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

Salary details

The average senior-level / expert Business Intelligence Developer salary lies between USD 99,800 and USD 156,000 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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

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 | 182 jobs SQL | 162 jobs Power BI | 112 jobs ETL | 105 jobs Tableau | 79 jobs Computer Science | 76 jobs Python | 69 jobs Engineering | 65 jobs Data warehouse | 63 jobs Data Warehousing | 60 jobs Agile | 56 jobs Architecture | 52 jobs Data analysis | 50 jobs Data visualization | 48 jobs Security | 44 jobs SSIS | 43 jobs Testing | 42 jobs Azure | 40 jobs Research | 33 jobs Finance | 33 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 | 85 jobs Health care | 77 jobs Competitive pay | 45 jobs Flex hours | 35 jobs Insurance | 35 jobs Equity / stock options | 33 jobs Startup environment | 33 jobs 401(k) matching | 31 jobs Parental leave | 31 jobs Medical leave | 24 jobs Wellness | 23 jobs Flex vacation | 21 jobs Salary bonus | 21 jobs Team events | 15 jobs Fitness / gym | 8 jobs Relocation support | 7 jobs Transparency | 6 jobs Flexible spending account | 6 jobs Unlimited paid time off | 6 jobs Gear | 2 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Business Intelligence Developer in AI/ML/Data Science typically includes a combination of 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 ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, often ranging from 10% to 20% of the total compensation. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can account for 5% to 15% of the total package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets.

Increasing Salary Further

To increase your salary beyond the median of USD 131,000, consider the following strategies:

• Specialize in High-Demand Areas: Focus on niche areas within AI/ML, such as natural language processing, computer vision, or deep learning, which are in high demand and can command higher salaries.
• Pursue Leadership Roles: Transitioning into managerial or leadership positions can significantly boost your earning potential. This might involve leading a team of developers or managing large-scale projects.
• Continuous Learning and Upskilling: Stay updated with the latest technologies and methodologies in AI/ML. Advanced certifications or a master's degree in a related field can also enhance your qualifications.
• Network and Build Industry Connections: Engage with professional networks and attend industry conferences to increase your visibility and open up opportunities for higher-paying roles.

Educational Requirements

Most Senior-level Business Intelligence 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, a master's degree or even a Ph.D. is often preferred, especially for expert-level positions. These advanced degrees provide a deeper understanding of complex algorithms and data analysis techniques, which are crucial for high-level roles.

Helpful Certifications

Several certifications can enhance your qualifications and make you more competitive in the job market:

• Certified Analytics Professional (CAP): This certification demonstrates your ability to transform data into valuable insights.
• Microsoft Certified: Azure Data Scientist Associate: Useful if you work with Microsoft's Azure platform.
• Google Professional Data Engineer: Beneficial for those working within the Google Cloud ecosystem.
• AWS Certified Machine Learning – Specialty: Ideal for professionals working with Amazon Web Services.

Required Experience

Typically, a Senior-level Business Intelligence 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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