Salary for Entry-level / Junior Business Intelligence in United States during 2024

Salary details

The average entry-level / junior Business Intelligence salary lies between USD 70,000 and USD 106,029 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. 24, 2024

Top 20 Job Tags for Entry-level / Junior Business Intelligence roles

The three most common job tag items assiciated with entry-level / junior Business Intelligence job listings are Business Intelligence, SQL and Power BI. 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:

Business Intelligence | 843 jobs SQL | 593 jobs Power BI | 482 jobs Python | 400 jobs Tableau | 376 jobs Excel | 346 jobs Statistics | 294 jobs Computer Science | 278 jobs Data analysis | 238 jobs Engineering | 233 jobs Data visualization | 204 jobs R | 201 jobs Data Analytics | 193 jobs Research | 157 jobs ETL | 150 jobs Finance | 147 jobs Mathematics | 146 jobs KPIs | 120 jobs Security | 119 jobs Testing | 103 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Business Intelligence roles

The three most common job benefits and perks assiciated with entry-level / junior Business Intelligence 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 | 410 jobs Health care | 216 jobs Flex hours | 208 jobs Competitive pay | 186 jobs Startup environment | 142 jobs Equity / stock options | 135 jobs Team events | 132 jobs Flex vacation | 103 jobs Insurance | 99 jobs Parental leave | 85 jobs Salary bonus | 84 jobs Medical leave | 78 jobs Wellness | 72 jobs Fitness / gym | 66 jobs 401(k) matching | 44 jobs Transparency | 32 jobs Relocation support | 32 jobs Gear | 24 jobs Home office stipend | 13 jobs Flexible spending account | 13 jobs

Salary Composition

In the United States, the salary composition for an entry-level or junior Business Intelligence (BI) role in AI/ML/Data Science typically includes a fixed base salary, which forms the bulk of the compensation package. The median salary of USD 79,949 is primarily the base salary. However, depending on the region, industry, and company size, additional components such as bonuses and stock options may be included.

• Region: In tech hubs like San Francisco, New York, or Seattle, companies might offer higher base salaries and more substantial bonuses to attract talent. In contrast, regions with a lower cost of living might offer a smaller base salary but could compensate with other benefits.
• Industry: Tech companies, financial services, and consulting firms often provide competitive bonuses and stock options. In contrast, non-profit or public sector roles might offer less in terms of bonuses but could provide other benefits like student loan assistance or additional vacation days.
• Company Size: Larger companies may offer more structured bonus programs and stock options, while startups might offer equity as a significant part of the compensation package to offset lower base salaries.

Steps to Increase Salary

To increase your salary from an entry-level position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your technical skills, especially in data analysis tools, programming languages like Python or R, and machine learning frameworks.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive for higher-paying roles.
• Networking: Build a strong professional network through industry events, online forums, and social media platforms like LinkedIn. Networking can open doors to new opportunities and provide insights into salary trends.
• Performance Excellence: Consistently exceed performance expectations and take on additional responsibilities to position yourself for promotions and salary increases.
• Industry Transition: Consider moving to industries that pay higher salaries for BI roles, such as finance or tech.

Educational Requirements

Most entry-level BI roles in AI/ML/Data Science require at least a bachelor's degree in a related field. Common fields of study include:

• Computer Science
• Data Science
• Statistics
• Mathematics
• Information Systems
• Business Administration with a focus on analytics

A strong foundation in quantitative and analytical skills is essential, and coursework in data management, machine learning, and programming is highly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field:

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

These certifications can validate your skills in data analysis, visualization, and the use of specific tools and platforms.

Experience Requirements

For entry-level positions, employers typically look for candidates with some practical experience, which can be gained through:

• Internships in data analysis or business intelligence
• Academic projects involving data science or machine learning
• Participation in data competitions or hackathons
• Relevant coursework or capstone projects

While direct work experience may not be extensive, demonstrating hands-on experience with data tools and methodologies is crucial.

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