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Data Analysis Average Salaries in Ohio 2024

How much money does a person working in Data Analysis make in Ohio?


Average Yearly Salary
104,000 USD
( 8,700 USD monthly)

LOW
81,700
USD
AVERAGE
104,000
USD
HIGH
143,000
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 in Data Analysis in Ohio typically earns around 104,000 USD. Salaries range from 81,700 USD (lowest average) to 143,000 USD (highest average, actual maximum salary is higher).


Salary Variance

The provided figure represents the median compensation that encompasses housing, transportation, and other perks. The salaries within the Data Analysis domain in Ohio exhibit significant discrepancies across various professions. In case you seek information about the remuneration of a specific position, please refer to the salaries listed below for respective job titles.



Data Analysis Jobs Pay Scale and Salaries in Ohio

Median and salary distribution Ohio Data Analysis yearly
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Salary Structure and Pay Scale Comparison

5% of people earn
111,000 USD or more
10% of people earn
104,000 to 111,000 USD
20% of people earn
90,100 USD or less
65% of people earn
90,100 to 104,000 USD
Minimum Salary
81,700 USD
Median
105,000 USD
Maximum
143,000 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 in Data Analysis in Ohio range from 81,700 USD (starting average salary) to 143,000 USD (maximum average salary, actual maximum is higher). To clarify, the number presented is not the legally mandated minimum wage. Rather, it represents the lowest figure reported in a salary survey that involved thousands of participants and professionals from across the entire country.

  • Median Salary

    The median income in the field of Data Analysis is 105,000 USD, implying that half of the workforce in Ohio earns less than this figure, and the other half earns more. It represents the central value of salaries. As a rule of thumb, you would prefer to be part of the group earning above the median wage, situated on the right-hand side of the salary distribution chart.

  • Percentiles and Salary Scale

    Two values that are highly correlated with the median are the 25th and 75th percentiles. By examining the salary distribution diagram, it is possible to determine that 25% of individuals employed in Data Analysis in Ohio earn less than 97,200 USD, while 75% of them earn more. Additionally, the diagram reveals that 75% of individuals earn less than 113,000 USD, while 25% earn more than that.

  • Pay Scale Structure

    Data was regrouped into brackets to provide a better understanding of what salaries can be expected. This approach was deemed more accurate than relying solely on the average salary, as it offers greater insights into the distribution of salaries in the field of Data Analysis in Ohio. The analysis revealed that roughly 65% of all reported salaries fell within the range of 90,100 USD to 104,000 USD. Approximately 20% of salaries were below the 90,100 USD mark, while 10% ranged from 104,000 USD to 111,000 USD. Only 5% of individuals earned a gross salary of 111,000 USD or higher.

Salary Comparison by Years of Experience

How does a person's salary progress over time?

Salary Comparison By Experience Level
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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.

Generally speaking, employees in Data Analysis in Ohio having experience from two to five years earn on average 32% more than freshers and juniors across all industries and disciplines.

Professionals with experience of more than five years tend to earn on average 36% more than those with five years or less of work experience.

As you hit the ten years mark, the salary increases by 21% and an additional 14% for those who have crossed the 15 years mark.

Those figures are presented as guidelines only. The numbers become more significant if you consider one job title at a time.


Change in salary based on experience varies drastically from one location to another and depends hugely on the career field as well. The data displayed here is the combined average of many different jobs. To view accurate figures, choose a specific job title.
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.


Salary and Compensation Comparison By Gender / Data Analysis / Ohio

Salary comparison by gender United States Data Analysis 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? In the field of Data Analysis in United States, the average difference between the salary of male and female employees is 6%.

Male
101,000 USD
Female-6%
94,700 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 Analysis / Ohio

How much are annual salary increments in Ohio for individuals working in Data Analysis? How often do employees get salary raises?

Professionals working in Data Analysis 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.

Annual Salary Increment Rate United States Data Analysis
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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 Analysis / United States

How much and how often are bonuses being awarded?Annual Salary Bonus Rate United States Data Analysis
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100% of surveyed staff in Data Analysis 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%

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.

Hourly Average Wage / Data Analysis / Ohio


50 USD per hour

The average hourly wage (pay per hour) in Data Analysis in Ohio is 50 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 in Data Analysis in Ohio is 39 USD. This is the minimum as per the gathered data in the salary survey not the minimum hourly rate mandated by law.

Salary Comparison By City

CityAverage Salary
Cincinnati83,500 USD
Cleveland86,300 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 in Data Analysis in Ohio?

A good and competitive compensation would range anywhere between 105,000 USD and 113,000 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 jobs in Data Analysis in Ohio ranges from 81,700 USD to 97,200 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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