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Data Analyst Average Salary in United States 2024

How much money does a person working as Data Analyst make in United States?


Average Yearly Salary
87,200 USD
( 7,260 USD monthly)

LOW
41,800
USD
AVERAGE
87,200
USD
HIGH
137,000
USD
All salary figures displayed here are per year except when noted otherwise.
All salary and compensation figures displayed here are gross salary figures, that is the salary before tax deductions. Because taxes may differ across sectors and locations, it is difficult to accurately calculate the net salary after tax for every career.

A person working as Data Analyst in United States typically earns around 87,200 USD. Salaries range from 41,800 USD (lowest) to 137,000 USD (highest).


Salary Variance

This is the average salary including housing, transport, and other benefits. Data Analyst salaries in United States vary drastically based on experience, skills, gender, or location. Below you will find a detailed breakdown based on many different criteria.



Data Analyst Pay Scale and Salaries in United States

Median and salary distribution United States Data Analyst yearly
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Salary Structure and Pay Scale Comparison

5% of people earn
81,400 USD or more
10% of people earn
71,700 to 81,400 USD
20% of people earn
50,400 USD or less
65% of people earn
50,400 to 71,700 USD
Minimum Salary
41,800 USD
Median
82,000 USD
Maximum
137,000 USD




Median Salary, maximum and minimum salary, minimum wage, starting salary, and the salary range

All salary figures displayed here are per year except when noted otherwise.
  • Salary Range, Minimum Wage, and Starting Salary

    Salaries for the position Data Analyst in United States range from 41,800 USD (starting salary) to 137,000 USD (maximum salary). It should be noted that the given figure is not the legally mandated minimum wage; rather, it represents the lowest figure reported in a salary survey that included thousands of participants and professionals from all regions of the country.

  • Median Salary

    With a median salary of 82,000 USD, half of the professionals who work as Data Analyst in United States earn less than this amount, and the other half earn more. The median salary denotes the middle value of salaries. Ideally, you would want to belong to the group earning more than the median salary, located on the right side of the salary distribution graph.

  • Percentiles and Salary Scale

    The median is closely associated with two other values known as the 25th and 75th percentiles. By examining the salary distribution chart, it can be determined that 25% of professionals employed as Data Analyst in United States earn less than 66,700 USD, while 75% earn more. Similarly, the chart shows that 75% earn less than 94,000 USD while 25% earn more.

  • Pay Scale Structure

    To provide a better understanding of expected salaries, we categorized the frequently occurring salaries into different ranges. This approach provides a more precise representation of salary distribution for the job title Data Analyst in United States compared to simply calculating the average. The majority of reported salaries, approximately 65%, fall within the range of 50,400 USD to 71,700 USD. About 20% of salaries are below the 50,400 USD mark, while 10% fall within the range of 71,700 USD to 81,400 USD. Only 5% of individuals have salaries exceeding 81,400 USD.

Salary Comparison by Years of Experience / Data Analyst / United States

How do experience and age affect pay?

0 - 2 Years
49,000 USD
2 - 5 Years+42%
69,400 USD
5 - 10 Years+31%
91,200 USD
10 - 15 Years+23%
112,000 USD
15 - 20 Years+6%
119,000 USD
20+ Years+10%
131,000 USD
Percentage increase and decrease are relative to the previous value
Salary comparison by years of experience yearly United States Data Analyst
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The experience level is the most important factor in determining the salary. Naturally, the more years of experience the higher the wage. We broke down salaries by experience level for people working as Data Analyst and this is what we found.


All salary figures displayed here are per year except when noted otherwise.

Employees with less than two years of experience earn approximately 49,000 USD.

While someone with an experience level between two and five years is expected to earn 69,400 USD, 42% more than someone with less than two year's experience.

Moving forward, an experience level between five and ten years lands a salary of 91,200 USD, 31% more than someone with two to five years of experience.

Additionally, professionals whose expertise span anywhere between ten and fifteen years get a salary equivalent to 112,000 USD, 23% more than someone with five to ten years of experience.

If the experience level is between fifteen and twenty years, then the expected wage is 119,000 USD, 6% more than someone with ten to fifteen years of experience.

Lastly, employees with more than twenty years of professional experience get a salary of 131,000 USD, 10% more than people with fifteen to twenty years of experience.

On average, a person's salary doubles their starting salary by the time they cross the 10 years* experience mark.
* Based on the average change in salary over time. Salary variations differ from person to person.

Typical Salary Progress for Most Careers

Salary Comparison By Experience Level
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Salary Comparison By Education / Data Analyst / United States

How do education levels affect salaries?

Displayed below is the average salary variance between different education levels of professionals working as Data Analyst.

Certificate or Diploma
60,800 USD
Bachelor's Degree+59%
96,900 USD
Master's Degree+33%
129,000 USD
Percentage increase and decrease are relative to the previous value
Salary comparison by education level yearly United States Data Analyst
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We all know that higher education equals a bigger salary, but how much more money can a degree add to your income? We broke down salaries by education level for the position Data Analyst in order to make a comparison.


Level 1: Certificate or Diploma

Employees at this education level have an average salary of 60,800 USD.


Level 2: Bachelor's Degree

At this level, the average salary becomes 96,900 USD, 59% more than the previous level.


Level 3: Master's Degree

At this level, the average salary becomes 129,000 USD, 33% more than the previous level.



Is a Master's degree or an MBA worth it? Should you pursue higher education?

A Master's degree program or any post-graduate program in United States costs anywhere from 39,600 USD to 119,000 USD and lasts approximately two years. That is quite an investment.

You can't really expect any salary increases during the study period, assuming you already have a job. In most cases, a salary review is conducted once education is completed and the degree has been attained.

Many people pursue higher education as a tactic to switch to a higher-paying job. The numbers seem to support the theory. The average increase in compensation while changing jobs is approximately 10% more than the customary salary increment.

If you can afford the costs of higher education, the return on investment is definitely worth it. You should be able to recover the costs in roughly a year or so.


Typical Salary Difference by Education for Most Careers

Salary Comparison By Education Level
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Salary and Compensation Comparison By Gender / Data Analyst / United States

Salary comparison by gender United States Data Analyst yearly
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Though gender should not have an effect on pay, in reality, it does. So who gets paid more: men or women? For the people who work as Data Analyst in United States, the average difference between the salary of male and female employees is 5%.

Male
89,400 USD
Female-5%
85,300 USD
Percentage increase and decrease are relative to the previous value

Salary Comparison By Gender in United States for all Careers

Salary comparison by gender yearly United States
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Average Annual Salary Increment Percentage / Data Analyst / United States

How much are annual salary increments in United States for individuals working as Data Analyst? How often do employees get salary raises?

Individuals working as Data Analyst in United States are likely to observe a salary increase of approximately 11% every 17 months. The national average annual increment for all professions combined is 8% granted to employees every 16 months.

Annual Salary Increment Rate United States Data Analyst
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The figures provided here are averages of numbers. Those figures should be taken as general guidelines. Salary increments will vary from person to person and depend on many factors, but your performance and contribution to the success of the organization remain the most important factors in determining how much and how often you will be granted a raise.

United States / All Professions

Annual Salary Increment Rate United States
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The term Annual Salary Increase usually refers to the increase in 12 calendar month period, but because it is rare that people get their salaries reviewed exactly on the one-year mark, it is more meaningful to know the frequency and the rate at the time of the increase.

How to calculate the salary increment percentage?

The annual salary Increase in a calendar year (12 months) can be easily calculated as follows: Annual Salary Increase = Increase Rate x 12 / Increase Frequency

The average salary increase in one year (12 months) in United States is 6%.

Worldwide Salary Raises: All Countries and All Jobs

World Average Annual Salary Increment
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Salary Packages and Schemes

Not all compensation increases are reflected directly in the salary. Some companies offer upgraded packages to their staff instead of cash money. The figures displayed here account only for direct increments to the base salary.



Bonus and Incentive Rates / Data Analyst / United States

How much and how often are bonuses being awarded?Annual Salary Bonus Rate United States Data Analyst
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42% of surveyed staff reported that they haven't received any bonuses or incentives in the previous year while 58% said that they received at least one form of monetary bonus.

Those who got bonuses reported rates ranging from 3% to 6% of their annual salary.

Received Bonus
58%
No Bonus
42%

Types of Bonuses Considered

Individual Performance-Based Bonuses

The most standard form of bonus, where the employee is awarded based on their exceptional performance.

Company Performance Bonuses

Occasionally, some companies like to celebrate excess earnings and profits with their staff collectively in the form of bonuses that are granted to everyone. The amount of the bonus will probably be different from person to person depending on their role within the organization.

Goal-Based Bonuses

Granted upon achieving an important goal or milestone.

Holiday / End of Year Bonuses

These types of bonuses are given without a reason and usually resemble an appreciation token.

Bonuses Are Not Commissions!

People tend to confuse bonuses with commissions. A commission is a prefixed rate at which someone gets paid for items sold or deals completed while a bonus is in most cases arbitrary and unplanned.


What makes a position worthy of good bonuses and a high salary?

The main two types of jobs

Revenue GeneratorsSupporting Cast

Employees that are directly involved in generating revenue or profit for the organization. Their field of expertise usually matches the type of business.

Employees that support and facilitate the work of revenue generators. Their expertise is usually different from that of the core business operations.

Example:
A graphics designer working for a graphics designing company.

Example:
A graphic designer in the marketing department of a hospital.


Revenue generators usually get more and higher bonuses, higher salaries, and more frequent salary increments. The reason is quite simple: it is easier to quantify your value to the company in monetary terms when you participate in revenue generation.

Try to work for companies where your skills can generate revenue. We can't all generate revenue and that's perfectly fine.

Bonus Comparison by Seniority Level

Top management personnel and senior employees naturally exhibit higher bonus rates and frequencies than juniors. This is very predictable due to the inherent responsibilities of being higher in the hierarchy. People in top positions can easily get double or triple bonus rates than employees down the pyramid.

Average Hourly Wage / Data Analyst / United States


42 USD per hour

The average hourly wage (pay per hour) for individuals working as Data Analyst in United States is 42 USD.This is the rate they get paid for every worked hour.


Hourly Wage = Annual Salary / ( 52 x 5 x 8 )

About The Hourly Pay Rate

The hourly wage is the salary paid in one worked hour. Usually, jobs are classified into two categories: salaried jobs and hourly jobs. Salaried jobs pay a fixed amount regardless of the hours worked. Hourly jobs pay per worked hour. To convert salary into hourly wage the above formula is used (assuming 5 working days in a week and 8 working hours per day which is the standard for most jobs). The hourly wage calculation may differ slightly depending on the worked hours per week and the annual vacation allowance. The figures mentioned above are good approximations and are considered to be the standard. One major difference between salaried employees and hourly paid employees is overtime eligibility. Salaried employees are usually exempt from overtime as opposed to hourly paid staff.

What is the minimum hourly rate of pay?

The minimum pay rate per hour for people working as Data Analyst in United States is 20 USD. This is the minimum as per the gathered data in the salary survey not the minimum hourly rate mandated by law.

Salary comparison with similar jobs

Job TitleAverage Salary
Information Technology-100%
Cassandra Specialist99,800 USD+15%
Cosmos DB Specialist93,300 USD+7%
Couch DB Specialist91,200 USD+5%
Data Analyst87,200 USD+0%
Data Analytics Engineer86,700 USD-1%
Data Architect95,800 USD+10%
Data Entry Coordintor52,100 USD-40%
Data Entry Supervisor57,600 USD-34%
Data Management Specialist110,000 USD+26%
Data Manager126,000 USD+45%
Data Modeling Analyst91,900 USD+5%
Data Security Analyst93,400 USD+7%
Data Technician56,700 USD-35%
Data Visualisation Analyst92,200 USD+6%
Data Warehousing Manager119,000 USD+37%
Data Warehousing Specialist92,400 USD+6%
Database Administration Manager115,000 USD+32%
Database Administrator97,400 USD+12%
Database Analyst94,100 USD+8%
Database Developer94,600 USD+9%
Database Report Writer90,000 USD+3%
Firebird Specialist91,000 USD+4%
IBM DB2 Specialist82,800 USD-5%
InfluxDB Specialist87,200 USD+0%
Information Technology Analyst95,100 USD+9%
Information Technology Architect99,100 USD+14%
Information Technology Business Analyst99,800 USD+15%
Information Technology Engineer83,000 USD-5%
Information Technology Operation Engineer84,300 USD-3%
Lotus Notes Developer94,300 USD+8%
MariaDB Specialist96,000 USD+10%
Microsoft SQL Server Specialist103,000 USD+18%
MongoDB Specialist100,000 USD+15%
MySQL Specialist88,400 USD+1%
Oracle Database Administrator88,400 USD+1%
Oracle Database Specialist105,000 USD+20%
PostgreSQL Specialist99,200 USD+14%
Redis Specialist87,600 USD+1%
SQLite Specialist92,800 USD+6%
Supabase Specialist73,900 USD-15%
Systems Integration Analyst94,100 USD+8%

Salary Comparison By City

CityAverage Salary
Boston88,900 USD
Chicago103,000 USD
Houston102,000 USD
Las Vegas90,200 USD
Los Angeles102,000 USD
New York108,000 USD
San Francisco94,100 USD
San Jose96,300 USD

Salary Comparison By State

StateAverage Salary
Alabama88,900 USD
Alaska78,000 USD
Arizona93,300 USD
Arkansas86,700 USD
California99,500 USD
Colorado90,200 USD
Connecticut88,000 USD
Delaware82,200 USD
District of Columbia80,800 USD
Florida101,000 USD
Georgia99,700 USD
Hawaii85,600 USD
Idaho86,000 USD
Illinois92,400 USD
Indiana88,700 USD
Iowa82,400 USD
Kansas82,800 USD
Kentucky85,800 USD
Louisiana86,300 USD
Maine79,800 USD
Maryland90,600 USD
Massachusetts91,100 USD
Michigan95,000 USD
Minnesota90,200 USD
Mississippi85,400 USD
Missouri92,000 USD
Montana81,800 USD
Nebraska84,900 USD
Nevada87,100 USD
New Hampshire83,900 USD
New Jersey97,900 USD
New Mexico87,500 USD
New York103,000 USD
North Carolina90,700 USD
North Dakota74,400 USD
Ohio92,500 USD
Oklahoma84,500 USD
Oregon85,000 USD
Pennsylvania94,800 USD
Rhode Island78,100 USD
South Carolina88,000 USD
South Dakota78,900 USD
Tennessee92,400 USD
Texas99,000 USD
Utah84,500 USD
Vermont78,700 USD
Virginia96,000 USD
Washington95,600 USD
West Virginia85,300 USD
Wisconsin93,800 USD
Wyoming79,800 USD

Government vs Private Sector Salary Comparison

Where can you get paid more, working in a private company or the government? The difference between the public or government sector salaries and the private sector salaries in United States is 5% on average across all career fields.

Private Sector
92,800 USD
Public Sector+5%
97,500 USD
Percentage increase and decrease are relative to the previous value

Salary Statistics and Calculation Guide

What is considered to be a good and competitive salary for the job title Data Analyst in United States?

A good and competitive compensation would range anywhere between 82,000 USD and 94,000 USD. This is a very rough estimate. Experience and education play a very huge part in the final earnings.

Gross Salary (before tax) and Net Salary (after tax)

All salary and compensation figures displayed here are gross salary figures, that is the salary before tax deductions. Because taxes may differ across sectors and locations, it is difficult to accurately calculate the net salary after tax for every career.

Base / Basic Salary

The base salary for a careers like Data Analyst in United States ranges from 41,800 USD to 66,700 USD. The base salary depends on many factors including experience and education. It is not easy to provide a figure with very little information, so take this range with a grain of salt.


What is the difference between the median and the average salary?

Both are indicators. If your salary is higher than both the average and the median then you are doing very well. If your salary is lower than both, then many people earn more than you and there is plenty of room for improvement. If your wage is between the average and the median, then things can be a bit complicated. We wrote a guide to explain all about the different scenarios. How to compare your salary


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