BI Analyst Salary in United States during 2023

💰 The median BI Analyst Salary in United States during 2023 is USD 135,000

✏️ This salary info is based on 26 individual salaries reported during 2023

Salary details

The average BI Analyst salary lies between USD 110,000 and USD 160,000 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 Analyst

Experience: all levels

Region: United States

Salary year: 2023

Sample size: 26

Top 10%: $ 202,000

Top 25%: $ 160,000

Median: $ 135,000

Bottom 25%: $ 110,000

Bottom 10%: $ 86,100

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 Analyst roles

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

Top 20 Job Perks/Benefits for BI Analyst roles

The three most common job benefits and perks assiciated with BI Analyst job listings are Career development, Startup environment and Health care. 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:

Salary Composition

In the United States, the salary composition for a BI Analyst transitioning into AI/ML/Data Science roles can vary significantly based on region, industry, and company size. Typically, the salary is composed of a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing.

Base Salary: This is the fixed component and usually constitutes the majority of the total 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: Performance bonuses are common and can range from 10% to 20% of the base salary, depending on individual and company performance.
Additional Remuneration: This can include stock options, especially in tech companies or startups, and other benefits like health insurance, retirement plans, and sometimes even relocation assistance.

Steps to Increase Salary

To increase your salary further from a BI Analyst position, consider the following strategies:

Skill Enhancement: Continuously upgrade your skills in AI/ML through online courses, workshops, and certifications. Specializing in a niche area like deep learning or natural language processing can make you more valuable.
Advanced Education: Pursuing a master's degree or Ph.D. in data science, computer science, or a related field can open up higher-paying opportunities.
Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
Leadership Roles: Aim for leadership or managerial roles within your organization, which typically come with higher pay.

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 is often preferred and can significantly enhance your prospects. Some roles may even require a Ph.D., especially in research-intensive positions.

Helpful Certifications

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

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

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

Required Experience

Typically, employers look for candidates with 3-5 years of experience in data analysis, business intelligence, or a related field. Experience with data modeling, statistical analysis, and familiarity with AI/ML tools and frameworks (such as TensorFlow, PyTorch, or Scikit-learn) is highly desirable. Experience in handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud is also beneficial.

Related salaries

BI Analyst @ $ 130,800 (global) - Senior-level / Expert Details

BI Analyst @ $ 140,000 (global) - Mid-level / Intermediate Details

BI Analyst @ $ 135,000 (global) Details

BI Analyst @ $ 132,900 (United States) - Senior-level / Expert Details

BI Analyst @ $ 140,000 (United States) - Mid-level / Intermediate Details

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