Salary for Senior-level / Expert Business Analyst in United States during 2024

💰 The median Salary for Senior-level / Expert Business Analyst in United States during 2024 is USD 135,391

✏️ This salary info is based on 58 individual salaries reported during 2024

Submit your salary Download the data

Salary details

The average senior-level / expert Business Analyst salary lies between USD 110,000 and USD 167,538 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.

Job title
Business Analyst
Experience
Senior-level / Expert
Region
United States
Salary year
2024
Sample size
58
Top 10%
$ 202,000
Top 25%
$ 167,538
Median
$ 135,391
Bottom 25%
$ 110,000
Bottom 10%
$ 91,000

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:

Top 20 Job Tags for Senior-level / Expert Business Analyst roles

The three most common job tag items assiciated with senior-level / expert 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 | 154 jobs Python | 133 jobs Engineering | 107 jobs Statistics | 96 jobs Tableau | 90 jobs Power BI | 83 jobs Computer Science | 81 jobs Excel | 79 jobs Data analysis | 72 jobs R | 66 jobs Testing | 64 jobs Data Analytics | 58 jobs ETL | 57 jobs Data visualization | 57 jobs Mathematics | 56 jobs Agile | 52 jobs Finance | 51 jobs Data management | 50 jobs Business Intelligence | 47 jobs Machine Learning | 46 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Business Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 131 jobs Health care | 75 jobs Flex hours | 49 jobs Startup environment | 44 jobs Equity / stock options | 43 jobs Medical leave | 43 jobs Competitive pay | 37 jobs Insurance | 34 jobs Team events | 33 jobs Parental leave | 31 jobs Flex vacation | 26 jobs Wellness | 24 jobs Salary bonus | 24 jobs Transparency | 17 jobs 401(k) matching | 15 jobs Relocation support | 7 jobs Gear | 5 jobs Travel | 4 jobs Flexible spending account | 4 jobs Fitness / gym | 3 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Business Analyst in AI/ML/Data Science typically includes a combination of a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The 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 contributions, usually accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can make up 5% to 15% of 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 competitive job market. Industry-wise, tech and finance sectors often offer higher compensation compared to healthcare or manufacturing.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

  • Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or AI ethics can make you more valuable.
  • Leadership Roles: Transition into leadership or managerial roles, such as a Data Science Manager or Director of Analytics, which typically offer higher salaries.
  • Networking: Build a strong professional network within the industry. Attend conferences, webinars, and workshops to connect with industry leaders and peers.
  • Certifications: Obtain advanced certifications in AI/ML or data science to demonstrate your expertise and commitment to the field.
  • Negotiation: Leverage your experience and achievements during salary negotiations, whether for a raise in your current role or when considering new job offers.

Educational Requirements

Most Senior-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. However, a master’s degree or even a Ph.D. is often preferred, especially for roles that involve complex data analysis and strategic decision-making. Advanced degrees provide a deeper understanding of analytical techniques and business acumen, which are crucial for this role.

Helpful Certifications

Several certifications can enhance your qualifications for this role:

  • Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
  • Google Professional Data Engineer: Demonstrates your skills in designing, building, and operationalizing data processing systems.
  • AWS Certified Machine Learning – Specialty: Focuses on building, training, and deploying machine learning models on AWS.
  • Microsoft Certified: Azure Data Scientist Associate: Validates your expertise in applying data science and machine learning to implement and run machine learning workloads on Azure.

Required Experience

Typically, a Senior-level Business Analyst in AI/ML/Data Science is expected to have at least 5 to 10 years of experience in data analysis, business intelligence, or a related field. Experience in leading projects, managing teams, and working with cross-functional stakeholders is highly valued. Familiarity with AI/ML tools and platforms, as well as a proven track record of using data to drive business decisions, is essential.

Related salaries

Business Analyst @ $ 110,000 (global) Details
Business Analyst @ $ 93,200 (global) - Mid-level / Intermediate Details
Business Analyst @ $ 134,000 (global) - Senior-level / Expert Details
Business Analyst @ $ 98,592 (global) - Entry-level / Junior Details
Business Analyst @ $ 93,200 (United States) - Mid-level / Intermediate Details
Business Analyst @ $ 110,000 (United States) Details
Business Analyst @ $ 99,900 (United States) - Entry-level / Junior Details

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 frontpage

About 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.