Business Intelligence Specialist Salary in 2024

Salary details

The average Business Intelligence Specialist salary lies between USD 95,264 and USD 155,376 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. 15, 2024

Top 20 Job Tags for Business Intelligence Specialist roles

The three most common job tag items assiciated with Business Intelligence Specialist 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 | 77 jobs SQL | 62 jobs Power BI | 54 jobs Python | 45 jobs Tableau | 43 jobs R | 34 jobs Excel | 31 jobs Finance | 27 jobs Data visualization | 27 jobs Engineering | 24 jobs Computer Science | 23 jobs Azure | 22 jobs Data analysis | 22 jobs Testing | 19 jobs ETL | 18 jobs Databricks | 17 jobs Research | 16 jobs Data Analytics | 15 jobs Agile | 14 jobs Statistics | 14 jobs

Top 20 Job Perks/Benefits for Business Intelligence Specialist roles

The three most common job benefits and perks assiciated with Business Intelligence Specialist job listings are Career development, Health care and Team events. 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 | 41 jobs Health care | 20 jobs Team events | 19 jobs Flex hours | 14 jobs Flex vacation | 12 jobs Insurance | 10 jobs Startup environment | 9 jobs Equity / stock options | 8 jobs Wellness | 7 jobs Competitive pay | 7 jobs Fitness / gym | 5 jobs Medical leave | 5 jobs Unlimited paid time off | 5 jobs 401(k) matching | 4 jobs Parental leave | 4 jobs Transparency | 4 jobs Home office stipend | 4 jobs Relocation support | 3 jobs Salary bonus | 2 jobs Conferences | 1 jobs

Salary Composition

The salary composition for a Business Intelligence Specialist in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components:

• Fixed Salary: This is the base salary and usually constitutes the largest portion of the total compensation package. In regions with a high cost of living or in industries like tech and finance, the fixed salary tends to be higher.

• Bonus: Bonuses can be performance-based or company-wide. Performance-based bonuses are tied to individual or team achievements, while company-wide bonuses depend on the overall success of the organization. In larger companies, bonuses might be more structured and predictable.

• Additional Remuneration: This includes stock options, profit-sharing, and other incentives. Tech companies, especially startups, often offer stock options as part of the compensation package. Benefits such as health insurance, retirement plans, and paid time off also contribute to the overall remuneration.

Increasing Salary

To increase your salary from the position of a Business Intelligence Specialist, consider the following steps:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Mastering new tools and technologies can make you more valuable to your employer.

• Advanced Education: Pursuing a master's degree or specialized certifications can open up higher-paying opportunities.

• Networking: Building a strong professional network can lead to new job opportunities and salary negotiations.

• Leadership Roles: Transitioning into managerial or leadership roles can significantly increase your earning potential.

• Industry Shift: Moving to a higher-paying industry, such as finance or tech, can also result in a salary increase.

Educational Requirements

Most Business Intelligence Specialist roles require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Statistics, or Business Administration. However, a master's degree in Data Science, Business Analytics, or a related field is often preferred and can provide a competitive edge.

Helpful Certifications

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

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

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

Experience Requirements

Typically, a Business Intelligence Specialist role requires 3-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools, SQL, and data warehousing is often essential. Prior experience in a specific industry can also be beneficial, as it provides domain knowledge that can be applied to business intelligence tasks.

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