Salary for Entry-level / Junior Product Analyst during 2024

Salary details

The average entry-level / junior Product Analyst salary lies between USD 75,000 and USD 106,000 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. 24, 2024

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

The three most common job tag items assiciated with entry-level / junior Product Analyst job listings are Python, SQL and Tableau. 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:

Python | 74 jobs SQL | 73 jobs Tableau | 53 jobs Statistics | 51 jobs Engineering | 46 jobs R | 39 jobs Machine Learning | 36 jobs Data analysis | 34 jobs Testing | 33 jobs Data visualization | 33 jobs Computer Science | 32 jobs Power BI | 29 jobs A/B testing | 27 jobs Research | 26 jobs Mathematics | 26 jobs Agile | 19 jobs Excel | 19 jobs UX | 16 jobs KPIs | 15 jobs Looker | 14 jobs

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

The three most common job benefits and perks assiciated with entry-level / junior Product Analyst job listings are Career development, Startup environment and Competitive pay. 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 | 70 jobs Startup environment | 31 jobs Competitive pay | 24 jobs Team events | 22 jobs Health care | 21 jobs Flex hours | 18 jobs Salary bonus | 16 jobs Equity / stock options | 12 jobs Lunch / meals | 11 jobs Flex vacation | 10 jobs Wellness | 9 jobs Medical leave | 9 jobs Insurance | 9 jobs Parental leave | 8 jobs Gear | 8 jobs Yoga | 5 jobs 401(k) matching | 4 jobs Transparency | 3 jobs Relocation support | 3 jobs Pet friendly | 3 jobs

Salary Composition

The salary for an entry-level or junior product 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 package. Performance bonuses can vary significantly depending on the company’s policies and the individual's 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 smaller companies or those in less competitive regions might offer lower base salaries but compensate with other benefits. Industries such as finance or healthcare might offer different bonus structures compared to tech companies.

Increasing Salary

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

• Skill Development: Continuously improve your technical skills, especially 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, machine learning, or business analytics can make you more competitive for higher-paying roles.

• Networking: Build a strong professional network by attending industry conferences, joining relevant online communities, and connecting with peers and mentors in the field.

• Performance Excellence: Consistently exceed performance expectations in your current role to position yourself for promotions or salary negotiations.

• Certifications: Obtain relevant certifications that can validate your skills and knowledge, making you more attractive to employers.

Educational Requirements

Most entry-level product analyst 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 skills.

Helpful Certifications

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 by showcasing your expertise and dedication to continuous learning.

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 during your studies. Experience with data analysis, statistical modeling, and familiarity with data visualization tools is often expected. Demonstrating hands-on experience with real-world data problems can be a significant advantage.

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