Salary for Entry-level / Junior Analyst during 2024

Salary details

The average entry-level / junior Analyst salary lies between USD 67,500 and USD 114,918 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 Analyst roles

The three most common job tag items assiciated with entry-level / junior Analyst job listings are SQL, Python and Excel. 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 | 7983 jobs Python | 6697 jobs Excel | 5483 jobs Statistics | 5166 jobs Data analysis | 5094 jobs Power BI | 4696 jobs Engineering | 4213 jobs Tableau | 4153 jobs Research | 3636 jobs Computer Science | 3431 jobs R | 3420 jobs Data Analytics | 3086 jobs Finance | 2926 jobs Mathematics | 2714 jobs Data visualization | 2589 jobs Data quality | 2430 jobs Data management | 2379 jobs Testing | 2303 jobs Business Intelligence | 2213 jobs Machine Learning | 2160 jobs

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

The three most common job benefits and perks assiciated with entry-level / junior 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 | 7320 jobs Health care | 4308 jobs Flex hours | 3532 jobs Competitive pay | 2485 jobs Team events | 2304 jobs Equity / stock options | 2162 jobs Startup environment | 2151 jobs Insurance | 1988 jobs Flex vacation | 1852 jobs Salary bonus | 1671 jobs Parental leave | 1368 jobs Medical leave | 1357 jobs Wellness | 1233 jobs 401(k) matching | 829 jobs Fitness / gym | 386 jobs Relocation support | 356 jobs Transparency | 326 jobs Home office stipend | 307 jobs Flexible spending account | 295 jobs Gear | 269 jobs

Salary Composition

The salary for an entry-level or junior analyst position 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 package. Performance bonuses can vary significantly depending on the company’s policy and your individual performance. Additional remuneration might include stock options, especially in tech companies or startups, and benefits like health insurance, retirement plans, and paid time off.

The composition can vary by region, industry, and company size. For instance, tech hubs like Silicon Valley or New York might offer higher base salaries and stock options, while companies in other regions might focus more on bonuses. Larger companies often have more structured compensation packages, whereas startups might offer more equity to compensate for lower base salaries.

Steps to Increase Salary

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

• Skill Enhancement: Continuously upgrade your skills in AI/ML and data science. Specializing in high-demand areas like deep learning, natural language processing, or data engineering can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can enhance your qualifications and open up higher-paying opportunities.
• Networking: Build a strong professional network. Attend industry conferences, join relevant online communities, and connect with professionals in your field.
• Performance Excellence: Consistently exceed performance expectations in your current role. Demonstrating your value can lead to promotions and salary increases.
• Explore Opportunities: Be open to new job opportunities that offer better compensation. Sometimes, changing companies can lead to significant salary jumps.

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 positions might accept degrees in other fields if you have relevant experience or skills. A strong foundation in programming, statistics, and data analysis is essential.

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
• IBM Data Science Professional Certificate

These certifications can validate your skills and make you more competitive in the job market.

Experience Requirements

For entry-level positions, employers typically look for candidates with some practical experience, which can be gained through internships, projects, or relevant coursework. Experience with programming languages like Python or R, and familiarity with data analysis tools and machine learning frameworks, is often expected.

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