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

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.

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. 3, 2024

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 | 140 jobs Python | 120 jobs Engineering | 100 jobs Statistics | 88 jobs Tableau | 82 jobs Power BI | 78 jobs Computer Science | 74 jobs Excel | 72 jobs Testing | 62 jobs R | 61 jobs Data analysis | 61 jobs Data Analytics | 54 jobs Mathematics | 54 jobs Data visualization | 51 jobs ETL | 50 jobs Finance | 49 jobs Agile | 49 jobs Data management | 47 jobs Machine Learning | 44 jobs Research | 43 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 | 127 jobs Health care | 68 jobs Flex hours | 45 jobs Equity / stock options | 39 jobs Startup environment | 39 jobs Medical leave | 39 jobs Competitive pay | 35 jobs Team events | 32 jobs Insurance | 30 jobs Parental leave | 27 jobs Flex vacation | 25 jobs Salary bonus | 23 jobs Wellness | 22 jobs Transparency | 17 jobs 401(k) matching | 14 jobs Relocation support | 7 jobs Gear | 5 jobs Travel | 4 jobs Flexible spending account | 4 jobs Home office stipend | 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.

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