Salary for Mid-level / Intermediate Research Analyst in United States during 2024

Salary details

The average mid-level / intermediate Research Analyst salary lies between USD 75,000 and USD 147,500 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 Mid-level / Intermediate Research Analyst roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 73 jobs Python | 41 jobs Statistics | 35 jobs SQL | 25 jobs Data analysis | 25 jobs R | 24 jobs Finance | 24 jobs Excel | 24 jobs Economics | 20 jobs Engineering | 20 jobs Tableau | 19 jobs Security | 17 jobs Data visualization | 16 jobs Power BI | 15 jobs Consulting | 13 jobs Machine Learning | 12 jobs Mathematics | 12 jobs Market research | 11 jobs Computer Science | 11 jobs Data Analytics | 8 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Research Analyst roles

The three most common job benefits and perks assiciated with mid-level / intermediate Research 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 | 51 jobs Health care | 32 jobs Flex hours | 22 jobs Competitive pay | 21 jobs Wellness | 20 jobs Team events | 20 jobs Flex vacation | 18 jobs Startup environment | 16 jobs Insurance | 16 jobs Equity / stock options | 15 jobs Conferences | 14 jobs Parental leave | 13 jobs Salary bonus | 12 jobs 401(k) matching | 10 jobs Medical leave | 9 jobs Unlimited paid time off | 7 jobs Transparency | 4 jobs Flexible spending account | 4 jobs Travel | 3 jobs Relocation support | 3 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate Research Analyst in AI/ML/Data Science typically includes a fixed base salary, performance-based bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Bonuses can vary significantly depending on the company and industry, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations, especially in finance or healthcare, bonuses might be more substantial, reflecting the company's profitability and individual performance.

Increasing Salary

To increase your salary from this position, consider the following steps:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in high-demand areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a relevant field can open up higher-paying opportunities.
• Networking: Engage with professional networks and attend industry conferences to connect with leaders and learn about new opportunities.
• Leadership Roles: Aim for roles with more responsibility, such as team lead or project manager, which often come with higher pay.
• Switching Companies: Sometimes, moving to a different company can result in a significant salary increase, especially if the new company values your specific skill set more highly.

Educational Requirements

Most mid-level 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, many employers prefer candidates with a master's degree or higher, especially for roles that involve complex data analysis and model development. A strong foundation in programming, statistics, and machine learning principles is essential.

Helpful Certificates

While not always mandatory, certain certifications can enhance your resume 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 and knowledge, making you a more competitive candidate.

Required Experience

Typically, a mid-level research analyst role requires 3 to 5 years of experience in data analysis, machine learning, or a related field. Experience with data manipulation, statistical analysis, and machine learning model development is crucial. Familiarity with programming languages such as Python or R, and tools like TensorFlow, PyTorch, or scikit-learn, is often expected. Experience in a specific industry, such as finance, healthcare, or technology, can also be beneficial.

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