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: Nov. 17, 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 | 3146 jobs SQL | 2412 jobs Power BI | 1681 jobs Tableau | 1591 jobs Python | 1565 jobs Computer Science | 1207 jobs Engineering | 1157 jobs Statistics | 1100 jobs ETL | 1009 jobs Excel | 945 jobs Data analysis | 943 jobs Data visualization | 933 jobs R | 778 jobs Data Analytics | 731 jobs Finance | 725 jobs Security | 611 jobs Data warehouse | 598 jobs Mathematics | 589 jobs Research | 565 jobs Agile | 550 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 | 1744 jobs Health care | 1056 jobs Flex hours | 709 jobs Competitive pay | 702 jobs Equity / stock options | 589 jobs Startup environment | 535 jobs Team events | 525 jobs Insurance | 523 jobs Flex vacation | 482 jobs Parental leave | 450 jobs Salary bonus | 446 jobs Medical leave | 423 jobs Wellness | 381 jobs 401(k) matching | 303 jobs Fitness / gym | 150 jobs Gear | 103 jobs Transparency | 89 jobs Flexible spending account | 85 jobs Relocation support | 77 jobs Home office stipend | 74 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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