Salary for Entry-level / Junior Research Analyst during 2024

Salary details

The average entry-level / junior Research Analyst salary lies between USD 73,476 and USD 137,000 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: Feb. 2, 2025

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 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 | 273 jobs Python | 173 jobs Statistics | 168 jobs Excel | 144 jobs R | 136 jobs Data analysis | 113 jobs SQL | 95 jobs Economics | 95 jobs Mathematics | 82 jobs Engineering | 78 jobs Finance | 70 jobs Machine Learning | 63 jobs SAS | 62 jobs Security | 61 jobs Power BI | 53 jobs Market research | 51 jobs Tableau | 50 jobs Computer Science | 49 jobs Stata | 37 jobs Data visualization | 36 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, 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 | 171 jobs Health care | 126 jobs Flex hours | 70 jobs Equity / stock options | 68 jobs Competitive pay | 59 jobs Startup environment | 56 jobs Insurance | 52 jobs Flex vacation | 41 jobs Team events | 40 jobs Salary bonus | 34 jobs Medical leave | 33 jobs Wellness | 32 jobs 401(k) matching | 22 jobs Parental leave | 19 jobs Conferences | 14 jobs Transparency | 7 jobs Relocation support | 6 jobs Flexible spending account | 6 jobs Fitness / gym | 5 jobs Fertility benefits | 4 jobs

Salary Composition

The salary for an entry-level or junior research analyst in AI/ML/Data Science typically consists of a base salary, performance bonuses, and sometimes additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 5% to 20% of the base salary. Additional remuneration, such as stock options, is more common in tech startups or large tech companies and can be a significant part of the compensation package, especially in regions like Silicon Valley. In terms of regional differences, salaries tend to be higher in tech hubs like San Francisco, New York, and Seattle compared to other regions. Industry-wise, tech companies and financial services often offer higher compensation compared to academia or non-profit sectors.

Next Steps for Salary Increase

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

• Skill Enhancement: Continuously upgrade your skills in high-demand areas such as deep learning, natural language processing, or big data analytics. This can make you more valuable to your employer.
• Advanced Education: Pursuing a master's or Ph.D. in a relevant field can open up higher-paying opportunities and roles with more responsibility.
• Networking: Building a strong professional network can lead to opportunities for higher-paying positions, either within your current company or elsewhere.
• Performance Excellence: Consistently exceeding performance expectations can lead to promotions and salary increases.
• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary negotiations.

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, mathematics, or statistics. However, many employers prefer candidates with a master's degree or higher, especially for roles that involve more complex data analysis or research. Coursework in machine learning, data mining, statistical analysis, and programming is highly beneficial.

Helpful Certifications

While not always required, certain certifications can enhance your resume and demonstrate your expertise:

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

These certifications can help validate your skills and knowledge in specific tools and platforms commonly used in the industry.

Required Experience

For entry-level positions, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects. Experience with programming languages such as Python or R, familiarity with machine learning frameworks like TensorFlow or PyTorch, and hands-on experience with data analysis and visualization tools are often expected.

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