Salary for Mid-level / Intermediate BI Analyst in United States during 2024

Salary details

The average mid-level / intermediate BI Analyst salary lies between USD 79,000 and USD 142,300 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 Mid-level / Intermediate BI Analyst roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 63 jobs Power BI | 54 jobs Business Intelligence | 41 jobs Data analysis | 41 jobs Tableau | 35 jobs ETL | 29 jobs Python | 28 jobs Data visualization | 27 jobs Engineering | 26 jobs Computer Science | 26 jobs Data Analytics | 25 jobs Excel | 25 jobs Statistics | 20 jobs Consulting | 17 jobs Data Warehousing | 16 jobs AWS | 16 jobs Research | 16 jobs Security | 16 jobs Finance | 15 jobs Azure | 15 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate BI Analyst job listings are Career development, Health care and Team events. 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 | 47 jobs Health care | 33 jobs Team events | 23 jobs Flex hours | 20 jobs Competitive pay | 18 jobs Salary bonus | 18 jobs Startup environment | 12 jobs Medical leave | 12 jobs Parental leave | 11 jobs Insurance | 11 jobs Equity / stock options | 9 jobs Flex vacation | 6 jobs Snacks / Drinks | 4 jobs Flexible spending account | 4 jobs Wellness | 3 jobs Fitness / gym | 3 jobs Fertility benefits | 2 jobs 401(k) matching | 1 jobs Flat hierarchy | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

In the United States, the salary composition for a mid-level/intermediate 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 often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, usually accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 10% of the package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or a Ph.D. in data science, computer science, or a related field can open doors to higher-paying roles.
• Leadership Roles: Transitioning into managerial or leadership positions can significantly boost your salary. This might involve leading a team of analysts or managing projects.
• Industry Change: Some industries, such as finance or healthcare, may offer higher salaries for AI/ML roles due to the complexity and impact of the work.
• Networking and Visibility: Attend industry conferences, contribute to open-source projects, or publish research to increase your visibility and network with industry leaders.

Educational Requirements

Most mid-level BI Analyst roles in AI/ML/Data Science require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. However, a master's degree is increasingly preferred, especially for roles that involve complex data modeling and machine learning tasks. Some positions may also value interdisciplinary degrees that combine business acumen with technical skills.

Helpful Certifications

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

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

These certifications can validate your skills in specific tools and platforms, making you more competitive in the job market.

Required Experience

Typically, a mid-level BI Analyst in AI/ML/Data Science is expected to have 3 to 5 years of relevant experience. This experience should include hands-on work with data analysis, machine learning models, and business intelligence tools. Experience in specific industries or with particular data types can also be advantageous.

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