Salary for Mid-level / Intermediate Business Intelligence Analyst in United States during 2023

Salary details

The average mid-level / intermediate Business Intelligence Analyst salary lies between USD 96,000 and USD 130,000 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 Mid-level / Intermediate Business Intelligence Analyst roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 53 jobs SQL | 43 jobs Tableau | 34 jobs Statistics | 27 jobs Data visualization | 25 jobs Python | 23 jobs Power BI | 23 jobs Data Analytics | 22 jobs Data analysis | 20 jobs Computer Science | 20 jobs ETL | 18 jobs Excel | 17 jobs Mathematics | 17 jobs Data quality | 17 jobs Data Warehousing | 12 jobs Finance | 11 jobs KPIs | 11 jobs R | 10 jobs AWS | 10 jobs Research | 10 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Business Intelligence Analyst roles

The three most common job benefits and perks assiciated with mid-level / intermediate Business Intelligence 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 2023 and the number of open jobs that where offering them during that period:

Career development | 28 jobs Health care | 26 jobs Flex hours | 16 jobs Competitive pay | 16 jobs Team events | 16 jobs Insurance | 14 jobs Flex vacation | 13 jobs Medical leave | 13 jobs 401(k) matching | 12 jobs Startup environment | 12 jobs Wellness | 11 jobs Equity / stock options | 10 jobs Parental leave | 10 jobs Salary bonus | 10 jobs Home office stipend | 6 jobs Yoga | 3 jobs Cell phone stipend | 3 jobs Fitness / gym | 2 jobs Conferences | 2 jobs Snacks / Drinks | 2 jobs

Salary Composition

The salary for a Mid-level Business Intelligence Analyst in the AI/ML/Data Science field typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration, like stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations, especially in finance or healthcare, profit-sharing or other incentives might be offered. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York are generally higher compared to other regions.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing a master's degree or an MBA with a focus on data science or business analytics can open up higher-paying roles.
• Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
• Leadership Roles: Aim for roles that involve team leadership or project management, as these often come with higher pay.
• Switching Industries: Some industries, like finance or tech, tend to offer higher salaries for similar roles compared to others.

Educational Requirements

Most mid-level Business Intelligence Analyst positions require at least a bachelor's degree in a related field such as Computer Science, Information Systems, Statistics, or Business Administration. A strong foundation in mathematics and statistics is often essential. Some employers may prefer candidates with a master's degree, especially in data science or analytics, as it demonstrates a deeper understanding of the field.

Helpful Certifications

Certifications can enhance your resume and demonstrate your commitment to professional development. Some valuable certifications include:

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Data Analyst Associate
• Tableau Desktop Specialist
• AWS Certified Data Analytics – Specialty
• Google Data Analytics Professional Certificate

These certifications can help validate your skills and make you more competitive in the job market.

Required Experience

Typically, a mid-level Business Intelligence Analyst is expected to have 3-5 years of experience in a related role. This experience should include hands-on work with data analysis, reporting, and using BI tools like Tableau, Power BI, or Qlik. Experience in data modeling, SQL, and understanding of data warehousing concepts is also often required. Demonstrated experience in translating business needs into technical solutions is highly valued.

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