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

Salary details

The average senior-level / expert Data Analyst salary lies between USD 98,800 and USD 158,400 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: Jan. 19, 2025

Salary trend

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

The three most common job tag items assiciated with senior-level / expert Data 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 | 3735 jobs Python | 2685 jobs Statistics | 2334 jobs Tableau | 2291 jobs Data analysis | 2207 jobs Engineering | 1889 jobs Power BI | 1612 jobs Excel | 1597 jobs Data Analytics | 1505 jobs R | 1399 jobs Data visualization | 1371 jobs Computer Science | 1263 jobs Finance | 1176 jobs Mathematics | 1139 jobs Testing | 1132 jobs Research | 1122 jobs Data quality | 1038 jobs Business Intelligence | 980 jobs Machine Learning | 819 jobs Looker | 808 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data 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 | 2855 jobs Health care | 1979 jobs Flex hours | 1395 jobs Competitive pay | 1143 jobs Equity / stock options | 1093 jobs Startup environment | 1076 jobs Team events | 993 jobs Flex vacation | 942 jobs Insurance | 912 jobs Parental leave | 802 jobs Salary bonus | 759 jobs Medical leave | 736 jobs Wellness | 555 jobs 401(k) matching | 552 jobs Fitness / gym | 234 jobs Transparency | 227 jobs Home office stipend | 195 jobs Gear | 177 jobs Unlimited paid time off | 164 jobs Flexible spending account | 138 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Data Analyst in AI/ML/Data Science typically includes a combination of a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. 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, is more common in tech companies and startups, potentially making up 5% to 10% of the total package.

Regional differences can also impact salary composition. For instance, tech hubs like San Francisco or New York may offer higher base salaries and more substantial stock options due to the competitive job market. Industry also plays a role; tech and finance sectors typically offer higher compensation packages compared to healthcare or education. Company size can influence the structure as well, with larger companies often providing more comprehensive benefits and bonuses.

Increasing Salary

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

• Specialization: Develop expertise in a niche area within AI/ML, such as natural language processing or computer vision, which can command higher salaries.
• Leadership Roles: Transition into managerial or leadership roles, such as a Data Science Manager or Director of Analytics, which typically offer higher compensation.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML, and consider pursuing advanced certifications or degrees.
• Networking: Engage with professional networks and industry events to explore new opportunities and gain insights into market trends.
• Negotiation Skills: Enhance your negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.

Educational Requirements

Most Senior-level Data Analyst positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex data modeling and machine learning tasks. Advanced degrees can provide a deeper understanding of theoretical concepts and practical applications, making candidates more competitive in the job market.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate expertise to potential employers. Some valuable certifications include:

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

Required Experience

Typically, a Senior-level Data Analyst role requires 5 to 10 years of experience in data analysis, with a strong background in statistical analysis, data visualization, and machine learning techniques. Experience in handling large datasets, proficiency in programming languages like Python or R, and familiarity with data manipulation tools such as SQL are often essential. Additionally, experience in leading projects or teams can be advantageous for senior roles.

Related salaries

Want to contribute?