost areas |
| 50th (median) | $63,000–$68,000 | Typical first analyst job |
| 75th | $76,000–$80,000 | Strong skills or high-cost metro |
| 90th | $100,000–$108,000 | Tech hub + in-demand stack |
Entry-level data analyst salary with no experience or no degree
This is the question most salary guides skip — so here’s the direct answer.
What “no experience” actually pays
A genuine career-changer with no prior analyst role typically starts at $50,000–$60,000 — the 25th-percentile band. That climbs quickly: most analysts cross the $65,000 mark within 18–24 months once they have one real job and a portfolio.
Can you get hired without a degree?
Yes — and it’s increasingly common. A large share of entry-level data analyst postings now screen for skills (SQL, spreadsheets, a BI tool, a portfolio) rather than a specific degree. What replaces the degree:
- A portfolio of 3–5 real projects (cleaned datasets, dashboards, a written analysis).
- Demonstrable SQL — the one non-negotiable skill.
- A recognized certificate (e.g., the Google Data Analytics Certificate) to signal commitment.
Degree-holders still tend to get a small pay premium and clear more resume filters, but self-taught and bootcamp-trained analysts land jobs in the same salary band every day.
Data analyst salary by experience level
Data analytics rewards experience steeply in the first five years. Approximate US figures:
| Experience | Typical salary |
|---|---|
| 0–2 years (entry) | $60,000–$70,000 |
| 2–4 years | $72,000–$85,000 |
| 5–9 years (senior) | $90,000–$105,000 |
| 10+ years / lead | $105,000–$130,000+ |
Entry-level data analyst salary by city
Location is one of the biggest variables. High-cost tech metros pay well above the national average (though cost of living offsets some of it):
| Metro | Entry pay vs national |
|---|---|
| San Francisco Bay Area | +30–40% |
| New York City | +25–35% |
| Seattle | +20–30% |
| Austin / Denver | +10–20% |
| Midwest / Southeast metros | At or slightly below national |
Note: high-cost-of-living adjustments mean a $90,000 San Francisco offer and a $68,000 Midwest offer can deliver similar real spending power.
Salary by industry
Who you work for matters as much as where:
| Industry | Entry-level pay |
|---|---|
| Tech / software | Highest ($70,000–$90,000+) |
| Finance / banking | High ($68,000–$85,000) |
| Consulting | High, fast progression |
| Healthcare / insurance | Mid ($60,000–$72,000) |
| Retail / non-profit / government | Lower ($52,000–$65,000) |
Which skills raise your salary the most?
This is where a beginner gains the most leverage. Approximate pay premiums over an Excel-only baseline:
| Skill added | Approx. pay premium |
|---|---|
| SQL (the essential) | +15–20% |
| Python or R | +15–25% |
| Cloud (AWS / BigQuery / Snowflake) | +12–18% |
| Tableau / Power BI | +10–15% |
The practical takeaway: an analyst who can write SQL and Python and build a Power BI dashboard often earns $10,000–$20,000 more than one who only knows spreadsheets — for the same job title.
Remote entry-level data analyst salary
Remote roles are common in analytics, but a myth needs busting: remote does not automatically mean higher pay for beginners. Remote entry-level roles tend to cluster around $58,000–$65,000, because employers often benchmark to a national (not Bay Area) rate. Remote pay climbs sharply with experience — experienced remote analysts hit $85,000–$95,000 — but as a first job, remote pay is roughly in line with the national average, not above it.
What $65,000 actually looks like after tax
A headline salary isn’t take-home. On a $65,000 gross salary, after federal income tax, Social Security, and Medicare — plus an average state tax — you’d keep roughly $50,000–$53,000 a year, or about $4,200–$4,400 a month. States with no income tax (Texas, Florida, Washington) push that higher. This is illustrative and varies by state, filing status, and deductions.
Is data analyst a good entry-level career in 2026?
Demand remains strong. The U.S. Bureau of Labor Statistics doesn’t track a “data analyst” code directly, but its closest proxies are telling: operations research analysts earn a median of about $91,290 and are projected to grow ~21% from 2024 to 2034 — far faster than average. Combined with a clear skills-based entry path and strong progression, data analytics remains one of the most accessible high-growth careers for 2026.
How to increase your entry-level salary
- Lead with skills, not just the title. Put SQL, Python, and a BI tool at the top of your resume — they move you up the pay bands fastest.
- Build a public portfolio. A GitHub or Tableau Public profile with real projects is worth more than another certificate.
- Target tech and finance employers if pay is your priority.
- Negotiate. Research the band for your city, anchor to your strongest skill, and counter the first offer — most entry offers have 5–10% of room.
Frequently asked questions
How much does an entry-level data analyst make per hour in 2026?
About $30 to $35 per hour in the US, based on a national average salary of roughly $63,000 to $68,000 per year. True beginners or roles in lower-cost areas may start closer to $24 to $29 per hour.
Can I become a data analyst with no experience?
Yes. Many entry-level roles screen for skills rather than experience. A portfolio of real projects, solid SQL, and a recognized certificate can get you hired in the $50,000 to $60,000 starting range, even as a career-changer.
Do you need a degree to be a data analyst?
Not necessarily. A growing share of postings accept skills and a portfolio in place of a specific degree. Degree-holders may clear more resume filters and earn a small premium, but self-taught and bootcamp analysts land jobs in the same salary band.
Is $65,000 a good entry-level data analyst salary?
Yes — $65,000 sits right around the national median for entry-level data analysts in 2026. It’s strong for a lower-cost metro and fair for a mid-cost city; in San Francisco or New York you could push toward $80,000–$90,000.
How long does it take a data analyst to reach $100,000?
Typically 4 to 7 years, faster in tech or finance and in high-cost metros. Adding Python, cloud skills, and moving into senior or specialized roles is the quickest path past six figures.
Which entry-level data analyst skills pay the most?
SQL is essential and adds 15–20% over a spreadsheet-only baseline. Python or R (+15–25%) and cloud tools like BigQuery or Snowflake (+12–18%) deliver the biggest premiums for beginners.
Is it hard to get an entry-level data analyst job in 2026?
The market is competitive but accessible. The biggest differentiator is a real portfolio plus demonstrable SQL — candidates who show finished projects consistently beat those with only coursework or certificates.
Entry-level data analyst vs data scientist — who earns more?
Data scientists earn more, typically starting $85,000 to $110,000 versus $60,000 to $73,000 for analysts, because the role usually requires stronger programming and statistics. Many analysts transition into data science after a few years to make the jump.
Methodology
Salary figures in this guide were aggregated in June 2026 from ZipRecruiter, Glassdoor, PayScale, and Salary.com, cross-referenced with U.S. Bureau of Labor Statistics occupational data (operations research and market research analysts as the closest official proxies). Averages drift month to month; treat these as current ranges rather than fixed numbers, and check the linked sources for live figures before relying on a specific value.
