Salary for Mid-level / Intermediate Business Intelligence Manager in United States during 2023

Salary details

The average mid-level / intermediate Business Intelligence Manager salary lies between USD 104,000 and USD 160,000 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 Manager roles

The three most common job tag items assiciated with mid-level / intermediate Business Intelligence Manager job listings are Business Intelligence, Tableau and SQL. 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 | 12 jobs Tableau | 10 jobs SQL | 9 jobs Power BI | 8 jobs Statistics | 6 jobs Engineering | 5 jobs Data visualization | 5 jobs Data quality | 5 jobs Excel | 4 jobs Computer Science | 4 jobs Data Warehousing | 3 jobs Security | 3 jobs Data governance | 3 jobs Python | 2 jobs Machine Learning | 2 jobs AWS | 2 jobs Research | 2 jobs Economics | 2 jobs Data Analytics | 2 jobs Consulting | 2 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, Insurance and Salary bonus. 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 | 8 jobs Insurance | 3 jobs Salary bonus | 3 jobs Parental leave | 2 jobs Flex vacation | 2 jobs Wellness | 2 jobs Health care | 2 jobs Travel | 2 jobs Startup environment | 2 jobs Competitive pay | 2 jobs 401(k) matching | 1 jobs Lunch / meals | 1 jobs Flex hours | 1 jobs Team events | 1 jobs Relocation support | 1 jobs Medical leave | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Business Intelligence Manager in the AI/ML/Data Science field typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, usually around 70-80%. Performance bonuses can vary significantly depending on the company's performance and individual achievements, typically ranging from 10-20% of the base salary. Additional remuneration, such as stock options or profit-sharing, can make up the remaining 5-10%, though this can be higher in tech companies or startups. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York may be higher due to the cost of living and demand for talent. Industry and company size also influence salary composition, with larger tech firms often offering more comprehensive compensation packages compared to smaller companies or those in non-tech industries.

Next Steps for Salary Increase

To increase your salary from this position, consider pursuing advanced roles such as Senior Business Intelligence Manager or Director of Business Intelligence. This often requires demonstrating leadership skills, a track record of successful projects, and the ability to drive strategic initiatives. Networking within the industry and seeking mentorship can provide insights and opportunities for advancement. Additionally, expanding your skill set to include expertise in emerging technologies, such as machine learning or data engineering, can make you more valuable to employers. Pursuing further education, such as a master's degree in data science or business analytics, can also enhance your qualifications and open doors to higher-paying roles.

Educational Requirements

Most Mid-level/Intermediate Business Intelligence Manager positions require at least a bachelor's degree in a related field such as computer science, information systems, business administration, or data science. However, a master's degree is increasingly preferred, especially in competitive markets. Relevant fields for a master's degree include data science, business analytics, or an MBA with a focus on technology or analytics. A strong educational background provides a solid foundation in both technical and business aspects, which is crucial for success in this role.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your commitment to professional development. Some common and beneficial certifications include:

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

These certifications validate your skills in data analysis, visualization, and business intelligence tools, making you a more attractive candidate to employers.

Required Experience

Typically, a Mid-level/Intermediate Business Intelligence Manager is expected to have 5-7 years of experience in business intelligence, data analysis, or a related field. This experience should include hands-on work with data visualization tools, data warehousing, and reporting. Experience in managing teams or projects is also highly valued, as it demonstrates your ability to lead and deliver results. Familiarity with industry-specific data and business processes can be advantageous, especially if you are targeting a particular sector.

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