BI Developer Salary in United States during 2023

Salary details

The average BI Developer salary lies between USD 100,000 and USD 135,000 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 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

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 package includes a fixed base salary, which forms the bulk of the compensation. 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 10% 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

To increase your salary further from a BI Developer position, consider the following steps:

• Skill Enhancement: Acquire advanced skills in machine learning, deep learning, and data engineering. Proficiency in programming languages like Python and R, as well as experience with AI frameworks such as TensorFlow or PyTorch, can be valuable.
• Specialization: Focus on a niche area within AI/ML, such as natural language processing, computer vision, or reinforcement learning, to become a sought-after expert.
• Networking: Attend industry conferences, join professional groups, and engage in online forums to expand your professional network and discover new opportunities.
• Advanced Education: Pursue a master's degree or Ph.D. in a related field to enhance your qualifications and open doors to higher-level positions.
• Leadership Roles: Aim for leadership or managerial roles within your organization, which often come with higher compensation.

Educational Requirements

Most AI/ML/Data Science roles require at least a bachelor's degree in a related field such as computer science, data science, mathematics, or statistics. However, many employers prefer candidates with a master's degree or higher, especially for more advanced positions. A strong foundation in mathematics, particularly in linear algebra, calculus, and probability, is essential.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your commitment to the field. 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 you stand out in a competitive job market and may lead to better job opportunities and higher salaries.

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 data visualization tools, SQL, and data warehousing is often required. For more advanced roles, experience in developing and deploying machine learning models, as well as working with big data technologies like Hadoop or Spark, is highly desirable.

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