Business Intelligence Manager Salary in 2023
π° The median Business Intelligence Manager Salary in 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 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.
- Job title
- Business Intelligence Manager
- Experience
- all levels
- Region
- global/worldwide
- 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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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 composition for a Business Intelligence Manager in AI/ML/Data Science typically includes a mix of base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Bonuses can vary significantly depending on the company's performance and individual achievements, often making up 10% to 20% of the total compensation. Additional remuneration, such as stock options, profit-sharing, or other benefits, can account for 5% to 10%.
Regional differences play a significant role in salary composition. For instance, salaries in tech hubs like San Francisco or New York tend to be higher due to the cost of living and demand for talent. Industry also impacts salary; tech and finance sectors often offer higher compensation compared to healthcare or manufacturing. Company size can influence salary as well, with larger companies typically offering more comprehensive compensation packages, including better bonuses and stock options.
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. Specializing in emerging technologies or methodologies can make you more valuable.
- Advanced Education: Pursuing further education, such as a master's degree or MBA, 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: Consider moving to a higher-paying industry or a region with a higher cost of living, where salaries are typically higher.
- Networking: Build a strong professional network to learn about new opportunities and negotiate better compensation packages.
Educational Requirements
Most Business Intelligence Manager roles require at least a bachelor's degree in a related field such as Computer Science, Information Systems, Data Science, or Business Administration. However, a master's degree is often preferred, especially in competitive markets. An MBA with a focus on data analytics or a Masterβs in Data Science can be particularly advantageous.
Helpful Certifications
Certifications can enhance your credentials and demonstrate expertise. Some valuable certifications include:
- Certified Business Intelligence Professional (CBIP)
- Microsoft Certified: Azure Data Scientist Associate
- Google Professional Data Engineer
- SAS Certified Data Scientist
- Tableau Desktop Specialist
These certifications can help you stand out in the job market and may lead to higher salary offers.
Required Experience
Typically, a Business Intelligence Manager is expected to have 5 to 10 years of experience in data analysis, business intelligence, or a related field. Experience in managing teams and projects is crucial, as is a proven track record of using data to drive business decisions. Experience with specific tools and technologies relevant to the industry or company can also be important.
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