Business Intelligence Developer Salary in 2023

Salary details

The average Business Intelligence Developer salary lies between USD 76,500 and USD 140,000 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: Nov. 17, 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 Tableau. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Business Intelligence | 87 jobs SQL | 82 jobs Tableau | 47 jobs Power BI | 44 jobs Computer Science | 36 jobs ETL | 33 jobs Architecture | 31 jobs Python | 29 jobs Engineering | 29 jobs Agile | 28 jobs Data visualization | 28 jobs Data warehouse | 26 jobs Security | 23 jobs Data Warehousing | 22 jobs Oracle | 22 jobs Privacy | 22 jobs Testing | 21 jobs Snowflake | 17 jobs Statistics | 17 jobs Data analysis | 17 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, Flex hours and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 50 jobs Flex hours | 22 jobs Health care | 22 jobs Competitive pay | 22 jobs Insurance | 21 jobs Team events | 20 jobs Salary bonus | 19 jobs Equity / stock options | 15 jobs Wellness | 15 jobs Startup environment | 15 jobs Flex vacation | 14 jobs Parental leave | 13 jobs Medical leave | 10 jobs 401(k) matching | 8 jobs Fitness / gym | 4 jobs Signing bonus | 4 jobs Transparency | 3 jobs Travel | 2 jobs Snacks / Drinks | 2 jobs Home office stipend | 2 jobs

Salary Composition

The salary composition for a Business Intelligence Developer in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary tends to be higher to compensate for living expenses. In contrast, regions with a lower cost of living may offer a smaller base salary but potentially higher bonuses or stock options. Industry also plays a crucial role; tech companies often provide competitive salaries with substantial bonuses and stock options, while non-tech industries might offer lower base salaries but compensate with other benefits. Larger companies may offer more comprehensive compensation packages, including health benefits, retirement plans, and professional development opportunities, compared to smaller startups.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Mastering new tools and technologies can make you more valuable to your employer.
• Advanced Education: Pursuing a master's degree or a Ph.D. in a related field can open doors to higher-paying roles.
• Specialization: Specializing in a niche area within AI/ML, such as natural language processing or computer vision, can make you stand out.
• Leadership Roles: Transitioning into a managerial or leadership role can significantly increase your earning potential.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.

Educational Requirements

Most Business Intelligence Developer roles in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, statistics, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for more advanced positions. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for developing and implementing AI/ML models.

Helpful Certifications

Several certifications can enhance your qualifications and make you more competitive in the job market:

• Certified Business Intelligence Professional (CBIP): This certification demonstrates expertise in business intelligence and analytics.
• Microsoft Certified: Azure Data Scientist Associate: This certification is valuable for those working with Microsoft's Azure platform.
• Google Professional Data Engineer: This certification is beneficial for those working with Google's cloud services.
• AWS Certified Machine Learning – Specialty: This certification is ideal for professionals working with Amazon Web Services.

Required Experience

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, such as Tableau or Power BI, and proficiency in programming languages like Python or R are often required. Experience in AI/ML projects, either through previous roles or personal projects, can be a significant advantage.

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