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: Nov. 24, 2024

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 Tableau. 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 | 1188 jobs SQL | 972 jobs Tableau | 622 jobs Python | 618 jobs Power BI | 600 jobs Engineering | 492 jobs Computer Science | 482 jobs ETL | 458 jobs Statistics | 430 jobs Data analysis | 389 jobs Data visualization | 372 jobs Finance | 322 jobs R | 286 jobs Data warehouse | 280 jobs Excel | 276 jobs Data Analytics | 272 jobs Architecture | 263 jobs Security | 262 jobs Data Warehousing | 252 jobs Agile | 250 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 | 706 jobs Health care | 470 jobs Competitive pay | 292 jobs Equity / stock options | 280 jobs Flex hours | 271 jobs Insurance | 240 jobs Parental leave | 215 jobs Team events | 215 jobs Flex vacation | 203 jobs Salary bonus | 200 jobs Medical leave | 199 jobs Startup environment | 191 jobs Wellness | 173 jobs 401(k) matching | 136 jobs Gear | 46 jobs Flexible spending account | 41 jobs Fitness / gym | 33 jobs Transparency | 33 jobs Home office stipend | 33 jobs Conferences | 29 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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