Business Analyst Salary in United States during 2024

Salary details

The average Business Analyst salary lies between USD 85,000 and USD 145,000 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. 10, 2024

Top 20 Job Tags for Business Analyst roles

The three most common job tag items assiciated with Business Analyst job listings are SQL, Python and Engineering. 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 | 416 jobs Python | 376 jobs Engineering | 241 jobs Statistics | 228 jobs Tableau | 225 jobs Data analysis | 224 jobs Power BI | 216 jobs Excel | 212 jobs Computer Science | 193 jobs R | 180 jobs Testing | 160 jobs Agile | 159 jobs Finance | 148 jobs Data Analytics | 147 jobs Data visualization | 132 jobs Mathematics | 127 jobs Machine Learning | 123 jobs Research | 120 jobs Data management | 118 jobs ETL | 117 jobs

Top 20 Job Perks/Benefits for Business Analyst roles

The three most common job benefits and perks assiciated with 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 | 350 jobs Health care | 204 jobs Flex hours | 139 jobs Startup environment | 103 jobs Team events | 94 jobs Equity / stock options | 93 jobs Competitive pay | 90 jobs Insurance | 90 jobs Medical leave | 79 jobs Parental leave | 66 jobs Flex vacation | 65 jobs Salary bonus | 52 jobs Wellness | 51 jobs 401(k) matching | 35 jobs Transparency | 34 jobs Relocation support | 33 jobs Gear | 16 jobs Fitness / gym | 14 jobs Flexible spending account | 14 jobs Travel | 10 jobs

Salary Composition

The salary for a Business Analyst in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually forms the bulk of the total compensation package. Performance bonuses are often tied to individual, team, or company performance metrics and can vary significantly. Additional remuneration might include benefits like health insurance, retirement contributions, and sometimes equity in the company, especially in tech startups or larger tech firms.

The composition can vary based on several factors:

• Region: Salaries in tech hubs like Silicon Valley, New York, or Seattle tend to be higher due to the cost of living and demand for talent.
• Industry: Tech companies, financial services, and consulting firms often offer higher compensation packages compared to other industries.
• Company Size: Larger companies may offer more comprehensive benefits and bonuses, while startups might offer equity as a significant part of the compensation.

Steps to Increase Salary

To increase your salary from a Business Analyst position, consider the following strategies:

• Skill Enhancement: Acquire advanced skills in data analysis, machine learning, or AI tools. Proficiency in programming languages like Python or R can be particularly valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive.
• Networking: Build a strong professional network to learn about new opportunities and industry trends.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions or raises.
• Negotiation: Develop strong negotiation skills to effectively advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most Business Analyst roles in AI/ML/Data Science require at least a bachelor's degree. Common fields of study include:

• Computer Science
• Data Science
• Statistics
• Mathematics
• Business Administration

A master's degree in a related field can be advantageous and is sometimes preferred by employers, especially for more senior roles.

Helpful Certifications

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

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• IBM Data Science Professional Certificate
• SAS Certified Data Scientist

These certifications can help validate your skills and knowledge in data science and analytics.

Experience Requirements

Typically, employers look for candidates with 2-5 years of experience in a related field. Experience in data analysis, business intelligence, or a similar role is often required. Familiarity with AI/ML tools and methodologies is highly beneficial. Experience in specific industries, such as finance or healthcare, can also be advantageous depending on the job.

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