Data Analytics Salary
$51K - $64K
10% of jobs
$64K - $77K
6% of jobs
$77K - $90K
7% of jobs
$91.2K is the 25th percentile. Wages below this are outliers.
$90K - $103K
13% of jobs
The median wage is $110.1K / yr.
$103K - $116K
23% of jobs
$125.9K is the 75th percentile. Wages above this are outliers.
$116K - $129K
19% of jobs
$129K - $142K
10% of jobs
$142K - $155K
4% of jobs
$155K - $168K
3% of jobs
$168K - $181K
3% of jobs
$181K - $194K
1% of jobs
$51K
$112K
$196K
$113,873
/year
$54.75
/hour
Data Analytics Salary Comparison by Location
Nationwide
United States
$113,873
Columbus
Ohio
$109,990
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How much does a Data Analytics make?
As of Jul 20, 2026, the average annual pay for a Data Analytics in the United States is $113,873 a year.
Just in case you need a simple salary calculator, that works out to be approximately $54.75 an hour. This is the equivalent of $2,189/week or $9,489/month.
While ZipRecruiter is seeing annual salaries as high as $196,000 and as low as $51,000, the majority of Data Analytics salaries currently range between $91,500 (25th percentile) to $129,000 (75th percentile) with top earners (90th percentile) making $163,000 annually across the United States. The average pay range for a Data Analytics varies greatly (by as much as 37500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
A Data Analytics in your area makes on average $109,990 per year, or $3,883 (3.410%) less than the national average annual salary of $113,873. Ohio ranks number 30 out of 50 states nationwide for Data Analytics salaries.
To estimate the most accurate annual salary range for Data Analytics jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Data Analytics on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Data Analytics Jobs
We've identified 10 cities where the typical salary for a Data Analytics job is above the national average. Topping the list is Soledad, CA, , with Two Rivers, WI, and Bumpass, VA, close behind in the second and third positions. Bumpass, VA, beats the national average by $38,549 (33.9%), and Soledad, CA, furthers that trend with another $56,470 (49.6%) above the $113,873 average.
With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Data Analytics appears to be exceedingly fruitful.
However, another factor to consider is the average salary for these top 10 cities varies modestly at 19% between Soledad, CA, and Nantucket, MA, , suggesting it may be difficult to see much positive wage advancement. The possibility of a lower cost of living may help determine the balance between location and salary for a Data Analytics role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Soledad, CA | $170,343 | $81.90 |
Two Rivers, WI | $153,655 | $73.87 |
Bumpass, VA | $152,422 | $73.28 |
Scotts Valley, CA | $147,363 | $70.85 |
Wasco, CA | $146,180 | $70.28 |
Andrews, MD | $145,096 | $69.76 |
New Lisbon, WI | $143,271 | $68.88 |
Nome, AK | $141,259 | $67.91 |
Cupertino, CA | $140,490 | $67.54 |
Nantucket, MA | $140,119 | $67.36 |
What are Top 5 Best Paying Related Data Analytics Jobs in the U.S.
We found a few related jobs that pay more than jobs in the Data Analytics category.
For example Oracle Data Engineer jobs pay as much as $28,955 (25.4%) more than the average Data Analytics salary of $113,873. If you're qualified, finding work as a Oracle Data Engineer may help you make more money than that of the average Data Analytics position.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Oracle Data Engineer | $142,828 | $68.67 |
Data Processing Engineer | $129,716 | $62.36 |
Etl Informatica Developer | $121,351 | $58.34 |
Junior Data Engineer | $71,799 | $34.52 |
Associate Aia | $41,327 | $19.87 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
