Business Intelligence Analyst Salary in 2024

Salary details

The average Business Intelligence Analyst salary lies between USD 82,450 and USD 139,000 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: 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 | 782 jobs SQL | 638 jobs Power BI | 458 jobs Python | 451 jobs Tableau | 433 jobs Statistics | 379 jobs Data analysis | 316 jobs Excel | 287 jobs Engineering | 259 jobs Computer Science | 255 jobs Data visualization | 242 jobs R | 229 jobs Data Analytics | 192 jobs Finance | 189 jobs Research | 187 jobs Mathematics | 184 jobs ETL | 176 jobs Security | 156 jobs Data quality | 128 jobs Privacy | 127 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 | 422 jobs Health care | 283 jobs Competitive pay | 229 jobs Flex hours | 204 jobs Equity / stock options | 156 jobs Flex vacation | 135 jobs Salary bonus | 125 jobs Insurance | 123 jobs Team events | 119 jobs Startup environment | 112 jobs Parental leave | 97 jobs Wellness | 91 jobs Medical leave | 83 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 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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