Business Intelligence Analyst Salary in United States during 2023

Salary details

The average Business Intelligence Analyst salary lies between USD 96,412 and USD 152,000 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: Nov. 17, 2024

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 jobs

Top 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 jobs

Salary Composition

The salary for a Business Intelligence Analyst in the AI/ML/Data Science field typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses and stock options might be more substantial compared to other areas. Larger companies often offer more comprehensive benefits packages, including health insurance, retirement plans, and professional development opportunities, which can add significant value to the overall compensation.

Increasing Salary

To increase your salary from a Business Intelligence Analyst position, consider pursuing advanced roles such as Senior Business Intelligence Analyst, Data Scientist, or AI/ML Engineer. Gaining expertise in high-demand areas like machine learning, data engineering, or big data analytics can make you more valuable. Additionally, developing leadership skills and taking on managerial responsibilities can lead to higher-paying roles. Networking within the industry and staying updated with the latest trends and technologies can also open up opportunities for career advancement and salary increases.

Educational Requirements

Most Business Intelligence Analyst positions require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Statistics, or Business Administration. Some roles may prefer or require a master's degree, especially in more technical or specialized areas. A strong foundation in mathematics, statistics, and data analysis is crucial, as is proficiency in programming languages like Python or R.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications for Business Intelligence Analysts include:

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Data Analyst Associate
• Tableau Desktop Specialist
• SAS Certified BI Content Developer
• AWS Certified Data Analytics – Specialty

These certifications can help you stand out in the job market and may lead to better job opportunities and higher salaries.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools, SQL, and data warehousing is often required. Demonstrating a track record of using data to drive business decisions and improve processes can be a significant advantage.

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