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

Salary details

The average mid-level / intermediate Business Analyst salary lies between USD 60,000 and USD 100,000 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 Mid-level / Intermediate Business Analyst roles

The three most common job tag items assiciated with mid-level / intermediate Business Analyst job listings are Python, SQL 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:

Python | 54 jobs SQL | 53 jobs Data analysis | 42 jobs Tableau | 35 jobs Statistics | 33 jobs Engineering | 29 jobs Excel | 29 jobs R | 26 jobs Power BI | 26 jobs Data Analytics | 20 jobs Computer Science | 20 jobs Business Intelligence | 18 jobs Data visualization | 18 jobs Testing | 17 jobs Machine Learning | 16 jobs Data management | 16 jobs Research | 15 jobs Finance | 14 jobs Agile | 13 jobs Data quality | 13 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Business Analyst job listings are Career development, Health care and Startup environment. 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 | 48 jobs Health care | 29 jobs Startup environment | 14 jobs Insurance | 13 jobs Equity / stock options | 9 jobs Parental leave | 9 jobs Wellness | 9 jobs Competitive pay | 9 jobs Team events | 9 jobs Medical leave | 9 jobs Flex hours | 8 jobs Flex vacation | 6 jobs 401(k) matching | 5 jobs Relocation support | 4 jobs Salary bonus | 4 jobs Travel | 3 jobs Gear | 3 jobs Fitness / gym | 3 jobs Transparency | 3 jobs Yoga | 2 jobs

Salary Composition

The salary for a Mid-level/Intermediate Business Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the most significant component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary widely, ranging from 10-20% of the base salary, depending on individual and company performance. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can add another 5-10% to the total compensation. 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 demand for talent. Industry variations are also notable, with finance and tech sectors typically offering higher compensation compared to healthcare or manufacturing.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in data science or business analytics. Gaining expertise in high-demand areas like machine learning, artificial intelligence, or big data analytics can make you more valuable to employers. Additionally, taking on leadership roles or projects that demonstrate your ability to drive business value through data can position you for promotions or salary negotiations. Networking within industry groups and attending relevant conferences can also open up opportunities for higher-paying roles.

Educational Requirements

Most mid-level business analyst positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, statistics, or business administration. Some employers may prefer candidates with a master's degree, especially for roles that involve more complex data analysis or strategic decision-making. A strong foundation in mathematics and statistics is often essential, as is proficiency in programming languages like Python or R.

Helpful Certifications

Several certifications can enhance your qualifications for a business analyst role in AI/ML/Data Science. The Certified Analytics Professional (CAP) is widely recognized and covers a broad range of analytics skills. The Microsoft Certified: Azure Data Scientist Associate and Google Professional Data Engineer certifications are also valuable, especially if you are working with cloud-based data solutions. Additionally, certifications in specific tools or platforms, such as Tableau or SAS, can be beneficial depending on the job requirements.

Required Experience

Typically, a mid-level business analyst in this field is expected to have 3-5 years of relevant experience. This experience should include working with data analysis, business intelligence, or data-driven decision-making. Experience in a specific industry can also be advantageous, as it provides context for the data and business challenges you will encounter. Demonstrated experience in managing projects or leading teams can further strengthen your candidacy.

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