As of May 01, 2025, the average annual salary for a Senior Statistical Data Modeler in Provo, UT is $116,193. According to Salary.com, salaries can range from a low of $98,865 to a high of $136,023, with most professionals earning between $107,123 and $126,573.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $126,573 | $10,548 | $2,434 | $61 |
| Average | $116,193 | $9,683 | $2,234 | $56 |
| 25th Percentile | $107,123 | $8,927 | $2,060 | $52 |
An entry-level Senior Statistical Data Modeler with under 1 year experience makes about $112,145. With less than 2 years of experience, a mid-level Senior Statistical Data Modeler makes around $112,822. After 2-4 years, the Senior Statistical Data Modeler pay rises to about $114,176. Those senior Senior Statistical Data Modeler with 5-8 years of experience earn roughly $118,068, and those Senior Statistical Data Modeler having 8 years or more experience are expected to earn about $121,633 on average.
| Levels | Salary |
|---|---|
| Entry Level Senior Statistical Data Modeler | $112,145 |
| Intermediate Level Senior Statistical Data Modeler | $112,822 |
| Senior Level Senior Statistical Data Modeler | $114,176 |
| Specialist Level Senior Statistical Data Modeler | $118,068 |
| Expert Level Senior Statistical Data Modeler | $121,633 |
| Entry Level | 3% |
| Mid Level | 3% |
| Senior Level | 2% |
| 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.
AWS: Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
Big Data: Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed to big data are veracity (i.e., how much noise is in the data) and value. Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.
| Skill | Salary | Demand |
|---|---|---|
|
Enterprise Architecture
|
$120,841 |
4%
|
|
Integrity
|
$120,841 |
4%
|
|
Interpersonal Communication
|
$120,841 |
4%
|
|
Verbal Communication
|
$120,841 |
4%
|
|
NoSQL
|
$120,841 |
4%
|
|
AWS
|
$120,841 |
4%
|
