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

Salary details

The average senior-level / expert BI Developer salary lies between USD 95,000 and USD 153,650 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: 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 Business Intelligence. 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:

SQL | 372 jobs Power BI | 340 jobs Business Intelligence | 205 jobs ETL | 201 jobs Computer Science | 170 jobs Azure | 149 jobs Engineering | 145 jobs Security | 134 jobs Agile | 121 jobs Data warehouse | 115 jobs Data visualization | 114 jobs Tableau | 112 jobs Python | 108 jobs Data analysis | 107 jobs Data Warehousing | 103 jobs Architecture | 103 jobs Testing | 102 jobs Data Analytics | 86 jobs SSIS | 82 jobs Snowflake | 76 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 Flex hours. 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 | 261 jobs Health care | 113 jobs Flex hours | 81 jobs Competitive pay | 64 jobs Team events | 62 jobs Insurance | 60 jobs Startup environment | 47 jobs Equity / stock options | 41 jobs Salary bonus | 40 jobs Flex vacation | 34 jobs Parental leave | 31 jobs Medical leave | 30 jobs Wellness | 23 jobs Fitness / gym | 20 jobs 401(k) matching | 19 jobs Flexible spending account | 12 jobs Relocation support | 10 jobs Home office stipend | 8 jobs Transparency | 7 jobs Conferences | 4 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert BI Developer in AI/ML/Data Science typically includes a mix of base salary, bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the largest portion, ranging from 70% to 85% of the total compensation package. Bonuses, which can be performance-based or company-wide, usually account for 10% to 20%. Additional remuneration, such as stock options, profit-sharing, or other incentives, can make up the remaining 5% to 10%.

The composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options, while companies in the Midwest might focus more on bonuses. Larger companies often provide more comprehensive benefits and stock options, whereas smaller companies might offer higher base salaries to attract talent.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.

• Advanced Education: Pursuing a master's or Ph.D. in a related field can open doors to higher-paying roles and leadership positions.

• Networking: Engage with professional networks and communities. Attending conferences, webinars, and workshops can lead to new opportunities and insights into higher-paying roles.

• Leadership Roles: Transitioning into managerial or leadership roles within your organization can significantly boost your salary.

• Industry Shift: Consider moving to industries that pay higher for AI/ML expertise, such as finance, healthcare, or tech giants.

Educational Requirements

Most Senior-level BI Developer roles in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, mathematics, statistics, or a related field. However, a master's degree is often preferred and can be a significant advantage. Advanced degrees demonstrate a deeper understanding of complex concepts and methodologies, which is crucial for senior roles.

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
• IBM Data Science Professional Certificate

These certifications can validate your skills and knowledge, making you more competitive in the job market.

Required Experience

Typically, a Senior-level 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, mentoring junior team members, and collaborating with cross-functional teams is also highly valued.

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