Salary for Entry-level / Junior Research Analyst in United States during 2023

Salary details

The average entry-level / junior Research Analyst salary lies between USD 54,400 and USD 90,000 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: Nov. 24, 2024

Salary trend

Top 20 Job Tags for Entry-level / Junior Research Analyst roles

The three most common job tag items assiciated with entry-level / junior Research Analyst job listings are Research, Python and SQL. 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 | 58 jobs Python | 42 jobs SQL | 30 jobs Statistics | 29 jobs Excel | 26 jobs Economics | 23 jobs Data analysis | 23 jobs R | 17 jobs Market research | 17 jobs Machine Learning | 15 jobs Engineering | 14 jobs Privacy | 13 jobs Consulting | 11 jobs Finance | 11 jobs Power BI | 11 jobs Mathematics | 10 jobs Security | 9 jobs Tableau | 8 jobs Data Analytics | 7 jobs Data visualization | 7 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Research Analyst roles

The three most common job benefits and perks assiciated with entry-level / junior Research Analyst job listings are Career development, Flex hours and Team events. 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 | 31 jobs Flex hours | 27 jobs Team events | 23 jobs Health care | 15 jobs Startup environment | 15 jobs Competitive pay | 14 jobs Equity / stock options | 12 jobs 401(k) matching | 9 jobs Flex vacation | 9 jobs Insurance | 8 jobs Salary bonus | 8 jobs Medical leave | 7 jobs Parental leave | 5 jobs Wellness | 4 jobs Fertility benefits | 4 jobs Gear | 2 jobs Lunch / meals | 1 jobs Fitness / gym | 1 jobs Conferences | 1 jobs Relocation support | 1 jobs

Salary Composition

In the United States, the salary composition for an entry-level or junior research analyst in AI/ML/Data Science typically includes a fixed base salary, which forms the bulk of the compensation package. The median salary of USD 67,500 often reflects this base amount. However, depending on the region, industry, and company size, additional components such as bonuses and stock options may be included.

• Region: In tech hubs like San Francisco or New York, companies might offer higher base salaries to account for the cost of living, along with performance bonuses. In contrast, companies in smaller cities might offer lower base salaries but compensate with other benefits.
• Industry: Tech companies and financial institutions often provide competitive bonuses and stock options, whereas academic or non-profit organizations might focus more on base salary and benefits like tuition reimbursement.
• Company Size: Larger companies may offer more structured bonus programs and stock options, while startups might offer equity as a significant part of the compensation package to attract talent.

Steps to Increase Salary

To increase your salary from an entry-level position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your technical skills, especially in programming languages like Python and R, and tools like TensorFlow or PyTorch.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive.
• Networking: Engage with professional communities and attend industry conferences to expand your network and learn about new opportunities.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and salary raises.
• Specialization: Develop expertise in a niche area of AI/ML, such as natural language processing or computer vision, which can command higher salaries.

Educational Requirements

Most entry-level 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. Some employers may prefer candidates with a master's degree, especially for roles that involve more complex data analysis or machine learning model development.

Helpful Certifications

While not always mandatory, certain certifications can enhance your resume and demonstrate your commitment to the field:

• Certified Data Scientist (CDS)
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• IBM Data Science Professional Certificate
• AWS Certified Machine Learning – Specialty

These certifications can provide a structured learning path and validate your skills to potential employers.

Experience Requirements

For entry-level roles, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant project work during your studies. Experience with data analysis, machine learning projects, or software development is often valued.

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