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

Salary details

The average entry-level / junior Business Analyst salary lies between USD 75,000 and USD 128,544 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

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

The three most common job tag items assiciated with entry-level / junior Business Analyst job listings are SQL, Python and Data analysis. 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 | 257 jobs Python | 238 jobs Data analysis | 143 jobs Engineering | 134 jobs Excel | 129 jobs Power BI | 128 jobs Statistics | 124 jobs Tableau | 120 jobs Agile | 112 jobs Computer Science | 111 jobs R | 108 jobs Finance | 101 jobs Testing | 88 jobs Data Analytics | 85 jobs Mathematics | 74 jobs Research | 73 jobs Data visualization | 72 jobs Machine Learning | 71 jobs Economics | 65 jobs Data management | 65 jobs

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

The three most common job benefits and perks assiciated with entry-level / junior Business 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 | 203 jobs Health care | 115 jobs Flex hours | 99 jobs Team events | 60 jobs Startup environment | 56 jobs Equity / stock options | 54 jobs Insurance | 54 jobs Competitive pay | 52 jobs Medical leave | 37 jobs Flex vacation | 36 jobs Parental leave | 32 jobs Salary bonus | 30 jobs Wellness | 25 jobs Relocation support | 22 jobs 401(k) matching | 16 jobs Transparency | 12 jobs Fitness / gym | 11 jobs Flexible spending account | 10 jobs Gear | 8 jobs Yoga | 7 jobs

Salary Composition

The salary for an entry-level or junior business analyst in AI/ML/Data Science typically consists of a base salary, performance bonuses, and sometimes additional remuneration such as stock options or benefits. 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 policies and the individual's performance. Additional remuneration might include stock options, especially in tech companies or startups, and benefits like health insurance, retirement plans, and paid time off.

The composition of the salary can vary based on several factors:

• Region: Salaries in tech hubs like San Francisco, New York, or Seattle tend to be higher due to the cost of living and demand for tech talent.
• Industry: Industries such as finance, healthcare, and technology often offer higher salaries compared to non-profit or government sectors.
• Company Size: Larger companies may offer more comprehensive benefits and bonuses, while startups might offer equity as part of the compensation package.

Steps to Increase Salary

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

• Skill Development: Continuously improve your technical skills, such as proficiency in programming languages (Python, R), data analysis tools, and machine learning frameworks.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive and open up higher-paying opportunities.
• Networking: Build a strong professional network by attending industry conferences, joining relevant online communities, and connecting with peers and mentors.
• Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your value to the organization.
• Seek Promotions: Look for opportunities within your company to move into more senior roles or specialized positions that offer higher pay.

Educational Requirements

Most entry-level business analyst positions in AI/ML/Data Science require at least a bachelor's degree. Common fields of study include:

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

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

Helpful Certifications

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

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

These certifications can provide you with a competitive edge and validate your expertise in specific areas of data science and analytics.

Required Experience

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

• Internships or co-op programs in relevant fields
• Academic projects or research involving data analysis or machine learning
• Participation in hackathons or data competitions
• Relevant coursework or online projects that demonstrate your skills

While direct work experience may not be extensive, demonstrating your ability to apply theoretical knowledge in practical scenarios is crucial.

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