Business Intelligence Salary in United States during 2024

Salary details

The average Business Intelligence salary lies between USD 104,280 and USD 185,000 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Jan. 19, 2025

Top 20 Job Tags for Business Intelligence roles

The three most common job tag items assiciated with Business Intelligence job listings are Business Intelligence, SQL and Power BI. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Business Intelligence | 3372 jobs SQL | 2598 jobs Power BI | 1816 jobs Tableau | 1708 jobs Python | 1707 jobs Computer Science | 1330 jobs Engineering | 1251 jobs Statistics | 1199 jobs ETL | 1109 jobs Data analysis | 1042 jobs Excel | 1010 jobs Data visualization | 1004 jobs R | 845 jobs Data Analytics | 793 jobs Finance | 772 jobs Security | 665 jobs Data warehouse | 641 jobs Mathematics | 637 jobs Research | 605 jobs Agile | 594 jobs

Top 20 Job Perks/Benefits for Business Intelligence roles

The three most common job benefits and perks assiciated with Business Intelligence job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 1893 jobs Health care | 1138 jobs Flex hours | 756 jobs Competitive pay | 754 jobs Equity / stock options | 649 jobs Startup environment | 569 jobs Insurance | 568 jobs Team events | 566 jobs Flex vacation | 521 jobs Salary bonus | 497 jobs Parental leave | 483 jobs Medical leave | 454 jobs Wellness | 403 jobs 401(k) matching | 327 jobs Fitness / gym | 151 jobs Gear | 106 jobs Transparency | 96 jobs Flexible spending account | 90 jobs Relocation support | 83 jobs Unlimited paid time off | 81 jobs

Salary Composition

In the United States, the salary composition for a Business Intelligence role in AI/ML/Data Science typically includes a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, usually accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 10% of the package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market. Larger companies may offer more comprehensive benefits and bonuses, while smaller companies might provide more equity-based compensation.

Increasing Salary

To increase your salary further from a Business Intelligence position, consider pursuing advanced roles such as Senior Data Scientist, AI/ML Manager, or Director of Data Science. These positions typically require a combination of technical expertise, leadership skills, and strategic vision. Enhancing your skill set with specialized knowledge in emerging AI/ML technologies or gaining expertise in a high-demand industry can also be beneficial. Networking within the industry, attending conferences, and contributing to open-source projects can increase your visibility and open up new opportunities. Additionally, pursuing further education, such as a master's degree or an MBA with a focus on data analytics, can provide a competitive edge.

Educational Requirements

Most Business Intelligence roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Mathematics. However, a master's degree is often preferred, especially for more advanced positions. Degrees in Business Administration with a focus on analytics or information systems can also be relevant. The educational background should provide a strong foundation in data analysis, statistical methods, and programming languages commonly used in the field, such as Python or R.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate expertise in specific areas. Some common and helpful certifications include:

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills and knowledge, making you a more attractive candidate to potential employers.

Required Experience

Typically, a Business Intelligence role in AI/ML/Data Science requires 3 to 5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools like Tableau or Power BI, as well as proficiency in SQL and data warehousing, is often expected. For more senior positions, experience in leading projects, managing teams, or developing data-driven strategies is crucial. Demonstrating a track record of successful projects and the ability to translate complex data into actionable insights is highly valued.

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