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

Salary details

The average mid-level / intermediate Business Intelligence Manager salary lies between USD 117,000 and USD 168,000 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: Nov. 17, 2024

Salary trend

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

The three most common job tag items assiciated with mid-level / intermediate Business Intelligence Manager job listings are Business Intelligence, SQL and Power BI. 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 | 61 jobs SQL | 43 jobs Power BI | 33 jobs Statistics | 26 jobs Tableau | 25 jobs Engineering | 22 jobs Excel | 21 jobs Python | 19 jobs Data Analytics | 19 jobs Data visualization | 19 jobs Data analysis | 19 jobs Computer Science | 18 jobs ETL | 15 jobs Economics | 13 jobs Finance | 13 jobs R | 12 jobs Data governance | 12 jobs Data quality | 12 jobs Privacy | 12 jobs Architecture | 11 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Business Intelligence Manager job listings are Career development, Health care and Startup environment. 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 | 38 jobs Health care | 20 jobs Startup environment | 19 jobs Competitive pay | 14 jobs Team events | 14 jobs Flex hours | 13 jobs Equity / stock options | 9 jobs Parental leave | 9 jobs 401(k) matching | 8 jobs Wellness | 8 jobs Flex vacation | 7 jobs Medical leave | 7 jobs Salary bonus | 7 jobs Insurance | 6 jobs Conferences | 3 jobs Transparency | 2 jobs Travel | 1 jobs Relocation support | 1 jobs Home office stipend | 1 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate Business Intelligence Manager in AI/ML/Data Science typically includes a combination of a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Bonuses can vary significantly depending on the company's performance and individual achievements, usually accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options or profit-sharing, might make up the remaining 5% to 10%.

The composition can vary based on region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options, while companies in the Midwest might focus more on bonuses. Larger companies often provide more comprehensive benefits and stock options, whereas smaller companies might offer higher bonuses to attract talent.

Increasing Salary

To increase your salary further from this position, consider the following steps:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or methodologies can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open doors to higher-paying roles.
• Leadership Roles: Aim for leadership positions such as Senior Manager or Director, which typically come with higher compensation.
• Industry Change: Transitioning to a higher-paying industry, such as finance or technology, can lead to a salary increase.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into salary trends.

Educational Requirements

Most Mid-level/Intermediate Business Intelligence Manager roles require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, or Business Administration. However, a master's degree in a related discipline is often preferred and can provide a competitive edge. Some roles may also value interdisciplinary studies that combine technical skills with business acumen.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise. Some common and helpful certifications include:

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills and knowledge, making you more attractive to potential employers.

Required Experience

Typically, a Mid-level/Intermediate Business Intelligence Manager is expected to have 5 to 8 years of experience in business intelligence, data analysis, or a related field. Experience in managing teams, leading projects, and working with AI/ML technologies is highly valued. Demonstrated success in driving business outcomes through data-driven insights is crucial.

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