Business Intelligence Analyst Salary in 2024

Salary details

The average Business Intelligence Analyst salary lies between USD 80,000 and USD 138,995 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Jan. 12, 2025

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 | 793 jobs SQL | 649 jobs Power BI | 465 jobs Python | 461 jobs Tableau | 442 jobs Statistics | 387 jobs Data analysis | 322 jobs Excel | 290 jobs Engineering | 262 jobs Computer Science | 261 jobs Data visualization | 245 jobs R | 231 jobs Finance | 194 jobs Data Analytics | 191 jobs Research | 188 jobs Mathematics | 186 jobs ETL | 176 jobs Security | 156 jobs Privacy | 130 jobs Data quality | 128 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 | 429 jobs Health care | 285 jobs Competitive pay | 231 jobs Flex hours | 209 jobs Equity / stock options | 160 jobs Flex vacation | 139 jobs Salary bonus | 131 jobs Insurance | 125 jobs Team events | 122 jobs Startup environment | 114 jobs Parental leave | 98 jobs Wellness | 90 jobs Medical leave | 85 jobs 401(k) matching | 76 jobs Fitness / gym | 40 jobs Relocation support | 32 jobs Flexible spending account | 25 jobs Unlimited paid time off | 25 jobs Transparency | 23 jobs Home office stipend | 21 jobs

Salary Composition

The salary for a Business Intelligence Analyst in AI/ML/Data Science 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. Performance bonuses are often tied to individual or company performance metrics and can vary significantly. Additional remuneration might include stock options, especially in tech companies or startups, and other benefits like health insurance, retirement contributions, and paid time off.

Regional differences can affect salary composition, with tech hubs like Silicon Valley or New York City offering higher base salaries and more lucrative stock options. Industry also plays a role; for instance, finance and tech industries tend to offer higher compensation packages compared to healthcare or education. Company size can influence salary as well, with larger companies often providing more comprehensive benefits and bonuses.

Increasing Salary

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

• Skill Enhancement: Acquire advanced skills in AI/ML, data engineering, or data architecture. Proficiency in programming languages like Python or R, and tools like TensorFlow or PyTorch, can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications in data science or AI can open up higher-paying roles.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
• Leadership Roles: Transitioning into managerial or leadership positions can significantly increase your earning potential.
• Industry Shift: Moving to a higher-paying industry, such as finance or tech, can also boost your salary.

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 strong foundation in mathematics and statistics is often essential. Some positions may prefer or require a master's degree, especially for roles involving complex data modeling or machine learning.

Helpful Certifications

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

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• IBM Data Science Professional Certificate
• AWS Certified Machine Learning – Specialty

These certifications can validate your skills and make you more competitive in the job market.

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 (e.g., Tableau, Power BI), SQL, and data warehousing is often necessary. Experience in AI/ML projects or familiarity with machine learning algorithms can be a significant advantage.

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