Product Analyst Salary in United States during 2024

Salary details

The average Product Analyst salary lies between USD 97,000 and USD 200,700 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: Nov. 17, 2024

Top 20 Job Tags for Product Analyst roles

The three most common job tag items assiciated with Product Analyst job listings are Python, SQL and Statistics. 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 | 192 jobs SQL | 190 jobs Statistics | 150 jobs Tableau | 130 jobs Engineering | 123 jobs A/B testing | 92 jobs R | 89 jobs Testing | 89 jobs Data analysis | 84 jobs Machine Learning | 77 jobs Data visualization | 69 jobs Mathematics | 67 jobs Computer Science | 65 jobs Power BI | 61 jobs KPIs | 61 jobs Looker | 60 jobs Research | 60 jobs Economics | 43 jobs Excel | 42 jobs ETL | 34 jobs

Top 20 Job Perks/Benefits for Product Analyst roles

The three most common job benefits and perks assiciated with Product Analyst job listings are Career development, Startup environment 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 | 155 jobs Startup environment | 88 jobs Health care | 69 jobs Competitive pay | 61 jobs Equity / stock options | 58 jobs Flex hours | 54 jobs Team events | 52 jobs Medical leave | 44 jobs Parental leave | 39 jobs Salary bonus | 32 jobs Flex vacation | 30 jobs Insurance | 30 jobs Wellness | 21 jobs Lunch / meals | 19 jobs Gear | 17 jobs 401(k) matching | 11 jobs Yoga | 10 jobs Paid sabbatical | 10 jobs Fitness / gym | 8 jobs Relocation support | 8 jobs

Salary Composition for a Product Analyst in AI/ML/Data Science

The salary for a Product Analyst in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies or startups, and comprehensive benefits packages that cover health insurance, retirement plans, and other perks.

The composition of the salary can vary based on several factors:

• Region: Salaries in tech hubs like San Francisco, New York, or Seattle tend to be higher due to the cost of living and demand for talent.
• Industry: Tech companies, especially those focused on AI and data science, often offer higher salaries compared to other industries.
• Company Size: Larger companies may offer more comprehensive benefits and stock options, while startups might offer higher equity stakes in lieu of a higher base salary.

Steps to Increase Salary from a Product Analyst Position

To increase your salary from a Product Analyst position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Mastering new tools and technologies can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized courses in data science or AI can open up higher-paying opportunities.
• Networking: Build a strong professional network. Engaging with industry professionals can lead to new opportunities and insights into higher-paying roles.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and salary increases.
• Negotiation Skills: Develop strong negotiation skills to effectively advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements for a Product Analyst Role

Most Product Analyst positions in AI/ML/Data Science require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. A strong foundation in mathematics and statistics is often essential. Some roles may prefer candidates with a master's degree, especially for more senior positions or roles that require specialized knowledge in AI or machine learning.

Helpful Certifications for a Product Analyst

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Data Analytics Professional Certificate: Offers foundational skills in data analysis.
• AWS Certified Machine Learning – Specialty: Demonstrates expertise in building, training, and deploying machine learning models on AWS.
• Microsoft Certified: Azure Data Scientist Associate: Validates your skills in applying data science techniques on Azure.

Experience Requirements for a Product Analyst Role

Typically, a Product Analyst role requires 2-5 years of experience in data analysis, product management, or a related field. Experience with data visualization tools, statistical analysis, and familiarity with AI/ML concepts is often expected. Experience in a specific industry can also be beneficial, as it provides context and understanding of industry-specific challenges and opportunities.

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