Salary for Entry-level / Junior Insight Analyst in United States during 2024

Salary details

The average entry-level / junior Insight Analyst salary lies between USD 67,500 and USD 96,000 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. 22, 2024

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

The three most common job tag items assiciated with entry-level / junior Insight Analyst job listings are SQL, Excel and Data analysis. 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:

SQL | 81 jobs Excel | 75 jobs Data analysis | 56 jobs Power BI | 55 jobs Statistics | 55 jobs Research | 53 jobs Python | 47 jobs Tableau | 41 jobs Market research | 29 jobs Testing | 27 jobs R | 26 jobs Finance | 24 jobs Data visualization | 21 jobs Data Analytics | 20 jobs CX | 20 jobs Agile | 20 jobs Economics | 17 jobs Mathematics | 16 jobs Engineering | 15 jobs KPIs | 14 jobs

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

The three most common job benefits and perks assiciated with entry-level / junior Insight Analyst job listings are Career development, Flex hours and Health care. 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 | 95 jobs Flex hours | 67 jobs Health care | 46 jobs Salary bonus | 42 jobs Startup environment | 38 jobs Team events | 38 jobs Competitive pay | 35 jobs Insurance | 24 jobs Parental leave | 21 jobs Flex vacation | 20 jobs Medical leave | 20 jobs Equity / stock options | 17 jobs Fitness / gym | 8 jobs Wellness | 7 jobs Snacks / Drinks | 4 jobs Travel | 3 jobs 401(k) matching | 2 jobs Conferences | 2 jobs Relocation support | 2 jobs Home office stipend | 2 jobs

Salary Composition

The salary for an Entry-level/Junior Insight Analyst in the AI/ML/Data Science field typically consists of a base salary, potential bonuses, and 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 package. Bonuses can vary significantly depending on the company’s performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses and stock options might be more prevalent, whereas in other regions, the focus might be more on the base salary. Larger companies often offer more comprehensive benefits packages, including health insurance, retirement plans, and sometimes educational reimbursements, which can add significant value to the overall compensation.

Steps to Increase Salary

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

• Skill Enhancement: Continuously upgrade your skills in programming languages like Python or R, and tools like SQL, Tableau, or Power BI. Proficiency in machine learning frameworks such as TensorFlow or PyTorch can also be beneficial.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive for higher-paying roles.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn to learn about new opportunities and trends.
• Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your value to the organization.
• Negotiation: When the time is right, negotiate for a raise or promotion based on your contributions and market research.

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, Mathematics, or Engineering. Some roles may accept candidates with degrees in other fields if they have relevant skills and experience. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certifications

While not always required, certain certifications can enhance your resume and demonstrate your commitment to the field. Some popular certifications include:

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

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

Experience Requirements

For an entry-level position, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects. Experience with data analysis, statistical modeling, and machine learning projects, even if they are academic or personal, can be valuable. Demonstrating your ability to work with data and derive insights is crucial.

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