Average Data Analyst with Python Skills Salary in Seattle, Washington

$70,831
Avg. SalaryShow Hourly Rate
$4,861
Bonus
What am I worth?
Get pay report
How should I pay?
Price a job
The average salary for a Data Analyst with Python skills in Seattle, Washington is $70,831.
10%
$48k
MEDIAN
$71k
90%
$95k
Is Data Analyst your job title? Find out what you should be paid

Use our tool to get a personalized report on your market worth.

How it works:
1
Enter city & years of experience
2
Add pay factors like skills & education
3
Find your market worth with a report tailored to you
United States (change)
Salary
$48k - $95k
Bonus
$1k - $9k
Total Pay
$47k - $96k

Your Market Worth Over Time

How has your pay changed over time for your market? Find out by taking our salary quiz.

Job Description for Data Analyst

Data Analyst Tasks
  • Collect, analyze, and report data to meet customer needs.
  • Identify new sources of data and methods to improve data collection, analysis, and reporting.
  • Collect customer requirements, determine technical issues, and design reports to meet data analysis needs.

Data Analyst Job Listings

Search for more jobs
Search

Popular Skills for Data Analyst

Skills that pay less than market rate include Tableau Software, R, Microsoft Excel, SQL and Data Analysis.

Pay by Experience Level for Data Analyst

An entry-level Data Analyst with less than 1 year experience can expect to earn an average total compensation (includes tips, bonus, and overtime pay) of $59,781 based on 14 salaries. An early career Data Analyst with 1-4 years of experience earns an average total compensation of $69,986 based on 61 salaries. A mid-career Data Analyst with 5-9 years of experience earns an average total compensation of $71,875 based on 9 salaries.
Employees with Data Analyst in their job title in San Francisco, California earn an average of 16.3% more than the national average. The lowest salaries can be found in Chicago, Illinois (13.9% less), Austin, Texas (13.5% less) and Los Angeles, California (11.5% less).

Years of Experience

This data is based on 84 survey responses.
Entry Level
16.7%
Early Career
72.6%
Mid Career
10.7%