Data Visualization Expert Salary
$54K - $63.5K
2% of jobs
$63.5K - $73K
14% of jobs
$73K - $82.5K
5% of jobs
$86.3K is the 25th percentile. Wages below this are outliers.
$82.5K - $92K
10% of jobs
$92K - $101.5K
10% of jobs
The median wage is $108K / yr.
$101.5K - $111K
14% of jobs
$119.1K is the 75th percentile. Wages above this are outliers.
$111K - $120.5K
24% of jobs
$120.5K - $130K
4% of jobs
$130K - $139.5K
2% of jobs
$139.5K - $149K
10% of jobs
$149K - $158.5K
6% of jobs
$54K
$111.5K
$161K
$109,451
/year
$52.62
/hour
Data Visualization Expert Salary Comparison by Location
Nationwide
United States
$109,451
Columbus
Ohio
$105,718
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How much does a Data Visualization Expert make?
As of Jul 5, 2026, the average annual pay for a Data Visualization Expert in the United States is $109,451 a year.
Just in case you need a simple salary calculator, that works out to be approximately $52.62 an hour. This is the equivalent of $2,104/week or $9,120/month.
While ZipRecruiter is seeing annual salaries as high as $161,000 and as low as $54,000, the majority of Data Visualization Expert salaries currently range between $90,000 (25th percentile) to $123,000 (75th percentile) with top earners (90th percentile) making $152,000 annually across the United States. The average pay range for a Data Visualization Expert varies greatly (by as much as 33000), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
A Data Visualization Expert in your area makes on average $105,718 per year, or $3,733 (3.411%) less than the national average annual salary of $109,451. Ohio ranks number 38 out of 50 states nationwide for Data Visualization Expert salaries.
To estimate the most accurate annual salary range for Data Visualization Expert jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Data Visualization Expert on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Data Visualization Expert Jobs
We've identified 10 cities where the typical salary for a Data Visualization Expert job is above the national average. Topping the list is Berkeley, CA, , with Sitka, AK, and Mountain View, CA, close behind in the second and third positions. Mountain View, CA, beats the national average by $19,666 (18.0%), and Berkeley, CA, furthers that trend with another $23,980 (21.9%) above the $109,451 average.
With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Data Visualization Expert 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 Data Visualization Expert role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Berkeley, CA | $133,431 | $64.15 |
Sitka, AK | $131,853 | $63.39 |
Mountain View, CA | $129,117 | $62.08 |
San Francisco, CA | $128,952 | $62.00 |
San Luis Obispo, CA | $128,516 | $61.79 |
Livermore, CA | $128,384 | $61.72 |
San Jose, CA | $128,275 | $61.67 |
Waimea, HI | $127,656 | $61.37 |
Foster City, CA | $127,566 | $61.33 |
Santa Clara, CA | $127,545 | $61.32 |
What are Top 5 Best Paying Related Data Visualization Expert Jobs in the U.S.
Analyzing some similar jobs related to the Data Visualization Expert job category, we found that Systems Operations Manager jobs have average salaries similar than Data Visualization Expert jobs.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Systems Operations Manager | $102,067 | $49.07 |
Deployment Planner | $91,541 | $44.01 |
Sales Operations Specialist | $61,243 | $29.44 |
Cyber Operations | $56,226 | $27.03 |
Government Printing Office | $51,476 | $24.75 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
