Business Intelligence Analyst Salary in United States during 2024

Salary details

The average Business Intelligence Analyst salary lies between USD 85,000 and USD 142,500 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: Dec. 15, 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 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 | 788 jobs SQL | 644 jobs Power BI | 461 jobs Python | 457 jobs Tableau | 437 jobs Statistics | 383 jobs Data analysis | 321 jobs Excel | 289 jobs Engineering | 261 jobs Computer Science | 259 jobs Data visualization | 244 jobs R | 230 jobs Data Analytics | 193 jobs Finance | 190 jobs Research | 189 jobs Mathematics | 185 jobs ETL | 177 jobs Security | 157 jobs Data quality | 130 jobs Privacy | 129 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 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 | 425 jobs Health care | 286 jobs Competitive pay | 232 jobs Flex hours | 206 jobs Equity / stock options | 158 jobs Flex vacation | 136 jobs Salary bonus | 128 jobs Insurance | 124 jobs Team events | 119 jobs Startup environment | 113 jobs Parental leave | 98 jobs Wellness | 91 jobs Medical leave | 84 jobs 401(k) matching | 75 jobs Fitness / gym | 40 jobs Relocation support | 31 jobs Flexible spending account | 25 jobs Unlimited paid time off | 24 jobs Transparency | 23 jobs Home office stipend | 21 jobs

Salary Composition

The salary for a Business Intelligence Analyst in the AI/ML/Data Science field typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually forms the bulk of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements. Additional remuneration might include benefits like health insurance, retirement plans, and sometimes equity in the company, especially in tech startups or larger tech firms.

Regional differences can also impact salary composition. For instance, salaries in tech hubs like San Francisco or New York City might be higher due to the cost of living and demand for skilled professionals. Industry also plays a role; tech companies might offer more competitive packages compared to traditional industries. Similarly, larger companies might provide more comprehensive benefits and bonuses compared to smaller firms.

Steps to Increase Salary

To increase your salary from a Business Intelligence Analyst position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in AI/ML and data science. Proficiency in advanced analytics, machine learning algorithms, and data visualization tools 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.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn. Networking can lead to new job opportunities or promotions.
• Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field.
• Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your capabilities and leadership potential.

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. Some positions may prefer or require a master's degree, especially for more advanced roles. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for data analysis and model development.

Helpful Certifications

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

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Data Analyst Associate
• Google Data Analytics Professional Certificate
• IBM Data Science Professional Certificate
• AWS Certified Data Analytics – Specialty

These certifications can provide you with a competitive edge and validate your skills in data analysis, visualization, and business intelligence tools.

Experience Requirements

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 (such as Tableau or 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 and understanding of industry-specific data and trends.

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