BI Analyst Salary in United States during 2024

Salary details

The average BI Analyst salary lies between USD 80,000 and USD 132,500 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: Dec. 22, 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, Power BI and Business Intelligence. 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:

SQL | 348 jobs Power BI | 296 jobs Business Intelligence | 244 jobs Tableau | 206 jobs Data analysis | 193 jobs Python | 170 jobs Excel | 155 jobs Statistics | 139 jobs Data Analytics | 126 jobs Data visualization | 126 jobs Engineering | 121 jobs Finance | 120 jobs Computer Science | 113 jobs ETL | 111 jobs Security | 98 jobs Agile | 93 jobs R | 89 jobs Data quality | 82 jobs Azure | 81 jobs Research | 78 jobs

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, 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:

Career development | 234 jobs Health care | 121 jobs Flex hours | 98 jobs Competitive pay | 84 jobs Team events | 81 jobs Startup environment | 69 jobs Medical leave | 49 jobs Insurance | 49 jobs Equity / stock options | 46 jobs Salary bonus | 46 jobs Flex vacation | 42 jobs Parental leave | 38 jobs 401(k) matching | 23 jobs Wellness | 20 jobs Relocation support | 10 jobs Home office stipend | 8 jobs Flexible spending account | 7 jobs Gear | 6 jobs Transparency | 6 jobs Lunch / meals | 5 jobs

Salary Composition

In the United States, the salary composition for a BI Analyst in AI/ML/Data Science typically includes a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. Additional remuneration, like stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. Larger companies may offer more comprehensive benefits packages, while smaller companies might provide higher equity stakes.

Steps to Increase Salary

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

• Skill Enhancement: Acquire advanced skills in machine learning, data engineering, or data architecture. Proficiency in programming languages like Python or R, and tools like TensorFlow or PyTorch, can be beneficial.
• Advanced Education: Pursue a master's degree or specialized certifications in data science or AI.
• 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 often come with higher pay.
• Industry Shift: Consider moving to industries with higher pay scales for data professionals, such as finance or healthcare.

Educational Requirements

Most BI Analyst roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, statistics, mathematics, or information technology. A master's degree in data science, business analytics, or a related field can be advantageous and is often preferred by employers for more advanced positions.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise. Some valuable certifications include:

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

These certifications can help you stand out in the job market and may lead to higher salary offers.

Required Experience

Typically, a BI Analyst in AI/ML/Data Science is expected to have 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools (like Tableau or Power BI), SQL, and statistical analysis is often required. Experience in AI/ML projects or familiarity with data science methodologies can be a significant advantage.

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