Salary for Mid-level / Intermediate Business Intelligence Analyst in United States during 2024

Salary details

The average mid-level / intermediate Business Intelligence Analyst salary lies between USD 85,000 and USD 135,000 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 Mid-level / Intermediate Business Intelligence Analyst roles

The three most common job tag items assiciated with mid-level / intermediate Business Intelligence Analyst 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 | 144 jobs SQL | 122 jobs Power BI | 89 jobs Python | 84 jobs Tableau | 78 jobs Statistics | 73 jobs Data analysis | 59 jobs Engineering | 55 jobs Computer Science | 50 jobs R | 48 jobs Excel | 48 jobs Mathematics | 45 jobs Data visualization | 44 jobs Finance | 42 jobs Data Analytics | 39 jobs Security | 36 jobs ETL | 33 jobs Looker | 31 jobs Research | 31 jobs Data quality | 29 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Business Intelligence Analyst roles

The three most common job benefits and perks assiciated with mid-level / intermediate Business Intelligence Analyst job listings are Career development, Health care and Competitive pay. 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 | 84 jobs Health care | 53 jobs Competitive pay | 40 jobs Flex hours | 30 jobs Team events | 28 jobs Insurance | 28 jobs Startup environment | 25 jobs Salary bonus | 22 jobs Flex vacation | 21 jobs 401(k) matching | 20 jobs Parental leave | 18 jobs Equity / stock options | 16 jobs Medical leave | 16 jobs Wellness | 15 jobs Unlimited paid time off | 10 jobs Fitness / gym | 8 jobs Conferences | 8 jobs Gear | 7 jobs Home office stipend | 7 jobs Snacks / Drinks | 6 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate Business Intelligence Analyst in AI/ML/Data Science typically includes a base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements. Additional remuneration, like stock options, is more common in tech companies, especially startups or large tech firms, and can be a significant part of the compensation in regions like Silicon Valley. In contrast, companies in other regions or industries might offer less in terms of stock options but could provide other benefits like health insurance, retirement plans, or educational reimbursements.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in AI/ML and data science. Specializing in emerging technologies or tools can make you more valuable.
• Advanced Education: Pursuing a master's degree or a Ph.D. in a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into managerial or leadership roles can significantly boost your salary.
• Industry Change: Some industries, like finance or tech, tend to offer higher salaries for similar roles compared to others.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.

Educational Requirements

Most mid-level Business Intelligence Analysts in AI/ML/Data Science roles hold at least a bachelor's degree in fields such as Computer Science, Data Science, Statistics, Mathematics, or a related discipline. A master's degree is often preferred and can be a significant advantage, especially for roles that require a deeper understanding of machine learning algorithms and data analysis techniques.

Helpful Certifications

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

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can help you stand out in the job market and may lead to higher salary offers.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in business intelligence, data analysis, or a related field. Experience with data visualization tools (like Tableau or Power BI), SQL, and programming languages (such as Python or R) is often essential. Experience in AI/ML projects, even if not extensive, can be a significant advantage.

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