Salary for Mid-level / Intermediate BI Developer in United States during 2023

Salary details

The average mid-level / intermediate BI Developer salary lies between USD 80,000 and USD 128,000 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

Salary trend

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

The three most common job tag items assiciated with mid-level / intermediate 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 | 61 jobs Power BI | 55 jobs Business Intelligence | 37 jobs Computer Science | 28 jobs Security | 27 jobs Azure | 26 jobs Tableau | 24 jobs ETL | 23 jobs Python | 19 jobs Agile | 19 jobs Engineering | 16 jobs Testing | 15 jobs Excel | 15 jobs Data visualization | 15 jobs Data analysis | 15 jobs Data warehouse | 15 jobs Data Warehousing | 14 jobs Architecture | 13 jobs Data governance | 13 jobs Data management | 12 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 32 jobs Health care | 24 jobs Startup environment | 12 jobs Flex hours | 10 jobs Team events | 10 jobs Competitive pay | 9 jobs Wellness | 5 jobs Conferences | 5 jobs 401(k) matching | 4 jobs Insurance | 4 jobs Salary bonus | 4 jobs Equity / stock options | 3 jobs Parental leave | 3 jobs Fitness / gym | 3 jobs Medical leave | 3 jobs Flex vacation | 2 jobs Yoga | 2 jobs Travel | 1 jobs Gear | 1 jobs Snacks / Drinks | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate BI Developer in the AI/ML/Data Science field typically consists of a base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 5% to 20% of the base salary. Additional remuneration, like stock options, is more common in tech companies, especially startups or large tech firms, and can be a significant part of the compensation in regions like Silicon Valley. In contrast, companies in other regions or industries might offer less in terms of stock options but could provide other benefits like health insurance, retirement plans, or educational reimbursements.

Steps to Increase Salary

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

• Skill Enhancement: Acquire advanced skills in AI/ML, such as deep learning, natural language processing, or computer vision. Proficiency in popular tools and languages like TensorFlow, PyTorch, or R can also be beneficial.
• Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends.
• Advanced Education: Pursue a master's degree or specialized courses in data science or AI to deepen your knowledge and increase your marketability.
• Leadership Roles: Seek opportunities to lead projects or teams, which can position you for roles with higher responsibility and pay.

Educational Requirements

Most mid-level 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 Statistics. However, a master's degree in Data Science, Business Analytics, or a similar discipline can be advantageous and is often preferred by employers for more advanced positions. Continuous learning through online courses and workshops is also highly valued.

Helpful Certifications

Several certifications can enhance your credentials and demonstrate your expertise in the field:

• 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 make you more competitive in the job market.

Experience Requirements

Typically, a mid-level BI Developer in AI/ML/Data Science is expected to have 3-5 years of relevant experience. This experience should include working with data analysis, business intelligence tools, and some exposure to machine learning models and algorithms. Experience in handling large datasets, data visualization, and proficiency in SQL, Python, or similar programming languages is often required.

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