Business Intelligence Analyst Salary in 2023
💰 The median Business Intelligence Analyst Salary in 2023 is USD 116,850
✏️ This salary info is based on 78 individual salaries reported during 2023
Salary details
The average Business Intelligence Analyst salary lies between USD 85,000 and USD 145,000 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 Analyst
- Experience
- all levels
- Region
- global/worldwide
- Salary year
- 2023
- Sample size
- 78
- 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 Analyst roles
The three most common job tag items assiciated with Business Intelligence Analyst 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 | 267 jobs SQL | 219 jobs Tableau | 164 jobs Python | 117 jobs Power BI | 114 jobs Statistics | 103 jobs Excel | 99 jobs Data analysis | 86 jobs Data visualization | 85 jobs Computer Science | 81 jobs Data Analytics | 74 jobs Finance | 70 jobs Mathematics | 68 jobs R | 67 jobs Engineering | 65 jobs ETL | 60 jobs Data quality | 57 jobs Looker | 53 jobs Economics | 52 jobs KPIs | 42 jobsTop 20 Job Perks/Benefits for Business Intelligence Analyst roles
The three most common job benefits and perks assiciated with Business Intelligence Analyst job listings are Career development, Health care and Flex hours. 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 | 148 jobs Health care | 93 jobs Flex hours | 78 jobs Competitive pay | 71 jobs Team events | 71 jobs Startup environment | 69 jobs Equity / stock options | 58 jobs Flex vacation | 58 jobs Salary bonus | 46 jobs Insurance | 41 jobs Wellness | 40 jobs Parental leave | 35 jobs Medical leave | 32 jobs Home office stipend | 25 jobs 401(k) matching | 22 jobs Yoga | 15 jobs Fitness / gym | 11 jobs Unlimited paid time off | 10 jobs Signing bonus | 9 jobs Conferences | 9 jobsSalary Composition
The salary composition for a Business Intelligence Analyst in AI/ML/Data Science typically includes a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is often the largest component, accounting for 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 or profit-sharing, is more common in larger tech companies or startups and can add another 5-10% to the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York tend to be higher due to the cost of living and competitive job market. Industry-wise, tech and finance sectors often offer higher compensation compared to healthcare or manufacturing.
Steps to Increase Salary
To increase your salary from the position of a Business Intelligence Analyst, consider the following strategies:
- Skill Enhancement: Continuously update your skills in AI/ML and data science. Learning new programming languages, tools, or frameworks can make you more valuable.
- Advanced Education: Pursuing a master's degree or specialized certifications can open up higher-paying roles.
- Networking: Building a strong professional network can lead to opportunities for higher-paying positions.
- Performance Excellence: Consistently exceeding performance expectations can lead to promotions and salary increases.
- Negotiation: Don't hesitate to negotiate your salary during performance reviews or when taking on new responsibilities.
Educational Requirements
Most Business Intelligence Analyst roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Business Analytics. A master's degree can be advantageous and is often preferred for more senior positions. Courses in mathematics, statistics, and computer programming are particularly beneficial.
Helpful Certifications
Certifications can enhance your credentials and demonstrate expertise. Some valuable certifications include:
- Certified Business Intelligence Professional (CBIP)
- Microsoft Certified: Data Analyst Associate
- Google Data Analytics Professional Certificate
- AWS Certified Data Analytics – Specialty
- IBM Data Science Professional Certificate
These certifications can help you stand out in the job market and may lead to higher salary offers.
Required Experience
Typically, a Business Intelligence Analyst role requires 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools (e.g., Tableau, Power BI), SQL, and programming languages like Python or R is often necessary. Experience in a specific industry can also be beneficial, as it provides context for data analysis.
Related salaries
Want to contribute?
📝 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 survey📢 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.
💾 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 page🚀 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.