Business Intelligence Engineer Salary in United States during 2024

Salary details

The average Business Intelligence Engineer salary lies between USD 89,500 and USD 175,000 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: Dec. 22, 2024

Salary trend

Top 20 Job Tags for Business Intelligence Engineer roles

The three most common job tag items assiciated with Business Intelligence Engineer job listings are Business Intelligence, SQL and Python. 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 | 479 jobs SQL | 425 jobs Python | 321 jobs Tableau | 318 jobs Engineering | 292 jobs ETL | 248 jobs Statistics | 223 jobs Data visualization | 207 jobs Computer Science | 198 jobs Power BI | 193 jobs AWS | 185 jobs Pipelines | 184 jobs R | 165 jobs Redshift | 160 jobs QuickSight | 155 jobs Data warehouse | 148 jobs Data analysis | 142 jobs Excel | 131 jobs Data Mining | 126 jobs Security | 126 jobs

Top 20 Job Perks/Benefits for Business Intelligence Engineer roles

The three most common job benefits and perks assiciated with Business Intelligence Engineer job listings are Career development, Health care and Equity / stock options. 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 | 282 jobs Health care | 185 jobs Equity / stock options | 148 jobs Parental leave | 117 jobs Insurance | 112 jobs Competitive pay | 106 jobs Medical leave | 106 jobs Salary bonus | 99 jobs Team events | 96 jobs Flex hours | 94 jobs Flex vacation | 78 jobs Startup environment | 78 jobs Wellness | 62 jobs Gear | 43 jobs 401(k) matching | 38 jobs Conferences | 25 jobs Flexible spending account | 20 jobs Signing bonus | 17 jobs Unlimited paid time off | 11 jobs Fitness / gym | 10 jobs

Salary Composition for Business Intelligence Engineers

The salary for a Business Intelligence Engineer in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, additional remuneration might include stock options or equity, which can be a substantial part of the compensation, especially in startups or large tech companies. In contrast, companies in other regions or industries might offer more traditional benefits like health insurance, retirement plans, and paid time off.

Steps to Increase Salary

To increase your salary from a Business Intelligence Engineer position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI, machine learning, and data science. Mastering new tools and technologies can make you more valuable to your employer.
• Advanced Education: Pursuing a master's degree or specialized certifications can open up higher-paying opportunities.
• Networking: Building a strong professional network can lead to new job opportunities and salary negotiations.
• Performance Excellence: Consistently exceeding performance expectations can lead to promotions and salary increases.
• Industry Transition: Moving to a higher-paying industry, such as finance or tech, can result in a significant salary boost.

Educational Requirements

Most Business Intelligence Engineer positions require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Data Science, or Business Analytics. Some employers may prefer candidates with a master's degree, especially for more senior roles. A strong foundation in mathematics, statistics, and programming is often essential.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise. Some valuable certifications include:

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Data Analyst Associate
• Tableau Desktop Specialist
• AWS Certified Data Analytics – Specialty
• Google Professional Data Engineer

These certifications can help you stand out in the job market and may lead to better job opportunities and higher salaries.

Experience Requirements

Typically, employers look for candidates with 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools, SQL, and data warehousing is often required. For more senior roles, 5-10 years of experience may be necessary, along with leadership or project management experience.

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