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

Salary details

The average senior-level / expert Analyst salary lies between USD 95,000 and USD 150,000 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 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 | 5079 jobs Python | 4168 jobs Statistics | 3439 jobs Tableau | 3099 jobs Data analysis | 2848 jobs Engineering | 2823 jobs Excel | 2411 jobs Power BI | 2209 jobs R | 2152 jobs Research | 1910 jobs Data Analytics | 1910 jobs Computer Science | 1898 jobs Finance | 1836 jobs Data visualization | 1779 jobs Testing | 1772 jobs Mathematics | 1768 jobs Business Intelligence | 1533 jobs Data quality | 1491 jobs Machine Learning | 1453 jobs Economics | 1217 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 | 4267 jobs Health care | 2903 jobs Flex hours | 1903 jobs Competitive pay | 1824 jobs Equity / stock options | 1583 jobs Startup environment | 1484 jobs Team events | 1379 jobs Insurance | 1376 jobs Flex vacation | 1242 jobs Medical leave | 1152 jobs Salary bonus | 1125 jobs Parental leave | 1088 jobs Wellness | 910 jobs 401(k) matching | 747 jobs Transparency | 354 jobs Fitness / gym | 279 jobs Home office stipend | 237 jobs Gear | 196 jobs Unlimited paid time off | 191 jobs Relocation support | 189 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.

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