BI Developer Salary in 2024
💰 The median BI Developer Salary in 2024 is USD 90,000
✏️ This salary info is based on 150 individual salaries reported during 2024
Salary details
The average BI Developer salary lies between USD 62,500 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.
- Job title
- BI Developer
- Experience
- all levels
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 150
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- Top 25%
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- Median
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- Bottom 25%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Salary trend
Top 20 Job Tags for BI Developer roles
The three most common job tag items assiciated with BI Developer job listings are SQL, Power BI and ETL. 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 | 917 jobs Power BI | 850 jobs ETL | 508 jobs Business Intelligence | 458 jobs Computer Science | 404 jobs Azure | 350 jobs Security | 342 jobs Engineering | 311 jobs Agile | 311 jobs Tableau | 289 jobs Data analysis | 288 jobs Python | 279 jobs Data visualization | 248 jobs Data Analytics | 247 jobs Testing | 221 jobs Data warehouse | 215 jobs SSIS | 196 jobs Architecture | 184 jobs Data Warehousing | 183 jobs Excel | 183 jobsTop 20 Job Perks/Benefits for BI Developer roles
The three most common job benefits and perks assiciated with 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 | 614 jobs Health care | 292 jobs Flex hours | 254 jobs Insurance | 168 jobs Team events | 148 jobs Competitive pay | 135 jobs Flex vacation | 121 jobs Startup environment | 112 jobs Salary bonus | 101 jobs Equity / stock options | 78 jobs Parental leave | 70 jobs Medical leave | 61 jobs Flexible spending account | 58 jobs Wellness | 50 jobs Fitness / gym | 43 jobs 401(k) matching | 42 jobs Home office stipend | 22 jobs Relocation support | 16 jobs Transparency | 15 jobs Conferences | 12 jobsSalary Composition
The salary composition for a BI Developer transitioning into AI/ML/Data Science roles can vary significantly based on region, industry, and company size. Typically, the fixed salary forms the bulk of the compensation package, often accounting for 70-85% of the total remuneration. Bonuses, which can be performance-based or company-wide, usually make up 10-20% of the total package. Additional remuneration, such as stock options, profit sharing, or other incentives, can contribute 5-10%, especially in tech-heavy regions like Silicon Valley or for larger companies. In smaller companies or startups, equity might play a more significant role, while in larger corporations, bonuses and benefits might be more structured and predictable.
Increasing Salary
To increase your salary from a BI Developer position, consider the following steps:
- Skill Enhancement: Acquire advanced skills in AI/ML, such as deep learning, natural language processing, or computer vision. Proficiency in popular frameworks like TensorFlow or PyTorch can be advantageous.
- Specialization: Focus on a niche area within AI/ML that is in high demand, such as AI ethics, explainable AI, or AI in healthcare.
- Networking: Engage with professional networks and communities, attend conferences, and participate in hackathons to increase your visibility and opportunities.
- Advanced Education: Pursue a master's degree or Ph.D. in a related field, which can open doors to higher-level positions and salaries.
- Leadership Roles: Aim for leadership or managerial roles within your team or organization, which often come with higher pay.
Educational Requirements
Most AI/ML/Data Science roles require at least a bachelor's degree in a related field such as Computer Science, Mathematics, Statistics, or Engineering. However, a master's degree or Ph.D. is often preferred, especially for more advanced positions. Courses in machine learning, data mining, and statistical analysis are particularly beneficial. Additionally, a strong foundation in programming languages like Python or R is essential.
Helpful Certifications
Certifications can bolster your credentials and demonstrate your expertise. Some valuable certifications include:
- Certified Data Scientist (CDS)
- TensorFlow Developer Certificate
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
- Google Professional Machine Learning Engineer
These certifications can help validate your skills and make you more competitive in the job market.
Required Experience
Typically, employers look for candidates with 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with data modeling, ETL processes, and data visualization tools is often required. For AI/ML roles, hands-on experience with machine learning projects, either through work or personal projects, is highly valued. Demonstrating a track record of solving complex problems using data-driven approaches can set you apart.
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