Salary for Mid-level / Intermediate Research Analyst in United States during 2023

Salary details

The average mid-level / intermediate Research Analyst salary lies between USD 70,000 and USD 102,000 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. 8, 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, Excel and Python. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Research | 25 jobs Excel | 15 jobs Python | 12 jobs SQL | 12 jobs Economics | 10 jobs Power BI | 10 jobs Statistics | 10 jobs Machine Learning | 9 jobs Data analysis | 9 jobs R | 8 jobs Open Source | 8 jobs Tableau | 8 jobs Data Analytics | 7 jobs Business Intelligence | 6 jobs Classification | 6 jobs Engineering | 5 jobs Consulting | 5 jobs Industrial | 5 jobs Market research | 5 jobs Finance | 4 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, Team events and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 9 jobs Team events | 9 jobs Startup environment | 7 jobs Flex hours | 5 jobs Health care | 5 jobs Conferences | 4 jobs Wellness | 3 jobs Equity / stock options | 1 jobs Competitive pay | 1 jobs Snacks / Drinks | 1 jobs Yoga | 1 jobs Insurance | 1 jobs Salary bonus | 1 jobs Flexible spending account | 1 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 base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements.

• Region: Salaries can vary by region, with tech hubs like San Francisco, New York, and Seattle offering higher base salaries and bonuses due to the higher cost of living and competitive job markets.
• Industry: Industries such as finance, healthcare, and technology tend to offer higher compensation packages compared to academia or non-profit sectors.
• Company Size: Larger companies often provide more comprehensive compensation packages, including bonuses and stock options, while smaller companies might offer higher base salaries to attract talent but with fewer additional benefits.

Increasing Salary

To increase your salary from a Mid-level/Intermediate position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging technologies and tools in AI/ML.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities and trends.
• 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/Intermediate 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 research-focused roles. A strong foundation in programming, data analysis, and machine learning principles is essential.

Helpful Certifications

While not always required, 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 in specific tools and platforms, making you a more attractive candidate to potential employers.

Experience Requirements

Typically, a Mid-level/Intermediate Research Analyst role requires 3-5 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 (e.g., TensorFlow, PyTorch) is often expected. Practical experience in handling large datasets, building predictive models, and deploying machine learning solutions is highly valued.

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