Salary for Senior-level / Expert Business Intelligence Specialist during 2024

Salary details

The average senior-level / expert 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 Senior-level / Expert Business Intelligence Specialist roles

The three most common job tag items assiciated with senior-level / expert Business Intelligence Specialist job listings are Business Intelligence, SQL and Python. 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 | 19 jobs SQL | 14 jobs Python | 10 jobs Tableau | 9 jobs Power BI | 9 jobs Excel | 8 jobs Data visualization | 7 jobs Research | 6 jobs Engineering | 6 jobs Testing | 6 jobs Agile | 6 jobs Computer Science | 6 jobs R | 5 jobs Machine Learning | 5 jobs Data Warehousing | 5 jobs Finance | 5 jobs Data analysis | 5 jobs ETL | 4 jobs Architecture | 4 jobs Azure | 4 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Business Intelligence Specialist roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 15 jobs Health care | 7 jobs Team events | 7 jobs Insurance | 6 jobs Startup environment | 5 jobs Wellness | 4 jobs Competitive pay | 4 jobs 401(k) matching | 3 jobs Flex hours | 3 jobs Equity / stock options | 2 jobs Parental leave | 2 jobs Flex vacation | 2 jobs Medical leave | 2 jobs Fitness / gym | 1 jobs Conferences | 1 jobs Relocation support | 1 jobs Salary bonus | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Business Intelligence Specialist in AI/ML/Data Science typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations or financial institutions, profit-sharing or other incentives might be offered. Regional differences also play a role; for instance, salaries in major tech hubs like San Francisco or New York tend to be higher than in smaller cities.

Increasing Salary

To increase your salary from this position, consider pursuing leadership roles such as a BI Manager or Director of Data Science. These roles often come with higher compensation and more strategic responsibilities. Additionally, specializing in high-demand areas like machine learning engineering or AI ethics can make you more valuable. Networking within industry circles and attending conferences can also open up opportunities for higher-paying roles. Another strategy is to gain expertise in emerging technologies or methodologies, which can position you as a thought leader in the field.

Educational Requirements

Most Senior-level Business Intelligence Specialists hold at least a bachelor's degree in fields such as Computer Science, Data Science, Statistics, or Business Administration. However, a master's degree or even a Ph.D. can be advantageous, especially in competitive markets. Advanced degrees often provide deeper technical knowledge and analytical skills, which are crucial for tackling complex data challenges. Additionally, coursework in machine learning, data mining, and big data technologies is highly beneficial.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable 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 Senior-level Business Intelligence Specialist is expected to have 5-10 years of experience in data analysis, business intelligence, or a related field. This experience should include a proven track record of using BI tools and technologies, such as Tableau, Power BI, or QlikView, to drive business insights. Experience in managing data projects, leading teams, and collaborating with cross-functional stakeholders is also crucial. Familiarity with programming languages like Python or R and experience with SQL databases are often required.

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