Business Intelligence Salary in 2024

Salary details

The average Business Intelligence salary lies between USD 100,000 and USD 182,800 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

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 | 3320 jobs SQL | 2554 jobs Power BI | 1780 jobs Tableau | 1676 jobs Python | 1675 jobs Computer Science | 1292 jobs Engineering | 1235 jobs Statistics | 1179 jobs ETL | 1080 jobs Data analysis | 1011 jobs Excel | 996 jobs Data visualization | 990 jobs R | 830 jobs Data Analytics | 782 jobs Finance | 762 jobs Security | 652 jobs Mathematics | 631 jobs Data warehouse | 629 jobs Research | 600 jobs Agile | 592 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 Competitive pay. 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 | 1860 jobs Health care | 1121 jobs Competitive pay | 747 jobs Flex hours | 738 jobs Equity / stock options | 629 jobs Startup environment | 562 jobs Insurance | 555 jobs Team events | 553 jobs Flex vacation | 507 jobs Salary bonus | 478 jobs Parental leave | 474 jobs Medical leave | 443 jobs Wellness | 401 jobs 401(k) matching | 319 jobs Fitness / gym | 151 jobs Gear | 106 jobs Transparency | 92 jobs Flexible spending account | 87 jobs Relocation support | 80 jobs Unlimited paid time off | 79 jobs

Salary Composition

The salary composition for a Business Intelligence role in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components: base salary, bonus, and additional remuneration such as stock options or benefits.

• Base Salary: This is the fixed component and usually constitutes the majority of the total compensation package. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary tends to be higher to compensate for living expenses. In contrast, regions with a lower cost of living may offer a lower base salary.

• Bonus: Bonuses are often performance-based and can vary widely. In industries like finance or tech, bonuses can be substantial, sometimes making up 10-20% of the total compensation. Company size also plays a role; larger companies may offer more structured and predictable bonuses, while startups might offer equity or stock options instead.

• Additional Remuneration: This includes stock options, profit-sharing, and other benefits like health insurance, retirement plans, and paid time off. Tech companies, especially in Silicon Valley, often provide stock options as a significant part of the compensation package, which can be lucrative if the company performs well.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging technologies and tools in AI/ML and data science. Specializing in niche areas can make you more valuable.

• Advanced Education: Pursuing advanced degrees such as a Master's or Ph.D. in a related field can open up higher-paying opportunities and leadership roles.

• Networking: Building a strong professional network can lead to new opportunities and insights into higher-paying roles. Attend industry conferences, join professional organizations, and engage in online communities.

• Leadership Roles: Aim for leadership or managerial positions, which typically come with higher salaries. Demonstrating strong leadership and project management skills can position you for promotions.

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 engineering. However, many employers prefer candidates with a master's degree or higher, especially for more senior positions. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certifications

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

• Certified Business Intelligence Professional (CBIP): This certification is recognized in the BI industry and covers a range of topics from data analysis to data warehousing.

• Microsoft Certified: Azure Data Scientist Associate: This certification is beneficial if you work with Microsoft's Azure platform.

• Google Professional Data Engineer: This certification is ideal for those working with Google's cloud services.

• AWS Certified Machine Learning – Specialty: This is useful if your role involves working with Amazon Web Services.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools (like Tableau or Power BI), SQL, and programming languages (such as Python or R) is often required. Experience in a specific industry can also be advantageous, as it provides context and understanding of industry-specific challenges and data.

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