The salary of a Business Data Analyst III in the United States varies depending on several factors, including experience, location, education level, marketing trend and company sizes.
As of March 01, 2025, the average annual salary for a Business Data Analyst III in the United States is $103,653. According to Salary.com, salaries can range from a low of $80,403 to a high of $126,909, with most professionals earning between $91,483 and $115,826.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $115,826 | $9,652 | $2,227 | $56 |
| Average | $103,653 | $8,638 | $1,993 | $50 |
| 25th Percentile | $91,483 | $7,624 | $1,759 | $44 |
An entry-level Business Data Analyst III with less than 1 year of experience earns about $98,204. With 1-2 years of experience, the average salary increases to $99,112. For 2-4 years of experience, the pay typically rises to $100,928. Senior-level professionals with 5-8 years of experience earn around $107,287, and those with over 8 years of experience can expect an average of $110,557.
| Levels | Salary |
|---|---|
| Entry Level Business Data Analyst III | $98,204 |
| Intermediate Level Business Data Analyst III | $99,112 |
| Senior Level Business Data Analyst III | $100,928 |
| Specialist Level Business Data Analyst III | $107,287 |
| Expert Level Business Data Analyst III | $110,557 |
| Entry Level | 5% |
| Mid Level | 4% |
| Senior Level | 3% |
| Top Level | 4% |
| Experienced | 7% |
Salaries in the United States differ widely between states due to factors like cost of living, local economies, and industry presence.
What Am I Worth?
Salaries in the United States can vary greatly between cities due to factors like cost of living, local economies, and industry presence.
As of March 01, 2025, our research reveals a significant shift in Business Data Analyst III compensation over the past six years. For example, the median salary increased from $100,375 in 2023 to approximately $100,203 in 2024. (For a detailed analysis of Business Data Analyst III salary trends, click here.)
Key factors like location, experience, industry demand, and economic growth significantly influence salary variations, making them important to consider.
Salary.com job board provides millions of Business Data Analyst III information for you to search for. Click on search button below to see Business Data Analyst III job openings or enter a new job title here.
Here are companies hiring for Business Data Analyst III and their salaries, click below for more details.
| Core Compensation | ||||
| Core Compensation | Median | % of Total | ||
| Base Salary | $103,653 | 71.6% | ||
| Bonus | $0 | 0.0% | ||
| Value of Benefits | ||||
| Core Compensation | Median | % of Total | ||
| Social Security | $7,929 | 5.5% | ||
| 401K/403B | $4,353 | 3.0% | ||
| Disability | $2,073 | 1.4% | ||
| Healthcare | $8,352 | 5.8% | ||
| Pension | $5,597 | 3.9% | ||
| Time Off | $12,757 | 8.8% | ||
| Total Compensation | $144,716 | 100% | ||
| Degree Level | % of user with this level of education |
|---|---|
| No Diploma | 3.1% |
| High School | 3.5% |
| Associates | 6.3% |
| Bachelors | 50.4% |
| Masters | 35.9% |
| Doctorate | 0.8% |
What Am I Worth?
The average annual salary of Business Data Analyst III is $103,653. In case you are finding an easy salary calculator, the average hourly pay of Business Data Analyst III is $50; the average weekly pay of Business Data Analyst III is $1,993; the average monthly pay of Business Data Analyst III is $8,638.
A Business Data Analyst III's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer. According to the latest salary data by Salary.com, a Business Data Analyst III earns the most in San Jose, CA, where the annual salary of a Business Data Analyst III is $130,085.
The highest pay for Business Data Analyst III is $126,909.
The lowest pay for Business Data Analyst III is $80,403.
Supports and contributes to external business analytics projects and processes to provide data-driven insights used to advise the client and develop strategies for operational improvements and future business initiatives. Uses statistical methods, modeling, analytical methodologies, and data analysis to develop and deploy tools including dashboards, infographics, reports, and models to inform and support decision-making. Mines, processes, and analyzes internal and external data using KPIs, business results, industry sources, competitor intelligence, and customer information. Develops a good understanding of the business's model, objectives, issues, and challenges by interacting and collaborating with users and stakeholders. Typically requires a bachelor's degree in finance, statistics or a quantitative field. Typically reports to a manager. Work is generally independent and collaborative in nature. Contributes to moderately complex aspects of a project. Typically requires 4-7 years of related experience.
Specify the abilities and skills that a person needs in order to carry out the specified job duties. 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.
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We offer detailed salary information across multiple percentiles for your reference. (Click here to learn Why the Salary Midpoint Formula Is Crucial for Achieving Pay Equity.)
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