BI Developer Salary in 2023

Salary details

The average BI Developer salary lies between USD 81,500 and USD 135,000 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 BI Developer roles

The three most common job tag items assiciated with BI Developer job listings are SQL, Power BI and Business Intelligence. 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:

SQL | 238 jobs Power BI | 194 jobs Business Intelligence | 135 jobs ETL | 119 jobs Tableau | 106 jobs Agile | 91 jobs Azure | 84 jobs Data warehouse | 79 jobs Computer Science | 78 jobs Security | 77 jobs Engineering | 76 jobs Python | 73 jobs Data visualization | 71 jobs Data analysis | 68 jobs Architecture | 61 jobs Data Analytics | 51 jobs Data Warehousing | 49 jobs Testing | 48 jobs Excel | 44 jobs SSIS | 40 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 Startup environment. 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 | 128 jobs Health care | 74 jobs Startup environment | 47 jobs Flex hours | 38 jobs Competitive pay | 34 jobs Team events | 32 jobs Insurance | 21 jobs Salary bonus | 16 jobs Equity / stock options | 15 jobs 401(k) matching | 13 jobs Medical leave | 13 jobs Parental leave | 10 jobs Relocation support | 9 jobs Flex vacation | 7 jobs Fitness / gym | 7 jobs Home office stipend | 7 jobs Wellness | 6 jobs Conferences | 6 jobs Flat hierarchy | 4 jobs Gear | 4 jobs

Salary Composition

The salary composition for a BI Developer in AI/ML/Data Science can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into three main components: a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits.

• Region: In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and demand for skilled professionals. In contrast, regions with a lower cost of living might offer a smaller base salary but could compensate with other benefits.
• Industry: Industries like finance and healthcare often offer higher bonuses due to the critical nature of data-driven decision-making in these fields. Tech companies might provide stock options as part of the compensation package.
• Company Size: Larger companies may offer more comprehensive benefits and bonuses, while startups might offer equity or stock options as part of the compensation to attract talent.

Increasing Salary

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

• Skill Enhancement: Continuously upgrade your skills in AI/ML and data science. Learning new programming languages, tools, or frameworks can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized courses in data science or machine learning can open up higher-paying opportunities.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms. Networking can lead to new job opportunities or collaborations.
• Certifications: Obtain relevant certifications that can validate your skills and make you stand out to employers.
• Leadership Roles: Aim for leadership or managerial roles within your organization, which typically come with higher pay.

Educational Requirements

Most BI Developer roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, information technology, mathematics, or engineering. However, a master's degree or Ph.D. in data science, machine learning, or a related discipline can be highly advantageous and is often preferred for more advanced positions.

Helpful Certifications

Certifications can significantly enhance your profile and demonstrate your expertise. Some common and helpful 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 more attractive to potential employers.

Experience Requirements

Typically, a BI Developer in AI/ML/Data Science is expected to have 3-5 years of experience in business intelligence, data analysis, or a related field. Experience with data visualization tools, databases, and programming languages like Python or R is often required. Additionally, hands-on experience with machine learning models and data processing frameworks can be crucial.

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