Business Intelligence Manager Salary in United States during 2023
π° The median Business Intelligence Manager Salary in United States during 2023 is USD 115,000
βοΈ This salary info is based on 6 individual salaries reported during 2023
Salary details
The average Business Intelligence Manager salary lies between USD 104,000 and USD 160,000 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.
- Job title
- Business Intelligence Manager
- Experience
- all levels
- Region
- United States
- Salary year
- 2023
- Sample size
- 6
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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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: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 Tableau. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:
Business Intelligence | 35 jobs SQL | 26 jobs Tableau | 22 jobs Power BI | 15 jobs Excel | 15 jobs Engineering | 13 jobs Statistics | 13 jobs Data visualization | 11 jobs Finance | 10 jobs Python | 9 jobs Salesforce | 9 jobs Looker | 7 jobs Architecture | 7 jobs KPIs | 7 jobs Computer Science | 7 jobs Data quality | 7 jobs AWS | 6 jobs Data Analytics | 6 jobs Consulting | 6 jobs Agile | 6 jobsTop 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, Health care and Team events. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:
Career development | 22 jobs Health care | 13 jobs Team events | 13 jobs Startup environment | 12 jobs Equity / stock options | 11 jobs Parental leave | 11 jobs Flex vacation | 10 jobs Flex hours | 9 jobs Medical leave | 9 jobs Insurance | 9 jobs Wellness | 6 jobs Salary bonus | 5 jobs 401(k) matching | 4 jobs Travel | 3 jobs Gear | 3 jobs Fitness / gym | 3 jobs Competitive pay | 3 jobs Transparency | 3 jobs Home office stipend | 3 jobs Flexible spending account | 3 jobsSalary 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. Bonuses can vary significantly depending on the company's performance and individual achievements, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations, particularly in finance or healthcare, profit-sharing or other incentives might be offered. Regional differences also play a role; for instance, salaries in metropolitan areas like New York or San Francisco tend to be higher due to the cost of living and competitive job markets.
Increasing Salary
To increase your salary from the position of a Business Intelligence Manager, consider the following strategies:
- Skill Enhancement: Acquire advanced skills in AI/ML technologies, data analytics, and business strategy. This can make you more valuable to your current employer or attractive to potential employers.
- Leadership Roles: Aim for higher managerial or executive positions, such as Director of Business Intelligence or Chief Data Officer, which come with increased responsibilities and higher pay.
- Industry Transition: Moving to a higher-paying industry, such as finance or tech, can significantly boost your salary.
- Networking: Build a strong professional network to learn about new opportunities and negotiate better compensation packages.
- Certifications: Obtain relevant certifications that can validate your expertise and justify a salary increase.
Educational Requirements
Most Business Intelligence Manager positions require at least a bachelor's degree in a related field such as Computer Science, Information Systems, Business Administration, or Data Science. However, a master's degree, particularly an MBA with a focus on data analytics or a Masterβs in Data Science, is often preferred and can provide a competitive edge. Advanced degrees demonstrate a deeper understanding of both technical and business aspects, which is crucial for strategic decision-making in this role.
Helpful Certifications
Several certifications can enhance your qualifications for a Business Intelligence Manager role:
- Certified Business Intelligence Professional (CBIP): This certification is highly regarded and covers a broad range of BI topics.
- Microsoft Certified: Data Analyst Associate: Useful if your role involves working with Microsoft Power BI.
- Tableau Desktop Specialist: Beneficial for those using Tableau for data visualization.
- AWS Certified Data Analytics β Specialty: Ideal if your company uses AWS for data solutions.
- Google Data Analytics Professional Certificate: A good option for those looking to strengthen their data analytics skills.
Required Experience
Typically, a Business Intelligence Manager is expected to have 5-10 years of experience in data analysis, business intelligence, or a related field. This experience should include a proven track record of managing BI projects, leading teams, and delivering actionable insights that drive business decisions. Experience with specific BI tools and platforms, as well as a strong understanding of data warehousing and ETL processes, is often required.
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