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

Salary details

The average senior-level / expert Business Intelligence Developer salary lies between USD 95,500 and USD 151,034 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 Business Intelligence Developer roles

The three most common job tag items assiciated with senior-level / expert Business Intelligence Developer 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 | 196 jobs SQL | 172 jobs Power BI | 120 jobs ETL | 110 jobs Computer Science | 84 jobs Tableau | 83 jobs Python | 74 jobs Engineering | 69 jobs Data warehouse | 69 jobs Data Warehousing | 62 jobs Agile | 59 jobs Architecture | 55 jobs Data analysis | 53 jobs Data visualization | 50 jobs Security | 48 jobs SSIS | 47 jobs Testing | 46 jobs Azure | 44 jobs Research | 37 jobs Finance | 36 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Business Intelligence Developer job listings are Career development, Health care and Competitive pay. 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 | 92 jobs Health care | 80 jobs Competitive pay | 47 jobs Insurance | 39 jobs Flex hours | 36 jobs Equity / stock options | 34 jobs Startup environment | 34 jobs Parental leave | 33 jobs 401(k) matching | 32 jobs Medical leave | 26 jobs Wellness | 23 jobs Flex vacation | 22 jobs Salary bonus | 22 jobs Team events | 16 jobs Fitness / gym | 8 jobs Transparency | 7 jobs Relocation support | 7 jobs Unlimited paid time off | 7 jobs Flexible spending account | 6 jobs Gear | 3 jobs

Salary Composition

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

• Base Salary: This is the fixed annual amount and usually constitutes the largest portion of the total compensation package. In regions with a high cost of living or in tech hubs like Silicon Valley, the base salary might be higher to attract top talent.

• Bonus: Bonuses can be performance-based or company-wide and are often tied to the achievement of specific goals or milestones. In larger companies or those in competitive industries, bonuses can be a significant part of the compensation package.

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

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML and data science. Specializing in niche areas can make you more valuable.

• Advanced Education: Pursuing advanced degrees or certifications can position you for higher-paying roles.

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

• Networking: Building a strong professional network can open up opportunities for higher-paying positions.

• Industry Change: Some industries, like finance or healthcare, may offer higher salaries for similar roles compared to others.

Educational Requirements

Most senior-level positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, mathematics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex data analysis or algorithm development.

Helpful Certifications

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

• 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 help validate your skills and make you more competitive in the job market.

Required Experience

Typically, a senior-level position requires several years of experience in business intelligence, data analysis, or a related field. Experience with data modeling, data warehousing, and proficiency in tools like SQL, Python, R, and BI platforms (e.g., Tableau, Power BI) is often expected. Leadership experience or a proven track record of managing projects can also be beneficial.

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