Salary for Senior-level / Expert Business Intelligence Developer during 2023

Salary details

The average senior-level / expert Business Intelligence Developer salary lies between USD 76,500 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: Oct. 28, 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 Tableau. 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:

Business Intelligence | 53 jobs SQL | 50 jobs Tableau | 30 jobs Power BI | 26 jobs Architecture | 24 jobs Agile | 23 jobs Python | 21 jobs Data visualization | 20 jobs Computer Science | 19 jobs ETL | 18 jobs Engineering | 18 jobs Oracle | 16 jobs Testing | 16 jobs Privacy | 16 jobs Security | 15 jobs Data warehouse | 15 jobs Snowflake | 13 jobs Data Warehousing | 12 jobs Redshift | 12 jobs Azure | 11 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 Salary bonus. 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 | 28 jobs Health care | 14 jobs Salary bonus | 11 jobs Wellness | 10 jobs Team events | 10 jobs Parental leave | 9 jobs Flex hours | 9 jobs Startup environment | 9 jobs Flex vacation | 8 jobs Competitive pay | 8 jobs Insurance | 8 jobs Equity / stock options | 7 jobs Medical leave | 7 jobs 401(k) matching | 6 jobs Signing bonus | 4 jobs Transparency | 2 jobs Unlimited paid time off | 2 jobs Fertility benefits | 2 jobs Travel | 1 jobs Fitness / gym | 1 jobs

Salary Composition

The salary composition for a Senior-level/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, 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, with tech hubs like Silicon Valley or New York offering higher compensation packages compared to other regions.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or big data analytics can make you more valuable.
• Advanced Education: Pursuing advanced degrees such as a Master's or Ph.D. in Data Science, AI, or a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into leadership or managerial roles can significantly increase your earning potential. This might involve leading a team of developers or managing large-scale projects.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Certifications: Obtaining relevant certifications can also enhance your profile and lead to salary increases.

Educational Requirements

Most Senior-level/Expert Business Intelligence Developer roles require at least a bachelor's degree in computer science, data science, information technology, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for roles that involve complex data analysis and machine learning tasks. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certifications

Several certifications can be beneficial for advancing in this field:

• Certified Business Intelligence Professional (CBIP): This certification demonstrates expertise in business intelligence and data analytics.
• Microsoft Certified: Azure Data Scientist Associate: Useful for those working with Microsoft's Azure platform.
• Google Professional Data Engineer: Ideal for professionals working with Google Cloud.
• AWS Certified Machine Learning – Specialty: Beneficial for those using Amazon Web Services for machine learning projects.
• Certified Analytics Professional (CAP): A general certification that validates your analytics skills.

Required Experience

Typically, a Senior-level/Expert Business Intelligence Developer is expected to have 5 to 10 years of experience in business intelligence, data analysis, or a related field. Experience with data warehousing, ETL processes, and data visualization tools is often required. Additionally, hands-on experience with AI/ML tools and frameworks, such as TensorFlow, PyTorch, or scikit-learn, is highly valued.

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