BI Developer Salary in 2024

Salary details

The average BI Developer salary lies between USD 62,100 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: Nov. 17, 2024

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 | 799 jobs Power BI | 748 jobs ETL | 440 jobs Business Intelligence | 412 jobs Computer Science | 352 jobs Azure | 307 jobs Security | 297 jobs Agile | 284 jobs Engineering | 273 jobs Tableau | 266 jobs Data analysis | 260 jobs Python | 244 jobs Data Analytics | 216 jobs Data visualization | 216 jobs Testing | 202 jobs Data warehouse | 194 jobs SSIS | 171 jobs Data Warehousing | 161 jobs Architecture | 161 jobs Excel | 159 jobs

Top 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 | 547 jobs Health care | 256 jobs Flex hours | 222 jobs Insurance | 141 jobs Team events | 134 jobs Competitive pay | 123 jobs Flex vacation | 105 jobs Startup environment | 100 jobs Salary bonus | 82 jobs Equity / stock options | 71 jobs Parental leave | 64 jobs Medical leave | 55 jobs Wellness | 48 jobs Flexible spending account | 47 jobs 401(k) matching | 40 jobs Fitness / gym | 40 jobs Home office stipend | 22 jobs Relocation support | 15 jobs Transparency | 13 jobs Conferences | 11 jobs

Salary 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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