Business Analyst Salary in 2024
💰 The median Business Analyst Salary in 2024 is USD 110,000
✏️ This salary info is based on 189 individual salaries reported during 2024
Salary details
The average Business Analyst salary lies between USD 80,750 and USD 135,782 globally. 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.
- Job title
- Business Analyst
- Experience
- all levels
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 189
- Top 10%
-
- Top 25%
-
- Median
-
- Bottom 25%
-
- Bottom 10%
-
All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated: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 | 521 jobs Python | 471 jobs Engineering | 306 jobs Data analysis | 295 jobs Statistics | 289 jobs Excel | 276 jobs Tableau | 270 jobs Power BI | 268 jobs Computer Science | 237 jobs R | 220 jobs Agile | 197 jobs Testing | 191 jobs Finance | 187 jobs Data Analytics | 182 jobs Mathematics | 163 jobs Data visualization | 157 jobs Research | 153 jobs Machine Learning | 148 jobs Data management | 147 jobs ETL | 140 jobsTop 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 | 434 jobs Health care | 254 jobs Flex hours | 183 jobs Startup environment | 125 jobs Competitive pay | 122 jobs Equity / stock options | 117 jobs Insurance | 116 jobs Team events | 112 jobs Medical leave | 105 jobs Parental leave | 89 jobs Flex vacation | 84 jobs Salary bonus | 68 jobs Wellness | 62 jobs 401(k) matching | 43 jobs Transparency | 39 jobs Relocation support | 37 jobs Fitness / gym | 19 jobs Gear | 17 jobs Flexible spending account | 15 jobs Unlimited paid time off | 12 jobsSalary Composition for a Business Analyst in AI/ML/Data Science
The salary composition for a Business Analyst in AI/ML/Data Science typically includes a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The fixed base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Bonuses can vary significantly depending on the company's performance and individual achievements, usually accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can make up the remaining 5% to 10%.
Regional differences play a significant role in salary composition. For instance, salaries in tech hubs like San Francisco or New York tend to be higher due to the cost of living and demand for skilled professionals. Industry also impacts salary; tech companies and financial services often offer more competitive packages compared to other sectors. Company size can influence salary as well, with larger companies typically providing more substantial bonuses and stock options.
Steps to Increase Salary from This Position
To increase your salary from a Business Analyst position in AI/ML/Data Science, consider the following strategies:
- Skill Enhancement: Continuously update your skills in data analysis, machine learning, and AI technologies. Proficiency in tools like Python, R, SQL, and data visualization software can make you more valuable.
- Advanced Education: Pursuing a master's degree or specialized certifications in data science or AI can open up higher-paying opportunities.
- Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities and trends.
- Leadership Roles: Aim for leadership or managerial positions within your organization, as these roles typically come with higher salaries.
- Industry Transition: Consider moving to industries that offer higher compensation for AI/ML expertise, such as finance or healthcare.
Educational Requirements
Most Business Analyst roles 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. A strong foundation in mathematics and statistics is often essential. Some positions may prefer candidates with a master's degree, especially for roles that involve complex data analysis or strategic decision-making.
Helpful Certifications
Certifications can enhance your credentials and demonstrate your expertise to potential employers. 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 provide a competitive edge and may lead to higher salary offers.
Required Experience
Typically, employers look for candidates with 2 to 5 years of experience in data analysis, business analysis, or a related field. Experience with data modeling, statistical analysis, and familiarity with AI/ML tools and techniques is often required. Demonstrated experience in translating business needs into data-driven solutions is highly valued.
Related salaries
Want to contribute?
📝 Submit your salary info
Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.
Go to salary survey📢 Share our salary survey
Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.
💾 Download the data
All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.
Go to download page🚀 Search for jobs & talent
If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.
Go to frontpageAbout this project
We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.
Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.