As of April 01, 2025, the average hourly pay of Entry Data Analyst in the United States is $35. While Salary.com is seeing that Entry Data Analyst salary in the US can go up to $42 or down to $29, but most earn between $32 and $39. Salary.com shows the average base salary (core compensation), as well as the average total cash compensation for the job of Entry Data Analyst in the United States.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $39 | $3 | $1 | $0 |
| Average | $35 | $3 | $1 | $0 |
| 25th Percentile | $32 | $3 | $1 | $0 |
As of April 01, 2025, Salary.com is seeing that an entry-level Entry Data Analyst with under 1 year experience makes about $73,071. With less than 2 years of experience, a mid-level Entry Data Analyst makes around $73,822. After 2-4 years, the Entry Data Analyst pay rises to about $75,479. Those senior Entry Data Analyst with 5-8 years of experience earn roughly $75,810, and those Entry Data Analyst having 8 years or more experience is expected to earn about $76,031 on average.
| Levels | Salary |
|---|---|
| Entry Level Entry Data Analyst | $73,071 |
| Intermediate Level Entry Data Analyst | $73,822 |
| Senior Level Entry Data Analyst | $75,479 |
| Specialist Level Entry Data Analyst | $75,810 |
| Expert Level Entry Data Analyst | $76,031 |
| Entry Level | 1% |
| Mid Level | 0% |
| Senior Level | 3% |
| Top Level | 3% |
| Experienced | 3% |
Salaries in the United States can vary significantly from state to state due to a multitude of factors, including cost of living, local economic conditions, and industry presence.
For example, as of April 01, 2025, the average yearly salary of Entry Data Analyst is $81,101 in California and in Massachusetts, the average annual salary goes to $80,001. While in New Jersey, an Entry Data Analyst earns $79,601 per year.
What Am I Worth?
Salaries in the United States can vary significantly from city to city due to a multitude of factors, including cost of living, local economic conditions, and industry presence.
For example, as of April 01, 2025, the average yearly salary of Entry Data Analyst in San Francisco, CA is $91,801 and in New York, NY, the average annual salary goes to $85,201. While an Entry Data Analyst earns $82,001 per year in Boston, MA.
For those exploring the changing dynamics of Entry Data Analyst salaries, Salary.com offers detailed insights through our Job Trending in CA Labor Market analysis. As of April 01, 2025, our research highlights a notable shift in Entry Data Analyst compensation over the past six years. For instance, the median salary has moved from $69,212 in 2023 to about $69,330 in 2024 (for a comprehensive analysis of Entry Data Analyst salary trends, click here). It's crucial to consider several elements, including geographical location, experience level, industry demand, and economic development, as they play a significant role in influencing salary variations.
Salary.com job board provides millions of Entry Data Analyst information for you to search for. Click on search button below to see Entry Data Analyst job openings or enter a new job title here.
Here are companies hiring for Entry Data Analyst and their salaries, click below for more details.
| Core Compensation | ||||
| Core Compensation | Median | % of Total | ||
| Base Salary | $73,501 | 70.0% | ||
| Bonus | $0 | 0.0% | ||
| Value of Benefits | ||||
| Core Compensation | Median | % of Total | ||
| Social Security | $5,623 | 5.4% | ||
| 401K/403B | $3,087 | 2.9% | ||
| Disability | $1,470 | 1.4% | ||
| Healthcare | $8,352 | 8.0% | ||
| Pension | $3,969 | 3.8% | ||
| Time Off | $9,046 | 8.6% | ||
| Total Compensation | $105,048 | 100% | ||
| Degree Level | % of user with this level of education |
|---|---|
| No Diploma | 1.7% |
| High School | 5.0% |
| Associates | 3.8% |
| Bachelors | 62.4% |
| Masters | 26.0% |
| Doctorate | 1.2% |
What Am I Worth?
The Entry Data Analyst researches best practices and supports developing the solutions and recommendations for the current business operations. Performs routine business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. Being an Entry Data Analyst may provide business data interpretation. May work with the internal or external client to identify analytical requirements. In addition, Entry Data Analyst may help to produce ad hoc data and reports. May assist in developing or implementing systems to capture business operation information. Requires a bachelor's degree. Typically reports to a supervisor or manager. Being an Entry Data Analyst works on projects/matters of limited complexity in a support role. Work is closely managed. Working as an Entry Data Analyst typically requires 0-2 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.
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.
