Salary for Entry-level / Junior Analyst during 2024

Salary details

The average entry-level / junior Analyst salary lies between USD 65,600 and USD 115,000 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: Nov. 10, 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 | 6789 jobs Python | 5610 jobs Excel | 4621 jobs Statistics | 4287 jobs Data analysis | 4231 jobs Power BI | 3913 jobs Tableau | 3520 jobs Engineering | 3486 jobs Research | 3082 jobs Computer Science | 2905 jobs R | 2849 jobs Data Analytics | 2614 jobs Finance | 2407 jobs Mathematics | 2251 jobs Data visualization | 2136 jobs Data quality | 2068 jobs Data management | 1999 jobs Business Intelligence | 1947 jobs Testing | 1936 jobs Machine Learning | 1826 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 | 6181 jobs Health care | 3646 jobs Flex hours | 3020 jobs Competitive pay | 2093 jobs Team events | 1969 jobs Startup environment | 1850 jobs Equity / stock options | 1807 jobs Insurance | 1679 jobs Flex vacation | 1587 jobs Salary bonus | 1408 jobs Parental leave | 1151 jobs Medical leave | 1151 jobs Wellness | 1039 jobs 401(k) matching | 723 jobs Fitness / gym | 325 jobs Relocation support | 295 jobs Transparency | 260 jobs Home office stipend | 258 jobs Flexible spending account | 247 jobs Gear | 226 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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