As of July 01, 2026, the average salary for a Data Analysis/Statistician IV in Minnesota is $116,100 per year, which breaks down to an hourly rate of $56.
However, a Data Analysis/Statistician IV's salary can vary significantly. Here’s a look at the typical salary range:
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Data Analysis/Statistician IV Salaries by Percentile
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $122,200 | $10,183 | $2,350 | $59 |
| Average | $116,100 | $9,675 | $2,233 | $56 |
| 25th Percentile | $107,400 | $8,950 | $2,065 | $52 |
TechDigital Corporation - Minneapolis, MN
Via Christi Village Hays - HAYS, KS
Focus Staff - BENNINGTON, VT
CareFirstNY - CAYUTA, NY
A Data Analysis/Statistician IV's salary isn't a fixed number. It's shaped by several important factors. Below, we'll explore how your years of experience, geographic location, and company size can directly affect your earning potential.
Experience is a primary driver of a Data Analysis/Statistician IV's salary. As you build your skills and take on more complex tasks, your compensation generally increases. Here's how the average salary grows at different career stages:
| Job Role | Years of Experience | Average Salary |
|---|---|---|
| Data Analysis/Statistician II | 2-4 years | $88,578 |
| Data Analysis/Statistician III | 4-7 years | $109,441 |
| Data Analysis/Statistician IV | 7+ years | $116,052 |
| Data Analysis/Statistician V | 7-10 years | $164,032 |
| Statistics and Analytics Manager | 10+ years | $154,098 |
What Am I Worth?
Your salary can change significantly depending on where you work. States with a higher cost of living and strong industrial sectors often pay more to attract Data Analysis/Statistician IVs. For example, consider the average annual salaries in these key locations:
Salaries can also vary between different cities. Major metropolitan areas or cities with a high demand for technicians often offer more competitive pay. Here are a few examples of average annual salaries in different U.S. cities:
Data Analysis/Statistician IV salary potential scales significantly with company size. Data shows that Enterprise companies (5,000+ employees) pay the highest average salary at around $129,857. While startup companies pay approximate $109,820.
| Company Size | Employees | Average Salary |
|---|---|---|
| Startup | 1~50 | $109,820 |
| Growth Stage | 51~500 | $116,152 |
| Established | 501~5000 | $125,402 |
| Enterprise | 5000+ | $129,857 |
For Data Analysis/Statistician IV roles, the industry you choose can affect earning potential by as much as 40% (the gap between the highest and lowest paying industries). Data shows that the Aerospace & Defense and Business Services sectors offer the strongest compensation, at 20% above the average. In contrast, Data Analysis/Statistician positions in Biotechnology or Transportation typically offer lower base pay, as these industries often view Data Analysis/Statistician IV as a support function rather than a direct revenue driver.
| Industry Sector | Average Annual Salary | Average Hourly Rate | Pay vs.Avg |
|---|---|---|---|
| Aerospace & Defense | $139,320 | $67.0 | 20% |
Understanding how a Data Analysis/Statistician IV's annual salary breaks down can help with budgeting. Below, you can see the average hourly rate, weekly pay, and monthly pay for this role. Use the buttons to switch between different pay periods.
| Annual Salary | Monthly Pay | Weekly Pay | Hourly Wage | |
|---|---|---|---|---|
| 75th Percentile | $122,200 | $10,183 | $2,350 | $59 |
| Average | $116,100 | $9,675 | $2,233 | $56 |
| 25th Percentile | $107,400 | $8,950 | $2,065 | $52 |
For a Data Analysis/Statistician IV, the most direct path to higher earnings is advancing to the Data Analysis/Statistician V role. This promotion typically comes with a significant pay increase, bringing the average annual salary to $164,100 - a projected growth of 41% over your current level.
Ready to take the next step in your career? Browse thousands of current Data Analysis/Statistician IV job openings on our job board. Use the search bar below to find your perfect match.
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