Business Intelligence Developer Salary in 2024

Salary details

The average Business Intelligence Developer salary lies between USD 80,000 and USD 138,000 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 Developer roles

The three most common job tag items assiciated with Business Intelligence Developer 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 | 487 jobs SQL | 426 jobs Power BI | 308 jobs ETL | 260 jobs Computer Science | 237 jobs Tableau | 215 jobs Python | 195 jobs Data warehouse | 149 jobs Engineering | 147 jobs Agile | 146 jobs Data visualization | 139 jobs Data analysis | 131 jobs Data Warehousing | 125 jobs Testing | 123 jobs Security | 114 jobs Architecture | 113 jobs SSIS | 108 jobs Excel | 92 jobs Data Analytics | 90 jobs Statistics | 89 jobs

Top 20 Job Perks/Benefits for Business Intelligence Developer roles

The three most common job benefits and perks assiciated with Business Intelligence Developer job listings are Career development, Health care and Flex hours. 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 | 267 jobs Health care | 195 jobs Flex hours | 108 jobs Competitive pay | 107 jobs Insurance | 102 jobs 401(k) matching | 86 jobs Flex vacation | 78 jobs Parental leave | 76 jobs Startup environment | 75 jobs Equity / stock options | 74 jobs Medical leave | 72 jobs Salary bonus | 60 jobs Wellness | 58 jobs Team events | 58 jobs Flexible spending account | 22 jobs Unlimited paid time off | 21 jobs Relocation support | 18 jobs Fitness / gym | 15 jobs Transparency | 15 jobs Gear | 7 jobs

Salary Composition for Business Intelligence Developers in AI/ML/Data Science

The salary for a Business Intelligence Developer in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component and can vary significantly depending on the region, industry, and company size. For instance, tech hubs like San Francisco or New York may offer higher base salaries compared to other regions. Performance bonuses are often tied to individual or company performance metrics and can range from 10% to 20% of the base salary. Additional remuneration might include stock options, especially in tech startups, or comprehensive benefits packages in larger corporations.

Steps to Increase Salary from This Position

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Mastering new tools and technologies 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 to learn about new opportunities.
• Leadership Roles: Aim for leadership or managerial roles within your organization, which typically come with higher pay.
• Industry Shift: Consider moving to industries that pay higher salaries for BI roles, such as finance or healthcare.

Educational Requirements for the Role

Most Business Intelligence Developer roles in AI/ML/Data Science require at least a bachelor's degree in computer science, information technology, data science, or a related field. A strong foundation in mathematics and statistics is also beneficial. Some positions may prefer candidates with a master's degree, especially for roles that involve complex data analysis or machine learning.

Helpful Certifications

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

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• Tableau Desktop Specialist

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

Experience Requirements

Typically, employers look for candidates with 3-5 years of experience in business intelligence, data analysis, or a related field. Experience with data visualization tools, SQL, and programming languages like Python or R is often required. Familiarity with machine learning models and AI frameworks can be a significant advantage.

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