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

Salary details

The average mid-level / intermediate Business Intelligence Engineer salary lies between USD 79,600 and USD 172,000 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. 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/Intermediate Business Intelligence Engineer in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, usually ranging from 10-20% 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, especially in finance or healthcare, 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 smaller cities.

Increasing Salary

To increase your salary from this position, 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 relevant certifications can enhance your qualifications.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities.
• Leadership Roles: Aim for roles that offer leadership responsibilities, such as leading a project or a team, which often come with higher pay.
• Switching Companies: Sometimes, moving to a different company can result in a significant salary increase, especially if the new company values your specific skill set more.

Educational Requirements

Most positions for a Mid-level/Intermediate Business Intelligence Engineer require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Data Science, or Statistics. A master's degree can be advantageous and is sometimes preferred, especially for roles that require a deeper understanding of AI/ML concepts. Courses in data analysis, machine learning, and business intelligence tools are particularly relevant.

Helpful Certifications

Several certifications can bolster your credentials and demonstrate your expertise:

• Certified Business Intelligence Professional (CBIP): Recognized for its focus on data management and analytics.
• Microsoft Certified: Azure Data Scientist Associate: Useful if you work with Microsoft Azure.
• Google Professional Data Engineer: Beneficial for those working in Google Cloud environments.
• AWS Certified Data Analytics – Specialty: Ideal for professionals using Amazon Web Services.

These certifications can help you stand out in the job market and may lead to better job opportunities and higher salaries.

Required Experience

Typically, a Mid-level/Intermediate Business Intelligence Engineer is expected to have 3-5 years of experience in a related field. This experience should include hands-on work with data analysis, business intelligence tools, and possibly some exposure to machine learning models. Experience in specific industries, such as finance, healthcare, or retail, can also be advantageous, as it provides context for data-driven decision-making in those sectors.

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