Salary for Mid-level / Intermediate Research Analyst during 2023

Salary details

The average mid-level / intermediate Research Analyst salary lies between USD 70,000 and USD 102,000 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: Nov. 24, 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

The salary for a Mid-level/Intermediate Research Analyst in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. 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, profit-sharing, or other benefits, can make up the remaining 5% to 10%.

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

Increasing Salary

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

• Skill Enhancement: Continuously update and expand your technical skills, particularly in high-demand areas like deep learning, natural language processing, or big data analytics.
• Advanced Education: Pursuing a master's degree 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 to learn about new opportunities and trends.
• Certifications: Obtain relevant certifications that can validate your expertise and make you more attractive to employers.
• Leadership Roles: Seek opportunities to lead projects or teams, which can demonstrate your capability for higher-level positions.
• Industry Switch: Consider moving to industries that offer higher compensation for AI/ML roles, such as finance or healthcare.

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, mathematics, or engineering. However, many employers prefer candidates with a master's degree or even a Ph.D., especially for research-intensive roles. A strong foundation in statistics, programming, and machine learning is essential, and coursework in data analysis, algorithms, and software engineering is highly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable certifications include:

• 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 knowledge, making you a more competitive candidate.

Required Experience

Typically, a Mid-level/Intermediate Research Analyst role requires 3 to 5 years of experience in data science, machine learning, or a related field. This experience should include hands-on work with data analysis, model development, and deployment. Experience with programming languages such as Python or R, as well as familiarity with machine learning frameworks like TensorFlow or PyTorch, is often expected. Additionally, experience in a specific industry can be advantageous, as it provides domain knowledge that can be critical for certain roles.

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