Business Intelligence Manager Salary in 2024
π° The median Business Intelligence Manager Salary in 2024 is USD 128,750
βοΈ This salary info is based on 28 individual salaries reported during 2024
Salary details
The average Business Intelligence Manager salary lies between USD 112,500 and USD 168,000 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
- 2024
- Sample size
- 28
- Top 10%
-
- Top 25%
-
- Median
-
- Bottom 25%
-
- Bottom 10%
-
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 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 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, 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 jobsSalary Composition
The salary composition for a Business Intelligence Manager in AI/ML/Data Science typically includes a mix of fixed salary, bonuses, and additional remuneration. The fixed salary forms the bulk of the compensation package, often accounting for 70-80% of the total. Bonuses, which can be performance-based or tied to company profits, usually make up 10-20%. Additional remuneration might include stock options, especially in tech companies, and other benefits like health insurance, retirement plans, and paid time off. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech companies in Silicon Valley might offer higher stock options, while companies in other regions might focus more on cash bonuses.
Next Steps for Salary Increase
To increase your salary further from the position of a Business Intelligence Manager, consider the following strategies:
- Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in a niche area can make you more valuable.
- Leadership Roles: Aim for higher leadership roles such as Director of Business Intelligence or Chief Data Officer, which come with higher pay scales.
- Networking: Build a strong professional network to learn about new opportunities and trends in the industry.
- Industry Switch: Consider moving to industries that pay higher salaries for BI roles, such as finance or tech.
- Negotiation: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.
Educational Requirements
Most Business Intelligence Manager roles require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Data Science, or Business Administration. 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 significantly enhance your prospects and salary potential.
Helpful Certifications
Certifications can bolster your credentials and demonstrate your expertise. Some valuable certifications include:
- Certified Business Intelligence Professional (CBIP)
- Microsoft Certified: Data Analyst Associate
- Tableau Desktop Specialist
- AWS Certified Data Analytics β Specialty
- Google Professional Data Engineer
These certifications can help you stand out in the job market and may lead to better job opportunities and salary increases.
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, such as Tableau, Power BI, or SQL, is often required.
Related salaries
Want to contribute?
π Submit your salary info
Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.
Go to salary surveyπ’ Share our salary survey
Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.
πΎ Download the data
All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.
Go to download pageπ Search for jobs & talent
If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.
Go to frontpageAbout this project
We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.
Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.