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

Salary details

The average senior-level / expert Analyst salary lies between USD 90,000 and USD 149,000 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: Dec. 22, 2024

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

The three most common job tag items assiciated with senior-level / expert Analyst job listings are SQL, Python and Statistics. 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 | 6068 jobs Python | 4992 jobs Statistics | 4116 jobs Tableau | 3662 jobs Data analysis | 3477 jobs Engineering | 3318 jobs Excel | 2851 jobs Power BI | 2662 jobs R | 2591 jobs Computer Science | 2285 jobs Data Analytics | 2277 jobs Research | 2225 jobs Finance | 2200 jobs Data visualization | 2152 jobs Mathematics | 2115 jobs Testing | 2080 jobs Data quality | 1787 jobs Business Intelligence | 1759 jobs Machine Learning | 1735 jobs Data management | 1464 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert 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 | 5093 jobs Health care | 3461 jobs Flex hours | 2250 jobs Competitive pay | 2161 jobs Equity / stock options | 1870 jobs Startup environment | 1707 jobs Insurance | 1665 jobs Team events | 1636 jobs Flex vacation | 1463 jobs Medical leave | 1400 jobs Parental leave | 1317 jobs Salary bonus | 1290 jobs Wellness | 1063 jobs 401(k) matching | 886 jobs Transparency | 437 jobs Fitness / gym | 328 jobs Home office stipend | 270 jobs Unlimited paid time off | 226 jobs Gear | 224 jobs Relocation support | 221 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Analyst in AI/ML/Data Science typically includes a base salary, performance 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%. Performance bonuses can vary significantly, often comprising 10% to 20% of the total compensation, depending on individual and company performance. Additional remuneration, such as stock options, can be a significant part of the package in larger tech firms or startups, sometimes making 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 markets. Industry-wise, tech companies, finance, and healthcare often offer higher compensation packages compared to academia or government roles.

Increasing Salary

To increase your salary further from a Senior-level position, consider the following strategies:

• Specialization: Develop expertise in a niche area of AI/ML, such as natural language processing, computer vision, or reinforcement learning, which can command higher salaries.
• Leadership Roles: Transition into managerial or leadership roles, such as a Data Science Manager or Director of AI, which typically offer higher compensation.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML through courses, workshops, and conferences.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most Senior-level or Expert Analyst positions in AI/ML/Data Science require at least a master's degree in a related field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. is often preferred, especially for roles that involve research or developing new algorithms. The educational background should include a strong foundation in programming, data structures, algorithms, and statistical analysis.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can validate your skills in specific tools and platforms, making you more attractive to potential employers.

Experience Requirements

Typically, a Senior-level or Expert Analyst role requires 5 to 10 years of experience in data science or a related field. This experience should include hands-on work with machine learning models, data analysis, and statistical methods. Experience in leading projects, mentoring junior team members, and collaborating with cross-functional teams is also highly valued.

Related salaries

Want to contribute?