Business Intelligence Engineer Salary in 2024

Salary details

The average Business Intelligence Engineer salary lies between USD 86,500 and USD 175,000 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 Engineer roles

The three most common job tag items assiciated with Business Intelligence Engineer job listings are Business Intelligence, SQL and Python. 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 | 469 jobs SQL | 416 jobs Python | 314 jobs Tableau | 311 jobs Engineering | 286 jobs ETL | 244 jobs Statistics | 217 jobs Data visualization | 202 jobs Computer Science | 194 jobs Power BI | 187 jobs AWS | 183 jobs Pipelines | 180 jobs R | 161 jobs Redshift | 158 jobs QuickSight | 154 jobs Data warehouse | 146 jobs Data analysis | 137 jobs Excel | 128 jobs Data Mining | 125 jobs Security | 123 jobs

Top 20 Job Perks/Benefits for Business Intelligence Engineer roles

The three most common job benefits and perks assiciated with Business Intelligence Engineer job listings are Career development, Health care and Equity / stock options. 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 | 276 jobs Health care | 181 jobs Equity / stock options | 147 jobs Parental leave | 116 jobs Insurance | 109 jobs Medical leave | 105 jobs Competitive pay | 104 jobs Salary bonus | 97 jobs Team events | 93 jobs Flex hours | 90 jobs Startup environment | 76 jobs Flex vacation | 75 jobs Wellness | 61 jobs Gear | 43 jobs 401(k) matching | 37 jobs Conferences | 25 jobs Flexible spending account | 20 jobs Signing bonus | 17 jobs Unlimited paid time off | 11 jobs Fitness / gym | 10 jobs

Salary Composition

The salary for a Business Intelligence Engineer in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses and stock options might be more substantial compared to other areas. Larger companies often offer more comprehensive benefits packages, including health insurance, retirement plans, and professional development opportunities, which can add significant value to the overall compensation.

Steps to Increase Salary

To increase your salary from this position, consider pursuing advanced certifications or degrees, such as a Master's in Data Science or an MBA with a focus on technology management. Gaining expertise in emerging technologies like machine learning, artificial intelligence, or big data analytics can make you more valuable to employers. Additionally, taking on leadership roles or projects that demonstrate your ability to drive business impact can position you for promotions or salary negotiations. Networking within industry groups and attending relevant conferences can also open up opportunities for higher-paying roles.

Educational Requirements

Most Business Intelligence Engineer roles require at least a bachelor's degree in a related field such as Computer Science, Information Systems, or Data Science. Some positions may prefer or require a master's degree, especially for roles that involve more complex data analysis or strategic decision-making. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for analyzing data and developing insights.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Data Analyst Associate
• Tableau Desktop Specialist
• AWS Certified Data Analytics – Specialty
• Google Professional Data Engineer

These certifications can validate your skills in data analysis, visualization, and cloud-based data solutions, making you a more competitive candidate.

Required Experience

Typically, employers look for candidates with at least 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 data warehousing solutions is often required. Familiarity with machine learning models and statistical analysis can also be beneficial, especially for roles that intersect with AI/ML.

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