Business Intelligence Manager Salary in United States during 2024

Salary details

The average Business Intelligence Manager salary lies between USD 117,000 and USD 187,000 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. 22, 2024

Salary trend

Top 20 Job Tags for Business Intelligence Manager roles

The three most common job tag items assiciated with Business Intelligence Manager 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 | 85 jobs SQL | 62 jobs Power BI | 43 jobs Tableau | 37 jobs Statistics | 32 jobs Engineering | 30 jobs Python | 28 jobs Data visualization | 28 jobs Data Analytics | 26 jobs Excel | 26 jobs Data analysis | 26 jobs Computer Science | 25 jobs ETL | 23 jobs Finance | 21 jobs Data governance | 18 jobs R | 16 jobs Economics | 16 jobs Data quality | 16 jobs Looker | 15 jobs Architecture | 15 jobs

Top 20 Job Perks/Benefits for Business Intelligence Manager roles

The three most common job benefits and perks assiciated with Business Intelligence Manager job listings are Career development, Startup environment and Health care. 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 | 54 jobs Startup environment | 26 jobs Health care | 25 jobs Flex hours | 20 jobs Team events | 20 jobs Competitive pay | 17 jobs Equity / stock options | 15 jobs Flex vacation | 10 jobs 401(k) matching | 9 jobs Parental leave | 9 jobs Wellness | 9 jobs Medical leave | 9 jobs Insurance | 9 jobs Salary bonus | 8 jobs Unlimited paid time off | 4 jobs Conferences | 3 jobs Relocation support | 3 jobs Home office stipend | 3 jobs Transparency | 2 jobs Travel | 1 jobs

Salary Composition

The salary for a Business Intelligence Manager in the AI/ML/Data Science field typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the total salary, depending on individual and company performance. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5-10% of the total package.

Regional differences can also impact salary composition. 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 markets. Industry also plays a role; tech and finance sectors often offer higher compensation packages compared to healthcare or manufacturing. Company size can influence salary as well, with larger companies typically offering more comprehensive benefits and bonuses.

Increasing Salary

To increase your salary from the position of a Business Intelligence Manager, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Mastering new tools and technologies can make you more valuable to your employer.
• Advanced Education: Pursuing an advanced degree, such as an MBA or a specialized master's in data science, can open up higher-paying opportunities.
• Leadership Roles: Aim for leadership positions such as Director of Business Intelligence or Chief Data Officer, which come with higher salaries.
• Industry Transition: Moving to a higher-paying industry, such as tech or finance, can significantly boost your earnings.
• Networking: Building a strong professional network can lead to opportunities for higher-paying roles.

Educational Requirements

Most Business Intelligence Manager positions require at least a bachelor's degree in a related field such as computer science, information systems, or business administration. However, a master's degree in data science, business analytics, or a related field is increasingly preferred, especially for roles that involve AI/ML. An MBA can also be beneficial, particularly for roles that require a strong understanding of business strategy and management.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable certifications for a Business Intelligence Manager include:

• Certified Business Intelligence Professional (CBIP): Offered by TDWI, this certification is highly regarded in the BI field.
• Microsoft Certified: Azure Data Scientist Associate: Useful for those working with Microsoft's data tools.
• Google Professional Data Engineer: Beneficial for roles involving Google's cloud services.
• AWS Certified Data Analytics – Specialty: Ideal for those working with Amazon Web Services.

Experience Requirements

Typically, a Business Intelligence Manager is expected to have 5-10 years of experience in data analysis, business intelligence, or a related field. Experience in managing teams and projects is crucial, as the role often involves leading BI initiatives and collaborating with various departments. Familiarity with AI/ML tools and methodologies is increasingly important, given the growing integration of these technologies in BI processes.

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