Salary for Mid-level / Intermediate Business Intelligence Engineer in United States during 2024

Salary details

The average mid-level / intermediate Business Intelligence Engineer salary lies between USD 79,600 and USD 172,000 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 22, 2024

Salary trend

Top 20 Job Tags for Mid-level / Intermediate Business Intelligence Engineer roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 132 jobs SQL | 123 jobs Python | 100 jobs Tableau | 95 jobs Engineering | 84 jobs ETL | 76 jobs Statistics | 66 jobs Power BI | 64 jobs Data visualization | 62 jobs Computer Science | 60 jobs R | 50 jobs AWS | 46 jobs Data warehouse | 46 jobs Data analysis | 43 jobs Pipelines | 40 jobs Excel | 39 jobs Redshift | 37 jobs Looker | 32 jobs Oracle | 31 jobs Data Mining | 31 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Business Intelligence Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Business Intelligence Engineer job listings are Career development, Health care and Parental leave. 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 | 69 jobs Health care | 44 jobs Parental leave | 27 jobs Equity / stock options | 26 jobs Competitive pay | 26 jobs Insurance | 25 jobs Flex hours | 24 jobs Medical leave | 24 jobs Salary bonus | 21 jobs Flex vacation | 19 jobs Startup environment | 16 jobs 401(k) matching | 14 jobs Wellness | 14 jobs Team events | 14 jobs Gear | 11 jobs Unlimited paid time off | 4 jobs Signing bonus | 3 jobs Conferences | 3 jobs Flexible spending account | 3 jobs Fitness / gym | 2 jobs

Salary Composition

The salary for a Mid-level Business Intelligence Engineer in the AI/ML/Data Science field typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 5% to 20% of the base salary. 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 401(k) matching might be more prevalent. The composition can also vary by region, with higher base salaries often found in metropolitan areas with a high cost of living, such as New York City or San Francisco.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in data science or a related field. Gaining expertise in high-demand areas 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 conferences can also open up opportunities for higher-paying positions.

Educational Requirements

Most mid-level Business Intelligence Engineer roles require at least a bachelor's degree in a related field such as computer science, information technology, or data science. Some positions may prefer or require a master's degree, especially in more competitive markets or specialized roles. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for data analysis and interpretation.

Helpful Certifications

Several certifications can enhance your qualifications for a Business Intelligence Engineer role. Common and beneficial 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 demonstrate your expertise in specific tools and methodologies, making you a more attractive candidate to potential employers.

Required Experience

Typically, a mid-level Business Intelligence Engineer is expected to have 3 to 5 years of relevant experience. This experience should include working with data analysis, data warehousing, and business intelligence tools. Experience in programming languages such as SQL, Python, or R is often required, along with familiarity with data visualization tools like Tableau or Power BI. Experience in a specific industry can also be beneficial, as it provides context for data-driven decision-making.

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