Salary for Senior-level / Expert Business Intelligence Specialist in United States during 2024

Salary details

The average senior-level / expert Business Intelligence Specialist salary lies between USD 95,264 and USD 155,376 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. 15, 2024

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

The three most common job tag items assiciated with senior-level / expert Business Intelligence Specialist 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 | 19 jobs SQL | 14 jobs Python | 10 jobs Tableau | 9 jobs Power BI | 9 jobs Excel | 8 jobs Data visualization | 7 jobs Research | 6 jobs Engineering | 6 jobs Testing | 6 jobs Agile | 6 jobs Computer Science | 6 jobs R | 5 jobs Machine Learning | 5 jobs Data Warehousing | 5 jobs Finance | 5 jobs Data analysis | 5 jobs ETL | 4 jobs Architecture | 4 jobs Azure | 4 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Business Intelligence Specialist job listings are Career development, Health care and Team events. 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 | 15 jobs Health care | 7 jobs Team events | 7 jobs Insurance | 6 jobs Startup environment | 5 jobs Wellness | 4 jobs Competitive pay | 4 jobs 401(k) matching | 3 jobs Flex hours | 3 jobs Equity / stock options | 2 jobs Parental leave | 2 jobs Flex vacation | 2 jobs Medical leave | 2 jobs Fitness / gym | 1 jobs Conferences | 1 jobs Relocation support | 1 jobs Salary bonus | 1 jobs Fertility benefits | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Business Intelligence Specialist in AI/ML/Data Science typically includes a combination of a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Bonuses can vary significantly depending on the company and industry, often accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 10% of the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market. Similarly, larger companies may offer more comprehensive compensation packages compared to smaller firms.

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 AI/ML technologies and tools. Specializing in niche areas can make you more valuable.
• Advanced Education: Pursuing advanced degrees such as a Master's or Ph.D. in Data Science, AI, or a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into managerial or leadership roles within your organization can lead to significant salary increases.
• Networking: Building a strong professional network can lead to new opportunities and insights into higher-paying roles.
• Industry Transition: Moving to industries with higher pay scales, such as finance or healthcare, can also result in salary growth.

Educational Requirements

Most Senior-level Business Intelligence Specialists in AI/ML/Data Science hold at least a Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. However, a Master's degree is often preferred and can be a significant advantage. Some roles may even require a Ph.D., especially in research-intensive positions or at top-tier companies.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise. Some common and beneficial 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 and knowledge, making you more competitive in the job market.

Experience Requirements

Typically, a Senior-level Business Intelligence Specialist is expected to have at least 5 to 10 years of relevant experience. This experience should include a strong background in data analysis, business intelligence tools, and AI/ML technologies. Experience in leading projects, managing teams, and working with cross-functional teams is also highly valued.

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