Business Intelligence Engineer Salary in 2023

Salary details

The average Business Intelligence Engineer salary lies between USD 104,300 and USD 185,000 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 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 2023 and the number of open jobs that where associated with them during that period:

Business Intelligence | 199 jobs SQL | 186 jobs Python | 148 jobs Tableau | 148 jobs ETL | 121 jobs Engineering | 119 jobs Statistics | 92 jobs Computer Science | 89 jobs Pipelines | 88 jobs Data visualization | 87 jobs AWS | 85 jobs Data warehouse | 75 jobs Architecture | 72 jobs Redshift | 71 jobs R | 65 jobs Power BI | 65 jobs Finance | 61 jobs Looker | 60 jobs QuickSight | 59 jobs Mathematics | 55 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, Equity / stock options 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 | 148 jobs Equity / stock options | 83 jobs Health care | 67 jobs Flex hours | 52 jobs Parental leave | 46 jobs Flex vacation | 43 jobs Insurance | 40 jobs Salary bonus | 40 jobs Startup environment | 38 jobs Team events | 35 jobs Wellness | 32 jobs Medical leave | 27 jobs Competitive pay | 23 jobs Signing bonus | 23 jobs Flexible spending account | 17 jobs Home office stipend | 12 jobs 401(k) matching | 7 jobs Gear | 6 jobs Conferences | 6 jobs Fitness / gym | 4 jobs

Salary Composition

The salary for a Business Intelligence Engineer 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 often the largest component, accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on individual and company performance. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations, profit-sharing or other incentives might be offered. Regional differences also play a role; for instance, salaries in major tech hubs like San Francisco or New York tend to be higher than in other regions. Industry-specific factors can also influence compensation, with finance and tech sectors typically offering higher salaries compared to others.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into managerial or leadership roles can significantly boost your salary.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements

Most Business Intelligence Engineer roles require at least a bachelor's degree in computer science, data science, statistics, or a related field. A strong foundation in mathematics and statistics is essential. Many employers prefer candidates with a master's degree, especially for roles that involve complex data analysis and machine learning. Courses in data management, data visualization, and business analytics are also highly beneficial.

Helpful Certifications

Several certifications can enhance your qualifications for a Business Intelligence Engineer role:

• Certified Business Intelligence Professional (CBIP): This certification demonstrates expertise in business intelligence and analytics.
• Microsoft Certified: Azure Data Scientist Associate: Useful for those working with Microsoft's Azure platform.
• AWS Certified Data Analytics – Specialty: Beneficial for professionals working with Amazon Web Services.
• Google Professional Data Engineer: Ideal for those using Google Cloud Platform.
• Tableau Desktop Specialist: Useful for roles that require data visualization skills.

Experience Requirements

Typically, employers look for candidates with 3-5 years of experience in data analysis, business intelligence, or a related field. Experience with data warehousing, ETL processes, and data visualization tools is often required. Familiarity with programming languages such as Python, R, or SQL is also essential. Experience in a specific industry can be advantageous, as it provides context for data analysis and decision-making.

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