Business Intelligence Specialist Salary in United States during 2024

Salary details

The average Business Intelligence Specialist salary lies between USD 85,000 and USD 120,529 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. 10, 2024

Top 20 Job Tags for Business Intelligence Specialist roles

The three most common job tag items assiciated with Business Intelligence Specialist 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 | 75 jobs SQL | 61 jobs Power BI | 54 jobs Python | 43 jobs Tableau | 41 jobs R | 33 jobs Excel | 30 jobs Finance | 26 jobs Data visualization | 26 jobs Engineering | 23 jobs Azure | 22 jobs Data analysis | 22 jobs Computer Science | 21 jobs Testing | 19 jobs ETL | 17 jobs Data Analytics | 15 jobs Databricks | 15 jobs Research | 14 jobs Data governance | 14 jobs Agile | 13 jobs

Top 20 Job Perks/Benefits for Business Intelligence Specialist roles

The three most common job benefits and perks assiciated with Business Intelligence Specialist 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 2024 and the number of open jobs that where offering them during that period:

Career development | 39 jobs Health care | 19 jobs Team events | 18 jobs Flex hours | 14 jobs Flex vacation | 12 jobs Insurance | 10 jobs Startup environment | 9 jobs Equity / stock options | 7 jobs Wellness | 7 jobs Competitive pay | 6 jobs Fitness / gym | 5 jobs Medical leave | 5 jobs Unlimited paid time off | 5 jobs 401(k) matching | 4 jobs Parental leave | 4 jobs Home office stipend | 4 jobs Transparency | 3 jobs Relocation support | 3 jobs Salary bonus | 2 jobs Conferences | 1 jobs

Salary Composition

The salary for a Business Intelligence Specialist in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the largest component, often 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 City 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.

Increasing Salary

To increase your salary from the position of a Business Intelligence Specialist, consider the following steps:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Mastering advanced tools and techniques can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized courses in data science or AI can open up higher-paying opportunities.
• Leadership Roles: Transitioning into managerial or leadership roles can significantly boost your salary.
• Industry Switch: Moving to a higher-paying industry, such as finance or tech, can also increase your earnings.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.

Educational Requirements

Most Business Intelligence Specialist 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. However, a master's degree is often preferred and can provide a competitive edge. Courses in machine learning, data mining, and statistical analysis are particularly beneficial. Some positions may also require knowledge of specific programming languages like Python or R, as well as experience with data visualization tools.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise. Some valuable certifications include:

• Certified Business Intelligence Professional (CBIP): Focuses on BI and analytics skills.
• Microsoft Certified: Azure Data Scientist Associate: Validates skills in using Azure for data science solutions.
• Google Professional Data Engineer: Demonstrates proficiency in designing and building data processing systems.
• AWS Certified Machine Learning – Specialty: Highlights expertise in building, training, and deploying ML models on AWS.

Experience Requirements

Typically, a Business Intelligence Specialist role requires 3-5 years of experience in data analysis, business intelligence, or a related field. Experience with data warehousing, ETL processes, and data visualization tools is often necessary. Familiarity with AI/ML concepts and practical experience in applying these techniques to solve business problems is highly valued.

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