Salary for Senior-level / Expert BI Developer during 2023

Salary details

The average senior-level / expert BI Developer salary lies between USD 106,000 and USD 140,000 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 Senior-level / Expert BI Developer roles

The three most common job tag items assiciated with senior-level / expert BI Developer job listings are SQL, Power BI and ETL. 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:

SQL | 130 jobs Power BI | 96 jobs ETL | 72 jobs Tableau | 69 jobs Business Intelligence | 68 jobs Agile | 53 jobs Data visualization | 48 jobs Data warehouse | 46 jobs Engineering | 44 jobs Azure | 42 jobs Python | 40 jobs Architecture | 39 jobs Data analysis | 38 jobs Computer Science | 38 jobs Security | 37 jobs Data Warehousing | 32 jobs Data Analytics | 28 jobs Excel | 23 jobs T-SQL | 22 jobs Research | 21 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert BI Developer roles

The three most common job benefits and perks assiciated with senior-level / expert BI Developer 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 2023 and the number of open jobs that where offering them during that period:

Career development | 64 jobs Health care | 38 jobs Startup environment | 27 jobs Competitive pay | 18 jobs Flex hours | 16 jobs Insurance | 11 jobs Team events | 10 jobs 401(k) matching | 9 jobs Equity / stock options | 7 jobs Medical leave | 7 jobs Salary bonus | 6 jobs Parental leave | 5 jobs Flex vacation | 5 jobs Flat hierarchy | 3 jobs Relocation support | 3 jobs Fitness / gym | 2 jobs Home office stipend | 2 jobs Lunch / meals | 1 jobs Wellness | 1 jobs Gear | 1 jobs

Salary Composition

The salary composition for a Senior-level or Expert BI Developer in AI/ML/Data Science typically includes a mix of fixed salary, bonuses, and additional remuneration. The fixed salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Bonuses can vary significantly depending on the company and industry, often making up 10% to 20% of the total compensation. Additional remuneration might include stock options, profit-sharing, or other incentives, which can account for 5% to 10% of the total package.

Regional differences play a significant role; for instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and more lucrative stock options compared to other regions. Industry also matters; tech companies might offer more in stock options, while finance or healthcare might provide higher bonuses. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and smaller companies offering more equity-based incentives.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or methodologies can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open doors to higher-paying roles.
• Leadership Roles: Transitioning into managerial or leadership positions can significantly boost your salary.
• Industry Change: Moving to a higher-paying industry, such as finance or tech, can result in a salary increase.
• Networking: Building a strong professional network can lead to opportunities in higher-paying roles or companies.

Educational Requirements

Most Senior-level or Expert BI Developer roles in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, statistics, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for senior positions. Advanced degrees often provide a deeper understanding of complex algorithms and data analysis techniques, which are crucial for this role.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Analytics Professional (CAP)
• 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 a more attractive candidate for higher-level positions.

Required Experience

Typically, a Senior-level or Expert BI Developer in AI/ML/Data Science is expected to have at least 5 to 10 years of experience in the field. This experience should include hands-on work with data analysis, machine learning models, and business intelligence tools. Experience in leading projects or teams is also highly valued, as it demonstrates your ability to manage complex tasks and collaborate effectively.

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