Data Analyst Python 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
Data Analyst Python Salary Comparison by Location
Nationwide
United States
$82,640
Columbus
Ohio
$79,822
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How much does a Data Analyst Python make?
As of May 29, 2026, the average annual pay for a Data Analyst Python 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 Data Analyst Python 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 Data Analyst Python 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 Data Analyst Python 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 43 out of 50 states nationwide for Data Analyst Python salaries.
To estimate the most accurate annual salary range for Data Analyst Python jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Data Analyst Python on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Data Analyst Python Jobs
We've identified 10 cities where the typical salary for a Data Analyst Python job is above the national average. Topping the list is Cupertino, CA, , with Berkeley, CA, and Kentville, NS, close behind in the second and third positions. Kentville, NS, beats the national average by $17,204 (20.8%), and Cupertino, CA, furthers that trend with another $19,317 (23.4%) 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 Data Analyst Python 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 Cupertino, 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 Analyst Python role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Cupertino, CA | $101,957 | $49.02 |
Berkeley, CA | $101,188 | $48.65 |
Kentville, NS | $99,844 | $48.00 |
Sitka, AK | $99,555 | $47.86 |
Whitehorse, YT | $99,209 | $47.70 |
North Cowichan, BC | $98,521 | $47.37 |
Sunnyvale, CA | $98,318 | $47.27 |
Duncan, BC | $98,142 | $47.18 |
Oak Bay, BC | $97,964 | $47.10 |
Santa Clara, CA | $97,596 | $46.92 |
What are Top 5 Best Paying Related Data Analyst Python Jobs in the U.S.
We found a few related jobs that pay more than jobs in the Data Analyst Python category.
For example Ssis Developer jobs pay as much as $27,632 (33.4%) more than the average Data Analyst Python salary of $82,640. If you're qualified, finding work as a Ssis Developer may help you make more money than that of the average Data Analyst Python position.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Ssis Developer | $110,272 | $53.02 |
Intern Quantitative Analyst | $106,992 | $51.44 |
Manager Of Data Analytics | $97,145 | $46.70 |
Etl Analyst | $97,132 | $46.70 |
Business Analyst Data Science | $94,537 | $45.45 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
