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

Salary details

The average mid-level / intermediate Business Intelligence Manager salary lies between USD 104,000 and USD 160,000 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 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 composition for a Mid-level/Intermediate Business Intelligence Manager in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. In regions like North America and Western Europe, the base salary often constitutes 70-80% of the total compensation package. Performance bonuses can range from 10-20%, depending on the company's profitability and individual performance metrics. In tech-heavy industries or larger companies, additional remuneration such as stock options or equity can make up 5-10% of the total package, providing long-term financial benefits.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your technical skills, especially in emerging AI/ML technologies and tools. Proficiency in programming languages like Python or R, and expertise in data visualization tools, can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized courses in data science or AI can position you for higher-paying roles.
• Networking: Engage with industry professionals through conferences, seminars, and online platforms to learn about new opportunities and trends.
• Leadership Roles: Seek opportunities to lead projects or teams, demonstrating your capability to handle more responsibility, which can justify a salary increase.
• Industry Switch: Consider moving to industries that pay higher salaries for BI roles, such as finance, healthcare, or tech.

Educational Requirements

Most Mid-level Business Intelligence Manager roles require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Data Science, or Business Administration. However, a master's degree in Business Analytics, Data Science, or an MBA with a focus on technology can be highly advantageous and sometimes preferred by employers.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable 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 can help you stand out in the job market and may lead to better job opportunities and salary prospects.

Required Experience

Typically, a Mid-level Business Intelligence Manager is expected to have 5-7 years of experience in data analysis, business intelligence, or a related field. This experience should include hands-on work with data visualization tools, data warehousing, and a solid understanding of data modeling. Experience in managing teams or projects is also highly beneficial.

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