Salary for Entry-level / Junior Insight Analyst during 2024

Salary details

The average entry-level / junior Insight Analyst salary lies between USD 50,000 and USD 85,280 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. 15, 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 AI/ML/Data Science typically consists of a fixed base salary, which forms the bulk of the compensation package. This base salary can vary significantly depending on the region, industry, and company size. For instance, tech hubs like San Francisco or New York may offer higher base salaries compared to smaller cities. In addition to the base salary, many companies offer performance-based bonuses, which can range from 5% to 15% of the base salary. Larger companies or those in competitive industries might also provide additional remuneration such as stock options, profit-sharing, or other incentives to attract and retain talent.

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. Mastering machine learning frameworks such as TensorFlow or PyTorch can also be beneficial.
• Advanced Education: Pursuing a master's degree or specialized courses in data science or machine learning can make you more competitive.
• Networking: Engage with professional communities, attend industry conferences, and participate in online forums to expand your network and learn about new opportunities.
• Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your value to the organization.
• Certifications: Obtain relevant certifications to validate your skills and knowledge, which can lead to promotions or higher-paying roles.

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 employers may prefer candidates with a master's degree, especially for roles that require more specialized knowledge or technical expertise.

Helpful Certifications

While not always mandatory, certain certifications can enhance your resume and demonstrate your commitment to the field. Some valuable 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 help you stand out in a competitive job market and may lead to better job prospects and salary negotiations.

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 project work during your studies. Demonstrating hands-on experience with data analysis, machine learning models, and data visualization tools can be advantageous.

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