As of March 01, 2025, the average annual salary for a Business Data Analyst I in Clay, NY is $72,997. Salary.com reports that pay typically ranges from $65,958 to $80,322, with most professionals earning between $59,549 and $86,991.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $80,807 | $6,734 | $1,554 | $39 |
| Average | $73,438 | $6,120 | $1,412 | $35 |
| 25th Percentile | $66,356 | $5,530 | $1,276 | $32 |
An entry-level Business Data Analyst I with under 1 year experience makes about $72,472. With less than 2 years of experience, a mid-level Business Data Analyst I makes around $73,216. After 2-4 years, the Business Data Analyst I pay rises to about $74,856. Those senior Business Data Analyst I with 5-8 years of experience earn roughly $75,184, and those Business Data Analyst I having 8 years or more experience are expected to earn about $75,403 on average.
| Levels | Salary |
|---|---|
| Entry Level Business Data Analyst I | $72,472 |
| Intermediate Level Business Data Analyst I | $73,216 |
| Senior Level Business Data Analyst I | $74,856 |
| Specialist Level Business Data Analyst I | $75,184 |
| Expert Level Business Data Analyst I | $75,403 |
| Entry Level | 1% |
| Mid Level | 0% |
| Senior Level | 2% |
| Top Level | 2% |
| Experienced | 3% |
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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.
BI: Business intelligence (BI) is a technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions.
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.
| Skill | Salary | Demand |
|---|---|---|
|
Python
|
$77,377 |
6%
|
|
Data Science
|
$77,377 |
6%
|
|
Tableau
|
$75,917 |
4%
|
|
Economics
|
$75,917 |
4%
|
|
Business Analytics
|
$75,917 |
4%
|
|
Data Analysis
|
$74,457 |
2%
|
