Salary for Senior-level / Expert Business Intelligence during 2024

Salary details

The average senior-level / expert Business Intelligence salary lies between USD 105,000 and USD 181,000 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: Jan. 19, 2025

Top 20 Job Tags for Senior-level / Expert Business Intelligence roles

The three most common job tag items assiciated with senior-level / expert Business Intelligence 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 | 1248 jobs SQL | 1025 jobs Python | 662 jobs Tableau | 662 jobs Power BI | 636 jobs Computer Science | 521 jobs Engineering | 520 jobs ETL | 483 jobs Statistics | 462 jobs Data analysis | 415 jobs Data visualization | 395 jobs Finance | 338 jobs R | 301 jobs Data warehouse | 293 jobs Data Analytics | 286 jobs Excel | 286 jobs Architecture | 274 jobs Security | 273 jobs Data Warehousing | 268 jobs AWS | 259 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Business Intelligence roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 742 jobs Health care | 489 jobs Competitive pay | 302 jobs Equity / stock options | 293 jobs Flex hours | 283 jobs Insurance | 256 jobs Parental leave | 226 jobs Team events | 224 jobs Salary bonus | 221 jobs Flex vacation | 215 jobs Medical leave | 212 jobs Startup environment | 200 jobs Wellness | 179 jobs 401(k) matching | 141 jobs Gear | 49 jobs Flexible spending account | 41 jobs Transparency | 36 jobs Fitness / gym | 33 jobs Home office stipend | 33 jobs Unlimited paid time off | 31 jobs

Salary Composition

The salary for a Senior-level/Expert Business Intelligence role in AI/ML/Data Science typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with other benefits. Industries such as finance or healthcare may offer higher bonuses due to the critical nature of data insights in these fields. Larger companies often provide more comprehensive benefits and stock options, while smaller startups might offer equity as a significant part of the package to attract top talent.

Increasing Salary

To increase your salary further from this position, consider pursuing leadership roles such as a Director of Data Science or Chief Data Officer. These roles often come with higher compensation and greater responsibilities. Additionally, specializing in a niche area of AI/ML, such as natural language processing or computer vision, can make you more valuable. Networking within industry circles and attending conferences can also open up opportunities for higher-paying roles. Continuous learning and staying updated with the latest technologies and methodologies in AI/ML can position you as an expert, making you more attractive to employers willing to pay a premium for top talent.

Educational Requirements

Most Senior-level/Expert 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 or Ph.D. is often preferred, especially for roles that demand a deep understanding of complex algorithms and data structures. Advanced degrees can provide a competitive edge and are sometimes necessary for roles in research-intensive industries or academia.

Helpful Certifications

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

• Certified Analytics Professional (CAP)
• 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 in specific tools and platforms, making you more versatile and attractive to employers.

Required Experience

Typically, a Senior-level/Expert Business Intelligence role requires at least 5-10 years of experience in data analysis, business intelligence, or a related field. Experience in managing teams, leading projects, and developing data-driven strategies is often essential. Familiarity with AI/ML tools and frameworks, as well as experience in deploying machine learning models in production environments, is highly valued. Demonstrated success in using data to drive business decisions and improve processes is crucial.

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