Salary for Senior-level / Expert Business Intelligence Analyst in United States during 2023

Salary details

The average senior-level / expert Business Intelligence Analyst salary lies between USD 110,200 and USD 176,838 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 Senior-level / Expert Business Intelligence Analyst roles

The three most common job tag items assiciated with senior-level / expert Business Intelligence Analyst job listings are Business Intelligence, SQL and Tableau. 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:

Business Intelligence | 113 jobs SQL | 101 jobs Tableau | 83 jobs Python | 45 jobs Data visualization | 45 jobs Power BI | 43 jobs Engineering | 42 jobs Looker | 36 jobs Data analysis | 36 jobs Statistics | 35 jobs Excel | 34 jobs Finance | 31 jobs Computer Science | 31 jobs ETL | 30 jobs Data Analytics | 24 jobs Data warehouse | 24 jobs Snowflake | 23 jobs Data quality | 23 jobs R | 21 jobs AWS | 21 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Business Intelligence Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert Business Intelligence Analyst job listings are Career development, Flex hours 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:

Career development | 65 jobs Flex hours | 39 jobs Health care | 38 jobs Flex vacation | 35 jobs Startup environment | 35 jobs Competitive pay | 34 jobs Team events | 32 jobs Equity / stock options | 28 jobs Salary bonus | 21 jobs Wellness | 18 jobs Parental leave | 17 jobs Home office stipend | 17 jobs Medical leave | 15 jobs Insurance | 14 jobs 401(k) matching | 8 jobs Yoga | 6 jobs Gear | 5 jobs Unlimited paid time off | 5 jobs Transparency | 4 jobs Paid sabbatical | 4 jobs

Salary Composition

The salary for a Senior-level/Expert Business Intelligence Analyst in the AI/ML/Data Science field typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses and stock options might be more substantial compared to other areas. Larger companies or those in high-demand industries like tech or finance may offer more competitive packages, including comprehensive benefits and stock options, compared to smaller firms or those in less competitive markets.

Increasing Salary

To increase your salary from this position, consider pursuing advanced roles such as a Data Science Manager or Director of Analytics. These roles often come with higher compensation and more strategic responsibilities. Additionally, specializing in high-demand areas like machine learning engineering or AI ethics can make you more valuable. Networking within industry circles, attending conferences, and publishing in reputable journals can also enhance your profile. Negotiating your salary based on market research and leveraging offers from other companies can be effective strategies as well.

Educational Requirements

Most Senior-level/Expert Business Intelligence Analyst positions require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Business Administration. However, a master's degree or even a Ph.D. can be advantageous, especially in competitive markets or for roles with a strong emphasis on data science and machine learning. Advanced degrees often provide deeper technical knowledge and analytical skills, which are crucial for higher-level positions.

Helpful Certifications

Certifications can bolster your credentials and demonstrate expertise in specific areas. Some valuable certifications include:

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills and knowledge, making you a more attractive candidate for senior roles.

Required Experience

Typically, a Senior-level/Expert Business Intelligence Analyst is expected to have at least 5-10 years of experience in data analysis, business intelligence, or a related field. This experience should include a proven track record of using data to drive business decisions, proficiency in data visualization tools, and familiarity with data warehousing and ETL processes. Experience in leading projects or teams and a strong understanding of industry-specific data challenges can also be crucial.

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