A person working as Data Analyst in Kansas typically earns around 82,800 USD. Salaries range from 38,900 USD (lowest) to 131,000 USD (highest).
This is the average salary including housing, transport, and other benefits. Data Analyst salaries in Kansas vary drastically based on experience, skills, gender, or location. Below you will find a detailed breakdown based on many different criteria.
Minimum Salary 38,900 USD |
Median 78,500 USD |
Maximum 131,000 USD |
Salaries for the position Data Analyst in Kansas range from 38,900 USD (starting salary) to 131,000 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.
With a median salary of 78,500 USD, half of the professionals who work as Data Analyst in Kansas 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.
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 Kansas earn less than 63,600 USD, while 75% earn more. Similarly, the chart shows that 75% earn less than 90,300 USD while 25% earn more.
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 Kansas compared to simply calculating the average. The majority of reported salaries, approximately 65%, fall within the range of 47,700 USD to 68,500 USD. About 20% of salaries are below the 47,700 USD mark, while 10% fall within the range of 68,500 USD to 78,000 USD. Only 5% of individuals have salaries exceeding 78,000 USD.
0 - 2 Years | 44,900 USD | |
2 - 5 Years | +38% | 61,900 USD |
5 - 10 Years | +42% | 88,100 USD |
10 - 15 Years | +22% | 107,000 USD |
15 - 20 Years | +6% | 113,000 USD |
20+ Years | +9% | 124,000 USD |
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.
Employees with less than two years of experience earn approximately 44,900 USD.
While someone with an experience level between two and five years is expected to earn 61,900 USD, 38% more than someone with less than two year's experience.
Moving forward, an experience level between five and ten years lands a salary of 88,100 USD, 42% 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 107,000 USD, 22% 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 113,000 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 124,000 USD, 9% more than people with fifteen to twenty years of experience.
Certificate or Diploma | 53,700 USD | |
Bachelor's Degree | +58% | 84,900 USD |
Master's Degree | +39% | 118,000 USD |
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.
Employees at this education level have an average salary of 53,700 USD.
At this level, the average salary becomes 84,900 USD, 58% more than the previous level.
At this level, the average salary becomes 118,000 USD, 39% more than the previous level.
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.
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 |
Individuals working as Data Analyst in United States are likely to observe a salary increase of approximately % every months. The national average annual increment for all professions combined is 8% granted to employees every 16 months.
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.
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
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.
100% of surveyed staff reported that they haven't received any bonuses or incentives in the previous year while % said that they received at least one form of monetary bonus.
Those who got bonuses reported rates ranging from % to % of their annual salary.
Received Bonus | % | |
No Bonus | 100% |
The most standard form of bonus, where the employee is awarded based on their exceptional performance.
Company Performance BonusesOccasionally, 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 BonusesGranted upon achieving an important goal or milestone.
Holiday / End of Year BonusesThese types of bonuses are given without a reason and usually resemble an appreciation token.
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.
The main two types of jobs | |
Revenue Generators | Supporting 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: | Example: |
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.
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.
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.
The minimum pay rate per hour for people working as Data Analyst in Kansas is 19 USD. This is the minimum as per the gathered data in the salary survey not the minimum hourly rate mandated by law.
Job Title | Average Salary |
Information Technology | -100% | |
Cassandra Specialist | 97,200 USD | +17% |
Cosmos DB Specialist | 88,800 USD | +7% |
Couch DB Specialist | 91,500 USD | +10% |
Data Analyst | 82,800 USD | -0% |
Data Analytics Engineer | 82,300 USD | -1% |
Data Architect | 96,100 USD | +16% |
Data Entry Coordintor | 50,300 USD | -39% |
Data Entry Supervisor | 61,100 USD | -26% |
Data Management Specialist | 102,000 USD | +23% |
Data Manager | 116,000 USD | +40% |
Data Modeling Analyst | 93,000 USD | +12% |
Data Security Analyst | 90,300 USD | +9% |
Data Technician | 53,600 USD | -35% |
Data Visualisation Analyst | 89,100 USD | +8% |
Data Warehousing Manager | 116,000 USD | +40% |
Data Warehousing Specialist | 85,300 USD | +3% |
Database Administration Manager | 118,000 USD | +42% |
Database Administrator | 95,600 USD | +15% |
Database Analyst | 97,600 USD | +18% |
Database Developer | 93,600 USD | +13% |
Database Report Writer | 85,100 USD | +3% |
Firebird Specialist | 88,600 USD | +7% |
IBM DB2 Specialist | 83,100 USD | +0% |
InfluxDB Specialist | 87,000 USD | +5% |
Information Technology Analyst | 94,700 USD | +14% |
Information Technology Architect | 94,300 USD | +14% |
Information Technology Business Analyst | 92,200 USD | +11% |
Information Technology Engineer | 75,900 USD | -8% |
Information Technology Operation Engineer | 78,500 USD | -5% |
Lotus Notes Developer | 93,200 USD | +13% |
MariaDB Specialist | 93,400 USD | +13% |
Microsoft SQL Server Specialist | 98,200 USD | +19% |
MongoDB Specialist | 93,600 USD | +13% |
MySQL Specialist | 83,800 USD | +1% |
Oracle Database Administrator | 89,500 USD | +8% |
Oracle Database Specialist | 106,000 USD | +28% |
PostgreSQL Specialist | 90,400 USD | +9% |
Redis Specialist | 82,800 USD | -0% |
SQLite Specialist | 91,500 USD | +10% |
Supabase Specialist | 72,400 USD | -13% |
Systems Integration Analyst | 93,900 USD | +13% |
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 |
A good and competitive compensation would range anywhere between 78,500 USD and 90,300 USD. This is a very rough estimate. Experience and education play a very huge part in the final earnings.
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.
The base salary for a careers like Data Analyst in Kansas ranges from 38,900 USD to 63,600 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.
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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