Salary for Mid-level / Intermediate Research Analyst during 2024

Salary details

The average mid-level / intermediate Research Analyst salary lies between USD 75,000 and USD 145,000 globally. 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.

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

The salary for a Mid-level/Intermediate Research Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options, profit-sharing, or benefits like health insurance and retirement plans, can make up the remaining 5-10%.

Regional differences play a significant role in salary composition. For instance, tech hubs like Silicon Valley or New York may offer higher base salaries and stock options, while regions with a lower cost of living might provide more modest compensation packages. Industry also influences salary composition; tech companies might offer more in stock options, whereas financial firms might provide higher cash bonuses. Company size can affect the package as well, with larger companies often offering more comprehensive benefits and smaller startups providing equity as a significant part of the compensation.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. 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 or Ph.D. in a relevant field can open doors to higher-paying roles.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn. Networking can lead to opportunities in higher-paying companies or roles.
• Certifications: Obtain advanced certifications in AI/ML to demonstrate your expertise and commitment to the field.
• Leadership Roles: Seek opportunities to lead projects or teams, as leadership experience can lead to higher-paying managerial positions.

Educational Requirements

Most Mid-level/Intermediate Research Analyst positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. However, many employers prefer candidates with a master's degree or higher, especially for research-focused roles. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for developing and implementing AI/ML models.

Helpful Certifications

Several certifications can enhance your qualifications for a research analyst role in AI/ML:

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Data Science Professional Certificate by IBM

These certifications demonstrate your expertise in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a Mid-level/Intermediate Research Analyst position requires 3-5 years of experience in AI/ML or data science. This experience should include hands-on work with machine learning models, data analysis, and programming in languages like Python or R. Experience with data visualization tools and cloud platforms is also beneficial. Employers look for candidates who have successfully completed projects that demonstrate their ability to apply AI/ML techniques to solve real-world problems.

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