Business Intelligence Developer Salary in United States during 2024

Salary details

The average Business Intelligence Developer salary lies between USD 86,000 and USD 140,000 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 Developer roles

The three most common job tag items assiciated with Business Intelligence Developer 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 | 492 jobs SQL | 430 jobs Power BI | 311 jobs ETL | 263 jobs Computer Science | 240 jobs Tableau | 216 jobs Python | 196 jobs Data warehouse | 150 jobs Engineering | 147 jobs Agile | 147 jobs Data visualization | 141 jobs Data analysis | 134 jobs Data Warehousing | 128 jobs Testing | 125 jobs Security | 116 jobs Architecture | 114 jobs SSIS | 108 jobs Excel | 92 jobs Data Analytics | 91 jobs Statistics | 90 jobs

Top 20 Job Perks/Benefits for Business Intelligence Developer roles

The three most common job benefits and perks assiciated with Business Intelligence Developer 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 | 271 jobs Health care | 200 jobs Flex hours | 109 jobs Competitive pay | 108 jobs Insurance | 104 jobs 401(k) matching | 89 jobs Flex vacation | 80 jobs Parental leave | 79 jobs Startup environment | 76 jobs Equity / stock options | 75 jobs Medical leave | 74 jobs Salary bonus | 62 jobs Wellness | 60 jobs Team events | 59 jobs Flexible spending account | 23 jobs Unlimited paid time off | 21 jobs Relocation support | 18 jobs Fitness / gym | 15 jobs Transparency | 15 jobs Gear | 7 jobs

Salary Composition

The salary for a Business Intelligence Developer in the AI/ML/Data Science field typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 5% to 20% of the base salary. Additional remuneration, like stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger companies or those in high-cost living areas, such as New York or San Francisco, the total compensation package might be higher to account for living expenses.

Increasing Salary

To increase your salary from a Business Intelligence Developer position, consider the following steps:

• Skill Enhancement: Acquire advanced skills in AI/ML, data engineering, or data architecture. Specializing in a niche area can make you more valuable.
• Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Advanced Education: Pursue a master's degree or specialized courses in data science or AI to enhance your qualifications.
• Leadership Roles: Aim for leadership or managerial roles, which typically offer higher salaries.

Educational Requirements

Most Business Intelligence Developer roles require at least a bachelor's degree in computer science, information technology, data science, or a related field. Some positions may prefer or require a master's degree, especially in competitive markets or for roles with a strong focus on AI/ML. A solid foundation in mathematics, statistics, and programming is essential.

Helpful Certifications

Certifications can significantly enhance your profile. Some of the most beneficial certifications include:

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

These certifications demonstrate your expertise in specific tools and platforms commonly used in the industry.

Experience Requirements

Typically, employers look for candidates with 2-5 years of experience in business intelligence, data analysis, or a related field. Experience with data visualization tools, SQL, and data warehousing is often required. Familiarity with AI/ML concepts and tools can be a significant advantage, especially for roles that intersect with data science.

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