Salary for Senior-level / Expert Product Analyst in United States during 2024

Salary details

The average senior-level / expert Product Analyst salary lies between USD 142,000 and USD 203,500 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 Senior-level / Expert Product Analyst roles

The three most common job tag items assiciated with senior-level / expert 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 | 98 jobs SQL | 97 jobs Statistics | 82 jobs Tableau | 70 jobs Engineering | 63 jobs A/B testing | 56 jobs Testing | 48 jobs Data analysis | 43 jobs R | 41 jobs KPIs | 41 jobs Looker | 38 jobs Data visualization | 32 jobs Mathematics | 32 jobs Machine Learning | 31 jobs Research | 29 jobs Power BI | 27 jobs Computer Science | 26 jobs Economics | 24 jobs Excel | 23 jobs Data Analytics | 19 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Product Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 73 jobs Startup environment | 51 jobs Health care | 43 jobs Equity / stock options | 40 jobs Competitive pay | 31 jobs Medical leave | 31 jobs Team events | 30 jobs Parental leave | 29 jobs Flex hours | 26 jobs Insurance | 19 jobs Flex vacation | 18 jobs Salary bonus | 14 jobs 401(k) matching | 7 jobs Lunch / meals | 7 jobs Wellness | 7 jobs Gear | 7 jobs Fitness / gym | 7 jobs Paid sabbatical | 7 jobs Relocation support | 4 jobs Yoga | 4 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Product Analyst in AI/ML/Data Science typically includes a combination of base salary, bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the majority of the total compensation package, ranging from 60% to 80%. Bonuses, which can be performance-based or company-wide, usually account for 10% to 20% of the total compensation. Additional remuneration, such as stock options, equity, or profit-sharing, can vary significantly depending on the company size and industry. For instance, tech giants and startups in Silicon Valley might offer substantial equity packages, while companies in other regions or industries might focus more on cash bonuses.

Increasing Salary Further

To increase your salary beyond the median of USD 172,125, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or AI ethics can make you more valuable.
• Leadership Roles: Transition into leadership or managerial roles, such as a Product Manager or Director of Product Analytics, which typically offer higher compensation.
• Networking: Build a strong professional network within the industry. Attend conferences, webinars, and workshops to connect with industry leaders and peers.
• Negotiation: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.
• Advanced Education: Pursue advanced degrees or certifications that can justify a higher salary.

Educational Requirements

Most Senior-level or Expert 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 Mathematics. However, a master's degree or Ph.D. is often preferred, especially for roles that demand a deep understanding of complex algorithms and data structures. Advanced degrees can also provide a competitive edge and may be necessary for roles in research-intensive industries or companies.

Helpful Certifications

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

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Professional Machine Learning Engineer: Demonstrates proficiency in designing, building, and productionizing ML models.
• AWS Certified Machine Learning – Specialty: Shows expertise in using AWS services for machine learning.
• Microsoft Certified: Azure AI Engineer Associate: Highlights skills in using Azure AI services.

Required Experience

Typically, a Senior-level or Expert Product Analyst role requires 5 to 10 years of experience in data analysis, product analytics, or a related field. Experience in AI/ML projects, leading cross-functional teams, and a proven track record of driving product improvements through data-driven insights are highly valued. Experience in specific industries, such as finance, healthcare, or technology, can also be advantageous.

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