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

Salary details

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

The salary for a Mid-level/Intermediate Business Intelligence Manager 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 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, often ranging from 10-20% of the total salary. Additional remuneration, such as stock options or profit-sharing, can make up the remaining 5-10%, though this varies widely based on company size and industry. In tech-heavy regions like Silicon Valley, stock options might play a more significant role, whereas in other regions, the focus might be more on cash bonuses.

Next Steps for Salary Increase

To increase your salary further from this position, consider pursuing advanced roles such as Senior Business Intelligence Manager or Director of Data Science. This often requires demonstrating leadership capabilities, strategic vision, and a track record of successful project delivery. Additionally, expanding your skill set to include expertise in emerging technologies like machine learning, artificial intelligence, and big data analytics can make you more valuable. Networking within industry circles and attending relevant conferences can also open up opportunities for higher-paying roles. Finally, consider negotiating your salary during performance reviews or when taking on additional responsibilities.

Educational Requirements

Most Mid-level/Intermediate 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, particularly an MBA or a specialized degree in Data Science or Analytics, is often preferred and can provide a competitive edge. The educational background should ideally be complemented by a strong understanding of business processes and data management.

Helpful Certifications

Certifications can significantly enhance your qualifications for this role. Some of the most 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 proficiency in data analysis tools and platforms, which are crucial for a Business Intelligence Manager.

Required Experience

Typically, a Mid-level/Intermediate 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 analytics platforms. Experience in managing teams and projects is also highly valued, as the role often involves leading a team of analysts and coordinating cross-functional projects.

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