A person working as Data Analyst in Vermont typically earns around 78,700 USD. Salaries range from 37,800 USD (lowest) to 124,000 USD (highest).
This is the average salary including housing, transport, and other benefits. Data Analyst salaries in Vermont vary drastically based on experience, skills, gender, or location. Below you will find a detailed breakdown based on many different criteria.
Minimum Salary 37,800 USD |
Median 74,100 USD |
Maximum 124,000 USD |
Salaries for the position Data Analyst in Vermont range from 37,800 USD (starting salary) to 124,000 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 74,100 USD, half of the professionals who work as Data Analyst in Vermont 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 Vermont earn less than 60,300 USD, while 75% earn more. Similarly, the chart shows that 75% earn less than 84,900 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 Vermont compared to simply calculating the average. The majority of reported salaries, approximately 65%, fall within the range of 45,600 USD to 64,800 USD. About 20% of salaries are below the 45,600 USD mark, while 10% fall within the range of 64,800 USD to 73,600 USD. Only 5% of individuals have salaries exceeding 73,600 USD.
0 - 2 Years | 44,200 USD | |
2 - 5 Years | +42% | 62,700 USD |
5 - 10 Years | +31% | 82,400 USD |
10 - 15 Years | +23% | 101,000 USD |
15 - 20 Years | +6% | 108,000 USD |
20+ Years | +10% | 118,000 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 44,200 USD.
While someone with an experience level between two and five years is expected to earn 62,700 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 82,400 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 101,000 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 108,000 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 118,000 USD, 10% more than people with fifteen to twenty years of experience.
Certificate or Diploma | 55,000 USD | |
Bachelor's Degree | +59% | 87,600 USD |
Master's Degree | +33% | 117,000 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 55,000 USD.
At this level, the average salary becomes 87,600 USD, 59% more than the previous level.
At this level, the average salary becomes 117,000 USD, 33% 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 Vermont is 18 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 | 85,600 USD | +9% |
Cosmos DB Specialist | 80,300 USD | +2% |
Couch DB Specialist | 85,100 USD | +8% |
Data Analyst | 78,700 USD | -0% |
Data Analytics Engineer | 72,300 USD | -8% |
Data Architect | 85,100 USD | +8% |
Data Entry Coordintor | 44,900 USD | -43% |
Data Entry Supervisor | 55,700 USD | -29% |
Data Management Specialist | 99,800 USD | +27% |
Data Manager | 104,000 USD | +32% |
Data Modeling Analyst | 87,100 USD | +11% |
Data Security Analyst | 78,800 USD | +0% |
Data Technician | 48,000 USD | -39% |
Data Visualisation Analyst | 77,800 USD | -1% |
Data Warehousing Manager | 107,000 USD | +36% |
Data Warehousing Specialist | 76,700 USD | -3% |
Database Administration Manager | 102,000 USD | +30% |
Database Administrator | 84,900 USD | +8% |
Database Analyst | 89,100 USD | +13% |
Database Developer | 88,000 USD | +12% |
Database Report Writer | 82,400 USD | +5% |
Firebird Specialist | 78,000 USD | -1% |
IBM DB2 Specialist | 77,300 USD | -2% |
InfluxDB Specialist | 74,600 USD | -5% |
Information Technology Analyst | 83,100 USD | +6% |
Information Technology Architect | 85,200 USD | +8% |
Information Technology Business Analyst | 82,900 USD | +5% |
Information Technology Engineer | 74,800 USD | -5% |
Information Technology Operation Engineer | 71,100 USD | -10% |
Lotus Notes Developer | 81,100 USD | +3% |
MariaDB Specialist | 84,200 USD | +7% |
Microsoft SQL Server Specialist | 86,700 USD | +10% |
MongoDB Specialist | 82,800 USD | +5% |
MySQL Specialist | 75,500 USD | -4% |
Oracle Database Administrator | 78,100 USD | -1% |
Oracle Database Specialist | 91,500 USD | +16% |
PostgreSQL Specialist | 88,800 USD | +13% |
Redis Specialist | 80,100 USD | +2% |
SQLite Specialist | 81,500 USD | +3% |
Supabase Specialist | 65,700 USD | -17% |
Systems Integration Analyst | 80,500 USD | +2% |
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 74,100 USD and 84,900 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 Vermont ranges from 37,800 USD to 60,300 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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