Salary for Senior-level / Expert BI Developer during 2024

Salary details

The average senior-level / expert BI Developer salary lies between USD 75,000 and USD 120,000 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. 15, 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

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 is the base pay and usually constitutes the majority of the total compensation package. Bonuses can vary significantly depending on the company’s performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses might be more substantial compared to other areas. Additional remuneration can include stock options, profit-sharing, or other incentives, which are more common in larger tech companies or startups. In smaller companies or less tech-centric regions, the fixed salary might be a larger portion of the total compensation, with fewer additional incentives.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing a master's or Ph.D. in a related field can open up higher-paying opportunities.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities.
• Leadership Roles: Transitioning into managerial or leadership roles can significantly increase your earning potential.
• Consulting: Offering your expertise as a consultant can provide additional income streams.

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, 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 can set you apart from other candidates.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications include:

• 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 help validate your skills and knowledge, making you a more attractive candidate for higher-paying roles.

Required Experience

Typically, a Senior-level BI Developer in AI/ML/Data Science is expected to have at least 5-10 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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