Research Analyst Salary in United States during 2024

Salary details

The average Research Analyst salary lies between USD 80,000 and USD 154,000 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

Salary trend

Top 20 Job Tags for Research Analyst roles

The three most common job tag items assiciated with Research Analyst job listings are Research, 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:

Research | 501 jobs Python | 336 jobs Statistics | 292 jobs Excel | 233 jobs R | 232 jobs Data analysis | 191 jobs SQL | 188 jobs Economics | 162 jobs Engineering | 162 jobs Mathematics | 143 jobs Security | 137 jobs Finance | 136 jobs Machine Learning | 104 jobs Power BI | 99 jobs Computer Science | 99 jobs Tableau | 97 jobs SAS | 95 jobs Data visualization | 84 jobs Market research | 83 jobs Data Analytics | 70 jobs

Top 20 Job Perks/Benefits for Research Analyst roles

The three most common job benefits and perks assiciated with Research Analyst job listings are Career development, Health care and Competitive pay. 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 | 313 jobs Health care | 245 jobs Competitive pay | 136 jobs Flex hours | 131 jobs Equity / stock options | 125 jobs Startup environment | 116 jobs Insurance | 111 jobs Team events | 105 jobs Wellness | 94 jobs Flex vacation | 87 jobs Medical leave | 70 jobs Salary bonus | 62 jobs Parental leave | 53 jobs 401(k) matching | 46 jobs Conferences | 37 jobs Transparency | 18 jobs Relocation support | 15 jobs Flexible spending account | 13 jobs Fitness / gym | 9 jobs Home office stipend | 9 jobs

Salary Composition

In the United States, the salary composition for a Research Analyst in AI/ML/Data Science typically includes a 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 depending on the company and industry, often ranging from 10% to 20% of the total compensation. 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 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. Similarly, larger companies may offer more comprehensive compensation packages compared to smaller firms.

Increasing Salary

To increase your salary from a Research Analyst position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging AI/ML technologies and tools.
• Advanced Education: Pursue further education, such as a master's or Ph.D., which can open doors to higher-level positions.
• Networking: Build a strong professional network within the industry to learn about new opportunities and trends.
• Specialization: Develop expertise in a niche area of AI/ML that is in high demand, such as natural language processing or computer vision.
• Leadership Roles: Aim for leadership or managerial roles that come with higher responsibilities and compensation.

Educational Requirements

Most Research 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 mathematics. However, a master's degree is often preferred and can significantly enhance your prospects. Some roles, especially those in research-intensive environments, may require a Ph.D. in a relevant discipline.

Helpful Certifications

While not always mandatory, certain certifications can bolster your credentials 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 help validate your skills and make you more competitive in the job market.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in data analysis, machine learning, or a related field. Experience with specific tools and technologies, such as Python, R, SQL, and machine learning frameworks like TensorFlow or PyTorch, is often required. Experience in a particular industry, such as finance, healthcare, or technology, can also be advantageous.

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