Salary for Mid-level / Intermediate Business Intelligence Developer in United States during 2024

Salary details

The average mid-level / intermediate Business Intelligence Developer salary lies between USD 80,000 and USD 130,000 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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

Top 20 Job Tags for Mid-level / Intermediate Business Intelligence Developer roles

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

Business Intelligence | 173 jobs SQL | 155 jobs Power BI | 113 jobs ETL | 99 jobs Computer Science | 89 jobs Tableau | 82 jobs Python | 80 jobs Agile | 59 jobs Data visualization | 59 jobs Data warehouse | 49 jobs Data analysis | 47 jobs Testing | 45 jobs Architecture | 44 jobs SSIS | 44 jobs Security | 42 jobs Statistics | 40 jobs Excel | 39 jobs Research | 38 jobs Oracle | 35 jobs Engineering | 34 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Business Intelligence Developer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Business Intelligence Developer job listings are Career development, Health care and Insurance. 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 | 103 jobs Health care | 74 jobs Insurance | 51 jobs Flex hours | 47 jobs 401(k) matching | 43 jobs Flex vacation | 40 jobs Competitive pay | 38 jobs Team events | 31 jobs Parental leave | 27 jobs Startup environment | 27 jobs Medical leave | 26 jobs Equity / stock options | 23 jobs Salary bonus | 21 jobs Wellness | 18 jobs Flexible spending account | 14 jobs Unlimited paid time off | 13 jobs Relocation support | 5 jobs Transparency | 4 jobs Fitness / gym | 3 jobs Snacks / Drinks | 3 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate Business Intelligence Developer in AI/ML/Data Science typically includes a fixed base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, usually 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, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations or financial institutions, bonuses might be more substantial, reflecting the company's profitability and individual performance.

Increasing Salary Potential

To increase your salary from this position, consider pursuing advanced roles such as Senior Data Scientist, AI Specialist, or Data Science Manager. Gaining expertise in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable. Additionally, developing leadership skills and taking on project management responsibilities can position you for promotions. Networking within industry groups and attending conferences can also open up opportunities for higher-paying roles. Pursuing further education, such as a master's degree or specialized certifications, can also enhance your qualifications and salary prospects.

Educational Requirements

Most positions in AI/ML/Data Science for a Business Intelligence Developer require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Information Technology. However, a master's degree is increasingly preferred, especially for roles that involve complex data analysis and machine learning model development. Courses in mathematics, statistics, and programming are essential, and familiarity with data visualization tools and techniques is highly beneficial.

Helpful Certifications

Certifications can significantly enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• IBM Data Science Professional Certificate
• AWS Certified Machine Learning – Specialty

These certifications can provide a competitive edge and are often recognized across various industries.

Experience Requirements

Typically, a Mid-level/Intermediate Business Intelligence Developer role requires 3 to 5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools like Tableau or Power BI, as well as proficiency in programming languages such as Python or R, is often expected. Familiarity with machine learning frameworks and cloud platforms can also be advantageous.

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