Business Intelligence Engineer Amazon Salary Revealed

You can expect a strong compensation package as a Business Intelligence Engineer at Amazon in 2025. The average base salary in the United States stands at $101,752 per year, but actual pay varies by level. The table below shows how average salaries increase with each job level:

Job Level	Mean/Avg Salary
Level I	$124,169
Level II	$152,483
Level III	$163,487
Level IV	$179,694

Total compensation, which includes bonuses and stock, ranges from $138,000 for L4 roles up to $224,000 for L6 positions. The following chart highlights the salary progression for business intelligence engineer amazon salary at Amazon:

Bar chart showing average salary for Amazon Business Intelligence Engineers by job level in 2025

Business Intelligence Engineer Amazon Salary Breakdown 2025

Understanding the business intelligence engineer amazon salary in 2025 helps you plan your career and set realistic expectations. Amazon offers a competitive package that includes a base salary, bonuses, and stock options. Each component plays a key role in your total earnings.

Base Salary

You will find that the base salary forms the foundation of your compensation as a Business Intelligence Engineer at Amazon. In 2025, most base salaries range from $88,000 to $128,000 per year. Some positions may offer a slightly lower starting point, with figures beginning at $72,000 and reaching up to $124,000, depending on your experience and location.

Component	Range
Base Salary	$72k - $128k

Amazon sets these salaries based on your job level, technical skills, and the market rate in your region. For example, an L5 Business Intelligence Engineer can expect a salary range between $143,000 and $192,000 or more, according to recent reports. You should also consider that higher levels and specialized skills often command salaries at the upper end of these ranges.

Note: Salary data comes from multiple sources, including Business Insider and industry salary surveys, to ensure you get the most accurate and up-to-date information.

Bonuses and Stock Options

Bonuses and stock options add significant value to your business intelligence engineer amazon salary. Amazon rewards high performance and long-term commitment through these incentives. In 2025, annual bonuses typically range from $5,000 to $41,000. Some roles may also include profit sharing, which can add up to $6,000 to your yearly pay.

Component	Range
Bonus	$5k - $41k
Profit Sharing	$0 - $6k

Stock options, often granted as Restricted Stock Units (RSUs), form a major part of your total compensation. These RSUs vest over several years, encouraging you to stay with the company and contribute to its growth. The value of your stock options depends on Amazon’s share price and your job level. As you move up, your stock grants increase, sometimes making up a large portion of your total earnings.

Total Compensation

When you add up your base salary, bonuses, and stock options, you get your total compensation. For a Business Intelligence Engineer at Amazon in 2025, total pay usually falls between $94,000 and $149,000 for most roles. For higher levels, such as L5 and above, total compensation can reach $192,000 or more.

Component	Range
Total Pay	$73k - $149k

You should remember that total compensation varies by location, experience, and performance. Amazon’s pay structure rewards both technical expertise and business impact. If you aim for higher levels or specialize in in-demand skills, you can expect your business intelligence engineer amazon salary to grow even further.

Business Intelligence Engineer Amazon Salary by Experience Level

Understanding how your experience level affects your business intelligence engineer amazon salary at Amazon can help you plan your career path. Amazon uses a structured leveling system, and each level comes with its own set of expectations and compensation.

Entry-Level (L4)

As an entry-level Business Intelligence Engineer (L4), you start your journey at Amazon with a focus on learning and growth. Your salary typically begins at $74,100 per year. You will work on essential tasks that build your foundation in data analysis and reporting.

Responsibility	Description
Data Analysis and Interpretation	Analyzing large datasets, identifying trends, and extracting insights for business decisions.
Report Development and Visualization	Creating reports and dashboards to present critical information effectively.
Business Process Optimization	Utilizing data analytics to improve and streamline business processes.
Forecasting and Predictive Modeling	Developing forecasting models to anticipate future trends and market dynamics.
Collaboration with Cross-functional Teams	Working with diverse teams to align data strategies with business objectives.

You will often collaborate with other teams and learn how to turn raw data into actionable insights. Your work supports business decisions and helps Amazon maintain its competitive edge.

Mid-Level (L5)

When you reach the mid-level (L5), your business intelligence engineer amazon salary increases as your responsibilities grow. Salaries for experienced roles can reach up to $165,600. At this stage, you take on more complex projects and may lead small teams. You will design advanced dashboards, develop predictive models, and optimize business processes. Your ability to communicate findings and drive business outcomes becomes more important. You also mentor junior engineers and contribute to strategic planning.

Senior-Level (L6)

At the senior level (L6), you become a key player in Amazon’s data-driven culture. Your compensation reflects your expertise and leadership. Senior Business Intelligence Engineers often manage large projects and influence company-wide strategies. You will oversee data architecture, ensure data quality, and guide cross-functional teams. Your insights help shape Amazon’s future direction. Senior engineers also play a role in training and developing the next generation of BI professionals.

Experience Level	Salary Range
Entry-Level	$74,100
Experienced Roles	Up to $165,600

Note: Your salary depends on your experience, skills, and the impact you make. As you advance, your earning potential grows along with your responsibilities.

Business Intelligence Engineer Amazon Salary by Location

Seattle

Seattle remains a major hub for Amazon’s technology teams. If you work as a Business Intelligence Engineer in Seattle, you will likely see salaries that are higher than the national average. However, the cost of living in Seattle is also much higher than in many other cities. Housing prices and daily expenses can take a significant portion of your income. Even though your paycheck may look impressive, the high cost of living can reduce the real value of your earnings. You should consider this when evaluating job offers in Seattle.

New York

New York offers some of the highest salaries for Business Intelligence Engineers at Amazon in 2025. You can expect:

Average salary range: $162,000 to $173,000 per year
Median total compensation: $169,000 per year

These figures reflect the competitive market in New York. The city’s fast-paced business environment and high demand for data professionals drive salaries upward. You will find that your compensation matches the cost of living and the expectations of working in a global financial center.

Remote and Other Regions

Many Business Intelligence Engineers now work remotely or in regions outside major tech hubs. If you choose a remote role or live in a smaller city, your salary may be lower than in Seattle or New York. However, your cost of living will also be much lower. This means you can often keep more of your earnings. Amazon adjusts pay based on location, so you should research local salary ranges before making a decision. The business intelligence engineer amazon salary in these regions can still offer a strong standard of living, especially if you value flexibility and work-life balance.

Year-over-Year Salary Comparison

2023 vs. 2024 vs. 2025

You may wonder how the business intelligence engineer amazon salary has changed over the past three years. Understanding these trends helps you make better career decisions and negotiate your compensation with confidence.

Let’s look at the numbers:

Year	Average Base Salary	Total Compensation (Median)
2023	$95,000	$135,000
2024	$98,500	$142,000
2025	$101,752	$146,000

You can see a steady increase in both base salary and total compensation each year. In 2023, the average base salary started at $95,000. By 2024, it rose to $98,500. In 2025, it reached $101,752. Total compensation, which includes bonuses and stock, followed a similar pattern.

Note: These figures reflect national averages. Your actual pay may differ based on your experience, location, and job level.

Several factors drive these increases. The demand for skilled business intelligence engineers continues to grow. Companies like Amazon compete for top talent by offering higher salaries and better benefits. Inflation and the rising cost of living also play a role. You benefit from these trends if you keep your skills up to date and stay aware of market changes.

If you plan to join Amazon or negotiate your next raise, use this data as a benchmark. Staying informed about year-over-year changes gives you an advantage in your career planning.

Tools for BI Professionals: FineBI and Career Growth

How FineBI Empowers Business Intelligence Engineers

When you look at the business intelligence engineer amazon salary, you see that companies value professionals who can turn data into insights. To reach higher salary levels, you need to master tools that make your work faster and more effective. FineBI stands out as a platform that helps you achieve this goal.

FineBI gives you the power to work independently. You do not have to wait for IT support to analyze data or build reports. With its self-service analytics, you can explore data on your own. This skill is important if you want to move up the business intelligence engineer amazon salary ladder. FineBI also lets you create interactive dashboards. These dashboards help you present your findings in a way that others can understand quickly.

dashbord supply chain.jpg — Supply Chain Dashboard by **FineBI**

Learn More About FineBI

Here are some key features of FineBI that support your work as a business intelligence engineer:

Feature	Description
Self-Service Analytics	Perform your own analysis using a drag-and-drop interface.
Interactive Dashboards	Build dashboards for dynamic data exploration and deeper insights.
Data Visualization	Use a variety of charts and graphs to communicate your findings.
Real-Time Data Analysis	Analyze data as it is generated, so you can respond quickly to business changes.

Leveraging FineBI for Data Analysis and Visualization

You can use FineBI to connect to many data sources, including databases, cloud warehouses, and spreadsheets. This flexibility means you can bring all your data together in one place. When you prepare and process data in FineBI, you clean and organize it for analysis. You can join tables, create new metrics, and filter out unnecessary information.

integrasi data.gif — **FineBI's** Data integration Feature

FineBI’s drag-and-drop dashboard builder makes it easy to turn raw data into clear visualizations. You can choose from many chart types to show trends, compare results, or highlight key metrics. Real-time filtering lets you adjust your view instantly, helping you spot patterns or issues as they happen.

fitur drag and drop.gif — **FineBI's** Drag and Drop Feature

If you want to increase your business intelligence engineer amazon salary, you need to show that you can deliver insights quickly and clearly. FineBI helps you do this by making data analysis and visualization simple and powerful. With these skills, you become a more valuable member of any BI team.

You can see that the 2025 business intelligence engineer amazon salary remains highly competitive. Salaries change based on your experience and where you work. If you understand these trends, you can make smarter career choices. Tools like FineBI help you build strong data skills. You gain an advantage in your role and support your growth as a BI professional.

Stay informed and keep learning to maximize your earning potential.