As of February 01, 2025, the average annual salary for a Business Analytics and Insights Specialist III in Eugene, OR is $106,190. Salary.com reports that pay typically ranges from $94,590 to $118,090, with most professionals earning between $84,029 and $128,924.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $118,090 | $9,841 | $2,271 | $57 |
| Average | $106,190 | $8,849 | $2,042 | $51 |
| 25th Percentile | $94,590 | $7,883 | $1,819 | $45 |
An entry-level Business Analytics and Insights Specialist III with under 1 year experience makes about $99,985. With less than 2 years of experience, a mid-level Business Analytics and Insights Specialist III makes around $100,837. After 2-4 years, the Business Analytics and Insights Specialist III pay rises to about $102,540. Those senior Business Analytics and Insights Specialist III with 5-8 years of experience earn roughly $108,621, and those Business Analytics and Insights Specialist III having 8 years or more experience are expected to earn about $111,794 on average.
| Levels | Salary |
|---|---|
| Entry Level Business Analytics and Insights Specialist III | $99,985 |
| Intermediate Level Business Analytics and Insights Specialist III | $100,837 |
| Senior Level Business Analytics and Insights Specialist III | $102,540 |
| Specialist Level Business Analytics and Insights Specialist III | $108,621 |
| Expert Level Business Analytics and Insights Specialist III | $111,794 |
| Entry Level | 6% |
| Mid Level | 5% |
| Senior Level | 3% |
| Top Level | 2% |
| Experienced | 5% |
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Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Data Visualization: Data visualization is viewed by many disciplines as a modern equivalent of visual communication. It involves the creation and study of the visual representation of data. To communicate information clearly and efficiently, data visualization uses statistical graphics, plots, information graphics and other tools. Numerical data may be encoded using dots, lines, or bars, to visually communicate a quantitative message. Effective visualization helps users analyze and reason about data and evidence. It makes complex data more accessible, understandable and usable. Users may have particular analytical tasks, such as making comparisons or understanding causality, and the design principle of the graphic (i.e., showing comparisons or showing causality) follows the task. Tables are generally used where users will look up a specific measurement, while charts of various types are used to show patterns or relationships in the data for one or more variables.
Futures: Futures are derivative financial contracts obligating the buyer to purchase an asset or the seller to sell an asset at a predetermined future date and set price.
| Skill | Salary | Demand |
|---|---|---|
|
Data Science
|
$110,438 |
4%
|
|
Python
|
$109,376 |
3%
|
|
Innovation
|
$109,376 |
3%
|
|
Consulting
|
$108,314 |
2%
|
|
Data Analytics
|
$108,314 |
2%
|
|
Commitment
|
$107,252 |
1%
|
