As of April 01, 2025, the average annual salary for a Business Intelligence (BI) Analyst I in the United States is $67,820. Salary.com reports that pay typically ranges from $61,470 to $74,220, with most professionals earning between $55,689 and $80,047.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $74,220 | $6,185 | $1,427 | $36 |
| Average | $67,820 | $5,652 | $1,304 | $33 |
| 25th Percentile | $61,470 | $5,123 | $1,182 | $30 |
An entry-level Business Intelligence (BI) Analyst I with less than 1 year of experience earns about $67,346. With 1-2 years of experience, the average salary increases to $68,011. For 2-4 years of experience, the pay typically rises to $69,444. Senior-level professionals with 5-8 years of experience earn around $69,730, and those with over 8 years of experience can expect an average of $69,921.
| Levels | Salary |
|---|---|
| Entry Level Business Intelligence (BI) Analyst I | $67,346 |
| Intermediate Level Business Intelligence (BI) Analyst I | $68,011 |
| Senior Level Business Intelligence (BI) Analyst I | $69,444 |
| Specialist Level Business Intelligence (BI) Analyst I | $69,730 |
| Expert Level Business Intelligence (BI) Analyst I | $69,921 |
| Entry Level | 1% |
| Mid Level | 0% |
| Senior Level | 2% |
| Top Level | 3% |
| Experienced | 3% |
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 April 01, 2025, our research reveals a significant shift in Business Intelligence (BI) Analyst I compensation over the past six years. For example, the median salary increased from $68,589 in 2023 to approximately $69,046 in 2024. (For a detailed analysis of Business Intelligence (BI) Analyst I 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 Intelligence (BI) Analyst I information for you to search for. Click on search button below to see Business Intelligence (BI) Analyst I job openings or enter a new job title here.
Here are companies hiring for Business Intelligence (BI) Analyst I and their salaries, click below for more details.
| Core Compensation | ||||
| Core Compensation | Median | % of Total | ||
| Base Salary | $67,820 | 69.5% | ||
| Bonus | $0 | 0.0% | ||
| Value of Benefits | ||||
| Core Compensation | Median | % of Total | ||
| Social Security | $5,188 | 5.3% | ||
| 401K/403B | $2,848 | 2.9% | ||
| Disability | $1,356 | 1.4% | ||
| Healthcare | $8,352 | 8.6% | ||
| Pension | $3,662 | 3.8% | ||
| Time Off | $8,347 | 8.6% | ||
| Total Compensation | $97,575 | 100% | ||
The average annual salary of Business Intelligence (BI) Analyst I is $67,820. In case you are finding an easy salary calculator, the average hourly pay of Business Intelligence (BI) Analyst I is $33; the average weekly pay of Business Intelligence (BI) Analyst I is $1,304; the average monthly pay of Business Intelligence (BI) Analyst I is $5,652.
A Business Intelligence (BI) Analyst I'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 Intelligence (BI) Analyst I earns the most in San Jose, CA, where the annual salary of a Business Intelligence (BI) Analyst I is $85,540.
The highest pay for Business Intelligence (BI) Analyst I is $80,047.
The lowest pay for Business Intelligence (BI) Analyst I is $55,689.
The Business Intelligence (BI) Analyst I uses querying languages like SQL, scripting languages like R or Python, and other tools like Tableau or Excel to produce reports and perform meaningful quantitative or qualitative analyses addressing impactful business issues or questions. Creates reports, visualizations, dashboards, and metrics that provide business insight and aid business decision-making. Being a Business Intelligence (BI) Analyst I collaborates with project stakeholders to better understand valuable objectives and KPIs and to design relevant reports and dashboards. Combines these reports with subject-matter expertise to deliver coherent, insightful takeaways and advice. In addition, Business Intelligence (BI) Analyst I requires a bachelor's degree. Typically reports to a supervisor or manager. Being a Business Intelligence (BI) Analyst I work is closely managed. Works on projects/matters of limited complexity in a support role. Working as a Business Intelligence (BI) Analyst I 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.
Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
SQL Server: Applying SQL server to store and retrieves information or data.
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