R Data Analyst Salary
$34K - $43.5K
5% of jobs
$43.5K - $53K
7% of jobs
$53K - $62.5K
13% of jobs
$62.8K is the 25th percentile. Wages below this are outliers.
$62.5K - $72K
18% of jobs
The median wage is $76.6K / yr.
$72K - $81.5K
16% of jobs
$81.5K - $91K
13% of jobs
$95.4K is the 75th percentile. Wages above this are outliers.
$91K - $100.5K
9% of jobs
$100.5K - $110K
6% of jobs
$110K - $119.5K
8% of jobs
$119.5K - $129K
4% of jobs
$129K - $138.5K
3% of jobs
$34K
$76.5K
$136.5K
$82,640
/year
$39.73
/hour
R Data Analyst Salary Comparison by Location
Nationwide
United States
$82,640
Columbus
Ohio
$79,822
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How much does a R Data Analyst make?
As of Aug 27, 2026, the average annual pay for a R Data Analyst in the United States is $82,640 a year.
Just in case you need a simple salary calculator, that works out to be approximately $39.73 an hour. This is the equivalent of $1,589/week or $6,886/month.
While ZipRecruiter is seeing annual salaries as high as $136,500 and as low as $34,000, the majority of R Data Analyst salaries currently range between $62,500 (25th percentile) to $97,000 (75th percentile) with top earners (90th percentile) making $120,500 annually across the United States. The average pay range for a R Data Analyst varies greatly (by as much as 34500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
A R Data Analyst in your area makes on average $79,822 per year, or $2,818 (3.410%) less than the national average annual salary of $82,640. Ohio ranks number 30 out of 50 states nationwide for R Data Analyst salaries.
To estimate the most accurate annual salary range for R Data Analyst jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a R Data Analyst on ZipRecruiter today.
What are Top 10 Highest Paying Cities for R Data Analyst Jobs
We've identified 10 cities where the typical salary for a R Data Analyst job is above the national average. Topping the list is Berkeley, CA, , with Sitka, AK, and Wyoming, WY, close behind in the second and third positions. Wyoming, WY, beats the national average by $15,919 (19.3%), and Berkeley, CA, furthers that trend with another $18,548 (22.4%) above the $82,640 average.
With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a R Data Analyst appears to be exceedingly fruitful.
Finally, another factor to consider is the average salary for these top 10 cities varies very little at 4% between Berkeley, CA, and Santa Clara, CA, , reinforcing the limited potential for much wage advancement. The possibility of a lower cost of living may be the best factor to use when considering location and salary for a R Data Analyst role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Berkeley, CA | $101,188 | $48.65 |
Sitka, AK | $99,555 | $47.86 |
Wyoming, WY | $98,559 | $47.38 |
Sunnyvale, CA | $98,318 | $47.27 |
San Francisco, CA | $97,364 | $46.81 |
Stanford, CA | $97,098 | $46.68 |
Livermore, CA | $96,936 | $46.60 |
San Jose, CA | $96,854 | $46.56 |
Mountain View, CA | $96,765 | $46.52 |
Santa Clara, CA | $96,637 | $46.46 |
What are Top 5 Best Paying Related R Data Analyst Jobs in the U.S.
We found a few related jobs that pay more than jobs in the R Data Analyst category.
For example Functional Analyst jobs pay as much as $19,101 (23.1%) more than the average R Data Analyst salary of $82,640. If you're qualified, finding work as a Functional Analyst may help you make more money than that of the average R Data Analyst position.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Functional Analyst | $101,741 | $48.91 |
Platform Analyst | $88,303 | $42.45 |
Learning Analyst | $82,193 | $39.52 |
Learning And Development Analyst | $66,271 | $31.86 |
Client Technology Analyst | $65,465 | $31.47 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
