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

Salary details

The average senior-level / expert Business Intelligence Analyst salary lies between USD 100,000 and USD 155,000 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

Salary trend

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

The three most common job tag items assiciated with senior-level / expert Business Intelligence Analyst 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 | 230 jobs SQL | 199 jobs Python | 155 jobs Tableau | 152 jobs Power BI | 128 jobs Statistics | 120 jobs Data analysis | 117 jobs Data visualization | 87 jobs Engineering | 85 jobs Computer Science | 84 jobs Excel | 75 jobs ETL | 74 jobs Finance | 71 jobs R | 70 jobs Research | 63 jobs Data Analytics | 57 jobs Privacy | 55 jobs Mathematics | 51 jobs Data quality | 49 jobs Security | 47 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Business Intelligence Analyst 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 | 131 jobs Health care | 94 jobs Competitive pay | 85 jobs Flex hours | 62 jobs Equity / stock options | 59 jobs Flex vacation | 52 jobs Wellness | 40 jobs Salary bonus | 40 jobs Team events | 38 jobs Insurance | 36 jobs Parental leave | 29 jobs Startup environment | 29 jobs Medical leave | 27 jobs 401(k) matching | 26 jobs Flexible spending account | 13 jobs Fitness / gym | 11 jobs Unlimited paid time off | 9 jobs Snacks / Drinks | 8 jobs Transparency | 6 jobs Relocation support | 6 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Business Intelligence Analyst in AI/ML/Data Science typically includes a combination of a fixed base salary, performance 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%. Performance bonuses can vary significantly depending on the company and industry, usually accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 10% of the total package.

Regional differences can also impact salary composition. For instance, tech hubs like San Francisco, New York, and Seattle may offer higher base salaries and more lucrative stock options due to the competitive job market. Industry-wise, tech and finance sectors tend to offer higher bonuses and stock options compared to other industries. Company size can also play a role; larger companies might offer more comprehensive benefits and bonuses, while smaller companies might compensate with equity options.

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 a higher-paying industry, such as finance or tech, can also result in a salary boost.

Educational Requirements

Most Senior-level Business Intelligence Analyst positions 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, many employers prefer candidates with a master's degree or higher, especially for expert-level roles. Advanced degrees provide a deeper understanding of complex data analysis techniques and machine learning algorithms, which are crucial for this position.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and make you more competitive in the job market. 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 demonstrate your expertise in specific tools and platforms, which can be advantageous during job applications and salary negotiations.

Required Experience

Typically, a Senior-level Business Intelligence Analyst in AI/ML/Data Science is expected to have at least 5 to 10 years of relevant experience. This experience should include a strong background in data analysis, statistical modeling, and machine learning. Experience in leading projects, managing teams, and working with cross-functional teams is also highly valued. Additionally, familiarity with industry-specific data and business processes can be a significant advantage.

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