BI Developer Salary in United States during 2024

💰 The median BI Developer Salary in United States during 2024 is USD 104,960

✏️ This salary info is based on 102 individual salaries reported during 2024

Salary details

The average BI Developer salary lies between USD 80,000 and USD 142,000 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.

Job title: BI Developer

Experience: all levels

Region: United States

Salary year: 2024

Sample size: 102

Top 10%: $ 179,000

Top 25%: $ 142,000

Median: $ 104,960

Bottom 25%: $ 80,000

Bottom 10%: $ 59,469

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 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:

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:

Salary Composition

In the United States, 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 salary is composed of a fixed base salary, which forms the bulk of the compensation package. In tech hubs like San Francisco or New York, the base salary might be higher due to the cost of living and competitive job market. Bonuses are often performance-based and can range from 5% to 20% of the base salary, depending on the company's profitability and individual performance. Additional remuneration might include stock options, especially in tech startups or large tech companies, and benefits such as health insurance, retirement plans, and professional development allowances.

Increasing Salary Potential

To increase your salary further from a BI Developer position, consider specializing in high-demand areas within AI/ML, such as deep learning, natural language processing, or computer vision. Gaining expertise in these areas can make you more valuable to employers. Additionally, pursuing leadership roles or project management positions can lead to higher compensation. Networking within industry groups and attending conferences can also open up opportunities for higher-paying roles. Finally, consider relocating to regions with higher salary averages for AI/ML roles, if feasible.

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. can be advantageous and is often preferred for more advanced positions. These advanced degrees provide a deeper understanding of complex algorithms and data analysis techniques, which are crucial in AI/ML roles.

Helpful Certifications

Certifications can enhance your resume and demonstrate your commitment to the field. Some common and helpful certifications include:

Certified Data Scientist (CDS)
Google Professional Machine Learning Engineer
Microsoft Certified: Azure AI Engineer Associate
AWS Certified Machine Learning – Specialty

These certifications validate your skills and knowledge in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, employers look for candidates with at least 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with programming languages such as Python or R, and familiarity with machine learning frameworks like TensorFlow or PyTorch, is often required. Practical experience in handling large datasets and deploying machine learning models in production environments is highly valued.

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