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

Salary details

The average entry-level / junior Business Intelligence Analyst salary lies between USD 78,000 and USD 128,000 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: Dec. 22, 2024

Salary trend

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

The three most common job tag items assiciated with entry-level / junior Business Intelligence Analyst 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 | 406 jobs SQL | 315 jobs Power BI | 238 jobs Python | 211 jobs Tableau | 201 jobs Statistics | 186 jobs Excel | 162 jobs Data analysis | 139 jobs Computer Science | 121 jobs Engineering | 119 jobs R | 108 jobs Data visualization | 107 jobs Data Analytics | 96 jobs Research | 94 jobs Mathematics | 86 jobs Finance | 74 jobs Security | 73 jobs ETL | 70 jobs Economics | 65 jobs KPIs | 61 jobs

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

The three most common job benefits and perks assiciated with entry-level / junior 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 2024 and the number of open jobs that where offering them during that period:

Career development | 205 jobs Health care | 134 jobs Flex hours | 111 jobs Competitive pay | 103 jobs Equity / stock options | 80 jobs Flex vacation | 61 jobs Salary bonus | 61 jobs Insurance | 60 jobs Startup environment | 58 jobs Team events | 50 jobs Parental leave | 48 jobs Medical leave | 39 jobs Wellness | 36 jobs 401(k) matching | 28 jobs Fitness / gym | 21 jobs Relocation support | 21 jobs Transparency | 14 jobs Gear | 10 jobs Flexible spending account | 10 jobs Home office stipend | 8 jobs

Salary Composition

The salary for an entry-level or junior Business Intelligence Analyst in the AI/ML/Data Science field typically consists of a base salary, performance bonuses, and sometimes 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 performance and individual achievements. Additional remuneration like stock options is more common in tech companies, especially startups, and can be a significant part of the compensation in larger tech hubs like Silicon Valley. In terms of regional differences, salaries tend to be higher in major metropolitan areas such as San Francisco, New York, and Seattle due to the higher cost of living and competitive job markets. Industry-wise, tech companies and financial services often offer higher compensation compared to other sectors.

Career Advancement

To increase your salary from an entry-level position, consider gaining specialized skills or certifications that are in high demand, such as expertise in specific data analysis tools or programming languages like Python or R. Pursuing a master's degree in data science or a related field can also enhance your qualifications and open up opportunities for higher-level positions. Networking within the industry and seeking mentorship can provide insights into career advancement opportunities. Additionally, gaining experience in managing projects or leading teams can position you for roles with greater responsibility and higher pay, such as a Senior Business Intelligence Analyst or Data Scientist.

Educational Requirements

Most entry-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. Some roles may accept degrees in other fields if the candidate has relevant skills or experience. A strong foundation in mathematics and statistics is often essential, as is proficiency in data analysis and visualization tools.

Helpful Certifications

Certifications can enhance your resume and demonstrate your commitment to the field. Some valuable certifications include:

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

These certifications can help validate your skills in data analysis, visualization, and business intelligence tools, making you a more competitive candidate.

Experience Requirements

For an entry-level position, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant project work during your studies. Experience with data analysis tools like SQL, Excel, Tableau, or Power BI is often required. Familiarity with programming languages such as Python or R can also be beneficial. While direct work experience in a similar role is ideal, demonstrating your ability to analyze data and generate insights through academic projects or personal initiatives can also be valuable.

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